2025-07-17T06:59:49.7132431Z Current runner version: '2.326.0' 2025-07-17T06:59:49.7142361Z Runner name: 'i-0d326a62c28fd400c' 2025-07-17T06:59:49.7143732Z Runner group name: 'default' 2025-07-17T06:59:49.7145156Z Machine name: 'ip-10-0-52-108' 2025-07-17T06:59:49.7149998Z ##[group]GITHUB_TOKEN Permissions 2025-07-17T06:59:49.7153257Z Contents: read 2025-07-17T06:59:49.7154192Z Metadata: read 2025-07-17T06:59:49.7155032Z ##[endgroup] 2025-07-17T06:59:49.7158444Z Secret source: Actions 2025-07-17T06:59:49.7159637Z Prepare workflow directory 2025-07-17T06:59:49.7820353Z Prepare all required actions 2025-07-17T06:59:49.7863823Z Getting action download info 2025-07-17T06:59:50.0780062Z Download action repository 'pytorch/test-infra@main' (SHA:a9ec424ad5e5851e47d68139cfd953b4031778d5) 2025-07-17T06:59:51.8041117Z Download action repository 'pytorch/pytorch@main' (SHA:d76323d41742cbc05ec6857319b267d2c7ea8fd9) 2025-07-17T07:00:05.3482715Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-07-17T07:00:05.6618608Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-07-17T07:00:05.8335023Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-07-17T07:00:05.9829105Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-07-17T07:00:06.2815691Z Getting action download info 2025-07-17T07:00:06.4030646Z Download action repository 'actions/checkout@v4' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683) 2025-07-17T07:00:06.6285090Z Getting action download info 2025-07-17T07:00:06.7410283Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-07-17T07:00:06.9220658Z Getting action download info 2025-07-17T07:00:07.0494354Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-07-17T07:00:07.2314410Z Getting action download info 2025-07-17T07:00:07.3745597Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (a38f433be2e94a64b095a44ba39879d02d0c2316) 2025-07-17T07:00:07.3749930Z ##[group] Inputs 2025-07-17T07:00:07.3750324Z build-environment: linux-jammy-py3.13-clang12 2025-07-17T07:00:07.3753367Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]} 2025-07-17T07:00:07.3756794Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:00:07.3757623Z sync-tag: 2025-07-17T07:00:07.3758433Z timeout-minutes: 600 2025-07-17T07:00:07.3758690Z use-gha: 2025-07-17T07:00:07.3758933Z dashboard-tag: 2025-07-17T07:00:07.3759186Z s3-bucket: gha-artifacts 2025-07-17T07:00:07.3759456Z aws-role-to-assume: 2025-07-17T07:00:07.3760017Z disable-monitor: false 2025-07-17T07:00:07.3760330Z monitor-log-interval: 5 2025-07-17T07:00:07.3760895Z monitor-data-collect-interval: 1 2025-07-17T07:00:07.3761331Z ##[endgroup] 2025-07-17T07:00:07.3761750Z Complete job name: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge) 2025-07-17T07:00:07.4223376Z A job started hook has been configured by the self-hosted runner administrator 2025-07-17T07:00:07.4325324Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-07-17T07:00:07.4334101Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:00:07.4334767Z ##[endgroup] 2025-07-17T07:00:08.7544915Z Runner Type: linux.2xlarge 2025-07-17T07:00:08.7545433Z Instance Type: c5.2xlarge 2025-07-17T07:00:08.7545702Z AMI Name: unknown 2025-07-17T07:00:08.7568463Z AMI ID: ami-05ffe3c48a9991133 2025-07-17T07:00:14.4647995Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-07-17T07:00:14.4648729Z with: 2025-07-17T07:00:14.4649610Z github-secret: *** 2025-07-17T07:00:14.4650923Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-07-17T07:00:14.4652416Z activate-with-label: false 2025-07-17T07:00:14.4652903Z label: with-ssh 2025-07-17T07:00:14.4653350Z remove-existing-keys: true 2025-07-17T07:00:14.4653867Z fail-silently: true 2025-07-17T07:00:14.4654296Z env: 2025-07-17T07:00:14.4654700Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:00:14.4655173Z ##[endgroup] 2025-07-17T07:00:14.5836801Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-07-17T07:00:14.5838418Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-07-17T07:00:14.6002079Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-07-17T07:00:14.6002551Z with: 2025-07-17T07:00:14.6002769Z no-sudo: true 2025-07-17T07:00:14.6003014Z submodules: recursive 2025-07-17T07:00:14.6003287Z fetch-depth: 0 2025-07-17T07:00:14.6003507Z env: 2025-07-17T07:00:14.6003733Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:00:14.6004017Z ##[endgroup] 2025-07-17T07:00:14.6087848Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-07-17T07:00:14.6088869Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-07-17T07:00:14.6097782Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:00:14.6098168Z env: 2025-07-17T07:00:14.6098438Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:00:14.6098754Z ##[endgroup] 2025-07-17T07:00:14.6192112Z ##[group]Run # Use all available CPUs for fetching 2025-07-17T07:00:14.6192583Z # Use all available CPUs for fetching 2025-07-17T07:00:14.6192930Z cd "${GITHUB_WORKSPACE}" 2025-07-17T07:00:14.6193290Z git config --global fetch.parallel 0 2025-07-17T07:00:14.6193694Z git config --global submodule.fetchJobs 0 2025-07-17T07:00:14.6194050Z  2025-07-17T07:00:14.6194504Z # Clean workspace. The default checkout action should also do this, but 2025-07-17T07:00:14.6195021Z # do it here as well just in case 2025-07-17T07:00:14.6195360Z if [[ -d .git ]]; then 2025-07-17T07:00:14.6195665Z  if [ -z "${NO_SUDO}" ]; then 2025-07-17T07:00:14.6195976Z  sudo git clean -ffdx 2025-07-17T07:00:14.6196265Z  else 2025-07-17T07:00:14.6196508Z  git clean -ffdx 2025-07-17T07:00:14.6196769Z  fi 2025-07-17T07:00:14.6196990Z fi 2025-07-17T07:00:14.6202590Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:00:14.6202996Z env: 2025-07-17T07:00:14.6203208Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:00:14.6203488Z NO_SUDO: true 2025-07-17T07:00:14.6203728Z ##[endgroup] 2025-07-17T07:00:14.6371229Z ##[group]Run actions/checkout@v4 2025-07-17T07:00:14.6371565Z with: 2025-07-17T07:00:14.6371821Z ref: a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:00:14.6372309Z fetch-depth: 0 2025-07-17T07:00:14.6372560Z submodules: recursive 2025-07-17T07:00:14.6372834Z show-progress: false 2025-07-17T07:00:14.6373098Z repository: pytorch/pytorch 2025-07-17T07:00:14.6373574Z token: *** 2025-07-17T07:00:14.6373807Z ssh-strict: true 2025-07-17T07:00:14.6374046Z ssh-user: git 2025-07-17T07:00:14.6374284Z persist-credentials: true 2025-07-17T07:00:14.6374562Z clean: true 2025-07-17T07:00:14.6374816Z sparse-checkout-cone-mode: true 2025-07-17T07:00:14.6375112Z fetch-tags: false 2025-07-17T07:00:14.6375350Z lfs: false 2025-07-17T07:00:14.6375586Z set-safe-directory: true 2025-07-17T07:00:14.6375857Z env: 2025-07-17T07:00:14.6376106Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:00:14.6376390Z ##[endgroup] 2025-07-17T07:00:14.7492465Z Syncing repository: pytorch/pytorch 2025-07-17T07:00:14.7493879Z ##[group]Getting Git version info 2025-07-17T07:00:14.7494378Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-07-17T07:00:14.7495106Z [command]/usr/bin/git version 2025-07-17T07:00:14.7495396Z git version 2.47.1 2025-07-17T07:00:14.7504856Z ##[endgroup] 2025-07-17T07:00:14.7514483Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/cae823cc-df7e-4ccb-b048-f00520524400/.gitconfig' 2025-07-17T07:00:14.7533283Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/cae823cc-df7e-4ccb-b048-f00520524400' before making global git config changes 2025-07-17T07:00:14.7534315Z Adding repository directory to the temporary git global config as a safe directory 2025-07-17T07:00:14.7546588Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-07-17T07:00:14.7583647Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-07-17T07:00:14.7587566Z ##[group]Initializing the repository 2025-07-17T07:00:14.7593426Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-07-17T07:00:14.7626006Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-07-17T07:00:14.7627091Z hint: is subject to change. To configure the initial branch name to use in all 2025-07-17T07:00:14.7627708Z hint: of your new repositories, which will suppress this warning, call: 2025-07-17T07:00:14.7628126Z hint: 2025-07-17T07:00:14.7628430Z hint: git config --global init.defaultBranch 2025-07-17T07:00:14.7628790Z hint: 2025-07-17T07:00:14.7629141Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-07-17T07:00:14.7629818Z hint: 'development'. The just-created branch can be renamed via this command: 2025-07-17T07:00:14.7630429Z hint: 2025-07-17T07:00:14.7630730Z hint: git branch -m 2025-07-17T07:00:14.7631415Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-07-17T07:00:14.7640194Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-07-17T07:00:14.7668196Z ##[endgroup] 2025-07-17T07:00:14.7673751Z ##[group]Disabling automatic garbage collection 2025-07-17T07:00:14.7674223Z [command]/usr/bin/git config --local gc.auto 0 2025-07-17T07:00:14.7700561Z ##[endgroup] 2025-07-17T07:00:14.7700990Z ##[group]Setting up auth 2025-07-17T07:00:14.7709071Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-07-17T07:00:14.7737882Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-07-17T07:00:14.8012593Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-07-17T07:00:14.8036940Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-07-17T07:00:14.8281801Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-07-17T07:00:14.8321965Z ##[endgroup] 2025-07-17T07:00:14.8322579Z ##[group]Fetching the repository 2025-07-17T07:00:14.8329595Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-07-17T07:01:08.5705900Z From https://github.com/pytorch/pytorch 2025-07-17T07:01:08.5706834Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-07-17T07:01:08.5707997Z * [new branch] 20250616_dtype_docs -> origin/20250616_dtype_docs 2025-07-17T07:01:08.5709152Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-07-17T07:01:08.5710604Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-07-17T07:01:08.5711886Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-07-17T07:01:08.5713094Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-07-17T07:01:08.5714232Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-07-17T07:01:08.5715941Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-07-17T07:01:08.5717608Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-07-17T07:01:08.5719504Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-07-17T07:01:08.5721602Z * [new branch] ZainRizvi-patch-1 -> origin/ZainRizvi-patch-1 2025-07-17T07:01:08.5723184Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-07-17T07:01:08.5724736Z * [new branch] addUtilForLinuxBuild -> origin/addUtilForLinuxBuild 2025-07-17T07:01:08.5726445Z * [new branch] add_windows_testing_back -> origin/add_windows_testing_back 2025-07-17T07:01:08.5728203Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-07-17T07:01:08.5729862Z * [new branch] addsimde -> origin/addsimde 2025-07-17T07:01:08.5733115Z * [new branch] adi/test -> origin/adi/test 2025-07-17T07:01:08.5734414Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-07-17T07:01:08.5736274Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-07-17T07:01:08.5737998Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-07-17T07:01:08.5739823Z * [new branch] adi/update_openblas -> origin/adi/update_openblas 2025-07-17T07:01:08.5742983Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-07-17T07:01:08.5744397Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-07-17T07:01:08.5746157Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-07-17T07:01:08.5747858Z * [new branch] alt-disable -> origin/alt-disable 2025-07-17T07:01:08.5750520Z * [new branch] angelayi/155426 -> origin/angelayi/155426 2025-07-17T07:01:08.5751857Z * [new branch] angelayi/157183 -> origin/angelayi/157183 2025-07-17T07:01:08.5753952Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-07-17T07:01:08.5755795Z * [new branch] angelayi/aoti_custom_op -> origin/angelayi/aoti_custom_op 2025-07-17T07:01:08.5757119Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-07-17T07:01:08.5758786Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-07-17T07:01:08.5761449Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-07-17T07:01:08.5763453Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-07-17T07:01:08.5765141Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-07-17T07:01:08.5767208Z * [new branch] angelayi/del_lib -> origin/angelayi/del_lib 2025-07-17T07:01:08.5768272Z * [new branch] angelayi/docs -> origin/angelayi/docs 2025-07-17T07:01:08.5769325Z * [new branch] angelayi/docs2 -> origin/angelayi/docs2 2025-07-17T07:01:08.5771193Z * [new branch] angelayi/dynamo_fake_input -> origin/angelayi/dynamo_fake_input 2025-07-17T07:01:08.5772072Z * [new branch] angelayi/errmsg -> origin/angelayi/errmsg 2025-07-17T07:01:08.5773226Z * [new branch] angelayi/fake_device -> origin/angelayi/fake_device 2025-07-17T07:01:08.5774347Z * [new branch] angelayi/int_lift_constants -> origin/angelayi/int_lift_constants 2025-07-17T07:01:08.5775771Z * [new branch] angelayi/logging.bak -> origin/angelayi/logging.bak 2025-07-17T07:01:08.5776629Z * [new branch] angelayi/logging2 -> origin/angelayi/logging2 2025-07-17T07:01:08.5777938Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-07-17T07:01:08.5778947Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-07-17T07:01:08.5780689Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-07-17T07:01:08.5781436Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-07-17T07:01:08.5782508Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-07-17T07:01:08.5783864Z * [new branch] angelayi/torchgenooops -> origin/angelayi/torchgenooops 2025-07-17T07:01:08.5784740Z * [new branch] angelayi/update_schema_msg -> origin/angelayi/update_schema_msg 2025-07-17T07:01:08.5785835Z * [new branch] aoti_static_linkage -> origin/aoti_static_linkage 2025-07-17T07:01:08.5787181Z * [new branch] atalman-inductor-perf-cu124 -> origin/atalman-inductor-perf-cu124 2025-07-17T07:01:08.5788332Z * [new branch] atalman-inductor-perf-cu124.1 -> 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ciflow/binaries/158151 2025-07-17T07:01:09.3052386Z * [new tag] ciflow/binaries_libtorch/143959 -> ciflow/binaries_libtorch/143959 2025-07-17T07:01:09.3053076Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-07-17T07:01:09.3053758Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-07-17T07:01:09.3054579Z * [new tag] ciflow/binaries_libtorch/157791 -> ciflow/binaries_libtorch/157791 2025-07-17T07:01:09.3055378Z * [new tag] ciflow/binaries_libtorch/157928 -> ciflow/binaries_libtorch/157928 2025-07-17T07:01:09.3056311Z * [new tag] ciflow/binaries_wheel/143959 -> ciflow/binaries_wheel/143959 2025-07-17T07:01:09.3056891Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-07-17T07:01:09.3057589Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-07-17T07:01:09.3058264Z * [new tag] ciflow/binaries_wheel/157791 -> ciflow/binaries_wheel/157791 2025-07-17T07:01:09.3058919Z * [new tag] ciflow/binaries_wheel/157928 -> ciflow/binaries_wheel/157928 2025-07-17T07:01:09.3059785Z * [new tag] ciflow/binaries_wheel/158408 -> ciflow/binaries_wheel/158408 2025-07-17T07:01:09.3060851Z * [new tag] ciflow/h100-cutlass-backend/156626 -> ciflow/h100-cutlass-backend/156626 2025-07-17T07:01:09.3061621Z * [new tag] ciflow/h100-distributed/144552 -> ciflow/h100-distributed/144552 2025-07-17T07:01:09.3062288Z * [new tag] ciflow/h100-distributed/150312 -> ciflow/h100-distributed/150312 2025-07-17T07:01:09.3063033Z * [new tag] ciflow/h100-distributed/156605 -> ciflow/h100-distributed/156605 2025-07-17T07:01:09.3063844Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-07-17T07:01:09.3064992Z * [new tag] ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845 2025-07-17T07:01:09.3065767Z * [new tag] ciflow/h100-symm-mem/157180 -> ciflow/h100-symm-mem/157180 2025-07-17T07:01:09.3066377Z * [new tag] ciflow/h100-symm-mem/157970 -> 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ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-07-17T07:01:09.3075542Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-07-17T07:01:09.3076308Z * [new tag] ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845 2025-07-17T07:01:09.3077298Z * [new tag] ciflow/inductor-rocm/156192 -> ciflow/inductor-rocm/156192 2025-07-17T07:01:09.3078034Z * [new tag] ciflow/inductor-rocm/157191 -> ciflow/inductor-rocm/157191 2025-07-17T07:01:09.3078705Z * [new tag] ciflow/inductor-rocm/157520 -> ciflow/inductor-rocm/157520 2025-07-17T07:01:09.3079470Z * [new tag] ciflow/inductor-rocm/158074 -> ciflow/inductor-rocm/158074 2025-07-17T07:01:09.3080277Z * [new tag] ciflow/inductor-rocm/158102 -> ciflow/inductor-rocm/158102 2025-07-17T07:01:09.3081578Z * [new tag] ciflow/inductor-rocm/158103 -> ciflow/inductor-rocm/158103 2025-07-17T07:01:09.3082225Z * [new tag] ciflow/inductor-rocm/158459 -> ciflow/inductor-rocm/158459 2025-07-17T07:01:09.3083000Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-07-17T07:01:09.3083707Z * [new tag] ciflow/inductor/138214 -> ciflow/inductor/138214 2025-07-17T07:01:09.3084395Z * [new tag] ciflow/inductor/139561 -> ciflow/inductor/139561 2025-07-17T07:01:09.3085089Z * [new tag] ciflow/inductor/143712 -> ciflow/inductor/143712 2025-07-17T07:01:09.3085742Z * [new tag] ciflow/inductor/144516 -> ciflow/inductor/144516 2025-07-17T07:01:09.3086437Z * [new tag] ciflow/inductor/144556 -> ciflow/inductor/144556 2025-07-17T07:01:09.3087091Z * [new tag] ciflow/inductor/147470 -> ciflow/inductor/147470 2025-07-17T07:01:09.3087794Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-07-17T07:01:09.3088461Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-07-17T07:01:09.3089165Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-07-17T07:01:09.3089889Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-07-17T07:01:09.3090972Z * [new tag] ciflow/inductor/148569 -> ciflow/inductor/148569 2025-07-17T07:01:09.3092008Z * [new tag] ciflow/inductor/149003 -> ciflow/inductor/149003 2025-07-17T07:01:09.3092951Z * [new tag] ciflow/inductor/149961 -> ciflow/inductor/149961 2025-07-17T07:01:09.3093561Z * [new tag] ciflow/inductor/150762 -> ciflow/inductor/150762 2025-07-17T07:01:09.3094580Z * [new tag] ciflow/inductor/151777 -> ciflow/inductor/151777 2025-07-17T07:01:09.3095403Z * [new tag] ciflow/inductor/151845 -> ciflow/inductor/151845 2025-07-17T07:01:09.3096021Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-07-17T07:01:09.3096751Z * [new tag] ciflow/inductor/154149 -> ciflow/inductor/154149 2025-07-17T07:01:09.3097472Z * [new tag] ciflow/inductor/154199 -> ciflow/inductor/154199 2025-07-17T07:01:09.3098194Z * [new tag] ciflow/inductor/154551 -> ciflow/inductor/154551 2025-07-17T07:01:09.3098921Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-07-17T07:01:09.3099679Z * [new tag] ciflow/inductor/155452 -> ciflow/inductor/155452 2025-07-17T07:01:09.3100451Z * [new tag] ciflow/inductor/155608 -> ciflow/inductor/155608 2025-07-17T07:01:09.3101169Z * [new tag] ciflow/inductor/155877 -> ciflow/inductor/155877 2025-07-17T07:01:09.3102184Z * [new tag] ciflow/inductor/155958 -> ciflow/inductor/155958 2025-07-17T07:01:09.3102711Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-07-17T07:01:09.3103479Z * [new tag] ciflow/inductor/156118 -> ciflow/inductor/156118 2025-07-17T07:01:09.3104187Z * [new tag] ciflow/inductor/156141 -> ciflow/inductor/156141 2025-07-17T07:01:09.3104934Z * [new tag] ciflow/inductor/156175 -> ciflow/inductor/156175 2025-07-17T07:01:09.3105679Z * [new tag] ciflow/inductor/156192 -> ciflow/inductor/156192 2025-07-17T07:01:09.3106494Z * [new tag] ciflow/inductor/156296 -> ciflow/inductor/156296 2025-07-17T07:01:09.3107236Z * [new tag] ciflow/inductor/156369 -> ciflow/inductor/156369 2025-07-17T07:01:09.3107974Z * [new tag] ciflow/inductor/156370 -> ciflow/inductor/156370 2025-07-17T07:01:09.3108703Z * [new tag] ciflow/inductor/156371 -> ciflow/inductor/156371 2025-07-17T07:01:09.3109399Z * [new tag] ciflow/inductor/156416 -> ciflow/inductor/156416 2025-07-17T07:01:09.3110109Z * [new tag] ciflow/inductor/156460 -> ciflow/inductor/156460 2025-07-17T07:01:09.3110870Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-07-17T07:01:09.3111563Z * [new tag] ciflow/inductor/156605 -> ciflow/inductor/156605 2025-07-17T07:01:09.3112287Z * [new tag] ciflow/inductor/156626 -> ciflow/inductor/156626 2025-07-17T07:01:09.3113005Z * [new tag] ciflow/inductor/156652 -> ciflow/inductor/156652 2025-07-17T07:01:09.3113779Z * [new tag] ciflow/inductor/156781 -> ciflow/inductor/156781 2025-07-17T07:01:09.3114458Z * [new tag] ciflow/inductor/156851 -> ciflow/inductor/156851 2025-07-17T07:01:09.3115709Z * [new tag] ciflow/inductor/156874 -> ciflow/inductor/156874 2025-07-17T07:01:09.3116462Z * [new tag] ciflow/inductor/156977 -> ciflow/inductor/156977 2025-07-17T07:01:09.3117146Z * [new tag] ciflow/inductor/156980 -> ciflow/inductor/156980 2025-07-17T07:01:09.3117896Z * [new tag] ciflow/inductor/157152 -> ciflow/inductor/157152 2025-07-17T07:01:09.3118619Z * [new tag] ciflow/inductor/157298 -> ciflow/inductor/157298 2025-07-17T07:01:09.3119320Z * [new tag] ciflow/inductor/157520 -> ciflow/inductor/157520 2025-07-17T07:01:09.3120047Z * [new tag] ciflow/inductor/157572 -> ciflow/inductor/157572 2025-07-17T07:01:09.3121152Z * [new tag] ciflow/inductor/157580 -> ciflow/inductor/157580 2025-07-17T07:01:09.3121585Z * [new tag] ciflow/inductor/157594 -> ciflow/inductor/157594 2025-07-17T07:01:09.3122640Z * [new tag] ciflow/inductor/157633 -> ciflow/inductor/157633 2025-07-17T07:01:09.3123167Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-07-17T07:01:09.3123940Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-07-17T07:01:09.3124697Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-07-17T07:01:09.3125461Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-07-17T07:01:09.3126188Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-07-17T07:01:09.3127566Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-07-17T07:01:09.3128430Z * [new tag] ciflow/inductor/157748 -> ciflow/inductor/157748 2025-07-17T07:01:09.3129153Z * [new tag] ciflow/inductor/157804 -> ciflow/inductor/157804 2025-07-17T07:01:09.3129929Z * [new tag] ciflow/inductor/157822 -> ciflow/inductor/157822 2025-07-17T07:01:09.3130916Z * [new tag] ciflow/inductor/157854 -> ciflow/inductor/157854 2025-07-17T07:01:09.3131845Z * [new tag] ciflow/inductor/157887 -> ciflow/inductor/157887 2025-07-17T07:01:09.3132661Z * [new tag] ciflow/inductor/157902 -> ciflow/inductor/157902 2025-07-17T07:01:09.3133365Z * [new tag] ciflow/inductor/157927 -> ciflow/inductor/157927 2025-07-17T07:01:09.3134116Z * [new tag] ciflow/inductor/157944 -> ciflow/inductor/157944 2025-07-17T07:01:09.3135149Z * [new tag] ciflow/inductor/157951 -> ciflow/inductor/157951 2025-07-17T07:01:09.3136226Z * [new tag] ciflow/inductor/157954 -> ciflow/inductor/157954 2025-07-17T07:01:09.3136946Z * [new tag] ciflow/inductor/157967 -> ciflow/inductor/157967 2025-07-17T07:01:09.3137696Z * [new tag] ciflow/inductor/157969 -> ciflow/inductor/157969 2025-07-17T07:01:09.3138437Z * [new tag] ciflow/inductor/157971 -> ciflow/inductor/157971 2025-07-17T07:01:09.3139152Z * [new tag] ciflow/inductor/157979 -> ciflow/inductor/157979 2025-07-17T07:01:09.3140359Z * [new tag] ciflow/inductor/157982 -> ciflow/inductor/157982 2025-07-17T07:01:09.3140986Z * [new tag] ciflow/inductor/157993 -> ciflow/inductor/157993 2025-07-17T07:01:09.3141784Z * [new tag] ciflow/inductor/158004 -> ciflow/inductor/158004 2025-07-17T07:01:09.3142581Z * [new tag] ciflow/inductor/158011 -> ciflow/inductor/158011 2025-07-17T07:01:09.3143311Z * [new tag] ciflow/inductor/158015 -> ciflow/inductor/158015 2025-07-17T07:01:09.3144062Z * [new tag] ciflow/inductor/158046 -> ciflow/inductor/158046 2025-07-17T07:01:09.3145049Z * [new tag] ciflow/inductor/158047 -> ciflow/inductor/158047 2025-07-17T07:01:09.3145677Z * [new tag] ciflow/inductor/158048 -> ciflow/inductor/158048 2025-07-17T07:01:09.3146405Z * [new tag] ciflow/inductor/158049 -> ciflow/inductor/158049 2025-07-17T07:01:09.3147153Z * [new tag] ciflow/inductor/158061 -> ciflow/inductor/158061 2025-07-17T07:01:09.3147881Z * [new tag] ciflow/inductor/158062 -> ciflow/inductor/158062 2025-07-17T07:01:09.3148685Z * [new tag] ciflow/inductor/158072 -> ciflow/inductor/158072 2025-07-17T07:01:09.3149809Z * [new tag] ciflow/inductor/158074 -> ciflow/inductor/158074 2025-07-17T07:01:09.3150475Z * [new tag] ciflow/inductor/158075 -> ciflow/inductor/158075 2025-07-17T07:01:09.3151222Z * [new tag] ciflow/inductor/158084 -> ciflow/inductor/158084 2025-07-17T07:01:09.3151935Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-07-17T07:01:09.3152753Z * [new tag] ciflow/inductor/158097 -> ciflow/inductor/158097 2025-07-17T07:01:09.3153414Z * [new tag] ciflow/inductor/158098 -> ciflow/inductor/158098 2025-07-17T07:01:09.3154127Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-07-17T07:01:09.3154922Z * [new tag] ciflow/inductor/158119 -> ciflow/inductor/158119 2025-07-17T07:01:09.3155655Z * [new tag] ciflow/inductor/158156 -> ciflow/inductor/158156 2025-07-17T07:01:09.3156422Z * [new tag] ciflow/inductor/158171 -> ciflow/inductor/158171 2025-07-17T07:01:09.3157604Z * [new tag] ciflow/inductor/158174 -> ciflow/inductor/158174 2025-07-17T07:01:09.3158253Z * [new tag] ciflow/inductor/158188 -> ciflow/inductor/158188 2025-07-17T07:01:09.3158994Z * [new tag] ciflow/inductor/158193 -> ciflow/inductor/158193 2025-07-17T07:01:09.3159728Z * [new tag] ciflow/inductor/158211 -> ciflow/inductor/158211 2025-07-17T07:01:09.3160461Z * [new tag] ciflow/inductor/158223 -> ciflow/inductor/158223 2025-07-17T07:01:09.3161192Z * [new tag] ciflow/inductor/158237 -> ciflow/inductor/158237 2025-07-17T07:01:09.3161955Z * [new tag] ciflow/inductor/158259 -> ciflow/inductor/158259 2025-07-17T07:01:09.3162944Z * [new tag] ciflow/inductor/158284 -> ciflow/inductor/158284 2025-07-17T07:01:09.3163752Z * [new tag] ciflow/inductor/158289 -> ciflow/inductor/158289 2025-07-17T07:01:09.3164507Z * [new tag] ciflow/inductor/158311 -> ciflow/inductor/158311 2025-07-17T07:01:09.3165343Z * [new tag] ciflow/inductor/158312 -> ciflow/inductor/158312 2025-07-17T07:01:09.3166117Z * [new tag] ciflow/inductor/158318 -> ciflow/inductor/158318 2025-07-17T07:01:09.3166834Z * [new tag] ciflow/inductor/158321 -> ciflow/inductor/158321 2025-07-17T07:01:09.3167898Z * [new tag] ciflow/inductor/158338 -> ciflow/inductor/158338 2025-07-17T07:01:09.3168514Z * [new tag] ciflow/inductor/158349 -> ciflow/inductor/158349 2025-07-17T07:01:09.3169292Z * [new tag] ciflow/inductor/158350 -> ciflow/inductor/158350 2025-07-17T07:01:09.3170269Z * [new tag] ciflow/inductor/158351 -> ciflow/inductor/158351 2025-07-17T07:01:09.3170995Z * [new tag] ciflow/inductor/158360 -> ciflow/inductor/158360 2025-07-17T07:01:09.3171806Z * [new tag] ciflow/inductor/158361 -> ciflow/inductor/158361 2025-07-17T07:01:09.3172531Z * [new tag] ciflow/inductor/158363 -> ciflow/inductor/158363 2025-07-17T07:01:09.3173274Z * [new tag] ciflow/inductor/158368 -> ciflow/inductor/158368 2025-07-17T07:01:09.3174015Z * [new tag] ciflow/inductor/158377 -> ciflow/inductor/158377 2025-07-17T07:01:09.3174725Z * [new tag] ciflow/inductor/158379 -> ciflow/inductor/158379 2025-07-17T07:01:09.3175485Z * [new tag] ciflow/inductor/158381 -> ciflow/inductor/158381 2025-07-17T07:01:09.3176191Z * [new tag] ciflow/inductor/158391 -> ciflow/inductor/158391 2025-07-17T07:01:09.3177232Z * [new tag] ciflow/inductor/158394 -> ciflow/inductor/158394 2025-07-17T07:01:09.3177970Z * [new tag] ciflow/inductor/158397 -> ciflow/inductor/158397 2025-07-17T07:01:09.3179249Z * [new tag] ciflow/inductor/158400 -> ciflow/inductor/158400 2025-07-17T07:01:09.3180066Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-07-17T07:01:09.3180819Z * [new tag] ciflow/inductor/158406 -> ciflow/inductor/158406 2025-07-17T07:01:09.3181536Z * [new tag] ciflow/inductor/158410 -> ciflow/inductor/158410 2025-07-17T07:01:09.3182452Z * [new tag] ciflow/inductor/158418 -> ciflow/inductor/158418 2025-07-17T07:01:09.3183163Z * [new tag] ciflow/inductor/158424 -> ciflow/inductor/158424 2025-07-17T07:01:09.3183902Z * [new tag] ciflow/inductor/158426 -> ciflow/inductor/158426 2025-07-17T07:01:09.3184624Z * [new tag] ciflow/inductor/158427 -> ciflow/inductor/158427 2025-07-17T07:01:09.3185646Z * [new tag] ciflow/inductor/158430 -> ciflow/inductor/158430 2025-07-17T07:01:09.3186590Z * [new tag] ciflow/inductor/158435 -> ciflow/inductor/158435 2025-07-17T07:01:09.3187311Z * [new tag] ciflow/inductor/158442 -> ciflow/inductor/158442 2025-07-17T07:01:09.3188034Z * [new tag] ciflow/inductor/158449 -> ciflow/inductor/158449 2025-07-17T07:01:09.3188753Z * [new tag] ciflow/inductor/158456 -> ciflow/inductor/158456 2025-07-17T07:01:09.3189516Z * [new tag] ciflow/inductor/158458 -> ciflow/inductor/158458 2025-07-17T07:01:09.3190231Z * [new tag] ciflow/inductor/158459 -> ciflow/inductor/158459 2025-07-17T07:01:09.3190979Z * [new tag] ciflow/inductor/158460 -> ciflow/inductor/158460 2025-07-17T07:01:09.3191716Z * [new tag] ciflow/inductor/158462 -> ciflow/inductor/158462 2025-07-17T07:01:09.3192477Z * [new tag] ciflow/inductor/158467 -> ciflow/inductor/158467 2025-07-17T07:01:09.3193440Z * [new tag] ciflow/inductor/158468 -> ciflow/inductor/158468 2025-07-17T07:01:09.3194107Z * [new tag] ciflow/inductor/158476 -> ciflow/inductor/158476 2025-07-17T07:01:09.3195135Z * [new tag] ciflow/inductor/158479 -> ciflow/inductor/158479 2025-07-17T07:01:09.3195824Z * [new tag] ciflow/inductor/158480 -> ciflow/inductor/158480 2025-07-17T07:01:09.3196533Z * [new tag] ciflow/inductor/158485 -> ciflow/inductor/158485 2025-07-17T07:01:09.3197274Z * [new tag] ciflow/inductor/158490 -> ciflow/inductor/158490 2025-07-17T07:01:09.3197969Z * [new tag] ciflow/inductor/158492 -> ciflow/inductor/158492 2025-07-17T07:01:09.3199018Z * [new tag] ciflow/inductor/158494 -> ciflow/inductor/158494 2025-07-17T07:01:09.3202392Z * [new tag] ciflow/inductor/158495 -> ciflow/inductor/158495 2025-07-17T07:01:09.3202744Z * [new tag] ciflow/inductor/158498 -> ciflow/inductor/158498 2025-07-17T07:01:09.3203133Z * [new tag] ciflow/inductor/158499 -> ciflow/inductor/158499 2025-07-17T07:01:09.3203507Z * [new tag] ciflow/inductor/158500 -> ciflow/inductor/158500 2025-07-17T07:01:09.3203886Z * [new tag] ciflow/inductor/158501 -> ciflow/inductor/158501 2025-07-17T07:01:09.3204259Z * [new tag] ciflow/inductor/158504 -> ciflow/inductor/158504 2025-07-17T07:01:09.3204636Z * [new tag] ciflow/inductor/158509 -> ciflow/inductor/158509 2025-07-17T07:01:09.3205029Z * [new tag] ciflow/inductor/158520 -> ciflow/inductor/158520 2025-07-17T07:01:09.3205982Z * [new tag] ciflow/inductor/158524 -> ciflow/inductor/158524 2025-07-17T07:01:09.3206861Z * [new tag] ciflow/inductor/158525 -> ciflow/inductor/158525 2025-07-17T07:01:09.3207709Z * [new tag] ciflow/inductor/158526 -> ciflow/inductor/158526 2025-07-17T07:01:09.3208481Z * [new tag] ciflow/inductor/158528 -> ciflow/inductor/158528 2025-07-17T07:01:09.3209362Z * [new tag] ciflow/inductor/158534 -> ciflow/inductor/158534 2025-07-17T07:01:09.3210339Z * [new tag] ciflow/inductor/158535 -> ciflow/inductor/158535 2025-07-17T07:01:09.3211397Z * [new tag] ciflow/inductor/158537 -> ciflow/inductor/158537 2025-07-17T07:01:09.3211960Z * [new tag] ciflow/inductor/158538 -> ciflow/inductor/158538 2025-07-17T07:01:09.3212894Z * [new tag] ciflow/inductor/158543 -> ciflow/inductor/158543 2025-07-17T07:01:09.3214000Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-07-17T07:01:09.3215006Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-07-17T07:01:09.3215990Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-07-17T07:01:09.3217128Z * [new tag] ciflow/linux-aarch64/157520 -> ciflow/linux-aarch64/157520 2025-07-17T07:01:09.3217914Z * [new tag] ciflow/linux-aarch64/157782 -> ciflow/linux-aarch64/157782 2025-07-17T07:01:09.3218817Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-07-17T07:01:09.3219960Z * [new tag] ciflow/linux-aarch64/158445 -> ciflow/linux-aarch64/158445 2025-07-17T07:01:09.3220967Z * [new tag] ciflow/mps/155200 -> ciflow/mps/155200 2025-07-17T07:01:09.3221691Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-07-17T07:01:09.3222516Z * [new tag] ciflow/mps/157875 -> ciflow/mps/157875 2025-07-17T07:01:09.3223313Z * [new tag] ciflow/mps/157876 -> ciflow/mps/157876 2025-07-17T07:01:09.3224050Z * [new tag] ciflow/mps/158237 -> ciflow/mps/158237 2025-07-17T07:01:09.3224856Z * [new tag] ciflow/mps/158349 -> ciflow/mps/158349 2025-07-17T07:01:09.3225584Z * [new tag] ciflow/mps/158350 -> ciflow/mps/158350 2025-07-17T07:01:09.3226372Z * [new tag] ciflow/mps/158351 -> ciflow/mps/158351 2025-07-17T07:01:09.3227603Z * [new tag] ciflow/periodic-rocm-mi300/156192 -> ciflow/periodic-rocm-mi300/156192 2025-07-17T07:01:09.3228360Z * [new tag] ciflow/periodic-rocm-mi300/157191 -> ciflow/periodic-rocm-mi300/157191 2025-07-17T07:01:09.3229131Z * [new tag] ciflow/periodic-rocm-mi300/158102 -> ciflow/periodic-rocm-mi300/158102 2025-07-17T07:01:09.3229894Z * [new tag] ciflow/periodic-rocm-mi300/158103 -> ciflow/periodic-rocm-mi300/158103 2025-07-17T07:01:09.3230999Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-07-17T07:01:09.3231718Z * [new tag] ciflow/periodic/143959 -> ciflow/periodic/143959 2025-07-17T07:01:09.3232721Z * [new tag] ciflow/periodic/156559 -> ciflow/periodic/156559 2025-07-17T07:01:09.3233606Z * [new tag] ciflow/periodic/156900 -> ciflow/periodic/156900 2025-07-17T07:01:09.3234335Z * [new tag] ciflow/periodic/157748 -> ciflow/periodic/157748 2025-07-17T07:01:09.3235294Z * [new tag] ciflow/periodic/157939 -> ciflow/periodic/157939 2025-07-17T07:01:09.3236075Z * [new tag] ciflow/periodic/158145 -> ciflow/periodic/158145 2025-07-17T07:01:09.3237107Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-07-17T07:01:09.3238018Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-07-17T07:01:09.3238921Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-07-17T07:01:09.3239923Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-07-17T07:01:09.3241457Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-07-17T07:01:09.3242789Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-07-17T07:01:09.3244073Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-07-17T07:01:09.3245093Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-07-17T07:01:09.3246107Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-07-17T07:01:09.3247246Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-07-17T07:01:09.3248344Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-07-17T07:01:09.3249237Z * [new tag] ciflow/rocm-mi300/156192 -> ciflow/rocm-mi300/156192 2025-07-17T07:01:09.3250045Z * [new tag] ciflow/rocm-mi300/157191 -> ciflow/rocm-mi300/157191 2025-07-17T07:01:09.3250854Z * [new tag] ciflow/rocm-mi300/157520 -> ciflow/rocm-mi300/157520 2025-07-17T07:01:09.3251658Z * [new tag] ciflow/rocm-mi300/158102 -> ciflow/rocm-mi300/158102 2025-07-17T07:01:09.3252382Z * [new tag] ciflow/rocm-mi300/158103 -> ciflow/rocm-mi300/158103 2025-07-17T07:01:09.3253313Z * [new tag] ciflow/rocm-mi300/158221 -> ciflow/rocm-mi300/158221 2025-07-17T07:01:09.3254053Z * [new tag] ciflow/rocm-mi300/158459 -> ciflow/rocm-mi300/158459 2025-07-17T07:01:09.3255015Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-07-17T07:01:09.3255698Z * [new tag] ciflow/rocm/149601 -> ciflow/rocm/149601 2025-07-17T07:01:09.3256494Z * [new tag] ciflow/rocm/150312 -> ciflow/rocm/150312 2025-07-17T07:01:09.3257265Z * [new tag] ciflow/rocm/151845 -> ciflow/rocm/151845 2025-07-17T07:01:09.3258017Z * [new tag] ciflow/rocm/155200 -> ciflow/rocm/155200 2025-07-17T07:01:09.3258787Z * [new tag] ciflow/rocm/155877 -> ciflow/rocm/155877 2025-07-17T07:01:09.3259702Z * [new tag] ciflow/rocm/156165 -> ciflow/rocm/156165 2025-07-17T07:01:09.3260522Z * [new tag] ciflow/rocm/156192 -> ciflow/rocm/156192 2025-07-17T07:01:09.3261258Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-07-17T07:01:09.3262023Z * [new tag] ciflow/rocm/157520 -> ciflow/rocm/157520 2025-07-17T07:01:09.3262913Z * [new tag] ciflow/rocm/157964 -> ciflow/rocm/157964 2025-07-17T07:01:09.3264003Z * [new tag] ciflow/rocm/158037 -> ciflow/rocm/158037 2025-07-17T07:01:09.3265052Z * [new tag] ciflow/rocm/158074 -> ciflow/rocm/158074 2025-07-17T07:01:09.3266024Z * [new tag] ciflow/rocm/158219 -> ciflow/rocm/158219 2025-07-17T07:01:09.3266853Z * [new tag] ciflow/rocm/158220 -> ciflow/rocm/158220 2025-07-17T07:01:09.3267618Z * [new tag] ciflow/rocm/158224 -> ciflow/rocm/158224 2025-07-17T07:01:09.3268593Z * [new tag] ciflow/rocm/158271 -> ciflow/rocm/158271 2025-07-17T07:01:09.3269406Z * [new tag] ciflow/rocm/158408 -> ciflow/rocm/158408 2025-07-17T07:01:09.3270458Z * [new tag] ciflow/rocm/158459 -> ciflow/rocm/158459 2025-07-17T07:01:09.3271539Z * [new tag] ciflow/s390/143959 -> ciflow/s390/143959 2025-07-17T07:01:09.3272429Z * [new tag] ciflow/s390/151447 -> ciflow/s390/151447 2025-07-17T07:01:09.3273737Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-07-17T07:01:09.3274566Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-07-17T07:01:09.3276179Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-07-17T07:01:09.3276510Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-07-17T07:01:09.3277432Z * [new tag] ciflow/slow/157385 -> ciflow/slow/157385 2025-07-17T07:01:09.3278430Z * [new tag] ciflow/slow/157748 -> ciflow/slow/157748 2025-07-17T07:01:09.3279003Z * [new tag] ciflow/slow/158222 -> ciflow/slow/158222 2025-07-17T07:01:09.3279755Z * [new tag] ciflow/slow/158312 -> ciflow/slow/158312 2025-07-17T07:01:09.3280793Z * [new tag] ciflow/slow/158424 -> ciflow/slow/158424 2025-07-17T07:01:09.3282215Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-07-17T07:01:09.3283484Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-07-17T07:01:09.3284342Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-07-17T07:01:09.3285467Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-07-17T07:01:09.3286400Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-07-17T07:01:09.3287385Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-07-17T07:01:09.3288273Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-07-17T07:01:09.3289348Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-07-17T07:01:09.3291625Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-07-17T07:01:09.3292102Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-07-17T07:01:09.3292898Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-07-17T07:01:09.3293880Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-07-17T07:01:09.3294848Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-07-17T07:01:09.3295855Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-07-17T07:01:09.3297687Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-07-17T07:01:09.3298144Z * [new tag] ciflow/triton_binaries/158408 -> ciflow/triton_binaries/158408 2025-07-17T07:01:09.3299017Z * [new tag] ciflow/triton_binaries/158459 -> ciflow/triton_binaries/158459 2025-07-17T07:01:09.3299954Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-07-17T07:01:09.3300860Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-07-17T07:01:09.3301639Z * [new tag] ciflow/trunk/139971 -> ciflow/trunk/139971 2025-07-17T07:01:09.3302380Z * [new tag] ciflow/trunk/143712 -> ciflow/trunk/143712 2025-07-17T07:01:09.3303182Z * [new tag] ciflow/trunk/144557 -> ciflow/trunk/144557 2025-07-17T07:01:09.3303916Z * [new tag] ciflow/trunk/147470 -> ciflow/trunk/147470 2025-07-17T07:01:09.3304670Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-07-17T07:01:09.3305414Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-07-17T07:01:09.3306202Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-07-17T07:01:09.3306966Z * [new tag] ciflow/trunk/149003 -> ciflow/trunk/149003 2025-07-17T07:01:09.3307696Z * [new tag] ciflow/trunk/149601 -> ciflow/trunk/149601 2025-07-17T07:01:09.3308900Z * [new tag] ciflow/trunk/149961 -> ciflow/trunk/149961 2025-07-17T07:01:09.3309932Z * [new tag] ciflow/trunk/150312 -> ciflow/trunk/150312 2025-07-17T07:01:09.3310899Z * [new tag] ciflow/trunk/150691 -> ciflow/trunk/150691 2025-07-17T07:01:09.3311751Z * [new tag] ciflow/trunk/150762 -> ciflow/trunk/150762 2025-07-17T07:01:09.3312663Z * [new tag] ciflow/trunk/151777 -> ciflow/trunk/151777 2025-07-17T07:01:09.3313349Z * [new tag] ciflow/trunk/151845 -> ciflow/trunk/151845 2025-07-17T07:01:09.3314121Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-07-17T07:01:09.3315064Z * [new tag] ciflow/trunk/153666 -> ciflow/trunk/153666 2025-07-17T07:01:09.3315874Z * [new tag] ciflow/trunk/154149 -> ciflow/trunk/154149 2025-07-17T07:01:09.3316696Z * [new tag] ciflow/trunk/154199 -> ciflow/trunk/154199 2025-07-17T07:01:09.3317454Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-07-17T07:01:09.3318280Z * [new tag] ciflow/trunk/154983 -> ciflow/trunk/154983 2025-07-17T07:01:09.3319110Z * [new tag] ciflow/trunk/155489 -> ciflow/trunk/155489 2025-07-17T07:01:09.3319937Z * [new tag] ciflow/trunk/155958 -> ciflow/trunk/155958 2025-07-17T07:01:09.3320716Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-07-17T07:01:09.3321652Z * [new tag] ciflow/trunk/156097 -> ciflow/trunk/156097 2025-07-17T07:01:09.3322458Z * [new tag] ciflow/trunk/156141 -> ciflow/trunk/156141 2025-07-17T07:01:09.3323298Z * [new tag] ciflow/trunk/156165 -> ciflow/trunk/156165 2025-07-17T07:01:09.3324077Z * [new tag] ciflow/trunk/156175 -> ciflow/trunk/156175 2025-07-17T07:01:09.3324889Z * [new tag] ciflow/trunk/156192 -> ciflow/trunk/156192 2025-07-17T07:01:09.3325675Z * [new tag] ciflow/trunk/156296 -> ciflow/trunk/156296 2025-07-17T07:01:09.3326527Z * [new tag] ciflow/trunk/156370 -> ciflow/trunk/156370 2025-07-17T07:01:09.3327482Z * [new tag] ciflow/trunk/156559 -> ciflow/trunk/156559 2025-07-17T07:01:09.3328286Z * [new tag] ciflow/trunk/156605 -> ciflow/trunk/156605 2025-07-17T07:01:09.3329089Z * [new tag] ciflow/trunk/156626 -> ciflow/trunk/156626 2025-07-17T07:01:09.3331087Z * [new tag] ciflow/trunk/156666 -> ciflow/trunk/156666 2025-07-17T07:01:09.3331916Z * [new tag] ciflow/trunk/156753 -> ciflow/trunk/156753 2025-07-17T07:01:09.3332720Z * [new tag] ciflow/trunk/156781 -> ciflow/trunk/156781 2025-07-17T07:01:09.3333502Z * [new tag] ciflow/trunk/156874 -> ciflow/trunk/156874 2025-07-17T07:01:09.3334333Z * [new tag] ciflow/trunk/157199 -> ciflow/trunk/157199 2025-07-17T07:01:09.3335085Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-07-17T07:01:09.3335919Z * [new tag] ciflow/trunk/157520 -> ciflow/trunk/157520 2025-07-17T07:01:09.3336705Z * [new tag] ciflow/trunk/157550 -> ciflow/trunk/157550 2025-07-17T07:01:09.3337560Z * [new tag] ciflow/trunk/157552 -> ciflow/trunk/157552 2025-07-17T07:01:09.3338343Z * [new tag] ciflow/trunk/157580 -> ciflow/trunk/157580 2025-07-17T07:01:09.3339117Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-07-17T07:01:09.3340018Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-07-17T07:01:09.3340889Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-07-17T07:01:09.3341619Z * [new tag] ciflow/trunk/157748 -> ciflow/trunk/157748 2025-07-17T07:01:09.3342442Z * [new tag] ciflow/trunk/157791 -> ciflow/trunk/157791 2025-07-17T07:01:09.3343248Z * [new tag] ciflow/trunk/157804 -> ciflow/trunk/157804 2025-07-17T07:01:09.3344231Z * [new tag] ciflow/trunk/157887 -> ciflow/trunk/157887 2025-07-17T07:01:09.3344852Z * [new tag] ciflow/trunk/157908 -> ciflow/trunk/157908 2025-07-17T07:01:09.3345694Z * [new tag] ciflow/trunk/157910 -> ciflow/trunk/157910 2025-07-17T07:01:09.3346594Z * [new tag] ciflow/trunk/157935 -> ciflow/trunk/157935 2025-07-17T07:01:09.3347601Z * [new tag] ciflow/trunk/157963 -> ciflow/trunk/157963 2025-07-17T07:01:09.3348363Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-07-17T07:01:09.3349191Z * [new tag] ciflow/trunk/158015 -> ciflow/trunk/158015 2025-07-17T07:01:09.3349993Z * [new tag] ciflow/trunk/158037 -> ciflow/trunk/158037 2025-07-17T07:01:09.3350801Z * [new tag] ciflow/trunk/158062 -> ciflow/trunk/158062 2025-07-17T07:01:09.3352194Z * [new tag] ciflow/trunk/158072 -> ciflow/trunk/158072 2025-07-17T07:01:09.3352928Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-07-17T07:01:09.3353798Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-07-17T07:01:09.3354599Z * [new tag] ciflow/trunk/158119 -> ciflow/trunk/158119 2025-07-17T07:01:09.3355522Z * [new tag] ciflow/trunk/158148 -> ciflow/trunk/158148 2025-07-17T07:01:09.3356488Z * [new tag] ciflow/trunk/158185 -> ciflow/trunk/158185 2025-07-17T07:01:09.3357463Z * [new tag] ciflow/trunk/158203 -> ciflow/trunk/158203 2025-07-17T07:01:09.3358335Z * [new tag] ciflow/trunk/158219 -> ciflow/trunk/158219 2025-07-17T07:01:09.3359092Z * [new tag] ciflow/trunk/158220 -> ciflow/trunk/158220 2025-07-17T07:01:09.3359920Z * [new tag] ciflow/trunk/158222 -> ciflow/trunk/158222 2025-07-17T07:01:09.3360710Z * [new tag] ciflow/trunk/158223 -> ciflow/trunk/158223 2025-07-17T07:01:09.3361521Z * [new tag] ciflow/trunk/158224 -> ciflow/trunk/158224 2025-07-17T07:01:09.3362536Z * [new tag] ciflow/trunk/158229 -> ciflow/trunk/158229 2025-07-17T07:01:09.3363349Z * [new tag] ciflow/trunk/158249 -> ciflow/trunk/158249 2025-07-17T07:01:09.3399203Z * [new tag] ciflow/trunk/158259 -> ciflow/trunk/158259 2025-07-17T07:01:09.3400086Z * [new tag] ciflow/trunk/158289 -> ciflow/trunk/158289 2025-07-17T07:01:09.3400408Z * [new tag] ciflow/trunk/158312 -> ciflow/trunk/158312 2025-07-17T07:01:09.3400733Z * [new tag] ciflow/trunk/158323 -> ciflow/trunk/158323 2025-07-17T07:01:09.3400957Z * [new tag] ciflow/trunk/158356 -> ciflow/trunk/158356 2025-07-17T07:01:09.3401170Z * [new tag] ciflow/trunk/158363 -> ciflow/trunk/158363 2025-07-17T07:01:09.3401473Z * [new tag] ciflow/trunk/158368 -> ciflow/trunk/158368 2025-07-17T07:01:09.3401790Z * [new tag] ciflow/trunk/158373 -> ciflow/trunk/158373 2025-07-17T07:01:09.3402050Z * [new tag] ciflow/trunk/158377 -> ciflow/trunk/158377 2025-07-17T07:01:09.3402210Z * [new tag] ciflow/trunk/158380 -> ciflow/trunk/158380 2025-07-17T07:01:09.3402379Z * [new tag] ciflow/trunk/158400 -> ciflow/trunk/158400 2025-07-17T07:01:09.3402541Z * [new tag] ciflow/trunk/158418 -> ciflow/trunk/158418 2025-07-17T07:01:09.3402700Z * [new tag] ciflow/trunk/158424 -> ciflow/trunk/158424 2025-07-17T07:01:09.3402894Z * [new tag] ciflow/trunk/158430 -> ciflow/trunk/158430 2025-07-17T07:01:09.3403054Z * [new tag] ciflow/trunk/158442 -> ciflow/trunk/158442 2025-07-17T07:01:09.3403379Z * [new tag] ciflow/trunk/158458 -> ciflow/trunk/158458 2025-07-17T07:01:09.3403545Z * [new tag] ciflow/trunk/158459 -> ciflow/trunk/158459 2025-07-17T07:01:09.3403719Z * [new tag] ciflow/trunk/158473 -> ciflow/trunk/158473 2025-07-17T07:01:09.3403882Z * [new tag] ciflow/trunk/158479 -> ciflow/trunk/158479 2025-07-17T07:01:09.3404046Z * [new tag] ciflow/trunk/158485 -> ciflow/trunk/158485 2025-07-17T07:01:09.3404205Z * [new tag] ciflow/trunk/158492 -> ciflow/trunk/158492 2025-07-17T07:01:09.3404368Z * [new tag] ciflow/trunk/158524 -> ciflow/trunk/158524 2025-07-17T07:01:09.3404534Z * [new tag] ciflow/trunk/158532 -> ciflow/trunk/158532 2025-07-17T07:01:09.3404709Z * [new tag] ciflow/trunk/158543 -> ciflow/trunk/158543 2025-07-17T07:01:09.3404885Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-07-17T07:01:09.3405072Z * [new tag] ciflow/win-arm64/157935 -> ciflow/win-arm64/157935 2025-07-17T07:01:09.3405256Z * [new tag] ciflow/xpu/139971 -> ciflow/xpu/139971 2025-07-17T07:01:09.3405423Z * [new tag] ciflow/xpu/150218 -> ciflow/xpu/150218 2025-07-17T07:01:09.3405591Z * [new tag] ciflow/xpu/155200 -> ciflow/xpu/155200 2025-07-17T07:01:09.3405765Z * [new tag] ciflow/xpu/156812 -> ciflow/xpu/156812 2025-07-17T07:01:09.3405925Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-07-17T07:01:09.3406102Z * [new tag] ciflow/xpu/157954 -> ciflow/xpu/157954 2025-07-17T07:01:09.3406264Z * [new tag] ciflow/xpu/158336 -> ciflow/xpu/158336 2025-07-17T07:01:09.3406424Z * [new tag] ciflow/xpu/158337 -> ciflow/xpu/158337 2025-07-17T07:01:09.3406599Z * [new tag] ciflow/xpu/158340 -> ciflow/xpu/158340 2025-07-17T07:01:09.3406760Z * [new tag] ciflow/xpu/158533 -> ciflow/xpu/158533 2025-07-17T07:01:09.3406933Z * [new tag] ciflow/xpu/158542 -> ciflow/xpu/158542 2025-07-17T07:01:09.3407080Z * [new tag] cslpull75 -> cslpull75 2025-07-17T07:01:09.3407308Z * [new tag] cslpull76 -> cslpull76 2025-07-17T07:01:09.3407464Z * [new tag] cslpull77 -> cslpull77 2025-07-17T07:01:09.3407606Z * [new tag] cslpull78 -> cslpull78 2025-07-17T07:01:09.3407748Z * [new tag] cslpull79 -> cslpull79 2025-07-17T07:01:09.3407903Z * [new tag] cslpull80 -> cslpull80 2025-07-17T07:01:09.3408045Z * [new tag] cslpull81 -> cslpull81 2025-07-17T07:01:09.3408202Z * [new tag] cslpull82 -> cslpull82 2025-07-17T07:01:09.3408346Z * [new tag] cslpull83 -> cslpull83 2025-07-17T07:01:09.3408497Z * [new tag] cslpull84 -> cslpull84 2025-07-17T07:01:09.3408653Z * [new tag] cslpull85 -> cslpull85 2025-07-17T07:01:09.3408798Z * [new tag] cslpull86 -> cslpull86 2025-07-17T07:01:09.3408953Z * [new tag] cslpull87 -> cslpull87 2025-07-17T07:01:09.3409095Z * [new tag] cslpull88 -> cslpull88 2025-07-17T07:01:09.3409238Z * [new tag] cslpull89 -> cslpull89 2025-07-17T07:01:09.3409396Z * [new tag] cslpull90 -> cslpull90 2025-07-17T07:01:09.3410355Z * [new tag] cslpull91 -> cslpull91 2025-07-17T07:01:09.3411403Z * [new tag] cslpull92 -> cslpull92 2025-07-17T07:01:09.3412293Z * [new tag] flight_5 -> flight_5 2025-07-17T07:01:09.3413344Z * [new tag] flight_5.1 -> flight_5.1 2025-07-17T07:01:09.3414386Z * [new tag] flight_5.2 -> flight_5.2 2025-07-17T07:01:09.3415290Z * [new tag] flight_5.3 -> flight_5.3 2025-07-17T07:01:09.3416220Z * [new tag] forpull1 -> forpull1 2025-07-17T07:01:09.3417415Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-07-17T07:01:09.3418435Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-07-17T07:01:09.3419425Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-07-17T07:01:09.3420582Z * [new tag] nightly-binary -> nightly-binary 2025-07-17T07:01:09.3421358Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-07-17T07:01:09.3422526Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-07-17T07:01:09.3424011Z * [new tag] trunk/0083032e7559dc8f02483ba60373adfcdaf9dae6 -> trunk/0083032e7559dc8f02483ba60373adfcdaf9dae6 2025-07-17T07:01:09.3424993Z * [new tag] trunk/008345be9d0c32f67459bcf3e6705be43d496f74 -> trunk/008345be9d0c32f67459bcf3e6705be43d496f74 2025-07-17T07:01:09.3426390Z * [new tag] trunk/00ae620b9f72cc751672c2fd92a04fc86704a87a -> trunk/00ae620b9f72cc751672c2fd92a04fc86704a87a 2025-07-17T07:01:09.3427753Z * [new tag] trunk/0105cd89ab508ec56126c1de85c8f5b5acc446b5 -> trunk/0105cd89ab508ec56126c1de85c8f5b5acc446b5 2025-07-17T07:01:09.3428636Z * [new tag] trunk/011026205a9d4c38458130f8ca242028f6184bf0 -> trunk/011026205a9d4c38458130f8ca242028f6184bf0 2025-07-17T07:01:09.3429593Z * [new tag] trunk/013cf1e3302d27de36588cf7a7130d76a5686bad -> trunk/013cf1e3302d27de36588cf7a7130d76a5686bad 2025-07-17T07:01:09.3430487Z * [new tag] trunk/013dfeabb405274546f19637c04f8a5f75923316 -> trunk/013dfeabb405274546f19637c04f8a5f75923316 2025-07-17T07:01:09.3431637Z * [new tag] trunk/018e9826a2ed09cfcf7424e0b3215bef5ad6499e -> trunk/018e9826a2ed09cfcf7424e0b3215bef5ad6499e 2025-07-17T07:01:09.3432486Z * [new tag] trunk/019e30e3b80d091d64253df4cdd149713e3e910e -> trunk/019e30e3b80d091d64253df4cdd149713e3e910e 2025-07-17T07:01:09.3433432Z * [new tag] trunk/01b0f09931d47bd2716398a0c335b2807dc3074d -> trunk/01b0f09931d47bd2716398a0c335b2807dc3074d 2025-07-17T07:01:09.3434384Z * [new tag] trunk/01b8f5e685fdb34aa50b73a84a55fc285e6b904a -> trunk/01b8f5e685fdb34aa50b73a84a55fc285e6b904a 2025-07-17T07:01:09.3435529Z * [new tag] trunk/02080c2cd94b37ad92e3d8803bc773f6abd2ae2f -> trunk/02080c2cd94b37ad92e3d8803bc773f6abd2ae2f 2025-07-17T07:01:09.3436377Z * [new tag] trunk/020da744370f6ee23e377357e9acc330b5610a67 -> trunk/020da744370f6ee23e377357e9acc330b5610a67 2025-07-17T07:01:09.3437540Z * [new tag] trunk/023887fc5af5a7273d7eb0388fdf1f0e87eafb28 -> trunk/023887fc5af5a7273d7eb0388fdf1f0e87eafb28 2025-07-17T07:01:09.3438385Z * [new tag] trunk/02608e560a1d7b669ad450a89542f7e9ba068658 -> trunk/02608e560a1d7b669ad450a89542f7e9ba068658 2025-07-17T07:01:09.3439521Z * [new tag] trunk/02715d0876bc66f46b9c7b4f277bedf8e251cc82 -> trunk/02715d0876bc66f46b9c7b4f277bedf8e251cc82 2025-07-17T07:01:09.3440951Z * [new tag] trunk/02724b5f649b93ef7960962bdde7a667c0893d21 -> trunk/02724b5f649b93ef7960962bdde7a667c0893d21 2025-07-17T07:01:09.3441876Z * [new tag] trunk/029e2b05c225588098d3eba445fd04189691f77d -> trunk/029e2b05c225588098d3eba445fd04189691f77d 2025-07-17T07:01:09.3442886Z * [new tag] trunk/02a9d9095f397f56fe64ef07ced8e7ffed6dcba1 -> trunk/02a9d9095f397f56fe64ef07ced8e7ffed6dcba1 2025-07-17T07:01:09.3443770Z * [new tag] trunk/02c7ab2f9baac05bd199392b70bc016d55f99b13 -> trunk/02c7ab2f9baac05bd199392b70bc016d55f99b13 2025-07-17T07:01:09.3444579Z * [new tag] trunk/03023f178c611249d41c62369ba95fe54316fe90 -> trunk/03023f178c611249d41c62369ba95fe54316fe90 2025-07-17T07:01:09.3445527Z * [new tag] trunk/03488d820c292b8ec4bfd9a4e25d5f28068c9375 -> trunk/03488d820c292b8ec4bfd9a4e25d5f28068c9375 2025-07-17T07:01:09.3446496Z * [new tag] trunk/034a7f6437bec853a938dbc19b549b9319b67f69 -> trunk/034a7f6437bec853a938dbc19b549b9319b67f69 2025-07-17T07:01:09.3447322Z * [new tag] trunk/0364db7cd14ffa67b48ef8c27fefbb3eed2b065d -> trunk/0364db7cd14ffa67b48ef8c27fefbb3eed2b065d 2025-07-17T07:01:09.3448280Z * [new tag] trunk/03852ddc22350eb8b6ed6b61777639ce6080f3dc -> trunk/03852ddc22350eb8b6ed6b61777639ce6080f3dc 2025-07-17T07:01:09.3449266Z * [new tag] trunk/039a1ce0ebbeb0adacbf9537c4085d977dba150a -> trunk/039a1ce0ebbeb0adacbf9537c4085d977dba150a 2025-07-17T07:01:09.3450191Z * [new tag] trunk/03b307575a98dc1d953c9d3521a9489e0e61e70c -> trunk/03b307575a98dc1d953c9d3521a9489e0e61e70c 2025-07-17T07:01:09.3451184Z * [new tag] trunk/04178d347c6baec5613f8063a2c77cf6f9657ee2 -> trunk/04178d347c6baec5613f8063a2c77cf6f9657ee2 2025-07-17T07:01:09.3452329Z * [new tag] trunk/04349f9ee541c7d07cc057bbe739f46bd4c30dcc -> trunk/04349f9ee541c7d07cc057bbe739f46bd4c30dcc 2025-07-17T07:01:09.3453299Z * [new tag] trunk/049dc48d1edf49c26d493fdb271fe5e5adc9c985 -> trunk/049dc48d1edf49c26d493fdb271fe5e5adc9c985 2025-07-17T07:01:09.3454389Z * [new tag] trunk/04b91a9e43518fcd34a474a832bac05d4583fcc3 -> trunk/04b91a9e43518fcd34a474a832bac05d4583fcc3 2025-07-17T07:01:09.3455309Z * [new tag] trunk/04bd7e6850e8efec77994963ffee87549555b9c3 -> trunk/04bd7e6850e8efec77994963ffee87549555b9c3 2025-07-17T07:01:09.3456462Z * [new tag] trunk/04cf2c9d24b7d9e7f7cdd4cf98c8bd0908c38110 -> trunk/04cf2c9d24b7d9e7f7cdd4cf98c8bd0908c38110 2025-07-17T07:01:09.3457323Z * [new tag] trunk/0504480f37714a289b2ba32c9cf32a5e50e86d38 -> trunk/0504480f37714a289b2ba32c9cf32a5e50e86d38 2025-07-17T07:01:09.3458287Z * [new tag] trunk/054cd4ca28d17507df46054fe355c697f6a07ce8 -> trunk/054cd4ca28d17507df46054fe355c697f6a07ce8 2025-07-17T07:01:09.3459571Z * [new tag] trunk/058fb1790f2c474cd4ecb5ec625eef896c554544 -> trunk/058fb1790f2c474cd4ecb5ec625eef896c554544 2025-07-17T07:01:09.3460485Z * [new tag] trunk/0596323c35d245099a4f4d3172b0efa20a639c84 -> trunk/0596323c35d245099a4f4d3172b0efa20a639c84 2025-07-17T07:01:09.3461445Z * [new tag] trunk/05d7288e316ae5c9c661c4529f9f130a46263e5b -> trunk/05d7288e316ae5c9c661c4529f9f130a46263e5b 2025-07-17T07:01:09.3462625Z * [new tag] trunk/05dd638ee98b36254c84095894c36fd0e7d95544 -> trunk/05dd638ee98b36254c84095894c36fd0e7d95544 2025-07-17T07:01:09.3463553Z * [new tag] trunk/05dfd312cfbfdecc6cb1e7d1d0bb4ee18370ae7e -> trunk/05dfd312cfbfdecc6cb1e7d1d0bb4ee18370ae7e 2025-07-17T07:01:09.3464343Z * [new tag] trunk/05faba40287cf7d8734da96cb2e904f39710bf29 -> trunk/05faba40287cf7d8734da96cb2e904f39710bf29 2025-07-17T07:01:09.3466600Z * [new tag] trunk/060838c2312ad207c7afe2c86f8a484afea5f328 -> trunk/060838c2312ad207c7afe2c86f8a484afea5f328 2025-07-17T07:01:09.3467454Z * [new tag] trunk/0629dfb860b00a10550d91dd395968f663f45fdd -> trunk/0629dfb860b00a10550d91dd395968f663f45fdd 2025-07-17T07:01:09.3468584Z * [new tag] trunk/06408dae49d06b6146fdd9d7a37eb5dde4f5e78d -> trunk/06408dae49d06b6146fdd9d7a37eb5dde4f5e78d 2025-07-17T07:01:09.3469914Z * [new tag] trunk/0640cfa38c1426a41ab4a0b3e3dab7c730cdc2ad -> trunk/0640cfa38c1426a41ab4a0b3e3dab7c730cdc2ad 2025-07-17T07:01:09.3470964Z * [new tag] trunk/064288cbab94c9931ca2296a2b9723e864f9050a -> trunk/064288cbab94c9931ca2296a2b9723e864f9050a 2025-07-17T07:01:09.3471821Z * [new tag] trunk/064a7db7fc3b06eb8e14d6c7d767f87fcf396ab6 -> trunk/064a7db7fc3b06eb8e14d6c7d767f87fcf396ab6 2025-07-17T07:01:09.3473037Z * [new tag] trunk/067fd0b3abd28f1b7dae883ffec5bc7459d35970 -> trunk/067fd0b3abd28f1b7dae883ffec5bc7459d35970 2025-07-17T07:01:09.3473941Z * [new tag] trunk/06930706a195144cd6172a5f2eb505cec56e9ec3 -> trunk/06930706a195144cd6172a5f2eb505cec56e9ec3 2025-07-17T07:01:09.3475049Z * [new tag] trunk/06a40b685056f60c4fbdc10d09a85b9fc3fca34f -> trunk/06a40b685056f60c4fbdc10d09a85b9fc3fca34f 2025-07-17T07:01:09.3475965Z * [new tag] trunk/06a67a8948dac9d02f22b3e2591a43b60981cdb4 -> trunk/06a67a8948dac9d02f22b3e2591a43b60981cdb4 2025-07-17T07:01:09.3476950Z * [new tag] trunk/06b3265cb1a27ea3090dc1fc86a6ce17518f989c -> trunk/06b3265cb1a27ea3090dc1fc86a6ce17518f989c 2025-07-17T07:01:09.3477923Z * [new tag] trunk/06f39a71b6cd14e0844b5eb1e0e085f7ae78d221 -> trunk/06f39a71b6cd14e0844b5eb1e0e085f7ae78d221 2025-07-17T07:01:09.3478754Z * [new tag] trunk/070aa59e491aa6987459cd1941ef647f2ad13858 -> trunk/070aa59e491aa6987459cd1941ef647f2ad13858 2025-07-17T07:01:09.3479693Z * [new tag] trunk/070e580d301efd626e327d1f88e0921b476d0f30 -> trunk/070e580d301efd626e327d1f88e0921b476d0f30 2025-07-17T07:01:09.3480698Z * [new tag] trunk/0756ebcd4890b19072e586fb2cbd2b25a80f91f4 -> trunk/0756ebcd4890b19072e586fb2cbd2b25a80f91f4 2025-07-17T07:01:09.3481576Z * [new tag] trunk/0797b2b6a80cf70a7accc3d5413186e7693d4451 -> trunk/0797b2b6a80cf70a7accc3d5413186e7693d4451 2025-07-17T07:01:09.3482556Z * [new tag] trunk/07bb097698223fe42d54b019638dd026c75f09a9 -> trunk/07bb097698223fe42d54b019638dd026c75f09a9 2025-07-17T07:01:09.3483506Z * [new tag] trunk/07da8a469bdd69966e1f832e3d09d991798f854c -> trunk/07da8a469bdd69966e1f832e3d09d991798f854c 2025-07-17T07:01:09.3484667Z * [new tag] trunk/07e340e29ccbe18ef59e8f60ec3f03ccc44e5e9c -> trunk/07e340e29ccbe18ef59e8f60ec3f03ccc44e5e9c 2025-07-17T07:01:09.3485835Z * [new tag] trunk/07eb374e7eefaa84a997d0adaaeecb4706d60e74 -> trunk/07eb374e7eefaa84a997d0adaaeecb4706d60e74 2025-07-17T07:01:09.3486756Z * [new tag] trunk/08274640028f68418d8f889d01af577b90ac2ec1 -> trunk/08274640028f68418d8f889d01af577b90ac2ec1 2025-07-17T07:01:09.3487849Z * [new tag] trunk/085f270a00b4452bbb005d6b3d448e9d0b9d6fa0 -> trunk/085f270a00b4452bbb005d6b3d448e9d0b9d6fa0 2025-07-17T07:01:09.3488763Z * [new tag] trunk/0860606729d16b9855157404da9b0d4654f3c626 -> trunk/0860606729d16b9855157404da9b0d4654f3c626 2025-07-17T07:01:09.3489595Z * [new tag] trunk/08799217aeb17128d89d675ce5b537761286417a -> trunk/08799217aeb17128d89d675ce5b537761286417a 2025-07-17T07:01:09.3490563Z * [new tag] trunk/08d15d3ec15b9b3fce81713cde20901806ecef42 -> trunk/08d15d3ec15b9b3fce81713cde20901806ecef42 2025-07-17T07:01:09.3491378Z * [new tag] trunk/08dae945ae380d80efbaf140a95abfc5d96e5100 -> trunk/08dae945ae380d80efbaf140a95abfc5d96e5100 2025-07-17T07:01:09.3492984Z * [new tag] trunk/08e9dd280f497fc820e35c458c843dc44f0282c6 -> trunk/08e9dd280f497fc820e35c458c843dc44f0282c6 2025-07-17T07:01:09.3493887Z * [new tag] trunk/092aed1b18c31042d7772a6f9ec1959df4bf5c3c -> trunk/092aed1b18c31042d7772a6f9ec1959df4bf5c3c 2025-07-17T07:01:09.3494866Z * [new tag] trunk/09328eb02f5412d2211b5fd638ce82d0e03b9c1f -> trunk/09328eb02f5412d2211b5fd638ce82d0e03b9c1f 2025-07-17T07:01:09.3495932Z * [new tag] trunk/0935a97d959918727700ae2c1ebeadc5b12a2b6c -> trunk/0935a97d959918727700ae2c1ebeadc5b12a2b6c 2025-07-17T07:01:09.3496756Z * [new tag] trunk/093aaccae254355b3637ef8760e762a3f9c3783c -> trunk/093aaccae254355b3637ef8760e762a3f9c3783c 2025-07-17T07:01:09.3497613Z * [new tag] trunk/093fd47dbef4f08691210de6c08cf269f28e4de5 -> trunk/093fd47dbef4f08691210de6c08cf269f28e4de5 2025-07-17T07:01:09.3498544Z * [new tag] trunk/099d0d6121125062ebc05771c8330cb7cd8d053a -> trunk/099d0d6121125062ebc05771c8330cb7cd8d053a 2025-07-17T07:01:09.3499735Z * [new tag] trunk/09db3a22e8783c4841697317688ba9467c7cc457 -> trunk/09db3a22e8783c4841697317688ba9467c7cc457 2025-07-17T07:01:09.3500697Z * [new tag] trunk/09ffba3cf79eeedf48a0fb39a26dcc0294872480 -> trunk/09ffba3cf79eeedf48a0fb39a26dcc0294872480 2025-07-17T07:01:09.3501781Z * [new tag] trunk/0a0023d9840570938a10472418eaac85098ec41b -> trunk/0a0023d9840570938a10472418eaac85098ec41b 2025-07-17T07:01:09.3502702Z * [new tag] trunk/0a092c7de67767eed3adb7abc0d49dfd3d26d0cd -> trunk/0a092c7de67767eed3adb7abc0d49dfd3d26d0cd 2025-07-17T07:01:09.3503893Z * [new tag] trunk/0a16818d5b3fdf0fb8148dd6b849687251a56376 -> trunk/0a16818d5b3fdf0fb8148dd6b849687251a56376 2025-07-17T07:01:09.3504842Z * [new tag] trunk/0a2ec7681d2af973d8daaf7905431a088739dc90 -> trunk/0a2ec7681d2af973d8daaf7905431a088739dc90 2025-07-17T07:01:09.3505919Z * [new tag] trunk/0a624c2dc5675e35917976467a8c533baf2a98a0 -> trunk/0a624c2dc5675e35917976467a8c533baf2a98a0 2025-07-17T07:01:09.3506827Z * [new tag] trunk/0a63053fe90405cc6ee5e42fa007e32ed1e2cbac -> trunk/0a63053fe90405cc6ee5e42fa007e32ed1e2cbac 2025-07-17T07:01:09.3507653Z * [new tag] trunk/0a6b66c881cba3f6a6c1a3cb8ddf698846d99822 -> trunk/0a6b66c881cba3f6a6c1a3cb8ddf698846d99822 2025-07-17T07:01:09.3508858Z * [new tag] trunk/0a99b026d6bd0f67dc2c0a20fe3228ddc4144854 -> trunk/0a99b026d6bd0f67dc2c0a20fe3228ddc4144854 2025-07-17T07:01:09.3509718Z * [new tag] trunk/0a9d450168ce58b2bb7f2cedc27a61012123564f -> trunk/0a9d450168ce58b2bb7f2cedc27a61012123564f 2025-07-17T07:01:09.3510643Z * [new tag] trunk/0ab075a69e4577a60c4dcbff7bcc2ecd0a15ce46 -> trunk/0ab075a69e4577a60c4dcbff7bcc2ecd0a15ce46 2025-07-17T07:01:09.3511623Z * [new tag] trunk/0ad88a2224e9f0a2ed4f405e827a745945d505ce -> trunk/0ad88a2224e9f0a2ed4f405e827a745945d505ce 2025-07-17T07:01:09.3512744Z * [new tag] trunk/0aed855b2bde6d9bd045bb20cc24544a9f2fb72b -> trunk/0aed855b2bde6d9bd045bb20cc24544a9f2fb72b 2025-07-17T07:01:09.3513587Z * [new tag] trunk/0b19d463d963a0b2ee5558d2c0bb79b2cbff6e64 -> trunk/0b19d463d963a0b2ee5558d2c0bb79b2cbff6e64 2025-07-17T07:01:09.3514760Z * [new tag] trunk/0b62465b99b23cb4afcd07424676cce34a676041 -> trunk/0b62465b99b23cb4afcd07424676cce34a676041 2025-07-17T07:01:09.3515590Z * [new tag] trunk/0b677560e686d828f9f5ed1cb87b1d7a54ee2781 -> trunk/0b677560e686d828f9f5ed1cb87b1d7a54ee2781 2025-07-17T07:01:09.3516588Z * [new tag] trunk/0b6c0898e6c352c8ea93daec854e704b41485375 -> trunk/0b6c0898e6c352c8ea93daec854e704b41485375 2025-07-17T07:01:09.3517459Z * [new tag] trunk/0bb733ba230051301b3fb3fa49d1d6662744b395 -> trunk/0bb733ba230051301b3fb3fa49d1d6662744b395 2025-07-17T07:01:09.3518446Z * [new tag] trunk/0bce39026917d10995ff47352c3da9fff0ec31ff -> trunk/0bce39026917d10995ff47352c3da9fff0ec31ff 2025-07-17T07:01:09.3519752Z * [new tag] trunk/0c58bdd8fb5f269aef100af8e2c43cfcf5f1f9dd -> trunk/0c58bdd8fb5f269aef100af8e2c43cfcf5f1f9dd 2025-07-17T07:01:09.3520700Z * [new tag] trunk/0ca2a79f5b80c1ec8be95e6f7de4182dd90f3502 -> trunk/0ca2a79f5b80c1ec8be95e6f7de4182dd90f3502 2025-07-17T07:01:09.3521659Z * [new tag] trunk/0cb36e2d62c811fcddea4c6d28b1c65246cdd160 -> trunk/0cb36e2d62c811fcddea4c6d28b1c65246cdd160 2025-07-17T07:01:09.3522590Z * [new tag] trunk/0cb85c188f3665c23766cda25c8169f1a436d36b -> trunk/0cb85c188f3665c23766cda25c8169f1a436d36b 2025-07-17T07:01:09.3523617Z * [new tag] trunk/0d01bafc34fc99a0b3e46cbf1ecfd8f97563efa6 -> trunk/0d01bafc34fc99a0b3e46cbf1ecfd8f97563efa6 2025-07-17T07:01:09.3524344Z * [new tag] trunk/0d17029fea3d96bb88b19912946648b47f8e003d -> trunk/0d17029fea3d96bb88b19912946648b47f8e003d 2025-07-17T07:01:09.3525438Z * [new tag] trunk/0d3d84d866040fad1b21a618c44802951a3cb15e -> trunk/0d3d84d866040fad1b21a618c44802951a3cb15e 2025-07-17T07:01:09.3526411Z * [new tag] trunk/0d77364ee3ff6435aa93df3b0303db66b5fc3254 -> trunk/0d77364ee3ff6435aa93df3b0303db66b5fc3254 2025-07-17T07:01:09.3527379Z * [new tag] trunk/0d8c029584b61da059b6225537764eadd2fa1223 -> trunk/0d8c029584b61da059b6225537764eadd2fa1223 2025-07-17T07:01:09.3528304Z * [new tag] trunk/0d8e4e2327137b370d91bd23931cd7691a95cc33 -> trunk/0d8e4e2327137b370d91bd23931cd7691a95cc33 2025-07-17T07:01:09.3529296Z * [new tag] trunk/0db3e0cf29604dae1007a678603e4dffd1c57562 -> trunk/0db3e0cf29604dae1007a678603e4dffd1c57562 2025-07-17T07:01:09.3530225Z * [new tag] trunk/0decd966af9cdcb7ab4410cf475d2fc09f2dea0c -> trunk/0decd966af9cdcb7ab4410cf475d2fc09f2dea0c 2025-07-17T07:01:09.3531200Z * [new tag] trunk/0e2013a12da944930012265bd1b75d0a19af4d7c -> trunk/0e2013a12da944930012265bd1b75d0a19af4d7c 2025-07-17T07:01:09.3532183Z * [new tag] trunk/0e47312ae5a687f0aed61db753d03180118cddc4 -> trunk/0e47312ae5a687f0aed61db753d03180118cddc4 2025-07-17T07:01:09.3533138Z * [new tag] trunk/0e9d8032a3431505c8a6a341375af9cb27afd537 -> trunk/0e9d8032a3431505c8a6a341375af9cb27afd537 2025-07-17T07:01:09.3534073Z * [new tag] trunk/0edc1b91f708c7635cf0f286f43724665934dc89 -> trunk/0edc1b91f708c7635cf0f286f43724665934dc89 2025-07-17T07:01:09.3535047Z * [new tag] trunk/0f0c01071476145fca7d70c68d029a88aeefe72c -> trunk/0f0c01071476145fca7d70c68d029a88aeefe72c 2025-07-17T07:01:09.3536039Z * [new tag] trunk/0f21fa84fb605c61482e4218df89f8bb1ef70c14 -> trunk/0f21fa84fb605c61482e4218df89f8bb1ef70c14 2025-07-17T07:01:09.3536996Z * [new tag] trunk/0f31445139d7ffaeeae95a230c536ef97970af5c -> trunk/0f31445139d7ffaeeae95a230c536ef97970af5c 2025-07-17T07:01:09.3537830Z * [new tag] trunk/0f47e76937f092263dd579e71d45e3193fbbc5df -> trunk/0f47e76937f092263dd579e71d45e3193fbbc5df 2025-07-17T07:01:09.3538671Z * [new tag] trunk/0f9c1b374fbb6f3b999855b26ebb869387b33dfb -> trunk/0f9c1b374fbb6f3b999855b26ebb869387b33dfb 2025-07-17T07:01:09.3539708Z * [new tag] trunk/0fa361e4295bbd8ac8b1f1ea74852535326f08f2 -> trunk/0fa361e4295bbd8ac8b1f1ea74852535326f08f2 2025-07-17T07:01:09.3540858Z * [new tag] trunk/0fd711df19a6523c9de6c820640ae53e32de14c6 -> trunk/0fd711df19a6523c9de6c820640ae53e32de14c6 2025-07-17T07:01:09.3541723Z * [new tag] trunk/1036f6d114bc22a9b4cf620cf7f8364ea2fd7a60 -> trunk/1036f6d114bc22a9b4cf620cf7f8364ea2fd7a60 2025-07-17T07:01:09.3542969Z * [new tag] trunk/104493487852f0cc232547ecbf7bebf5c7fe5982 -> trunk/104493487852f0cc232547ecbf7bebf5c7fe5982 2025-07-17T07:01:09.3543706Z * [new tag] trunk/1051b93192710d2e4bdf5fecd8e66c61731b55e1 -> trunk/1051b93192710d2e4bdf5fecd8e66c61731b55e1 2025-07-17T07:01:09.3544888Z * [new tag] trunk/10cd1de5183e4fcd6e316be497904b9c86d4db67 -> trunk/10cd1de5183e4fcd6e316be497904b9c86d4db67 2025-07-17T07:01:09.3545829Z * [new tag] trunk/10cef1e25d39c1ff1ac93036302ce1b008cd4469 -> trunk/10cef1e25d39c1ff1ac93036302ce1b008cd4469 2025-07-17T07:01:09.3546819Z * [new tag] trunk/10d41c7d20747829a4ee5b994bf466071e4c7e32 -> trunk/10d41c7d20747829a4ee5b994bf466071e4c7e32 2025-07-17T07:01:09.3547972Z * [new tag] trunk/10fb98a004e129ea2a2074cc05e5173c056f728c -> trunk/10fb98a004e129ea2a2074cc05e5173c056f728c 2025-07-17T07:01:09.3548801Z * [new tag] trunk/110ae0f4333b289b1ee798ab93447e6ede16300f -> trunk/110ae0f4333b289b1ee798ab93447e6ede16300f 2025-07-17T07:01:09.3549895Z * [new tag] trunk/1155c53e7d8c25dabc618d7f7b324ee97c89f40e -> trunk/1155c53e7d8c25dabc618d7f7b324ee97c89f40e 2025-07-17T07:01:09.3550844Z * [new tag] trunk/117db5601d78cbc746b35eef71fc815e042e903f -> trunk/117db5601d78cbc746b35eef71fc815e042e903f 2025-07-17T07:01:09.3551754Z * [new tag] trunk/11a86ad2fa3be5cf91a7a2b99c4df44017bc92c7 -> trunk/11a86ad2fa3be5cf91a7a2b99c4df44017bc92c7 2025-07-17T07:01:09.3552703Z * [new tag] trunk/11bb1ece50ade57b963afe29b27cab6a0a56ff7d -> trunk/11bb1ece50ade57b963afe29b27cab6a0a56ff7d 2025-07-17T07:01:09.3553671Z * [new tag] trunk/11bc29856d8180571146209cea987ac9397ab444 -> trunk/11bc29856d8180571146209cea987ac9397ab444 2025-07-17T07:01:09.3554799Z * [new tag] trunk/11d6ad8b2e7359e2f654474f31692ba1aec67980 -> trunk/11d6ad8b2e7359e2f654474f31692ba1aec67980 2025-07-17T07:01:09.3556343Z * [new tag] trunk/11f7e2f1459b09b1ece26ea785b6be77daa36923 -> trunk/11f7e2f1459b09b1ece26ea785b6be77daa36923 2025-07-17T07:01:09.3557247Z * [new tag] trunk/12151c96d9202875638ea2c695d5647c38368c46 -> trunk/12151c96d9202875638ea2c695d5647c38368c46 2025-07-17T07:01:09.3558211Z * [new tag] trunk/127695eb5c973f9fdba24c47b465e30a19292582 -> trunk/127695eb5c973f9fdba24c47b465e30a19292582 2025-07-17T07:01:09.3559738Z * [new tag] trunk/12b02137af5cd6743adfe5a0ffe0d9b453cd013e -> trunk/12b02137af5cd6743adfe5a0ffe0d9b453cd013e 2025-07-17T07:01:09.3560604Z * [new tag] trunk/12cb06e574738a15a59ee9384493682fb5bc6d2b -> trunk/12cb06e574738a15a59ee9384493682fb5bc6d2b 2025-07-17T07:01:09.3561744Z * [new tag] trunk/12f9942b107acc9d7acf9591818c826ef972a0f5 -> trunk/12f9942b107acc9d7acf9591818c826ef972a0f5 2025-07-17T07:01:09.3562663Z * [new tag] trunk/130d4973bd036e539e995dd0bc20080c2570b6da -> trunk/130d4973bd036e539e995dd0bc20080c2570b6da 2025-07-17T07:01:09.3563855Z * [new tag] trunk/132babe7e0b668d31e6efdf339687d48b2ccedc7 -> trunk/132babe7e0b668d31e6efdf339687d48b2ccedc7 2025-07-17T07:01:09.3564698Z * [new tag] trunk/1339e88105cf72586d728d4f7e0d71b81e08d933 -> trunk/1339e88105cf72586d728d4f7e0d71b81e08d933 2025-07-17T07:01:09.3565866Z * [new tag] trunk/134dfb3fe64323d7c615e866c43ea346ad987556 -> trunk/134dfb3fe64323d7c615e866c43ea346ad987556 2025-07-17T07:01:09.3566742Z * [new tag] trunk/1393f71e0714d067ed5ec1f57f135431d20619bc -> trunk/1393f71e0714d067ed5ec1f57f135431d20619bc 2025-07-17T07:01:09.3568062Z * [new tag] trunk/13bf2655c1404aff64e05e50dd7b0ce4c8dc0fcf -> trunk/13bf2655c1404aff64e05e50dd7b0ce4c8dc0fcf 2025-07-17T07:01:09.3569296Z * [new tag] trunk/13ea0f2c0a06101d9aab9ce12c30043be7c92d38 -> trunk/13ea0f2c0a06101d9aab9ce12c30043be7c92d38 2025-07-17T07:01:09.3571875Z * [new tag] trunk/13efb2c858c41141776ad42f7c44f1709948de71 -> trunk/13efb2c858c41141776ad42f7c44f1709948de71 2025-07-17T07:01:09.3572274Z * [new tag] trunk/144965ca9af478515736665b0577cded22fa692e -> trunk/144965ca9af478515736665b0577cded22fa692e 2025-07-17T07:01:09.3573173Z * [new tag] trunk/14ecc0336185f2ca5591858bc74cd4aadf2d1161 -> trunk/14ecc0336185f2ca5591858bc74cd4aadf2d1161 2025-07-17T07:01:09.3574476Z * [new tag] trunk/14f3639e09d692e53c9b9714776e3ca48fed7c4c -> trunk/14f3639e09d692e53c9b9714776e3ca48fed7c4c 2025-07-17T07:01:09.3575362Z * [new tag] trunk/154a39bfbd6e0cc6b7e6f3bce708ab0157ce1c50 -> trunk/154a39bfbd6e0cc6b7e6f3bce708ab0157ce1c50 2025-07-17T07:01:09.3576341Z * [new tag] trunk/156a377f4cf9b5b5255575e26d27f745c111a6ae -> trunk/156a377f4cf9b5b5255575e26d27f745c111a6ae 2025-07-17T07:01:09.3577284Z * [new tag] trunk/156b28e62a225214a5685088a848c5efe6a4b95e -> trunk/156b28e62a225214a5685088a848c5efe6a4b95e 2025-07-17T07:01:09.3578352Z * [new tag] trunk/156bc243f0edbf79d4a24d5affb48198551b58dd -> trunk/156bc243f0edbf79d4a24d5affb48198551b58dd 2025-07-17T07:01:09.3579182Z * [new tag] trunk/157683d8623a683a7e05755176f86a41c7bf518a -> trunk/157683d8623a683a7e05755176f86a41c7bf518a 2025-07-17T07:01:09.3580322Z * [new tag] trunk/1586521461c8dc642735466fc143b7d366a858d0 -> trunk/1586521461c8dc642735466fc143b7d366a858d0 2025-07-17T07:01:09.3581218Z * [new tag] trunk/159a39ad344cca84347e7b3be653ec13834cefdc -> trunk/159a39ad344cca84347e7b3be653ec13834cefdc 2025-07-17T07:01:09.3582162Z * [new tag] trunk/162ca185ff06fc7440e9f52d249e0b465976449a -> trunk/162ca185ff06fc7440e9f52d249e0b465976449a 2025-07-17T07:01:09.3583076Z * [new tag] trunk/163f0d8f2ab0a602a16f606db6d873298088e3a7 -> trunk/163f0d8f2ab0a602a16f606db6d873298088e3a7 2025-07-17T07:01:09.3584303Z * [new tag] trunk/16c3b4143b6fdabbee45ea5a64bb922a5969145a -> trunk/16c3b4143b6fdabbee45ea5a64bb922a5969145a 2025-07-17T07:01:09.3585120Z * [new tag] trunk/172853547ac842bb5ed8bf6e07702c76ff2cf043 -> trunk/172853547ac842bb5ed8bf6e07702c76ff2cf043 2025-07-17T07:01:09.3585958Z * [new tag] trunk/178fe7aa98987111a73534375099f4ad255e8b59 -> trunk/178fe7aa98987111a73534375099f4ad255e8b59 2025-07-17T07:01:09.3586879Z * [new tag] trunk/179dcc10e4e0c742fb7d93b832021d0c177798bf -> trunk/179dcc10e4e0c742fb7d93b832021d0c177798bf 2025-07-17T07:01:09.3587867Z * [new tag] trunk/17b38b850e5362c2f5d7cd75e6552e3d149232f2 -> trunk/17b38b850e5362c2f5d7cd75e6552e3d149232f2 2025-07-17T07:01:09.3588755Z * [new tag] trunk/17eb649d5596c52bae65a069e03b4550155ad57f -> trunk/17eb649d5596c52bae65a069e03b4550155ad57f 2025-07-17T07:01:09.3589707Z * [new tag] trunk/1839e8d04b81ee6eda0cff6fbfc218a7a600f6f7 -> trunk/1839e8d04b81ee6eda0cff6fbfc218a7a600f6f7 2025-07-17T07:01:09.3590789Z * [new tag] trunk/1851f50866a11e7ddede5d07c583e2c5407e7708 -> trunk/1851f50866a11e7ddede5d07c583e2c5407e7708 2025-07-17T07:01:09.3591666Z * [new tag] trunk/187828dcb4145cdfda916ff670207bfb17abdef8 -> trunk/187828dcb4145cdfda916ff670207bfb17abdef8 2025-07-17T07:01:09.3592629Z * [new tag] trunk/18b01afa9ed1dbc696a06de1b69bf5c021c18c10 -> trunk/18b01afa9ed1dbc696a06de1b69bf5c021c18c10 2025-07-17T07:01:09.3593549Z * [new tag] trunk/18bf6addc4741852953ac0b8d555411c347e67aa -> trunk/18bf6addc4741852953ac0b8d555411c347e67aa 2025-07-17T07:01:09.3594481Z * [new tag] trunk/18e4c461fb4e2bbdef889c3b1a2cdb29c0fb31cd -> trunk/18e4c461fb4e2bbdef889c3b1a2cdb29c0fb31cd 2025-07-17T07:01:09.3595393Z * [new tag] trunk/190f76fa313410df8dbb4111c586a516bf55515c -> trunk/190f76fa313410df8dbb4111c586a516bf55515c 2025-07-17T07:01:09.3596297Z * [new tag] trunk/1913c915e0d2b08e7af00889dc50e78d0a9b9198 -> trunk/1913c915e0d2b08e7af00889dc50e78d0a9b9198 2025-07-17T07:01:09.3597206Z * [new tag] trunk/191693ac854de1bb5fcf4280b7a93ab29cc12b5c -> trunk/191693ac854de1bb5fcf4280b7a93ab29cc12b5c 2025-07-17T07:01:09.3598168Z * [new tag] trunk/194539e9c33dc793fe67fbb68c7cee12f399e276 -> trunk/194539e9c33dc793fe67fbb68c7cee12f399e276 2025-07-17T07:01:09.3599148Z * [new tag] trunk/194c221e0abc9daf178e14ca2608c5d6804a3eb7 -> trunk/194c221e0abc9daf178e14ca2608c5d6804a3eb7 2025-07-17T07:01:09.3600073Z * [new tag] trunk/195ef1bce8f17419139fb81406b91f476eba7257 -> trunk/195ef1bce8f17419139fb81406b91f476eba7257 2025-07-17T07:01:09.3601246Z * [new tag] trunk/19625daf889f0a6192a76e200205817e3ee27f26 -> trunk/19625daf889f0a6192a76e200205817e3ee27f26 2025-07-17T07:01:09.3602384Z * [new tag] trunk/196c95d463367f15999c0cddc9eb89031e9988ab -> trunk/196c95d463367f15999c0cddc9eb89031e9988ab 2025-07-17T07:01:09.3603268Z * [new tag] trunk/197c1869f5467b4cfa1e197bbe394be82ba40554 -> trunk/197c1869f5467b4cfa1e197bbe394be82ba40554 2025-07-17T07:01:09.3604094Z * [new tag] trunk/1982ec2d22c5145e4ffeec08064c5ca17e969c25 -> trunk/1982ec2d22c5145e4ffeec08064c5ca17e969c25 2025-07-17T07:01:09.3605007Z * [new tag] trunk/19a01382bc623cf30cdfa7215e47a6b69d8598ff -> trunk/19a01382bc623cf30cdfa7215e47a6b69d8598ff 2025-07-17T07:01:09.3605817Z * [new tag] trunk/19ae5afdaa3a59135e6adbaea197b7a2456f1865 -> trunk/19ae5afdaa3a59135e6adbaea197b7a2456f1865 2025-07-17T07:01:09.3606572Z * [new tag] trunk/19f851ce10b16f0ed11d18d937ca7b32746153b0 -> trunk/19f851ce10b16f0ed11d18d937ca7b32746153b0 2025-07-17T07:01:09.3607441Z * [new tag] trunk/19ffb5e6f7606436249742b0f3efc0bab244dc55 -> trunk/19ffb5e6f7606436249742b0f3efc0bab244dc55 2025-07-17T07:01:09.3608825Z * [new tag] trunk/19ffdf4ea053bc5befe7eaa737fd1fafaaeb34a2 -> trunk/19ffdf4ea053bc5befe7eaa737fd1fafaaeb34a2 2025-07-17T07:01:09.3609708Z * [new tag] trunk/1a195bf7d6155b027f7ca81a97d71a3af34ce11e -> trunk/1a195bf7d6155b027f7ca81a97d71a3af34ce11e 2025-07-17T07:01:09.3610611Z * [new tag] trunk/1a568f4e5d1c0e2e8994d64f01e1e8a3104a1a48 -> trunk/1a568f4e5d1c0e2e8994d64f01e1e8a3104a1a48 2025-07-17T07:01:09.3611962Z * [new tag] trunk/1b032384b186154bb140c7368e2e700cb1419b86 -> trunk/1b032384b186154bb140c7368e2e700cb1419b86 2025-07-17T07:01:09.3613088Z * [new tag] trunk/1b389025ba0cc640e07991314bfba8b6ca385bd2 -> trunk/1b389025ba0cc640e07991314bfba8b6ca385bd2 2025-07-17T07:01:09.3613944Z * [new tag] trunk/1b3d69b59f92383633731aada8383ab88da3ed60 -> trunk/1b3d69b59f92383633731aada8383ab88da3ed60 2025-07-17T07:01:09.3614867Z * [new tag] trunk/1b50c12584909bda00009f4f0fd0d38ec792d019 -> trunk/1b50c12584909bda00009f4f0fd0d38ec792d019 2025-07-17T07:01:09.3616015Z * [new tag] trunk/1b58e7adab91fe20bbfb1568403d72869317e75c -> trunk/1b58e7adab91fe20bbfb1568403d72869317e75c 2025-07-17T07:01:09.3616815Z * [new tag] trunk/1b6772a90f5c334cab7b9d055a7f819ce4c3478c -> trunk/1b6772a90f5c334cab7b9d055a7f819ce4c3478c 2025-07-17T07:01:09.3617778Z * [new tag] trunk/1bb9b1858b84ee07ff1bc33157d4ea7a980bb6b5 -> trunk/1bb9b1858b84ee07ff1bc33157d4ea7a980bb6b5 2025-07-17T07:01:09.3618722Z * [new tag] trunk/1c6057fd179b0373686a790b0a0b7fc68fe7f27d -> trunk/1c6057fd179b0373686a790b0a0b7fc68fe7f27d 2025-07-17T07:01:09.3619872Z * [new tag] trunk/1c8844d9e7b2d72fb80b67ed51df4f6a1295b3b5 -> trunk/1c8844d9e7b2d72fb80b67ed51df4f6a1295b3b5 2025-07-17T07:01:09.3621559Z * [new tag] trunk/1c960c5638b6f20f7a1cbe1e9036c14a4845a195 -> trunk/1c960c5638b6f20f7a1cbe1e9036c14a4845a195 2025-07-17T07:01:09.3622416Z * [new tag] trunk/1cb0597a890bc50b8ed3937d6bdf5a734691bd91 -> trunk/1cb0597a890bc50b8ed3937d6bdf5a734691bd91 2025-07-17T07:01:09.3623250Z * [new tag] trunk/1cc62c2cb91e56ae50494f88f369cd6ec466a118 -> trunk/1cc62c2cb91e56ae50494f88f369cd6ec466a118 2025-07-17T07:01:09.3624163Z * [new tag] trunk/1ccc57e4288e231210c9b2c29943b2752259bf44 -> trunk/1ccc57e4288e231210c9b2c29943b2752259bf44 2025-07-17T07:01:09.3625113Z * [new tag] trunk/1cce73b5f4806f266fbbcf3383057af5f2e3a0aa -> trunk/1cce73b5f4806f266fbbcf3383057af5f2e3a0aa 2025-07-17T07:01:09.3625965Z * [new tag] trunk/1cfdcb975a3b0c685c34c6ae0e378b9bc92e0050 -> trunk/1cfdcb975a3b0c685c34c6ae0e378b9bc92e0050 2025-07-17T07:01:09.3626880Z * [new tag] trunk/1d0f45d5d15389b83312b6942ac2017c8d7ebedc -> trunk/1d0f45d5d15389b83312b6942ac2017c8d7ebedc 2025-07-17T07:01:09.3627859Z * [new tag] trunk/1d584761622ff6e5519c5e3dbbb62a21b89ffe8a -> trunk/1d584761622ff6e5519c5e3dbbb62a21b89ffe8a 2025-07-17T07:01:09.3628843Z * [new tag] trunk/1d993fa3092e4f0b5745f2470024b35cac96da14 -> trunk/1d993fa3092e4f0b5745f2470024b35cac96da14 2025-07-17T07:01:09.3629703Z * [new tag] trunk/1dc1eedd4369f6e6bb79d5315e3ffc1bdc59b709 -> trunk/1dc1eedd4369f6e6bb79d5315e3ffc1bdc59b709 2025-07-17T07:01:09.3630649Z * [new tag] trunk/1dd0b1d12ba48d7879a57391cab6213742dcadb6 -> trunk/1dd0b1d12ba48d7879a57391cab6213742dcadb6 2025-07-17T07:01:09.3631588Z * [new tag] trunk/1e373d02d57ff65c70febc4ec427bf6d1708483e -> trunk/1e373d02d57ff65c70febc4ec427bf6d1708483e 2025-07-17T07:01:09.3632808Z * [new tag] trunk/1e474cc9c8ddab22ed314ad8be641002b0161498 -> trunk/1e474cc9c8ddab22ed314ad8be641002b0161498 2025-07-17T07:01:09.3633676Z * [new tag] trunk/1e4c5b666afe6434cbe3b830aaf70864074d40f5 -> trunk/1e4c5b666afe6434cbe3b830aaf70864074d40f5 2025-07-17T07:01:09.3634504Z * [new tag] trunk/1e4d8b5a4a67220473bf0027c58baaa08a036714 -> trunk/1e4d8b5a4a67220473bf0027c58baaa08a036714 2025-07-17T07:01:09.3635462Z * [new tag] trunk/1e690b6c41677bf1fe3147e3fc011eb9805365f5 -> trunk/1e690b6c41677bf1fe3147e3fc011eb9805365f5 2025-07-17T07:01:09.3636367Z * [new tag] trunk/1e6a653234c299ccecf702233a1eeb7455b1ce77 -> trunk/1e6a653234c299ccecf702233a1eeb7455b1ce77 2025-07-17T07:01:09.3637183Z * [new tag] trunk/1e7e21ec5dd6ea28b27c57fe92bcf31ea5983913 -> trunk/1e7e21ec5dd6ea28b27c57fe92bcf31ea5983913 2025-07-17T07:01:09.3637953Z * [new tag] trunk/1e8e9f745e43fa38bbfc7b67b30bc66c0e7ebbd6 -> trunk/1e8e9f745e43fa38bbfc7b67b30bc66c0e7ebbd6 2025-07-17T07:01:09.3638922Z * [new tag] trunk/1ea9cde598ead20194dbb6c5cb26e74e36e6ad55 -> trunk/1ea9cde598ead20194dbb6c5cb26e74e36e6ad55 2025-07-17T07:01:09.3639812Z * [new tag] trunk/1ed243f01c8efb329055c6124ba0aa5f48747cfe -> trunk/1ed243f01c8efb329055c6124ba0aa5f48747cfe 2025-07-17T07:01:09.3640775Z * [new tag] trunk/1eea2c4fe35ffbdcbfccbeb7ac6c3ec02137385d -> trunk/1eea2c4fe35ffbdcbfccbeb7ac6c3ec02137385d 2025-07-17T07:01:09.3641743Z * [new tag] trunk/1f0eb79e3e91f09f99b53aa4d331eb47a1f66101 -> trunk/1f0eb79e3e91f09f99b53aa4d331eb47a1f66101 2025-07-17T07:01:09.3642663Z * [new tag] trunk/1f1f22991dcca01ed27fad44c21f0827d47bdd6b -> trunk/1f1f22991dcca01ed27fad44c21f0827d47bdd6b 2025-07-17T07:01:09.3643594Z * [new tag] trunk/1f3cc4875cb9d9b579a41b6699f97820c16c3868 -> trunk/1f3cc4875cb9d9b579a41b6699f97820c16c3868 2025-07-17T07:01:09.3644402Z * [new tag] trunk/1f57e0e04da9d334e238cec346f7ae3667bed9d1 -> trunk/1f57e0e04da9d334e238cec346f7ae3667bed9d1 2025-07-17T07:01:09.3645507Z * [new tag] trunk/1fff6356d9f99ec2980052c498dc0b70d513bc6d -> trunk/1fff6356d9f99ec2980052c498dc0b70d513bc6d 2025-07-17T07:01:09.3646306Z * [new tag] trunk/2002e3a311968d18afd0fa5d195943676f134fa2 -> trunk/2002e3a311968d18afd0fa5d195943676f134fa2 2025-07-17T07:01:09.3647289Z * [new tag] trunk/2022588295295fa1fdee7a500adad3bd0c28b9d6 -> trunk/2022588295295fa1fdee7a500adad3bd0c28b9d6 2025-07-17T07:01:09.3648232Z * [new tag] trunk/202d2ae53a493700da813ed7d6055c0b62c7fc6c -> trunk/202d2ae53a493700da813ed7d6055c0b62c7fc6c 2025-07-17T07:01:09.3649181Z * [new tag] trunk/204db27a0c4478c36dbb15fa2d4caed783a90265 -> trunk/204db27a0c4478c36dbb15fa2d4caed783a90265 2025-07-17T07:01:09.3650073Z * [new tag] trunk/205241a0d5149d05e44dc113dc0273e8eceff9f0 -> trunk/205241a0d5149d05e44dc113dc0273e8eceff9f0 2025-07-17T07:01:09.3651043Z * [new tag] trunk/208ec60e72a63f366c757a5bc895089ceb323fcc -> trunk/208ec60e72a63f366c757a5bc895089ceb323fcc 2025-07-17T07:01:09.3652024Z * [new tag] trunk/20a74c370b8427cce369b1abf0c470344d01dc8e -> trunk/20a74c370b8427cce369b1abf0c470344d01dc8e 2025-07-17T07:01:09.3652919Z * [new tag] trunk/20e40492b046b9287726d3ec656117e4dc38f0e2 -> trunk/20e40492b046b9287726d3ec656117e4dc38f0e2 2025-07-17T07:01:09.3653806Z * [new tag] trunk/210632fae1aa2cd994645a70836ff6c602e1beb9 -> trunk/210632fae1aa2cd994645a70836ff6c602e1beb9 2025-07-17T07:01:09.3654606Z * [new tag] trunk/212575f994abbc362da2517510c49f7a34e0a838 -> trunk/212575f994abbc362da2517510c49f7a34e0a838 2025-07-17T07:01:09.3655528Z * [new tag] trunk/214e2959dcdbf91a999d5c0a5d40c91e4442e8c5 -> trunk/214e2959dcdbf91a999d5c0a5d40c91e4442e8c5 2025-07-17T07:01:09.3656429Z * [new tag] trunk/2161be849702330509b452fefc2e103d3be54cd4 -> trunk/2161be849702330509b452fefc2e103d3be54cd4 2025-07-17T07:01:09.3657314Z * [new tag] trunk/216bd6091ec52865052282eced7e6d5d2a4b4fb4 -> trunk/216bd6091ec52865052282eced7e6d5d2a4b4fb4 2025-07-17T07:01:09.3658235Z * [new tag] trunk/2179afd7149c117dace9e552419082094b10a386 -> trunk/2179afd7149c117dace9e552419082094b10a386 2025-07-17T07:01:09.3659182Z * [new tag] trunk/21990fbad97acec769f737b450033774c7be8737 -> trunk/21990fbad97acec769f737b450033774c7be8737 2025-07-17T07:01:09.3660229Z * [new tag] trunk/21b5dc7a6aadb5da6c3f5be61f6204719dae00ca -> trunk/21b5dc7a6aadb5da6c3f5be61f6204719dae00ca 2025-07-17T07:01:09.3661121Z * [new tag] trunk/22edb457c9bf13e0d66631dff4f4ace5c38e0f3b -> trunk/22edb457c9bf13e0d66631dff4f4ace5c38e0f3b 2025-07-17T07:01:09.3662357Z * [new tag] trunk/22f3347fd9482bdf1006c9aa92353b739b7e868b -> trunk/22f3347fd9482bdf1006c9aa92353b739b7e868b 2025-07-17T07:01:09.3663287Z * [new tag] trunk/231eb9902ba78a4ef70203243058f3c7c0ced15d -> trunk/231eb9902ba78a4ef70203243058f3c7c0ced15d 2025-07-17T07:01:09.3664224Z * [new tag] trunk/23491519d288dedb2a54cfad5fef7fcb2ad8eade -> trunk/23491519d288dedb2a54cfad5fef7fcb2ad8eade 2025-07-17T07:01:09.3665131Z * [new tag] trunk/2380115f9738f97cf706affefd647d2cb6dfbb3f -> trunk/2380115f9738f97cf706affefd647d2cb6dfbb3f 2025-07-17T07:01:09.3666186Z * [new tag] trunk/24063ad10994e728087b3958cae9cc27dd376630 -> trunk/24063ad10994e728087b3958cae9cc27dd376630 2025-07-17T07:01:09.3667069Z * [new tag] trunk/242eb19c8383b4b197963a8a564475d52c85ac66 -> trunk/242eb19c8383b4b197963a8a564475d52c85ac66 2025-07-17T07:01:09.3668340Z * [new tag] trunk/243b12e5657a516d6e7b1a0a3f55851ce99bd4cb -> trunk/243b12e5657a516d6e7b1a0a3f55851ce99bd4cb 2025-07-17T07:01:09.3669292Z * [new tag] trunk/247113e03e3fc3e933138b52f856f33a8be33071 -> trunk/247113e03e3fc3e933138b52f856f33a8be33071 2025-07-17T07:01:09.3670582Z * [new tag] trunk/2471cc33550fc00164e2759b1d9928960e9cfaf6 -> trunk/2471cc33550fc00164e2759b1d9928960e9cfaf6 2025-07-17T07:01:09.3671839Z * [new tag] trunk/247f83e0a475bc7eea97c76719f8b5ffa87edced -> trunk/247f83e0a475bc7eea97c76719f8b5ffa87edced 2025-07-17T07:01:09.3672638Z * [new tag] trunk/2481c4b2ea5db7a6d6f60f5d27426000c2779dc8 -> trunk/2481c4b2ea5db7a6d6f60f5d27426000c2779dc8 2025-07-17T07:01:09.3673567Z * [new tag] trunk/24b49b98810bb77f3cfa4c15baa9a15c9be3db61 -> trunk/24b49b98810bb77f3cfa4c15baa9a15c9be3db61 2025-07-17T07:01:09.3674465Z * [new tag] trunk/250ae2531c55dcc50f558ec739941324e3f9a4d4 -> trunk/250ae2531c55dcc50f558ec739941324e3f9a4d4 2025-07-17T07:01:09.3675425Z * [new tag] trunk/25717da8c869a06befed60bc1a0e3dcdac7fd7d9 -> trunk/25717da8c869a06befed60bc1a0e3dcdac7fd7d9 2025-07-17T07:01:09.3676315Z * [new tag] trunk/2578796e235d1d878272084253bee3e2cc02a5b1 -> trunk/2578796e235d1d878272084253bee3e2cc02a5b1 2025-07-17T07:01:09.3677208Z * [new tag] trunk/2585960b47d6429a119665216123cb00435efde9 -> trunk/2585960b47d6429a119665216123cb00435efde9 2025-07-17T07:01:09.3678155Z * [new tag] trunk/2596e3d0617852469241be8777cf46db5c83928c -> trunk/2596e3d0617852469241be8777cf46db5c83928c 2025-07-17T07:01:09.3679246Z * [new tag] trunk/2620361d19f9c4bf37a71c8477823d605191c93a -> trunk/2620361d19f9c4bf37a71c8477823d605191c93a 2025-07-17T07:01:09.3680001Z * [new tag] trunk/2625c70aecc6eced1dbe108279feab7509733bef -> trunk/2625c70aecc6eced1dbe108279feab7509733bef 2025-07-17T07:01:09.3680948Z * [new tag] trunk/262654ee518eb314678f53baf4e133e4767eca3d -> trunk/262654ee518eb314678f53baf4e133e4767eca3d 2025-07-17T07:01:09.3682445Z * [new tag] trunk/26807dcf277feb2d99ab88d7b6da526488baea93 -> trunk/26807dcf277feb2d99ab88d7b6da526488baea93 2025-07-17T07:01:09.3683309Z * [new tag] trunk/26f066bb614c2ee5c0eff598c97855b1df011ef8 -> trunk/26f066bb614c2ee5c0eff598c97855b1df011ef8 2025-07-17T07:01:09.3684280Z * [new tag] trunk/26f7ca39724ff43b7b1e22190feeea67d2212f2d -> trunk/26f7ca39724ff43b7b1e22190feeea67d2212f2d 2025-07-17T07:01:09.3685278Z * [new tag] trunk/271ca679a8a0e40f1ecca49db76b5f8d6a9713d6 -> trunk/271ca679a8a0e40f1ecca49db76b5f8d6a9713d6 2025-07-17T07:01:09.3686076Z * [new tag] trunk/276c790010b015b79a7ca110e28f8e2111cfdb79 -> trunk/276c790010b015b79a7ca110e28f8e2111cfdb79 2025-07-17T07:01:09.3687005Z * [new tag] trunk/2796f31b5e3c90268365e961e2374df3ea93ff53 -> trunk/2796f31b5e3c90268365e961e2374df3ea93ff53 2025-07-17T07:01:09.3688095Z * [new tag] trunk/279cae52e750d5b4e0b49f3f1abca6c2027dd063 -> trunk/279cae52e750d5b4e0b49f3f1abca6c2027dd063 2025-07-17T07:01:09.3689053Z * [new tag] trunk/27c50799c1ca156166bf49ce72a5e97097a44d7d -> trunk/27c50799c1ca156166bf49ce72a5e97097a44d7d 2025-07-17T07:01:09.3690048Z * [new tag] trunk/27df0c56b7c6b75a5f77f5714aeef2ef8f1faa2c -> trunk/27df0c56b7c6b75a5f77f5714aeef2ef8f1faa2c 2025-07-17T07:01:09.3690942Z * [new tag] trunk/2815ade9a80e1f557370e86500b21cbc465a8ffe -> trunk/2815ade9a80e1f557370e86500b21cbc465a8ffe 2025-07-17T07:01:09.3691949Z * [new tag] trunk/2815eea0d0e02eaa0243fa8d1b9d8935b13b3aa5 -> trunk/2815eea0d0e02eaa0243fa8d1b9d8935b13b3aa5 2025-07-17T07:01:09.3693109Z * [new tag] trunk/2860f5c4f5328224ab7998bc90b9fb395b5b068b -> trunk/2860f5c4f5328224ab7998bc90b9fb395b5b068b 2025-07-17T07:01:09.3694058Z * [new tag] trunk/28796f71d04302029290f473a286efc2aba339c2 -> trunk/28796f71d04302029290f473a286efc2aba339c2 2025-07-17T07:01:09.3694884Z * [new tag] trunk/28aae93f24556c6aa8c972c0479b01b908b67fbe -> trunk/28aae93f24556c6aa8c972c0479b01b908b67fbe 2025-07-17T07:01:09.3695866Z * [new tag] trunk/2903e5ad3c4304b90daa6e5ed44a379225571b3a -> trunk/2903e5ad3c4304b90daa6e5ed44a379225571b3a 2025-07-17T07:01:09.3696774Z * [new tag] trunk/2908c10259bac21b00e9b36318e364801e0ae910 -> trunk/2908c10259bac21b00e9b36318e364801e0ae910 2025-07-17T07:01:09.3697863Z * [new tag] trunk/29391c7cf927857123108fa5e9dae6ed3db489f1 -> trunk/29391c7cf927857123108fa5e9dae6ed3db489f1 2025-07-17T07:01:09.3698677Z * [new tag] trunk/297805fd8f59b76a28048a79e8bced2616ed8713 -> trunk/297805fd8f59b76a28048a79e8bced2616ed8713 2025-07-17T07:01:09.3699699Z * [new tag] trunk/297daa1d30c80826b939d8f2dcd07422dec72642 -> trunk/297daa1d30c80826b939d8f2dcd07422dec72642 2025-07-17T07:01:09.3700800Z * [new tag] trunk/29867b211ab74355a0e03bdc9e204d89668c291a -> trunk/29867b211ab74355a0e03bdc9e204d89668c291a 2025-07-17T07:01:09.3701692Z * [new tag] trunk/29e6033ff38f0deb8dde1146a1612e64ed00e3b7 -> trunk/29e6033ff38f0deb8dde1146a1612e64ed00e3b7 2025-07-17T07:01:09.3702590Z * [new tag] trunk/29f76ec0f3eccf619a0aee03e3abbd4914a1b4b2 -> trunk/29f76ec0f3eccf619a0aee03e3abbd4914a1b4b2 2025-07-17T07:01:09.3703527Z * [new tag] trunk/2a3b41cbd077b229bbdd59f6f068c9b643a78b0b -> trunk/2a3b41cbd077b229bbdd59f6f068c9b643a78b0b 2025-07-17T07:01:09.3704444Z * [new tag] trunk/2a4e357192a2b01c9acaeb2168349e5396c9192a -> trunk/2a4e357192a2b01c9acaeb2168349e5396c9192a 2025-07-17T07:01:09.3705719Z * [new tag] trunk/2a8795a981c02f57a57f8699d0e85e42c53b6117 -> trunk/2a8795a981c02f57a57f8699d0e85e42c53b6117 2025-07-17T07:01:09.3706372Z * [new tag] trunk/2aade5ee9fafe52aef4e60624e6c950bc25f8a3e -> trunk/2aade5ee9fafe52aef4e60624e6c950bc25f8a3e 2025-07-17T07:01:09.3707241Z * [new tag] trunk/2ad5c25cfc603c3656e6699d6137419dbb009495 -> trunk/2ad5c25cfc603c3656e6699d6137419dbb009495 2025-07-17T07:01:09.3708151Z * [new tag] trunk/2af7c67e48cad59d648a3e85501f74eade5a3268 -> trunk/2af7c67e48cad59d648a3e85501f74eade5a3268 2025-07-17T07:01:09.3709042Z * [new tag] trunk/2b0f9b1f6172a0d5817c7ac7406200897311da5f -> trunk/2b0f9b1f6172a0d5817c7ac7406200897311da5f 2025-07-17T07:01:09.3710209Z * [new tag] trunk/2b19d85d70ecf1b7121e6d35f2adff06e1eb2e06 -> trunk/2b19d85d70ecf1b7121e6d35f2adff06e1eb2e06 2025-07-17T07:01:09.3711034Z * [new tag] trunk/2b9d638e3333e6e9ae324e1486774e83292e1883 -> trunk/2b9d638e3333e6e9ae324e1486774e83292e1883 2025-07-17T07:01:09.3711955Z * [new tag] trunk/2ba930d4ce04f417195f3061e55479a1a8b16b9d -> trunk/2ba930d4ce04f417195f3061e55479a1a8b16b9d 2025-07-17T07:01:09.3712867Z * [new tag] trunk/2bb33e7a08c4710024b3cb249a13cd2f5d0f6473 -> trunk/2bb33e7a08c4710024b3cb249a13cd2f5d0f6473 2025-07-17T07:01:09.3713850Z * [new tag] trunk/2c0d94a7debe83e96a821548a6e0cb18a0f5cfc3 -> trunk/2c0d94a7debe83e96a821548a6e0cb18a0f5cfc3 2025-07-17T07:01:09.3715004Z * [new tag] trunk/2c1a93a0ae7ebd7963a5931d7b34c885d57844d9 -> trunk/2c1a93a0ae7ebd7963a5931d7b34c885d57844d9 2025-07-17T07:01:09.3715881Z * [new tag] trunk/2c6324a1ebf3e3f6a12be6d18fc0bcdbe00f2a0a -> trunk/2c6324a1ebf3e3f6a12be6d18fc0bcdbe00f2a0a 2025-07-17T07:01:09.3716817Z * [new tag] trunk/2c68c3e8d5e9a235f5861be6486de4959f80c840 -> trunk/2c68c3e8d5e9a235f5861be6486de4959f80c840 2025-07-17T07:01:09.3717789Z * [new tag] trunk/2c76f31221e117b217b8a6a96a5405f626d2218a -> trunk/2c76f31221e117b217b8a6a96a5405f626d2218a 2025-07-17T07:01:09.3718717Z * [new tag] trunk/2cdcd16e836a144f36996104b1340b03041eb07a -> trunk/2cdcd16e836a144f36996104b1340b03041eb07a 2025-07-17T07:01:09.3719606Z * [new tag] trunk/2d3615f577894c7a117a55e85bb8371bb598ec50 -> trunk/2d3615f577894c7a117a55e85bb8371bb598ec50 2025-07-17T07:01:09.3720420Z * [new tag] trunk/2d39a48d524021995269411bd49fe792e59d9f94 -> trunk/2d39a48d524021995269411bd49fe792e59d9f94 2025-07-17T07:01:09.3721350Z * [new tag] trunk/2d7e6c6241971106a56073d7a53c7d1336b11a51 -> trunk/2d7e6c6241971106a56073d7a53c7d1336b11a51 2025-07-17T07:01:09.3722296Z * [new tag] trunk/2d832c9587fd99db295b62d0c9b459d509c19d06 -> trunk/2d832c9587fd99db295b62d0c9b459d509c19d06 2025-07-17T07:01:09.3723260Z * [new tag] trunk/2db1a54465b6121993ad7827f1327ed319c81d70 -> trunk/2db1a54465b6121993ad7827f1327ed319c81d70 2025-07-17T07:01:09.3724468Z * [new tag] trunk/2dc16274519841dc2778cba6962cb0357d1ee8dc -> trunk/2dc16274519841dc2778cba6962cb0357d1ee8dc 2025-07-17T07:01:09.3725291Z * [new tag] trunk/2e0e08588e7cb04f49ee5bbc000b18b72864dfa1 -> trunk/2e0e08588e7cb04f49ee5bbc000b18b72864dfa1 2025-07-17T07:01:09.3726246Z * [new tag] trunk/2e14069081172faf9a51bd34c1e0b85dbf39cb4b -> trunk/2e14069081172faf9a51bd34c1e0b85dbf39cb4b 2025-07-17T07:01:09.3727197Z * [new tag] trunk/2e2ea7290a1cf2da3c3efd6e6ad4836bb94beaeb -> trunk/2e2ea7290a1cf2da3c3efd6e6ad4836bb94beaeb 2025-07-17T07:01:09.3728141Z * [new tag] trunk/2e64e45b0b260e2efc2bde641ec2b3b8ed910194 -> trunk/2e64e45b0b260e2efc2bde641ec2b3b8ed910194 2025-07-17T07:01:09.3729089Z * [new tag] trunk/2e9bd03f6075b9b93b070c3770bf58f60be5508e -> trunk/2e9bd03f6075b9b93b070c3770bf58f60be5508e 2025-07-17T07:01:09.3730130Z * [new tag] trunk/2eb744c08d600e84b167dbda7daa792243a2c235 -> trunk/2eb744c08d600e84b167dbda7daa792243a2c235 2025-07-17T07:01:09.3730885Z * [new tag] trunk/2ee23175d96aa022a9c94209c14bbb7f8e064760 -> trunk/2ee23175d96aa022a9c94209c14bbb7f8e064760 2025-07-17T07:01:09.3731837Z * [new tag] trunk/2efa5eaa652f9a6505635d96178e3f119b20adf7 -> trunk/2efa5eaa652f9a6505635d96178e3f119b20adf7 2025-07-17T07:01:09.3732736Z * [new tag] trunk/2eff14c4455de22628ea599a0d4ba047a7eba6ae -> trunk/2eff14c4455de22628ea599a0d4ba047a7eba6ae 2025-07-17T07:01:09.3733802Z * [new tag] trunk/2f1c5c4131047d25f822ac278bac8c13deff4079 -> trunk/2f1c5c4131047d25f822ac278bac8c13deff4079 2025-07-17T07:01:09.3734888Z * [new tag] trunk/2f94f69b7c83370ef0cc65e3ab96bb5bf11a7b1a -> trunk/2f94f69b7c83370ef0cc65e3ab96bb5bf11a7b1a 2025-07-17T07:01:09.3735766Z * [new tag] trunk/2fde2090d001a9ae63ef41413f11897761eb4de9 -> trunk/2fde2090d001a9ae63ef41413f11897761eb4de9 2025-07-17T07:01:09.3736561Z * [new tag] trunk/2ff3280c77c705e11c5211d4be8fef9853cd0559 -> trunk/2ff3280c77c705e11c5211d4be8fef9853cd0559 2025-07-17T07:01:09.3737502Z * [new tag] trunk/3003c681ef1f8efbfa83470173c62930d195364b -> trunk/3003c681ef1f8efbfa83470173c62930d195364b 2025-07-17T07:01:09.3738410Z * [new tag] trunk/30293b8b5edca86cfc80f24874b0968620a8e72d -> trunk/30293b8b5edca86cfc80f24874b0968620a8e72d 2025-07-17T07:01:09.3739710Z * [new tag] trunk/30387ab2e485384ab2e67084a1e2c5569190ba92 -> trunk/30387ab2e485384ab2e67084a1e2c5569190ba92 2025-07-17T07:01:09.3740570Z * [new tag] trunk/3040ca6d0f8558e39919b14eebeacc34ddf980f5 -> trunk/3040ca6d0f8558e39919b14eebeacc34ddf980f5 2025-07-17T07:01:09.3741454Z * [new tag] trunk/30587195d314eb5eb02ce63f39a9be4c943629ef -> trunk/30587195d314eb5eb02ce63f39a9be4c943629ef 2025-07-17T07:01:09.3742349Z * [new tag] trunk/306dd19216b656467143483395ef582feb5d7d07 -> trunk/306dd19216b656467143483395ef582feb5d7d07 2025-07-17T07:01:09.3743797Z * [new tag] trunk/30a1cc11a47e63c4612ac862f1f2d984ab4dbf24 -> trunk/30a1cc11a47e63c4612ac862f1f2d984ab4dbf24 2025-07-17T07:01:09.3744631Z * [new tag] trunk/30d2648a4ae1585e70189e6fdca6dc9ac3d074ec -> trunk/30d2648a4ae1585e70189e6fdca6dc9ac3d074ec 2025-07-17T07:01:09.3745555Z * [new tag] trunk/30d3cf62fb813819364007e26b3eda84f7cddf3b -> trunk/30d3cf62fb813819364007e26b3eda84f7cddf3b 2025-07-17T07:01:09.3746618Z * [new tag] trunk/3106a33e410db9d1c2b0e47f9e329611d344a827 -> trunk/3106a33e410db9d1c2b0e47f9e329611d344a827 2025-07-17T07:01:09.3747450Z * [new tag] trunk/310e8361c565ca1602e719e4c812dc3931ec84d7 -> trunk/310e8361c565ca1602e719e4c812dc3931ec84d7 2025-07-17T07:01:09.3748387Z * [new tag] trunk/31326a9ad7db53e5bf4e03f8e52b75da944d0298 -> trunk/31326a9ad7db53e5bf4e03f8e52b75da944d0298 2025-07-17T07:01:09.3749273Z * [new tag] trunk/313a6a8ef94d689331b2bd8161f95c23d42eb22d -> trunk/313a6a8ef94d689331b2bd8161f95c23d42eb22d 2025-07-17T07:01:09.3750452Z * [new tag] trunk/3159ee2ad3e586573edb977c4c1745a26d9f1007 -> trunk/3159ee2ad3e586573edb977c4c1745a26d9f1007 2025-07-17T07:01:09.3751187Z * [new tag] trunk/31659964a5b546a84a4c18bb9a0828a0f63b8ccb -> trunk/31659964a5b546a84a4c18bb9a0828a0f63b8ccb 2025-07-17T07:01:09.3752052Z * [new tag] trunk/3173616532ecf0d5c0b78595d6054f1b4bd2bd75 -> trunk/3173616532ecf0d5c0b78595d6054f1b4bd2bd75 2025-07-17T07:01:09.3752967Z * [new tag] trunk/317520bf6ed5c1f2ef324f841e8ec0d8d80cb58a -> trunk/317520bf6ed5c1f2ef324f841e8ec0d8d80cb58a 2025-07-17T07:01:09.3753869Z * [new tag] trunk/317af4c87b7b8b03b8a08a4ead84d4065dd920e0 -> trunk/317af4c87b7b8b03b8a08a4ead84d4065dd920e0 2025-07-17T07:01:09.3754756Z * [new tag] trunk/31e127459789f9d97b3b35001c50e76f1b580cd5 -> trunk/31e127459789f9d97b3b35001c50e76f1b580cd5 2025-07-17T07:01:09.3755759Z * [new tag] trunk/3232b57cd87fbd15c990fbf87d181716a1993a55 -> trunk/3232b57cd87fbd15c990fbf87d181716a1993a55 2025-07-17T07:01:09.3756701Z * [new tag] trunk/326e751d07b92f788bece086227da9288206a27a -> trunk/326e751d07b92f788bece086227da9288206a27a 2025-07-17T07:01:09.3757607Z * [new tag] trunk/32983ea698842a2ca331eabb06acce9c99acb082 -> trunk/32983ea698842a2ca331eabb06acce9c99acb082 2025-07-17T07:01:09.3758821Z * [new tag] trunk/32c1611263ecc8832a8d7494480654ad851911c0 -> trunk/32c1611263ecc8832a8d7494480654ad851911c0 2025-07-17T07:01:09.3759634Z * [new tag] trunk/32eee8ed225d9f10fbbcb38c24b8b44c24c0c97c -> trunk/32eee8ed225d9f10fbbcb38c24b8b44c24c0c97c 2025-07-17T07:01:09.3760755Z * [new tag] trunk/3321acc92e24859dbe2ac6499067d1afde5622c3 -> trunk/3321acc92e24859dbe2ac6499067d1afde5622c3 2025-07-17T07:01:09.3761585Z * [new tag] trunk/333e0e61472c71cb2ad51a59cc5c56f6a47bc747 -> trunk/333e0e61472c71cb2ad51a59cc5c56f6a47bc747 2025-07-17T07:01:09.3762732Z * [new tag] trunk/3341c131b767a4036c152624c1e43baaf24cadf9 -> trunk/3341c131b767a4036c152624c1e43baaf24cadf9 2025-07-17T07:01:09.3763694Z * [new tag] trunk/336bff6d58ceb50b12d9d67764fd9f238bc0adb5 -> trunk/336bff6d58ceb50b12d9d67764fd9f238bc0adb5 2025-07-17T07:01:09.3764598Z * [new tag] trunk/336f1e2d35dfc63925754e884543491cc3f98f8c -> trunk/336f1e2d35dfc63925754e884543491cc3f98f8c 2025-07-17T07:01:09.3765530Z * [new tag] trunk/338a8c7853ab9b3e67dbcb402d30fec066bdd856 -> trunk/338a8c7853ab9b3e67dbcb402d30fec066bdd856 2025-07-17T07:01:09.3766505Z * [new tag] trunk/3404c1f0cfe4c8fd41d718d38316c24a3c0474b0 -> trunk/3404c1f0cfe4c8fd41d718d38316c24a3c0474b0 2025-07-17T07:01:09.3767402Z * [new tag] trunk/344731fb257440ab04f2d634929821be9be3fa80 -> trunk/344731fb257440ab04f2d634929821be9be3fa80 2025-07-17T07:01:09.3769752Z * [new tag] trunk/347ace4c7ac2dbb14799089c30bd01a9ac312791 -> trunk/347ace4c7ac2dbb14799089c30bd01a9ac312791 2025-07-17T07:01:09.3770658Z * [new tag] trunk/348e2a76dfe9c8a1995ab6ce4902dbeba935c984 -> trunk/348e2a76dfe9c8a1995ab6ce4902dbeba935c984 2025-07-17T07:01:09.3771625Z * [new tag] trunk/348fd45065620f20080299774f37f45233ef8f6b -> trunk/348fd45065620f20080299774f37f45233ef8f6b 2025-07-17T07:01:09.3772562Z * [new tag] trunk/3490a4f906aeaa867a390c2e97b357f17b01fcf2 -> trunk/3490a4f906aeaa867a390c2e97b357f17b01fcf2 2025-07-17T07:01:09.3773346Z * [new tag] trunk/34c8033fd3dea404db1706e264761912d095f723 -> trunk/34c8033fd3dea404db1706e264761912d095f723 2025-07-17T07:01:09.3774428Z * [new tag] trunk/34d8e64ef64d88324092a2028884c54c13e086b3 -> trunk/34d8e64ef64d88324092a2028884c54c13e086b3 2025-07-17T07:01:09.3775258Z * [new tag] trunk/35321b2ad6e86a58ca5d5be90ad8edce5945e16c -> trunk/35321b2ad6e86a58ca5d5be90ad8edce5945e16c 2025-07-17T07:01:09.3776177Z * [new tag] trunk/3580b8dde44d8bf4f229537ae9897ddd5e70f5db -> trunk/3580b8dde44d8bf4f229537ae9897ddd5e70f5db 2025-07-17T07:01:09.3777379Z * [new tag] trunk/3584e84c2434a2681b7288bcbd3bdb163c793df5 -> trunk/3584e84c2434a2681b7288bcbd3bdb163c793df5 2025-07-17T07:01:09.3778236Z * [new tag] trunk/3596c0c77f28c74e6cfb50769402ed52dbe10c67 -> trunk/3596c0c77f28c74e6cfb50769402ed52dbe10c67 2025-07-17T07:01:09.3779130Z * [new tag] trunk/359e8f5d691cdbbc54beafea25c06fc0ce321ad6 -> trunk/359e8f5d691cdbbc54beafea25c06fc0ce321ad6 2025-07-17T07:01:09.3780085Z * [new tag] trunk/35d03398e511fa0921c9db928c661dc9531ff2fc -> trunk/35d03398e511fa0921c9db928c661dc9531ff2fc 2025-07-17T07:01:09.3781166Z * [new tag] trunk/35e44067c4d9cc9be2652c0b9098885c5a321029 -> trunk/35e44067c4d9cc9be2652c0b9098885c5a321029 2025-07-17T07:01:09.3782054Z * [new tag] trunk/35e8f2593cdb72036c88a4b8d01487747204ba03 -> trunk/35e8f2593cdb72036c88a4b8d01487747204ba03 2025-07-17T07:01:09.3782896Z * [new tag] trunk/35ecd7c2d44a4e370e21ddab76b6c28266188846 -> trunk/35ecd7c2d44a4e370e21ddab76b6c28266188846 2025-07-17T07:01:09.3783887Z * [new tag] trunk/3608737347bcbb1ec1e23d85a29811abfd75c7a1 -> trunk/3608737347bcbb1ec1e23d85a29811abfd75c7a1 2025-07-17T07:01:09.3784775Z * [new tag] trunk/3644b41a7ccda62c066d525d956a08c9eac686c0 -> trunk/3644b41a7ccda62c066d525d956a08c9eac686c0 2025-07-17T07:01:09.3785842Z * [new tag] trunk/365ce465f393a6426b4ab3148da9a92445bf61d3 -> trunk/365ce465f393a6426b4ab3148da9a92445bf61d3 2025-07-17T07:01:09.3786872Z * [new tag] trunk/3684be056d9af667400ba071a116be8b1112bba8 -> trunk/3684be056d9af667400ba071a116be8b1112bba8 2025-07-17T07:01:09.3788246Z * [new tag] trunk/36a722e20d081c1a5a6df417d0f8333f6c082476 -> trunk/36a722e20d081c1a5a6df417d0f8333f6c082476 2025-07-17T07:01:09.3789122Z * [new tag] trunk/36bf81e36396c5f08eb8cab7f7858555282ca6c2 -> trunk/36bf81e36396c5f08eb8cab7f7858555282ca6c2 2025-07-17T07:01:09.3790044Z * [new tag] trunk/36dd598bdac5c665e46f05d00a38d6863a99615f -> trunk/36dd598bdac5c665e46f05d00a38d6863a99615f 2025-07-17T07:01:09.3790868Z * [new tag] trunk/36f7a027b595083f3a3761b407120b3f1f4e8634 -> trunk/36f7a027b595083f3a3761b407120b3f1f4e8634 2025-07-17T07:01:09.3791777Z * [new tag] trunk/36fd1ac9324429c095f8fbc5f6d2bd4b71f18d61 -> trunk/36fd1ac9324429c095f8fbc5f6d2bd4b71f18d61 2025-07-17T07:01:09.3792904Z * [new tag] trunk/370fc49dde9e8635957d9a910d43154085264225 -> trunk/370fc49dde9e8635957d9a910d43154085264225 2025-07-17T07:01:09.3793663Z * [new tag] trunk/376c16703c7f55a7eab9d5751bfc0e91af26a735 -> trunk/376c16703c7f55a7eab9d5751bfc0e91af26a735 2025-07-17T07:01:09.3794625Z * [new tag] trunk/378c121d5e1c8d2c24124f0c0b6cf08a1341e9d9 -> trunk/378c121d5e1c8d2c24124f0c0b6cf08a1341e9d9 2025-07-17T07:01:09.3795577Z * [new tag] trunk/37ccc532f75d8537c5b5d74b1c92a7f20df96353 -> trunk/37ccc532f75d8537c5b5d74b1c92a7f20df96353 2025-07-17T07:01:09.3796645Z * [new tag] trunk/380e30a723c1fb3530cad12ac44706412df7aa71 -> trunk/380e30a723c1fb3530cad12ac44706412df7aa71 2025-07-17T07:01:09.3797856Z * [new tag] trunk/3819584f12e2a46463a9799612ace1f59d76b9cd -> trunk/3819584f12e2a46463a9799612ace1f59d76b9cd 2025-07-17T07:01:09.3798713Z * [new tag] trunk/382598ef872b2afb9a03f8d88277a6c2edeb507f -> trunk/382598ef872b2afb9a03f8d88277a6c2edeb507f 2025-07-17T07:01:09.3799700Z * [new tag] trunk/382c6190c1329e96e71eef21a19737a3eda0040b -> trunk/382c6190c1329e96e71eef21a19737a3eda0040b 2025-07-17T07:01:09.3800533Z * [new tag] trunk/38371f693b07a485705119407da2e5dc64cec4eb -> trunk/38371f693b07a485705119407da2e5dc64cec4eb 2025-07-17T07:01:09.3801633Z * [new tag] trunk/38410cf9b57079f3360c1e79601973a01cb2588c -> trunk/38410cf9b57079f3360c1e79601973a01cb2588c 2025-07-17T07:01:09.3802313Z * [new tag] trunk/3863bbb55b38985c7d64c8a0be7beb2005a9cc07 -> trunk/3863bbb55b38985c7d64c8a0be7beb2005a9cc07 2025-07-17T07:01:09.3803398Z * [new tag] trunk/386aa7200324519ea9a8eff5eb1b3c0517756d24 -> trunk/386aa7200324519ea9a8eff5eb1b3c0517756d24 2025-07-17T07:01:09.3804253Z * [new tag] trunk/386bc9e2e990a6ac29bb90ba97b71c5b85e11080 -> trunk/386bc9e2e990a6ac29bb90ba97b71c5b85e11080 2025-07-17T07:01:09.3805180Z * [new tag] trunk/38757d94f1b3d65295b5ca2d7527ea0d582a5d3b -> trunk/38757d94f1b3d65295b5ca2d7527ea0d582a5d3b 2025-07-17T07:01:09.3806673Z * [new tag] trunk/38bfd462b8fb035de08a8c0d2b7b13eba78ee870 -> trunk/38bfd462b8fb035de08a8c0d2b7b13eba78ee870 2025-07-17T07:01:09.3807626Z * [new tag] trunk/38c4d05535f4e031a2ad5f39a4a415cc3a919cfb -> trunk/38c4d05535f4e031a2ad5f39a4a415cc3a919cfb 2025-07-17T07:01:09.3808554Z * [new tag] trunk/38e1e5d54ce42d42f8920ff46d9102800b94482d -> trunk/38e1e5d54ce42d42f8920ff46d9102800b94482d 2025-07-17T07:01:09.3809701Z * [new tag] trunk/38e5e81e55fc5d85d6cf8a83c96c88578995e3fe -> trunk/38e5e81e55fc5d85d6cf8a83c96c88578995e3fe 2025-07-17T07:01:09.3810516Z * [new tag] trunk/391473cca0b0fa9667ad54c972e7b63bc589cd6d -> trunk/391473cca0b0fa9667ad54c972e7b63bc589cd6d 2025-07-17T07:01:09.3812026Z * [new tag] trunk/39270430c9e4dc7010a9754f522774d17ae9d578 -> trunk/39270430c9e4dc7010a9754f522774d17ae9d578 2025-07-17T07:01:09.3812864Z * [new tag] trunk/39456edbbad97a09e6507792e1df3ee1f2a16f98 -> trunk/39456edbbad97a09e6507792e1df3ee1f2a16f98 2025-07-17T07:01:09.3813683Z * [new tag] trunk/398fca9dcfcb9f90eae9258d728fab71f5b59db2 -> trunk/398fca9dcfcb9f90eae9258d728fab71f5b59db2 2025-07-17T07:01:09.3814592Z * [new tag] trunk/39a8f66d5939e892bcb07ef97462af47d3201491 -> trunk/39a8f66d5939e892bcb07ef97462af47d3201491 2025-07-17T07:01:09.3815432Z * [new tag] trunk/39b71d11fc2dd9b4da6d23a34eb29aefbb1df672 -> trunk/39b71d11fc2dd9b4da6d23a34eb29aefbb1df672 2025-07-17T07:01:09.3816286Z * [new tag] trunk/39c605e8b3c13e7f6b5b1bbbe3f4060e24b2a3e4 -> trunk/39c605e8b3c13e7f6b5b1bbbe3f4060e24b2a3e4 2025-07-17T07:01:09.3817231Z * [new tag] trunk/3a43dba21ff5d01bb8b259af3839c90e447c6ec0 -> trunk/3a43dba21ff5d01bb8b259af3839c90e447c6ec0 2025-07-17T07:01:09.3818347Z * [new tag] trunk/3a5677a380c79810cc370dce6ef79b0871ddcf8c -> trunk/3a5677a380c79810cc370dce6ef79b0871ddcf8c 2025-07-17T07:01:09.3819049Z * [new tag] trunk/3a7ff829c597ef26a271d52ae2a3c8354b2f447e -> trunk/3a7ff829c597ef26a271d52ae2a3c8354b2f447e 2025-07-17T07:01:09.3820083Z * [new tag] trunk/3b4b5f8d474a9c664f622012c6a61414ea7799a9 -> trunk/3b4b5f8d474a9c664f622012c6a61414ea7799a9 2025-07-17T07:01:09.3821227Z * [new tag] trunk/3b6569b1ef4b9ff25f5b75fe0a216d6d084d573f -> trunk/3b6569b1ef4b9ff25f5b75fe0a216d6d084d573f 2025-07-17T07:01:09.3822019Z * [new tag] trunk/3b7c5e6fa5c0be64ddde3a8edc5bcdc10390f1e3 -> trunk/3b7c5e6fa5c0be64ddde3a8edc5bcdc10390f1e3 2025-07-17T07:01:09.3822805Z * [new tag] trunk/3bc6bdc8660c052d932f550d5734da6f801c2630 -> trunk/3bc6bdc8660c052d932f550d5734da6f801c2630 2025-07-17T07:01:09.3823769Z * [new tag] trunk/3bdd5ae334b85a114a2b62fa17dcf204413eda32 -> trunk/3bdd5ae334b85a114a2b62fa17dcf204413eda32 2025-07-17T07:01:09.3824661Z * [new tag] trunk/3beb915004f4e26b1e7c5e7692e6e8ca9b75de46 -> trunk/3beb915004f4e26b1e7c5e7692e6e8ca9b75de46 2025-07-17T07:01:09.3825847Z * [new tag] trunk/3bec588bf5c4eda9a4d42ae4c25e6f87af7f078c -> trunk/3bec588bf5c4eda9a4d42ae4c25e6f87af7f078c 2025-07-17T07:01:09.3826617Z * [new tag] trunk/3c2324c64ac6b7497d630788a66c82705bbb044e -> trunk/3c2324c64ac6b7497d630788a66c82705bbb044e 2025-07-17T07:01:09.3827557Z * [new tag] trunk/3c7079959c8e61d7acb4f704a0ecf74c61425c2e -> trunk/3c7079959c8e61d7acb4f704a0ecf74c61425c2e 2025-07-17T07:01:09.3828519Z * [new tag] trunk/3c72b9fd8feed4588a040bc681ffe83cc7acd26d -> trunk/3c72b9fd8feed4588a040bc681ffe83cc7acd26d 2025-07-17T07:01:09.3829613Z * [new tag] trunk/3cb11877aa30c04be7ffa9b4ca1722f1270a5828 -> trunk/3cb11877aa30c04be7ffa9b4ca1722f1270a5828 2025-07-17T07:01:09.3830289Z * [new tag] trunk/3cbae6dde8f2a9c3b4a3e4e079e97307c3aa52d8 -> trunk/3cbae6dde8f2a9c3b4a3e4e079e97307c3aa52d8 2025-07-17T07:01:09.3831211Z * [new tag] trunk/3d06ff82a84a118f0ed246864d4fc01ac4726328 -> trunk/3d06ff82a84a118f0ed246864d4fc01ac4726328 2025-07-17T07:01:09.3832209Z * [new tag] trunk/3d595fd5595f38bb5ed3d390dc50e1715e173ad6 -> trunk/3d595fd5595f38bb5ed3d390dc50e1715e173ad6 2025-07-17T07:01:09.3833463Z * [new tag] trunk/3d82a1dfb59fa5e248f7499a7ecdf784d4f61c0e -> trunk/3d82a1dfb59fa5e248f7499a7ecdf784d4f61c0e 2025-07-17T07:01:09.3834182Z * [new tag] trunk/3dabc351bb5581f69825eee6b24fbac9f9260241 -> trunk/3dabc351bb5581f69825eee6b24fbac9f9260241 2025-07-17T07:01:09.3835060Z * [new tag] trunk/3dd872e6d53560933d8d7fc11357617746d37168 -> trunk/3dd872e6d53560933d8d7fc11357617746d37168 2025-07-17T07:01:09.3836037Z * [new tag] trunk/3dda80e990121eaf156014fffe6e2a4602c8b195 -> trunk/3dda80e990121eaf156014fffe6e2a4602c8b195 2025-07-17T07:01:09.3836917Z * [new tag] trunk/3df6360e8c956edd25453b21f6b7f56e0366dcb4 -> trunk/3df6360e8c956edd25453b21f6b7f56e0366dcb4 2025-07-17T07:01:09.3837899Z * [new tag] trunk/3e131f7779af03b462f0598afb2569092b57c840 -> trunk/3e131f7779af03b462f0598afb2569092b57c840 2025-07-17T07:01:09.3838846Z * [new tag] trunk/3e38feb05fffdf5b181a1f4c7a6f43b00ef1c526 -> trunk/3e38feb05fffdf5b181a1f4c7a6f43b00ef1c526 2025-07-17T07:01:09.3839733Z * [new tag] trunk/3e56a9cdfb98a9b06568ee54e3157c800d98a17e -> trunk/3e56a9cdfb98a9b06568ee54e3157c800d98a17e 2025-07-17T07:01:09.3840627Z * [new tag] trunk/3eb7084f7a3657f4ba6626aca63721a0020f1bd7 -> trunk/3eb7084f7a3657f4ba6626aca63721a0020f1bd7 2025-07-17T07:01:09.3841562Z * [new tag] trunk/3ed4384f5b4bb7ae7d12298632a258385a51446e -> trunk/3ed4384f5b4bb7ae7d12298632a258385a51446e 2025-07-17T07:01:09.3842528Z * [new tag] trunk/3ee75b7eacef6758db602e87287ef9574609b327 -> trunk/3ee75b7eacef6758db602e87287ef9574609b327 2025-07-17T07:01:09.3843409Z * [new tag] trunk/3ee8828c87ce6186607c3d3ab3852518fca49228 -> trunk/3ee8828c87ce6186607c3d3ab3852518fca49228 2025-07-17T07:01:09.3844317Z * [new tag] trunk/3efb22e09111b92bedb01b2a8385c789fe69090a -> trunk/3efb22e09111b92bedb01b2a8385c789fe69090a 2025-07-17T07:01:09.3845254Z * [new tag] trunk/3effe0c293219b00a0eae7e139fe2d9aed84bc03 -> trunk/3effe0c293219b00a0eae7e139fe2d9aed84bc03 2025-07-17T07:01:09.3846164Z * [new tag] trunk/3f29642ecf039129032cc61c986d7b62807163c0 -> trunk/3f29642ecf039129032cc61c986d7b62807163c0 2025-07-17T07:01:09.3847088Z * [new tag] trunk/3f569f9af77d51d0328f16434e64252756681daa -> trunk/3f569f9af77d51d0328f16434e64252756681daa 2025-07-17T07:01:09.3848220Z * [new tag] trunk/3f65e38b73cb8f0d0b4fb2e9a6671085d371ec40 -> trunk/3f65e38b73cb8f0d0b4fb2e9a6671085d371ec40 2025-07-17T07:01:09.3849053Z * [new tag] trunk/3f69e3b3a07efd5e9aa86d37773bf2a24dc0ea70 -> trunk/3f69e3b3a07efd5e9aa86d37773bf2a24dc0ea70 2025-07-17T07:01:09.3849888Z * [new tag] trunk/3f83e3eeca0645f4b2cd16fa7d5a591e9cf810d4 -> trunk/3f83e3eeca0645f4b2cd16fa7d5a591e9cf810d4 2025-07-17T07:01:09.3851045Z * [new tag] trunk/3f920f3d8f5bd15d2222758f21f9a5d36e4dad1f -> trunk/3f920f3d8f5bd15d2222758f21f9a5d36e4dad1f 2025-07-17T07:01:09.3851850Z * [new tag] trunk/3fd84a8592a2a87d04f0e3f236a92605e2be12df -> trunk/3fd84a8592a2a87d04f0e3f236a92605e2be12df 2025-07-17T07:01:09.3853055Z * [new tag] trunk/400f439670ff8859c17a870eb83dc5cae5a9c2e4 -> trunk/400f439670ff8859c17a870eb83dc5cae5a9c2e4 2025-07-17T07:01:09.3853881Z * [new tag] trunk/402ae09e41005ebff686e97e2f120a6b79e2afb7 -> trunk/402ae09e41005ebff686e97e2f120a6b79e2afb7 2025-07-17T07:01:09.3854878Z * [new tag] trunk/404008e3efdabeaf5b140a3aff77131461c33a0a -> trunk/404008e3efdabeaf5b140a3aff77131461c33a0a 2025-07-17T07:01:09.3855777Z * [new tag] trunk/4048a144abf82041f9b6653d9d4aa600a6a5409a -> trunk/4048a144abf82041f9b6653d9d4aa600a6a5409a 2025-07-17T07:01:09.3857109Z * [new tag] trunk/408d9884b07cf7268961bae7138a6436916d4a43 -> trunk/408d9884b07cf7268961bae7138a6436916d4a43 2025-07-17T07:01:09.3858070Z * [new tag] trunk/40a785103cf94a1dbc3e0e43d1ed6c41fb60bedb -> trunk/40a785103cf94a1dbc3e0e43d1ed6c41fb60bedb 2025-07-17T07:01:09.3859034Z * [new tag] trunk/40d02eb481670325ba80dcb42b40c3ebb347f1c7 -> trunk/40d02eb481670325ba80dcb42b40c3ebb347f1c7 2025-07-17T07:01:09.3860048Z * [new tag] trunk/40e39ae21f15f200828ab32826bed1a4b62532ba -> trunk/40e39ae21f15f200828ab32826bed1a4b62532ba 2025-07-17T07:01:09.3861014Z * [new tag] trunk/40fefe2871a5561b67ec268bab19db60e733f2d4 -> trunk/40fefe2871a5561b67ec268bab19db60e733f2d4 2025-07-17T07:01:09.3861834Z * [new tag] trunk/414ad470450c654d97e73bef704a7b596b5b4cbc -> trunk/414ad470450c654d97e73bef704a7b596b5b4cbc 2025-07-17T07:01:09.3863049Z * [new tag] trunk/415dfabe9b569b71098a2f874f3fc67ad2a4fc2e -> trunk/415dfabe9b569b71098a2f874f3fc67ad2a4fc2e 2025-07-17T07:01:09.3863856Z * [new tag] trunk/4162c0f70297818abd70f2fe7424dcd3cc9b2543 -> trunk/4162c0f70297818abd70f2fe7424dcd3cc9b2543 2025-07-17T07:01:09.3864968Z * [new tag] trunk/41910d7a94d2f3ffe06f7c0c30971c71b9c3b09e -> trunk/41910d7a94d2f3ffe06f7c0c30971c71b9c3b09e 2025-07-17T07:01:09.3865829Z * [new tag] trunk/41971335c98b0881e0784085096eceace575d563 -> trunk/41971335c98b0881e0784085096eceace575d563 2025-07-17T07:01:09.3866732Z * [new tag] trunk/41e8b826d07bbf707bc2c64a78b4dc15e8f3c358 -> trunk/41e8b826d07bbf707bc2c64a78b4dc15e8f3c358 2025-07-17T07:01:09.3868192Z * [new tag] trunk/41f6acef83d280a18909d58f8442e145c9e7ea6f -> trunk/41f6acef83d280a18909d58f8442e145c9e7ea6f 2025-07-17T07:01:09.3869106Z * [new tag] trunk/42015db6a9602f40250f9afc18a3fbad4ca4ef39 -> trunk/42015db6a9602f40250f9afc18a3fbad4ca4ef39 2025-07-17T07:01:09.3870330Z * [new tag] trunk/4237ee3c33b0edb01db96d8c1ecf8f5d2cf184bc -> trunk/4237ee3c33b0edb01db96d8c1ecf8f5d2cf184bc 2025-07-17T07:01:09.3873485Z * [new tag] trunk/4283d96bcdf9aaa4289985267186d74ba6534ee5 -> trunk/4283d96bcdf9aaa4289985267186d74ba6534ee5 2025-07-17T07:01:09.3874615Z * [new tag] trunk/42b48ee67229286127390000f103a11dfc8901f5 -> trunk/42b48ee67229286127390000f103a11dfc8901f5 2025-07-17T07:01:09.3875929Z * [new tag] trunk/42ff6a4a5c4e0d77bd18fcc5426622f1b8f20add -> trunk/42ff6a4a5c4e0d77bd18fcc5426622f1b8f20add 2025-07-17T07:01:09.3877202Z * [new tag] trunk/430cc1c636380a7d50652df646274f7008a76747 -> trunk/430cc1c636380a7d50652df646274f7008a76747 2025-07-17T07:01:09.3878315Z * [new tag] trunk/4311aea5e7568c9956a9f0d694f1980c387b6a37 -> trunk/4311aea5e7568c9956a9f0d694f1980c387b6a37 2025-07-17T07:01:09.3879597Z * [new tag] trunk/433a2471023f77a4e62e880ef59f22caf939c227 -> trunk/433a2471023f77a4e62e880ef59f22caf939c227 2025-07-17T07:01:09.3880788Z * [new tag] trunk/43523bf1682c2926a84a1f65f00fabd3d34db4f2 -> trunk/43523bf1682c2926a84a1f65f00fabd3d34db4f2 2025-07-17T07:01:09.3881508Z * [new tag] trunk/43a09189c68fe02bd9d8433c4a144ffc9bbf895c -> trunk/43a09189c68fe02bd9d8433c4a144ffc9bbf895c 2025-07-17T07:01:09.3882615Z * [new tag] trunk/43f72163275ce1503b1de1480642c61d20e6158d -> trunk/43f72163275ce1503b1de1480642c61d20e6158d 2025-07-17T07:01:09.3883561Z * [new tag] trunk/442aca44d603ae6c2b7d2aa2190cc91f970c4202 -> trunk/442aca44d603ae6c2b7d2aa2190cc91f970c4202 2025-07-17T07:01:09.3884552Z * [new tag] trunk/44303caabfa0bdc5688d693d491ba7c3fdb40f3a -> trunk/44303caabfa0bdc5688d693d491ba7c3fdb40f3a 2025-07-17T07:01:09.3885512Z * [new tag] trunk/443b5b43c3d40b89bbb5db70f3f05a44b2a4ec66 -> trunk/443b5b43c3d40b89bbb5db70f3f05a44b2a4ec66 2025-07-17T07:01:09.3886471Z * [new tag] trunk/4486a6dbfd65ef490cfe73e0630929e85f61ee16 -> trunk/4486a6dbfd65ef490cfe73e0630929e85f61ee16 2025-07-17T07:01:09.3887273Z * [new tag] trunk/4491326fb0c0e67eca1598ae33c41cdfced2cd33 -> trunk/4491326fb0c0e67eca1598ae33c41cdfced2cd33 2025-07-17T07:01:09.3888279Z * [new tag] trunk/44a5f93462bd4aa4f36ae2573685ed7ba458c4c9 -> trunk/44a5f93462bd4aa4f36ae2573685ed7ba458c4c9 2025-07-17T07:01:09.3889163Z * [new tag] trunk/44d0800d60e78fef8ab332e307c3134e3c276ba4 -> trunk/44d0800d60e78fef8ab332e307c3134e3c276ba4 2025-07-17T07:01:09.3890123Z * [new tag] trunk/44df7cf28dd37a4d900eb6b2f78dabf72b209d9b -> trunk/44df7cf28dd37a4d900eb6b2f78dabf72b209d9b 2025-07-17T07:01:09.3891032Z * [new tag] trunk/44f5b9312290866584088e2e42228c484f669faf -> trunk/44f5b9312290866584088e2e42228c484f669faf 2025-07-17T07:01:09.3891827Z * [new tag] trunk/4500a4aa50141ed30e093ef8491b30d1d1287348 -> trunk/4500a4aa50141ed30e093ef8491b30d1d1287348 2025-07-17T07:01:09.3892733Z * [new tag] trunk/451b525bf0cb8840adbde1b6280c7b199f733ced -> trunk/451b525bf0cb8840adbde1b6280c7b199f733ced 2025-07-17T07:01:09.3893689Z * [new tag] trunk/45382b284d03015f3e6eb83a959f0e54a3ebd688 -> trunk/45382b284d03015f3e6eb83a959f0e54a3ebd688 2025-07-17T07:01:09.3894819Z * [new tag] trunk/453bc9fbdfb97fef925477cbbf4948e93fd22756 -> trunk/453bc9fbdfb97fef925477cbbf4948e93fd22756 2025-07-17T07:01:09.3895595Z * [new tag] trunk/45596ec58f5bc5489911ee932c2a55a7ff40d0a0 -> trunk/45596ec58f5bc5489911ee932c2a55a7ff40d0a0 2025-07-17T07:01:09.3896491Z * [new tag] trunk/455dfd258980294f0745bd90aee12a323e37224d -> trunk/455dfd258980294f0745bd90aee12a323e37224d 2025-07-17T07:01:09.3897413Z * [new tag] trunk/456b7451c78096fd512c60e26cc618386a251bc7 -> trunk/456b7451c78096fd512c60e26cc618386a251bc7 2025-07-17T07:01:09.3898335Z * [new tag] trunk/456f40cb09c6e5e0cd268d1601b89fc5ac1987ea -> trunk/456f40cb09c6e5e0cd268d1601b89fc5ac1987ea 2025-07-17T07:01:09.3899280Z * [new tag] trunk/4574b39aa45f0250cba04aa3cb053a686c4888b2 -> trunk/4574b39aa45f0250cba04aa3cb053a686c4888b2 2025-07-17T07:01:09.3900522Z * [new tag] trunk/457dd79927db6ae7f1c53f36768b7ac93b61e507 -> trunk/457dd79927db6ae7f1c53f36768b7ac93b61e507 2025-07-17T07:01:09.3901423Z * [new tag] trunk/4585c33e74079af8e9067bf39970b93c3f13629f -> trunk/4585c33e74079af8e9067bf39970b93c3f13629f 2025-07-17T07:01:09.3902289Z * [new tag] trunk/458cc7213baf01ab742a2250c7a31f7796fcb1ef -> trunk/458cc7213baf01ab742a2250c7a31f7796fcb1ef 2025-07-17T07:01:09.3903167Z * [new tag] trunk/45c5a232373cac1b1524259f20758bfb56dde5f2 -> trunk/45c5a232373cac1b1524259f20758bfb56dde5f2 2025-07-17T07:01:09.3904129Z * [new tag] trunk/4609699bfd440d1fe603c5ad9a942e45410094c1 -> trunk/4609699bfd440d1fe603c5ad9a942e45410094c1 2025-07-17T07:01:09.3905265Z * [new tag] trunk/4628f1b7a9313df98346d582d9a789661a823e27 -> trunk/4628f1b7a9313df98346d582d9a789661a823e27 2025-07-17T07:01:09.3906189Z * [new tag] trunk/463fe36532bc165b46c12cef4948f039434e0924 -> trunk/463fe36532bc165b46c12cef4948f039434e0924 2025-07-17T07:01:09.3907126Z * [new tag] trunk/4657a84bc55b6ce12f21706de2b90e1d43784f57 -> trunk/4657a84bc55b6ce12f21706de2b90e1d43784f57 2025-07-17T07:01:09.3908058Z * [new tag] trunk/46915b13614dbac90724d0f1802b8e0db037c9e4 -> trunk/46915b13614dbac90724d0f1802b8e0db037c9e4 2025-07-17T07:01:09.3909150Z * [new tag] trunk/473208cb18d543e8f968918a6b3c9defa8a4ae10 -> trunk/473208cb18d543e8f968918a6b3c9defa8a4ae10 2025-07-17T07:01:09.3909944Z * [new tag] trunk/476874b37fff42a46d25dfac720ef4c71ec74fe0 -> trunk/476874b37fff42a46d25dfac720ef4c71ec74fe0 2025-07-17T07:01:09.3911278Z * [new tag] trunk/4781b0ee6057fdf2a82d2f9ed30299f219267a71 -> trunk/4781b0ee6057fdf2a82d2f9ed30299f219267a71 2025-07-17T07:01:09.3912146Z * [new tag] trunk/4781d72faa6b72bf96fde9bedfca06a5285eebfb -> trunk/4781d72faa6b72bf96fde9bedfca06a5285eebfb 2025-07-17T07:01:09.3913177Z * [new tag] trunk/47c8810b5275179833d6b33ca3d70922f485272c -> trunk/47c8810b5275179833d6b33ca3d70922f485272c 2025-07-17T07:01:09.3915264Z * [new tag] trunk/47f10d0ad0dda281c886ff08ac2f938207027316 -> trunk/47f10d0ad0dda281c886ff08ac2f938207027316 2025-07-17T07:01:09.3916095Z * [new tag] trunk/4805a6ead6f1e7f32351056e2602be4e908f69b7 -> trunk/4805a6ead6f1e7f32351056e2602be4e908f69b7 2025-07-17T07:01:09.3917073Z * [new tag] trunk/48315181c75e43cab5957197d42e053d66b3fe1c -> trunk/48315181c75e43cab5957197d42e053d66b3fe1c 2025-07-17T07:01:09.3918279Z * [new tag] trunk/4851863e3f98e1ffba1d5801f3533031ef4f905d -> trunk/4851863e3f98e1ffba1d5801f3533031ef4f905d 2025-07-17T07:01:09.3919067Z * [new tag] trunk/48560eef80e97e855cbb8e2814acefe8f5cc6fbd -> trunk/48560eef80e97e855cbb8e2814acefe8f5cc6fbd 2025-07-17T07:01:09.3920190Z * [new tag] trunk/4886ba64dceb24b8a0444e574abb907a18fdeee9 -> trunk/4886ba64dceb24b8a0444e574abb907a18fdeee9 2025-07-17T07:01:09.3920988Z * [new tag] trunk/48921721d8ed32a2c7f80605b434f9fcb2f948b4 -> trunk/48921721d8ed32a2c7f80605b434f9fcb2f948b4 2025-07-17T07:01:09.3921933Z * [new tag] trunk/48de3da2539cecaee14af8e3841c133c9c0c0f1c -> trunk/48de3da2539cecaee14af8e3841c133c9c0c0f1c 2025-07-17T07:01:09.3922734Z * [new tag] trunk/48e7b62d3abda4a3eac2f538c9f35e56093c4ece -> trunk/48e7b62d3abda4a3eac2f538c9f35e56093c4ece 2025-07-17T07:01:09.3923633Z * [new tag] trunk/4918502d2e685270cea9f1fd733a3414ac1ca5d7 -> trunk/4918502d2e685270cea9f1fd733a3414ac1ca5d7 2025-07-17T07:01:09.3924559Z * [new tag] trunk/493bd625e252dea02e871346beaa49745b4b2663 -> trunk/493bd625e252dea02e871346beaa49745b4b2663 2025-07-17T07:01:09.3925489Z * [new tag] trunk/493f42a5417a8ac33d1070478d1869ea4f207b5b -> trunk/493f42a5417a8ac33d1070478d1869ea4f207b5b 2025-07-17T07:01:09.3926385Z * [new tag] trunk/495c317005ad656dee752b6ad7bd5541b04e388e -> trunk/495c317005ad656dee752b6ad7bd5541b04e388e 2025-07-17T07:01:09.3927295Z * [new tag] trunk/49888e6be0dcc00ba546746425893bb17c287248 -> trunk/49888e6be0dcc00ba546746425893bb17c287248 2025-07-17T07:01:09.3928066Z * [new tag] trunk/49ee1e7106db00778345efd7c70cc12d2ca6a91a -> trunk/49ee1e7106db00778345efd7c70cc12d2ca6a91a 2025-07-17T07:01:09.3928892Z * [new tag] trunk/4a26bb8a12ba5cb437ed5b7f035b5b533e07549e -> trunk/4a26bb8a12ba5cb437ed5b7f035b5b533e07549e 2025-07-17T07:01:09.3930045Z * [new tag] trunk/4a4cac0cefea3661cc69cfdafdba64832ee0841a -> trunk/4a4cac0cefea3661cc69cfdafdba64832ee0841a 2025-07-17T07:01:09.3930846Z * [new tag] trunk/4a80ddfbe70bf6b75acc3177e5d2095b285da841 -> trunk/4a80ddfbe70bf6b75acc3177e5d2095b285da841 2025-07-17T07:01:09.3931788Z * [new tag] trunk/4a8f5e752beb5a6809ba866c83f32dd464a47bfd -> trunk/4a8f5e752beb5a6809ba866c83f32dd464a47bfd 2025-07-17T07:01:09.3932728Z * [new tag] trunk/4a954fc1857ff41be604e8cae68908d41124b419 -> trunk/4a954fc1857ff41be604e8cae68908d41124b419 2025-07-17T07:01:09.3934161Z * [new tag] trunk/4ab4d29cbee1f90daf14444d5ca3a53653c7784d -> trunk/4ab4d29cbee1f90daf14444d5ca3a53653c7784d 2025-07-17T07:01:09.3935046Z * [new tag] trunk/4b11428cb5b3d97f3068a2dc4c55cee6ddd41979 -> trunk/4b11428cb5b3d97f3068a2dc4c55cee6ddd41979 2025-07-17T07:01:09.3935996Z * [new tag] trunk/4b4c2a7b1dfd88313801878c5b4e3855fe5232df -> trunk/4b4c2a7b1dfd88313801878c5b4e3855fe5232df 2025-07-17T07:01:09.3937129Z * [new tag] trunk/4b55871e06d6bad54eac45e45a9af615d758a39f -> trunk/4b55871e06d6bad54eac45e45a9af615d758a39f 2025-07-17T07:01:09.3937931Z * [new tag] trunk/4b6cbf528b8f7b95e02e3a0233945e0bb8b00f44 -> trunk/4b6cbf528b8f7b95e02e3a0233945e0bb8b00f44 2025-07-17T07:01:09.3939259Z * [new tag] trunk/4b9a6f7211123511e856ac8c8524bc332a741241 -> trunk/4b9a6f7211123511e856ac8c8524bc332a741241 2025-07-17T07:01:09.3940144Z * [new tag] trunk/4bb936d8b77c959efbff0bdb68f63e5a5faf60a9 -> trunk/4bb936d8b77c959efbff0bdb68f63e5a5faf60a9 2025-07-17T07:01:09.3941102Z * [new tag] trunk/4bc3e4b497948af0a48d08b427339efc8960fedb -> trunk/4bc3e4b497948af0a48d08b427339efc8960fedb 2025-07-17T07:01:09.3942029Z * [new tag] trunk/4bd18e31e5a38d0e84ce915b1fa124058c6373fa -> trunk/4bd18e31e5a38d0e84ce915b1fa124058c6373fa 2025-07-17T07:01:09.3942964Z * [new tag] trunk/4c0091fda65b714fa73671a15e379f814af153e0 -> trunk/4c0091fda65b714fa73671a15e379f814af153e0 2025-07-17T07:01:09.3944193Z * [new tag] trunk/4c0aa37dda605e7cf3372c71940d7e3a93ecef8d -> trunk/4c0aa37dda605e7cf3372c71940d7e3a93ecef8d 2025-07-17T07:01:09.3944985Z * [new tag] trunk/4c3da611c2a80fa5073b164974d7edc0577b9ca7 -> trunk/4c3da611c2a80fa5073b164974d7edc0577b9ca7 2025-07-17T07:01:09.3945911Z * [new tag] trunk/4c59edf0c5838087cbe09c67c6e0e776467a5f2d -> trunk/4c59edf0c5838087cbe09c67c6e0e776467a5f2d 2025-07-17T07:01:09.3946696Z * [new tag] trunk/4c8eb65efb147cd263fc02f5588683f530363a0f -> trunk/4c8eb65efb147cd263fc02f5588683f530363a0f 2025-07-17T07:01:09.3947772Z * [new tag] trunk/4cbbc8b4583e9dac4af7e8d1d8535546de21178c -> trunk/4cbbc8b4583e9dac4af7e8d1d8535546de21178c 2025-07-17T07:01:09.3948652Z * [new tag] trunk/4cc13c4af6dbd5aa36545ef577d0bee517cf8c57 -> trunk/4cc13c4af6dbd5aa36545ef577d0bee517cf8c57 2025-07-17T07:01:09.3949413Z * [new tag] trunk/4cd6e96bf0d13f168772f6ad44267b1ac7632a97 -> trunk/4cd6e96bf0d13f168772f6ad44267b1ac7632a97 2025-07-17T07:01:09.3950386Z * [new tag] trunk/4cdbdcdbcf2b7f7a52a5c61cb35064f7b4aa2e44 -> trunk/4cdbdcdbcf2b7f7a52a5c61cb35064f7b4aa2e44 2025-07-17T07:01:09.3951293Z * [new tag] trunk/4ce6e6ec8890a3f6ee604c9efb3ff153825ce575 -> trunk/4ce6e6ec8890a3f6ee604c9efb3ff153825ce575 2025-07-17T07:01:09.3952220Z * [new tag] trunk/4cfc0a320897b6ec75b85cfc07bc29009a824177 -> trunk/4cfc0a320897b6ec75b85cfc07bc29009a824177 2025-07-17T07:01:09.3953145Z * [new tag] trunk/4d055982e38f59fdb2a4c9d8855e58548bc42c12 -> trunk/4d055982e38f59fdb2a4c9d8855e58548bc42c12 2025-07-17T07:01:09.3954344Z * [new tag] trunk/4d3ecefda5a41df678fd68b020c521db95e9fbde -> trunk/4d3ecefda5a41df678fd68b020c521db95e9fbde 2025-07-17T07:01:09.3955056Z * [new tag] trunk/4d5d627e5ff3310318f9df80348ee419324228df -> trunk/4d5d627e5ff3310318f9df80348ee419324228df 2025-07-17T07:01:09.3955945Z * [new tag] trunk/4d9d884c3f5adc89b59d25d5a080498b76f9bb39 -> trunk/4d9d884c3f5adc89b59d25d5a080498b76f9bb39 2025-07-17T07:01:09.3957336Z * [new tag] trunk/4da98351b9e231bbbe83b5c590cf7d2ea382333a -> trunk/4da98351b9e231bbbe83b5c590cf7d2ea382333a 2025-07-17T07:01:09.3958232Z * [new tag] trunk/4dce5b71a0751aa4287c3a80adf07afc773ec4db -> trunk/4dce5b71a0751aa4287c3a80adf07afc773ec4db 2025-07-17T07:01:09.3961444Z * [new tag] trunk/4e13eca713c60ca63c1116823b99d2461a7422ef -> trunk/4e13eca713c60ca63c1116823b99d2461a7422ef 2025-07-17T07:01:09.3962201Z * [new tag] trunk/4e19477196547eb2e8157d6d132689373ffcf0fa -> trunk/4e19477196547eb2e8157d6d132689373ffcf0fa 2025-07-17T07:01:09.3962755Z * [new tag] trunk/4e8dd11be17a974e0ee5503b3061d4d47467844f -> trunk/4e8dd11be17a974e0ee5503b3061d4d47467844f 2025-07-17T07:01:09.3963392Z * [new tag] trunk/4ebd2690654ffe487c43941ebaea41b99914d8b7 -> trunk/4ebd2690654ffe487c43941ebaea41b99914d8b7 2025-07-17T07:01:09.3964163Z * [new tag] trunk/4ed1b03f7275075b1783d1deab946ced4ceba4d6 -> trunk/4ed1b03f7275075b1783d1deab946ced4ceba4d6 2025-07-17T07:01:09.3964711Z * [new tag] trunk/4ee4863232b9e07728d85254768bcba3aadc9b9a -> trunk/4ee4863232b9e07728d85254768bcba3aadc9b9a 2025-07-17T07:01:09.3965658Z * [new tag] trunk/4f36743f5eef2d9c40357eb5d8d8b1aeeacfbb2a -> trunk/4f36743f5eef2d9c40357eb5d8d8b1aeeacfbb2a 2025-07-17T07:01:09.3966679Z * [new tag] trunk/4f5b34427b57e8b876d12e6ce551f04a7c31cacf -> trunk/4f5b34427b57e8b876d12e6ce551f04a7c31cacf 2025-07-17T07:01:09.3967651Z * [new tag] trunk/4f5be5661240427fbbfbe1d137dce53ca32846b5 -> trunk/4f5be5661240427fbbfbe1d137dce53ca32846b5 2025-07-17T07:01:09.3968755Z * [new tag] trunk/4f70fbbd16d1f0d62af082246a95e56cffccc860 -> trunk/4f70fbbd16d1f0d62af082246a95e56cffccc860 2025-07-17T07:01:09.3970062Z * [new tag] trunk/4ff0e033c16aae064f05ee9300053cd304891673 -> trunk/4ff0e033c16aae064f05ee9300053cd304891673 2025-07-17T07:01:09.3971070Z * [new tag] trunk/4ff9b7fa3116b1c429e577830ac6e816734ad029 -> trunk/4ff9b7fa3116b1c429e577830ac6e816734ad029 2025-07-17T07:01:09.3972081Z * [new tag] trunk/502486d9466e81cda76c91d33eb869235480bee9 -> trunk/502486d9466e81cda76c91d33eb869235480bee9 2025-07-17T07:01:09.3972918Z * [new tag] trunk/503362d019b3782581492af7767945dbd75ca1c9 -> trunk/503362d019b3782581492af7767945dbd75ca1c9 2025-07-17T07:01:09.3973811Z * [new tag] trunk/508cdc4fc9f7a91b5fd3f20de38d673daebf1af3 -> trunk/508cdc4fc9f7a91b5fd3f20de38d673daebf1af3 2025-07-17T07:01:09.3974894Z * [new tag] trunk/50940270ae179134cd4f9072f04ffdd55daf808e -> trunk/50940270ae179134cd4f9072f04ffdd55daf808e 2025-07-17T07:01:09.3975957Z * [new tag] trunk/50b2069b61942e923528c94ccbbc8ab5e92c381e -> trunk/50b2069b61942e923528c94ccbbc8ab5e92c381e 2025-07-17T07:01:09.3976963Z * [new tag] trunk/50d8168c8b62990fda86398c9dee1dc8cbd6908d -> trunk/50d8168c8b62990fda86398c9dee1dc8cbd6908d 2025-07-17T07:01:09.3978079Z * [new tag] trunk/510c398a4f1dff9217938159d605290149358332 -> trunk/510c398a4f1dff9217938159d605290149358332 2025-07-17T07:01:09.3979257Z * [new tag] trunk/5116293f7eb587ada6076f3c3ea1711a0ec7ab4a -> trunk/5116293f7eb587ada6076f3c3ea1711a0ec7ab4a 2025-07-17T07:01:09.3980517Z * [new tag] trunk/5118a8f8a5a7906e26bcbd35370de3416b5cdab0 -> trunk/5118a8f8a5a7906e26bcbd35370de3416b5cdab0 2025-07-17T07:01:09.3981566Z * [new tag] trunk/51560797ce70aea353585d8381ee88c2e6c81075 -> trunk/51560797ce70aea353585d8381ee88c2e6c81075 2025-07-17T07:01:09.3982603Z * [new tag] trunk/517d2995e09603017f07f065c1ae5b8d25962cd2 -> trunk/517d2995e09603017f07f065c1ae5b8d25962cd2 2025-07-17T07:01:09.3983647Z * [new tag] trunk/51853b358e698f6a42c1eef045ab8fa766129ee1 -> trunk/51853b358e698f6a42c1eef045ab8fa766129ee1 2025-07-17T07:01:09.3984384Z * [new tag] trunk/51a708ffc679b13f99e4c7cf19bc00082a3266a6 -> trunk/51a708ffc679b13f99e4c7cf19bc00082a3266a6 2025-07-17T07:01:09.3985650Z * [new tag] trunk/51eb8e8f84bb9aa901cff17dd649e18b17a8908c -> trunk/51eb8e8f84bb9aa901cff17dd649e18b17a8908c 2025-07-17T07:01:09.3986983Z * [new tag] trunk/52214485747ceb0ea47ce5a09babb0b82b3282b8 -> trunk/52214485747ceb0ea47ce5a09babb0b82b3282b8 2025-07-17T07:01:09.3987986Z * [new tag] trunk/522a18bd6c094c766c0de9ef539682d1a3f04a15 -> trunk/522a18bd6c094c766c0de9ef539682d1a3f04a15 2025-07-17T07:01:09.3988897Z * [new tag] trunk/523b637cbeb69665072a2cf489ec1c5313b57670 -> trunk/523b637cbeb69665072a2cf489ec1c5313b57670 2025-07-17T07:01:09.3989959Z * [new tag] trunk/524e8270955788c53473497fd2cc16c5aa0e4c67 -> trunk/524e8270955788c53473497fd2cc16c5aa0e4c67 2025-07-17T07:01:09.3992296Z * [new tag] trunk/5264f8cd8d08272003298cdefe6bd60b1b8c80b4 -> trunk/5264f8cd8d08272003298cdefe6bd60b1b8c80b4 2025-07-17T07:01:09.3993247Z * [new tag] trunk/52772765e034622d1a86476e4bb19c28e3945f74 -> trunk/52772765e034622d1a86476e4bb19c28e3945f74 2025-07-17T07:01:09.3994364Z * [new tag] trunk/5285d1024376396a00fe750fe3d628c65dc26254 -> trunk/5285d1024376396a00fe750fe3d628c65dc26254 2025-07-17T07:01:09.3995258Z * [new tag] trunk/529e0357c6c4e74f8cd32c29198c5f1c9f6e329d -> trunk/529e0357c6c4e74f8cd32c29198c5f1c9f6e329d 2025-07-17T07:01:09.3996242Z * [new tag] trunk/52e4e41cbc36a5cf44395ff84ca2d069263560de -> trunk/52e4e41cbc36a5cf44395ff84ca2d069263560de 2025-07-17T07:01:09.3997250Z * [new tag] trunk/52edfb2cbcdded865645cc82bb1bb501fdcbdb52 -> trunk/52edfb2cbcdded865645cc82bb1bb501fdcbdb52 2025-07-17T07:01:09.3998284Z * [new tag] trunk/52f873adc23e7069ce95933d97ee514022cfbf7d -> trunk/52f873adc23e7069ce95933d97ee514022cfbf7d 2025-07-17T07:01:09.3999382Z * [new tag] trunk/53057fc16af2d381a61fe891b52ac8731ee9dfae -> trunk/53057fc16af2d381a61fe891b52ac8731ee9dfae 2025-07-17T07:01:09.4000982Z * [new tag] trunk/534c454e77ac0eefd52d63c60d42911e7f9617ea -> trunk/534c454e77ac0eefd52d63c60d42911e7f9617ea 2025-07-17T07:01:09.4001897Z * [new tag] trunk/53ab73090eb66d96e45ec134e41cf67266208954 -> trunk/53ab73090eb66d96e45ec134e41cf67266208954 2025-07-17T07:01:09.4002948Z * [new tag] trunk/53cd18f6b31bc2ea62985fda87e96aa17cd11bc1 -> trunk/53cd18f6b31bc2ea62985fda87e96aa17cd11bc1 2025-07-17T07:01:09.4004042Z * [new tag] trunk/53d06e18d9b165cb8aa0a5a3cbb6837ac3000c59 -> trunk/53d06e18d9b165cb8aa0a5a3cbb6837ac3000c59 2025-07-17T07:01:09.4005315Z * [new tag] trunk/53e0b9c3936176521ed8d71c00abd5b7499057c2 -> trunk/53e0b9c3936176521ed8d71c00abd5b7499057c2 2025-07-17T07:01:09.4006360Z * [new tag] trunk/541297daae63f74a90bac52c5db3540bf84bc971 -> trunk/541297daae63f74a90bac52c5db3540bf84bc971 2025-07-17T07:01:09.4007375Z * [new tag] trunk/5430990bd7d050f249b1cdf1f7d1016c4b17488d -> trunk/5430990bd7d050f249b1cdf1f7d1016c4b17488d 2025-07-17T07:01:09.4008348Z * [new tag] trunk/5435e7539930be7bd038683ce096038b30c5bb5f -> trunk/5435e7539930be7bd038683ce096038b30c5bb5f 2025-07-17T07:01:09.4009453Z * [new tag] trunk/545fbd58dc8b4f688f6b259cb671b3ec16a46810 -> trunk/545fbd58dc8b4f688f6b259cb671b3ec16a46810 2025-07-17T07:01:09.4010412Z * [new tag] trunk/54701a0c943245402fceeab0e55d7aa394303c20 -> trunk/54701a0c943245402fceeab0e55d7aa394303c20 2025-07-17T07:01:09.4011374Z * [new tag] trunk/5484890539823d9867c74209588abe095c9232a1 -> trunk/5484890539823d9867c74209588abe095c9232a1 2025-07-17T07:01:09.4012486Z * [new tag] trunk/548c9d8281d9b3d6d12e90c40b3387faf0e24c61 -> trunk/548c9d8281d9b3d6d12e90c40b3387faf0e24c61 2025-07-17T07:01:09.4013544Z * [new tag] trunk/54976bca103fcf2b5037cc0cd1b37c4639fcf779 -> trunk/54976bca103fcf2b5037cc0cd1b37c4639fcf779 2025-07-17T07:01:09.4014602Z * [new tag] trunk/54998c2daaf5b8919cf82367492dd3c5177ab935 -> trunk/54998c2daaf5b8919cf82367492dd3c5177ab935 2025-07-17T07:01:09.4015634Z * [new tag] trunk/54a4d34d100f4ebe45f486451967daba896e839c -> trunk/54a4d34d100f4ebe45f486451967daba896e839c 2025-07-17T07:01:09.4016643Z * [new tag] trunk/54a7e5b5983d237b324b50703bcb0919a6c4c296 -> trunk/54a7e5b5983d237b324b50703bcb0919a6c4c296 2025-07-17T07:01:09.4017750Z * [new tag] trunk/54b8087f638de57c1c93c4624d03f2f2c512b90e -> trunk/54b8087f638de57c1c93c4624d03f2f2c512b90e 2025-07-17T07:01:09.4018934Z * [new tag] trunk/55108074c0795be3b617d3b13b06794f63e1f8ca -> trunk/55108074c0795be3b617d3b13b06794f63e1f8ca 2025-07-17T07:01:09.4019961Z * [new tag] trunk/554b5680405e6197a985040ffe88157beb637450 -> trunk/554b5680405e6197a985040ffe88157beb637450 2025-07-17T07:01:09.4021220Z * [new tag] trunk/555f3562541992b66a550eca8e8740884b1247f8 -> trunk/555f3562541992b66a550eca8e8740884b1247f8 2025-07-17T07:01:09.4022163Z * [new tag] trunk/5596cefba623fcc0739f1e9568131a85973cf1f9 -> trunk/5596cefba623fcc0739f1e9568131a85973cf1f9 2025-07-17T07:01:09.4023349Z * [new tag] trunk/55d888a616be3c94d8e4073b4d1580541692997d -> trunk/55d888a616be3c94d8e4073b4d1580541692997d 2025-07-17T07:01:09.4024290Z * [new tag] trunk/55dae0bf7a4b501be91d0e022e675337dfe288ff -> trunk/55dae0bf7a4b501be91d0e022e675337dfe288ff 2025-07-17T07:01:09.4025319Z * [new tag] trunk/55ef7b15e0b2de903bfc26adfb0788ecfbcb4ed4 -> trunk/55ef7b15e0b2de903bfc26adfb0788ecfbcb4ed4 2025-07-17T07:01:09.4026432Z * [new tag] trunk/5606c516fd87e5c3594177e4ca64c3cac7fdafd5 -> trunk/5606c516fd87e5c3594177e4ca64c3cac7fdafd5 2025-07-17T07:01:09.4027276Z * [new tag] trunk/5633283574c458bd6a3cbb6a0a890f0cb9c8b2b5 -> trunk/5633283574c458bd6a3cbb6a0a890f0cb9c8b2b5 2025-07-17T07:01:09.4028312Z * [new tag] trunk/563fd95563c5edd732ae260b3bd3d0c38822ab57 -> trunk/563fd95563c5edd732ae260b3bd3d0c38822ab57 2025-07-17T07:01:09.4029293Z * [new tag] trunk/565fd079099d33a81c11d7b36581f09441ba6efa -> trunk/565fd079099d33a81c11d7b36581f09441ba6efa 2025-07-17T07:01:09.4030164Z * [new tag] trunk/568ca89bac9a80a66d664593a26ae69ac604796e -> trunk/568ca89bac9a80a66d664593a26ae69ac604796e 2025-07-17T07:01:09.4031191Z * [new tag] trunk/5692cbb818f1af9fcce9234e202d232afa5f3fa3 -> trunk/5692cbb818f1af9fcce9234e202d232afa5f3fa3 2025-07-17T07:01:09.4032182Z * [new tag] trunk/56b03df6ac5b4185a2b7b92f253565500a5b51ca -> trunk/56b03df6ac5b4185a2b7b92f253565500a5b51ca 2025-07-17T07:01:09.4033263Z * [new tag] trunk/56b3bf0c74f5837fd4fa6293bc515d353cb10295 -> trunk/56b3bf0c74f5837fd4fa6293bc515d353cb10295 2025-07-17T07:01:09.4034270Z * [new tag] trunk/56c69bedcc7e2211e5a3d6249e51b1674be5d10e -> trunk/56c69bedcc7e2211e5a3d6249e51b1674be5d10e 2025-07-17T07:01:09.4035295Z * [new tag] trunk/5763ec5f8d11df5eea962bedc74563394c0e273f -> trunk/5763ec5f8d11df5eea962bedc74563394c0e273f 2025-07-17T07:01:09.4036366Z * [new tag] trunk/577baa411675ed241c7d5cf79f25c13e29dac583 -> trunk/577baa411675ed241c7d5cf79f25c13e29dac583 2025-07-17T07:01:09.4037171Z * [new tag] trunk/57e4d7b5ccb8e35b434b62cc1f9aafb7d4d82b55 -> trunk/57e4d7b5ccb8e35b434b62cc1f9aafb7d4d82b55 2025-07-17T07:01:09.4038093Z * [new tag] trunk/584a0510b30b2472e54197d6b67b6f5f5e8ac807 -> trunk/584a0510b30b2472e54197d6b67b6f5f5e8ac807 2025-07-17T07:01:09.4039112Z * [new tag] trunk/588b5fb94bc6d2195ba5a4287b7feebe736da7db -> trunk/588b5fb94bc6d2195ba5a4287b7feebe736da7db 2025-07-17T07:01:09.4040328Z * [new tag] trunk/58e5d20c57e6baafd82b3b49c0e52931f5ae5d51 -> trunk/58e5d20c57e6baafd82b3b49c0e52931f5ae5d51 2025-07-17T07:01:09.4041223Z * [new tag] trunk/590607c5992d200b86361c5b68d53c93d8099193 -> trunk/590607c5992d200b86361c5b68d53c93d8099193 2025-07-17T07:01:09.4042440Z * [new tag] trunk/590fe4d2d7565f2045ef1ad4f4aad1f3b3de7aa3 -> trunk/590fe4d2d7565f2045ef1ad4f4aad1f3b3de7aa3 2025-07-17T07:01:09.4043655Z * [new tag] trunk/5951fcd50acc51bb91beae8488758f35219da849 -> trunk/5951fcd50acc51bb91beae8488758f35219da849 2025-07-17T07:01:09.4044459Z * [new tag] trunk/596b418391aa5d520e69310250c1f86c6c0a1107 -> trunk/596b418391aa5d520e69310250c1f86c6c0a1107 2025-07-17T07:01:09.4045633Z * [new tag] trunk/59c3cac4547aafd2f718b7c64053098cc5886878 -> trunk/59c3cac4547aafd2f718b7c64053098cc5886878 2025-07-17T07:01:09.4046975Z * [new tag] trunk/59eb61b2d1e4b64debbefa036acd0d8c7d55f0a3 -> trunk/59eb61b2d1e4b64debbefa036acd0d8c7d55f0a3 2025-07-17T07:01:09.4047941Z * [new tag] trunk/59f9b25f3cfc635053843372ea29ff4bf754da3f -> trunk/59f9b25f3cfc635053843372ea29ff4bf754da3f 2025-07-17T07:01:09.4049281Z * [new tag] trunk/5a2db5152d23f76dbb45d20008d9af68e761e8d1 -> trunk/5a2db5152d23f76dbb45d20008d9af68e761e8d1 2025-07-17T07:01:09.4050289Z * [new tag] trunk/5a533f74a160f6a570c2b9770ffdd89874ba59e2 -> trunk/5a533f74a160f6a570c2b9770ffdd89874ba59e2 2025-07-17T07:01:09.4051278Z * [new tag] trunk/5a54db14e3843cfa87fd8d27487dbf2f2dfb6c47 -> trunk/5a54db14e3843cfa87fd8d27487dbf2f2dfb6c47 2025-07-17T07:01:09.4052497Z * [new tag] trunk/5a5a05a6a3be376130848e235df73b752eef0230 -> trunk/5a5a05a6a3be376130848e235df73b752eef0230 2025-07-17T07:01:09.4053471Z * [new tag] trunk/5ab257c74c8e3ffe99380790de2134ba8013555e -> trunk/5ab257c74c8e3ffe99380790de2134ba8013555e 2025-07-17T07:01:09.4054658Z * [new tag] trunk/5ab6a3fb6fd37c542060c606edd4b95c7e3cae82 -> trunk/5ab6a3fb6fd37c542060c606edd4b95c7e3cae82 2025-07-17T07:01:09.4055612Z * [new tag] trunk/5ad2bee2c8a7defd2580bb138145a49c37146fcc -> trunk/5ad2bee2c8a7defd2580bb138145a49c37146fcc 2025-07-17T07:01:09.4056789Z * [new tag] trunk/5aee022d8b2bc9d31ddaf877315ffb8ad9d62985 -> trunk/5aee022d8b2bc9d31ddaf877315ffb8ad9d62985 2025-07-17T07:01:09.4057531Z * [new tag] trunk/5b10b0a96f9abf8c2751db324f0773aa433ec783 -> trunk/5b10b0a96f9abf8c2751db324f0773aa433ec783 2025-07-17T07:01:09.4058694Z * [new tag] trunk/5b4e0255d7ed756c312fb74ffcf17fe62c903bd7 -> trunk/5b4e0255d7ed756c312fb74ffcf17fe62c903bd7 2025-07-17T07:01:09.4059930Z * [new tag] trunk/5b656289064311e8bb08e1148db7d9b41f9d7ac8 -> trunk/5b656289064311e8bb08e1148db7d9b41f9d7ac8 2025-07-17T07:01:09.4062583Z * [new tag] trunk/5b9db4335e61c1c903cb0769282cbea588e49036 -> trunk/5b9db4335e61c1c903cb0769282cbea588e49036 2025-07-17T07:01:09.4063475Z * [new tag] trunk/5bd7804be2186f1756fba75ecc900d3b19016ad5 -> trunk/5bd7804be2186f1756fba75ecc900d3b19016ad5 2025-07-17T07:01:09.4064641Z * [new tag] trunk/5c79a55e7e58c6382c7ce02da1cd07d358239d94 -> trunk/5c79a55e7e58c6382c7ce02da1cd07d358239d94 2025-07-17T07:01:09.4065778Z * [new tag] trunk/5c7e1d39ab81647300d60e7cc22b24acf2641457 -> trunk/5c7e1d39ab81647300d60e7cc22b24acf2641457 2025-07-17T07:01:09.4066979Z * [new tag] trunk/5cc4e856fda4accb2e9291527693a91dc2a18d89 -> trunk/5cc4e856fda4accb2e9291527693a91dc2a18d89 2025-07-17T07:01:09.4068284Z * [new tag] trunk/5cfe4377d6f3b5845ba1f67122e5fbda8d642ecd -> trunk/5cfe4377d6f3b5845ba1f67122e5fbda8d642ecd 2025-07-17T07:01:09.4069240Z * [new tag] trunk/5d5a5b3501dfb0759ed36d0a88b65cdcd87c1e27 -> trunk/5d5a5b3501dfb0759ed36d0a88b65cdcd87c1e27 2025-07-17T07:01:09.4071152Z * [new tag] trunk/5d8d126249f83a9581f6b086f0891753bbb7175e -> trunk/5d8d126249f83a9581f6b086f0891753bbb7175e 2025-07-17T07:01:09.4072831Z * [new tag] trunk/5db9a2b54ae69917753be5b2eef0e15ad3cfd19b -> trunk/5db9a2b54ae69917753be5b2eef0e15ad3cfd19b 2025-07-17T07:01:09.4073835Z * [new tag] trunk/5dc75f72d4ede12067ddca459e02c8ee8a95e02c -> trunk/5dc75f72d4ede12067ddca459e02c8ee8a95e02c 2025-07-17T07:01:09.4075145Z * [new tag] trunk/5dd07c70e53a86b73f49711b8186d86dc4f1b32a -> trunk/5dd07c70e53a86b73f49711b8186d86dc4f1b32a 2025-07-17T07:01:09.4076073Z * [new tag] trunk/5dd9652389ed7959a842323e4ce063f553710e47 -> trunk/5dd9652389ed7959a842323e4ce063f553710e47 2025-07-17T07:01:09.4077260Z * [new tag] trunk/5df3bf13ec4e436abefe9d3822230727c04c2ab7 -> trunk/5df3bf13ec4e436abefe9d3822230727c04c2ab7 2025-07-17T07:01:09.4078201Z * [new tag] trunk/5dfd8a9c7a464bb42e81b8594eefd2fa865e5423 -> trunk/5dfd8a9c7a464bb42e81b8594eefd2fa865e5423 2025-07-17T07:01:09.4079463Z * [new tag] trunk/5dfe1787b5ed372fe1e9f0d73fab4e53a61bd17a -> trunk/5dfe1787b5ed372fe1e9f0d73fab4e53a61bd17a 2025-07-17T07:01:09.4080241Z * [new tag] trunk/5e18bc333144473f1f10bc8a5ba05dba7950fb8a -> trunk/5e18bc333144473f1f10bc8a5ba05dba7950fb8a 2025-07-17T07:01:09.4081531Z * [new tag] trunk/5e636d664ae0ccfdc1f0c5b060eb50fabf56e91b -> trunk/5e636d664ae0ccfdc1f0c5b060eb50fabf56e91b 2025-07-17T07:01:09.4082570Z * [new tag] trunk/5e93abe3c0106cf6fc694a38433909f20ee6a92c -> trunk/5e93abe3c0106cf6fc694a38433909f20ee6a92c 2025-07-17T07:01:09.4083530Z * [new tag] trunk/5eb5c3700bf51015e6a46f9f20c0e0e20cf55ab6 -> trunk/5eb5c3700bf51015e6a46f9f20c0e0e20cf55ab6 2025-07-17T07:01:09.4084744Z * [new tag] trunk/5f1225ef487a4c3954499a8ae5b5a55751e3ef2b -> trunk/5f1225ef487a4c3954499a8ae5b5a55751e3ef2b 2025-07-17T07:01:09.4085613Z * [new tag] trunk/5fb07acbc32874a932cd26087cf752b2f4cc72df -> trunk/5fb07acbc32874a932cd26087cf752b2f4cc72df 2025-07-17T07:01:09.4087444Z * [new tag] trunk/5fbaa041e75af11c7ff892e544707820232bd750 -> trunk/5fbaa041e75af11c7ff892e544707820232bd750 2025-07-17T07:01:09.4088603Z * [new tag] trunk/602044068359a3be08b2030a1bb1efb4dc107767 -> trunk/602044068359a3be08b2030a1bb1efb4dc107767 2025-07-17T07:01:09.4089691Z * [new tag] trunk/603a54a9b33e1aabe1407721d7935b881a160968 -> trunk/603a54a9b33e1aabe1407721d7935b881a160968 2025-07-17T07:01:09.4090663Z * [new tag] trunk/606d73bde495b055984206986fb7dd8918570e89 -> trunk/606d73bde495b055984206986fb7dd8918570e89 2025-07-17T07:01:09.4091862Z * [new tag] trunk/6098209bfffa453ec2cea08b0c9991b3b7e2bfeb -> trunk/6098209bfffa453ec2cea08b0c9991b3b7e2bfeb 2025-07-17T07:01:09.4092781Z * [new tag] trunk/60abb0d3273749cb2a7d583c7c2863bd2819e87e -> trunk/60abb0d3273749cb2a7d583c7c2863bd2819e87e 2025-07-17T07:01:09.4093931Z * [new tag] trunk/60b41de0ca0e5240eccf15c26a2b55b4a34d6f47 -> trunk/60b41de0ca0e5240eccf15c26a2b55b4a34d6f47 2025-07-17T07:01:09.4094926Z * [new tag] trunk/60e66d11ab3d62273cafa7f6b104db7e20f75dfd -> trunk/60e66d11ab3d62273cafa7f6b104db7e20f75dfd 2025-07-17T07:01:09.4096071Z * [new tag] trunk/61712e6f2ba58cce354a742d918934ec7293ee43 -> trunk/61712e6f2ba58cce354a742d918934ec7293ee43 2025-07-17T07:01:09.4097221Z * [new tag] trunk/617e3f69f8479197be57a28cc31e001c3feec407 -> trunk/617e3f69f8479197be57a28cc31e001c3feec407 2025-07-17T07:01:09.4098139Z * [new tag] trunk/61a7b09ef39907b6c4b47445f965c4c77cc6c2ed -> trunk/61a7b09ef39907b6c4b47445f965c4c77cc6c2ed 2025-07-17T07:01:09.4099293Z * [new tag] trunk/61b271e0f3f93209325dea9dccb1e97e7bc16b41 -> trunk/61b271e0f3f93209325dea9dccb1e97e7bc16b41 2025-07-17T07:01:09.4100313Z * [new tag] trunk/61e13782ddddf9e957c984ef11d7bb7643b871e7 -> trunk/61e13782ddddf9e957c984ef11d7bb7643b871e7 2025-07-17T07:01:09.4101651Z * [new tag] trunk/61eaaa21a42398941ea3fb01585a0926e9544831 -> trunk/61eaaa21a42398941ea3fb01585a0926e9544831 2025-07-17T07:01:09.4102559Z * [new tag] trunk/61f6aa36b9f9a168bd3c710c449f0a78c0301972 -> trunk/61f6aa36b9f9a168bd3c710c449f0a78c0301972 2025-07-17T07:01:09.4103706Z * [new tag] trunk/6200584193b770411b7f91880bbff6f746acfcb0 -> trunk/6200584193b770411b7f91880bbff6f746acfcb0 2025-07-17T07:01:09.4104653Z * [new tag] trunk/620415e018cd67e45d5c0a87964aff8751c9bf71 -> trunk/620415e018cd67e45d5c0a87964aff8751c9bf71 2025-07-17T07:01:09.4105901Z * [new tag] trunk/6215e90b7b9af8275c5dbfaa5fd58d7ec08b6764 -> trunk/6215e90b7b9af8275c5dbfaa5fd58d7ec08b6764 2025-07-17T07:01:09.4106807Z * [new tag] trunk/62272d5b24e7f505a02175de3c56ecc287557d2a -> trunk/62272d5b24e7f505a02175de3c56ecc287557d2a 2025-07-17T07:01:09.4107983Z * [new tag] trunk/627ba411366bcc15019c49756d3f22fd3914bd50 -> trunk/627ba411366bcc15019c49756d3f22fd3914bd50 2025-07-17T07:01:09.4108922Z * [new tag] trunk/62fa3f5aebfe763f5de27e687e4c81df7c7080e3 -> trunk/62fa3f5aebfe763f5de27e687e4c81df7c7080e3 2025-07-17T07:01:09.4110181Z * [new tag] trunk/6303cc41b71c02af9c855f3cc85b1146a97fc7a8 -> trunk/6303cc41b71c02af9c855f3cc85b1146a97fc7a8 2025-07-17T07:01:09.4111221Z * [new tag] trunk/63360e64da814de8ce271f1e4b6e2380a03b585e -> trunk/63360e64da814de8ce271f1e4b6e2380a03b585e 2025-07-17T07:01:09.4112167Z * [new tag] trunk/63a96eaeb84f5af6e83c7360c09f5540a44d19ca -> trunk/63a96eaeb84f5af6e83c7360c09f5540a44d19ca 2025-07-17T07:01:09.4113701Z * [new tag] trunk/63e87d6d05dc05ed7cc642c0cf8fd1cd2e3b93a1 -> trunk/63e87d6d05dc05ed7cc642c0cf8fd1cd2e3b93a1 2025-07-17T07:01:09.4114673Z * [new tag] trunk/6401d1d53d13cb2d564d48a30a8cf4f952ff773d -> trunk/6401d1d53d13cb2d564d48a30a8cf4f952ff773d 2025-07-17T07:01:09.4115851Z * [new tag] trunk/640703d95f210876f20f8f16c868442dad17b477 -> trunk/640703d95f210876f20f8f16c868442dad17b477 2025-07-17T07:01:09.4116801Z * [new tag] trunk/640f5a70905b01405f1ce397d25308d3e6a1d421 -> trunk/640f5a70905b01405f1ce397d25308d3e6a1d421 2025-07-17T07:01:09.4117951Z * [new tag] trunk/6442ae9256a6936bc8efe31fc5326d5c1c1f660b -> trunk/6442ae9256a6936bc8efe31fc5326d5c1c1f660b 2025-07-17T07:01:09.4119191Z * [new tag] trunk/64436c38c956b252d8c9f6f68e94fb46c34efdac -> trunk/64436c38c956b252d8c9f6f68e94fb46c34efdac 2025-07-17T07:01:09.4119978Z * [new tag] trunk/644cc58dfffe1b5bd15688495551b49462c163f6 -> trunk/644cc58dfffe1b5bd15688495551b49462c163f6 2025-07-17T07:01:09.4121162Z * [new tag] trunk/64bb6317a57d14c37339d86cded7c6b860c7d638 -> trunk/64bb6317a57d14c37339d86cded7c6b860c7d638 2025-07-17T07:01:09.4122103Z * [new tag] trunk/64f2ec77f869a7d495694519fb482e9ecaaa6da1 -> trunk/64f2ec77f869a7d495694519fb482e9ecaaa6da1 2025-07-17T07:01:09.4123403Z * [new tag] trunk/651b4a68f2a60d55d266e40776709247ef347d68 -> trunk/651b4a68f2a60d55d266e40776709247ef347d68 2025-07-17T07:01:09.4124317Z * [new tag] trunk/653c52fe52254e6783d75a73c3a8abbfd9cd2b3c -> trunk/653c52fe52254e6783d75a73c3a8abbfd9cd2b3c 2025-07-17T07:01:09.4125500Z * [new tag] trunk/655b3b14ffba4ae73e26a63b4289329e8d160a6f -> trunk/655b3b14ffba4ae73e26a63b4289329e8d160a6f 2025-07-17T07:01:09.4126265Z * [new tag] trunk/65b9c13cce43a7a8666ca1ef12b554a5dcfd2492 -> trunk/65b9c13cce43a7a8666ca1ef12b554a5dcfd2492 2025-07-17T07:01:09.4127452Z * [new tag] trunk/65fcca4f8c97de82d35d51ad9b790d10433e9b91 -> trunk/65fcca4f8c97de82d35d51ad9b790d10433e9b91 2025-07-17T07:01:09.4128438Z * [new tag] trunk/660695f11dd73efbe2694be0ed5826e4624f22e4 -> trunk/660695f11dd73efbe2694be0ed5826e4624f22e4 2025-07-17T07:01:09.4129275Z * [new tag] trunk/660dbea909b98f19dc0239a7ae565f8a52cfe846 -> trunk/660dbea909b98f19dc0239a7ae565f8a52cfe846 2025-07-17T07:01:09.4130442Z * [new tag] trunk/6629eaf0c658b523eed47a98c0a3e6b44fd89c6b -> trunk/6629eaf0c658b523eed47a98c0a3e6b44fd89c6b 2025-07-17T07:01:09.4131353Z * [new tag] trunk/662c1cfed2bf3262709f1150fcb11e96bc29e142 -> trunk/662c1cfed2bf3262709f1150fcb11e96bc29e142 2025-07-17T07:01:09.4132574Z * [new tag] trunk/670dab6c630552b32189911f22896ec453e55ab7 -> trunk/670dab6c630552b32189911f22896ec453e55ab7 2025-07-17T07:01:09.4133475Z * [new tag] trunk/671a9d175b7e15b4947c97f50b931dba1cc35a63 -> trunk/671a9d175b7e15b4947c97f50b931dba1cc35a63 2025-07-17T07:01:09.4134634Z * [new tag] trunk/672ac2ec86d8ffe080399363df96597437e51115 -> trunk/672ac2ec86d8ffe080399363df96597437e51115 2025-07-17T07:01:09.4135595Z * [new tag] trunk/67ee0c6725e8dd2d0372ff902775b7040631aaf7 -> trunk/67ee0c6725e8dd2d0372ff902775b7040631aaf7 2025-07-17T07:01:09.4136717Z * [new tag] trunk/67f8270516ef877aec85801e4a8d0b533687e938 -> trunk/67f8270516ef877aec85801e4a8d0b533687e938 2025-07-17T07:01:09.4137525Z * [new tag] trunk/6835ba1b3409d9764c6e704cdc0311d53ea0841a -> trunk/6835ba1b3409d9764c6e704cdc0311d53ea0841a 2025-07-17T07:01:09.4138612Z * [new tag] trunk/68996dc18306ac0320ac5e6979f1a7a7a226b3cc -> trunk/68996dc18306ac0320ac5e6979f1a7a7a226b3cc 2025-07-17T07:01:09.4139635Z * [new tag] trunk/68f36683f0c0dfe7befeba2b65dee30faf88f7cc -> trunk/68f36683f0c0dfe7befeba2b65dee30faf88f7cc 2025-07-17T07:01:09.4141271Z * [new tag] trunk/6918758f554790e1155fe9f3ee4120692347680a -> trunk/6918758f554790e1155fe9f3ee4120692347680a 2025-07-17T07:01:09.4142436Z * [new tag] trunk/693116f765ede6632d3dd8ef3ffe01cc40b960b9 -> trunk/693116f765ede6632d3dd8ef3ffe01cc40b960b9 2025-07-17T07:01:09.4143312Z * [new tag] trunk/694028f50269c9f34721db813e9ee1a8221c99b2 -> trunk/694028f50269c9f34721db813e9ee1a8221c99b2 2025-07-17T07:01:09.4144686Z * [new tag] trunk/6959b5febe090375e261e678902681533d2e2528 -> trunk/6959b5febe090375e261e678902681533d2e2528 2025-07-17T07:01:09.4145659Z * [new tag] trunk/69f2e09cc241176d6128a8f92f9490422c5b81b3 -> trunk/69f2e09cc241176d6128a8f92f9490422c5b81b3 2025-07-17T07:01:09.4146868Z * [new tag] trunk/6a3d00aa3b1e54feeb040891bfe2c59c36b9443c -> trunk/6a3d00aa3b1e54feeb040891bfe2c59c36b9443c 2025-07-17T07:01:09.4147825Z * [new tag] trunk/6abe450a6fda580714a276ed2dd695ab99074b93 -> trunk/6abe450a6fda580714a276ed2dd695ab99074b93 2025-07-17T07:01:09.4148974Z * [new tag] trunk/6b05842e4785f52ab89a8fa2a88f9e6f2316cbbd -> trunk/6b05842e4785f52ab89a8fa2a88f9e6f2316cbbd 2025-07-17T07:01:09.4150078Z * [new tag] trunk/6b1211df294e57d59c1e1717b1fedc671ec5bd5a -> trunk/6b1211df294e57d59c1e1717b1fedc671ec5bd5a 2025-07-17T07:01:09.4150938Z * [new tag] trunk/6b2bef10afae4acb18f230a496392b673c954ce7 -> trunk/6b2bef10afae4acb18f230a496392b673c954ce7 2025-07-17T07:01:09.4152123Z * [new tag] trunk/6b3eef6d316ce33ef0f0416c2f3f6a827ac4fe30 -> trunk/6b3eef6d316ce33ef0f0416c2f3f6a827ac4fe30 2025-07-17T07:01:09.4153033Z * [new tag] trunk/6b45af38a5991134f45d9750b79c767688ba3761 -> trunk/6b45af38a5991134f45d9750b79c767688ba3761 2025-07-17T07:01:09.4154273Z * [new tag] trunk/6b7767fc8d759017b5fc2a7002051cf5c05615a9 -> trunk/6b7767fc8d759017b5fc2a7002051cf5c05615a9 2025-07-17T07:01:09.4155167Z * [new tag] trunk/6b84cb29f97957032c5aa91b4e2a6bfa166db04d -> trunk/6b84cb29f97957032c5aa91b4e2a6bfa166db04d 2025-07-17T07:01:09.4156242Z * [new tag] trunk/6bc263809de610e2fcdf594c122a0f99c6c7d96f -> trunk/6bc263809de610e2fcdf594c122a0f99c6c7d96f 2025-07-17T07:01:09.4157231Z * [new tag] trunk/6c008e2fb5a94342c5c4047d034c61bb067fa2b7 -> trunk/6c008e2fb5a94342c5c4047d034c61bb067fa2b7 2025-07-17T07:01:09.4158480Z * [new tag] trunk/6c05f2fca049344fbbb55eed7a6c866f34c8a477 -> trunk/6c05f2fca049344fbbb55eed7a6c866f34c8a477 2025-07-17T07:01:09.4159385Z * [new tag] trunk/6c0b42fd2f2c070f4c7ef9a3914698726f61ef3a -> trunk/6c0b42fd2f2c070f4c7ef9a3914698726f61ef3a 2025-07-17T07:01:09.4160574Z * [new tag] trunk/6c24c6633a00608d8c20805a77fae55f6b8fe9a6 -> trunk/6c24c6633a00608d8c20805a77fae55f6b8fe9a6 2025-07-17T07:01:09.4161715Z * [new tag] trunk/6c42afe1964496e1b02be1442470f254e35eb199 -> trunk/6c42afe1964496e1b02be1442470f254e35eb199 2025-07-17T07:01:09.4162679Z * [new tag] trunk/6c5227ba00a2904365af566c24b4681cd01a041c -> trunk/6c5227ba00a2904365af566c24b4681cd01a041c 2025-07-17T07:01:09.4164167Z * [new tag] trunk/6c795306378c47341d58109da03371bba2bec46e -> trunk/6c795306378c47341d58109da03371bba2bec46e 2025-07-17T07:01:09.4165363Z * [new tag] trunk/6cc490d40b16b3be7ecc8943fe1bc594246caab3 -> trunk/6cc490d40b16b3be7ecc8943fe1bc594246caab3 2025-07-17T07:01:09.4166265Z * [new tag] trunk/6d02321472ee0761092166dd273eb3ec386cf0c0 -> trunk/6d02321472ee0761092166dd273eb3ec386cf0c0 2025-07-17T07:01:09.4167452Z * [new tag] trunk/6d2155db498375317e2101068a220439dba80939 -> trunk/6d2155db498375317e2101068a220439dba80939 2025-07-17T07:01:09.4168307Z * [new tag] trunk/6d3a4356f61b28a14abd95f641e2615deb186365 -> trunk/6d3a4356f61b28a14abd95f641e2615deb186365 2025-07-17T07:01:09.4169195Z * [new tag] trunk/6d5c789ad5f5d162426a5a10c84813ec923dd8ee -> trunk/6d5c789ad5f5d162426a5a10c84813ec923dd8ee 2025-07-17T07:01:09.4170737Z * [new tag] trunk/6dc2b22269f82a1feec06b5e3e79b184704cc0ba -> trunk/6dc2b22269f82a1feec06b5e3e79b184704cc0ba 2025-07-17T07:01:09.4171691Z * [new tag] trunk/6de41ce0f899604c3f8b33e1f8d37eb89b3a963e -> trunk/6de41ce0f899604c3f8b33e1f8d37eb89b3a963e 2025-07-17T07:01:09.4172813Z * [new tag] trunk/6defd5084e3fd330561095252c30ea50efa8e0ca -> trunk/6defd5084e3fd330561095252c30ea50efa8e0ca 2025-07-17T07:01:09.4173765Z * [new tag] trunk/6dfada220e4f46c28df3a6bdf57260ca0717c4bd -> trunk/6dfada220e4f46c28df3a6bdf57260ca0717c4bd 2025-07-17T07:01:09.4175117Z * [new tag] trunk/6e17315cd33892919dc6deb6a9ecb568dda6195e -> trunk/6e17315cd33892919dc6deb6a9ecb568dda6195e 2025-07-17T07:01:09.4176286Z * [new tag] trunk/6e185c53124e1b5a0fe391959060c1249178bcb6 -> trunk/6e185c53124e1b5a0fe391959060c1249178bcb6 2025-07-17T07:01:09.4177227Z * [new tag] trunk/6e2992a9984f2c3f6469564008c7e45869b84678 -> trunk/6e2992a9984f2c3f6469564008c7e45869b84678 2025-07-17T07:01:09.4178479Z * [new tag] trunk/6ea91f067256447cda6fae533f806c1f8baafbe2 -> trunk/6ea91f067256447cda6fae533f806c1f8baafbe2 2025-07-17T07:01:09.4179742Z * [new tag] trunk/6eb6f198e1a28e904ce00a132c43aa2536419664 -> trunk/6eb6f198e1a28e904ce00a132c43aa2536419664 2025-07-17T07:01:09.4180691Z * [new tag] trunk/6ebe9a4f47e9cd1c9ccd467bcdfdea9445fd98d6 -> trunk/6ebe9a4f47e9cd1c9ccd467bcdfdea9445fd98d6 2025-07-17T07:01:09.4181588Z * [new tag] trunk/6ed85bfe6a1704a87a492a3381414186eb439f5e -> trunk/6ed85bfe6a1704a87a492a3381414186eb439f5e 2025-07-17T07:01:09.4182759Z * [new tag] trunk/6ef70edd9a9acee76a607bdd22bac400c8e29434 -> trunk/6ef70edd9a9acee76a607bdd22bac400c8e29434 2025-07-17T07:01:09.4183903Z * [new tag] trunk/6f05d58f2b0bc4779fbed9db5b0f80af1c686dcd -> trunk/6f05d58f2b0bc4779fbed9db5b0f80af1c686dcd 2025-07-17T07:01:09.4184858Z * [new tag] trunk/6f23f53599629a47d6e097b2a027048658a142d4 -> trunk/6f23f53599629a47d6e097b2a027048658a142d4 2025-07-17T07:01:09.4185900Z * [new tag] trunk/6f60cfe9b1445271f8b83f58b4c4f12578d837d3 -> trunk/6f60cfe9b1445271f8b83f58b4c4f12578d837d3 2025-07-17T07:01:09.4187097Z * [new tag] trunk/6fb62931593fc10252e4994cd1a0595ebf8e990f -> trunk/6fb62931593fc10252e4994cd1a0595ebf8e990f 2025-07-17T07:01:09.4188227Z * [new tag] trunk/6fe7456aa1a2d025d1d06e15ba3896e6adba94b8 -> trunk/6fe7456aa1a2d025d1d06e15ba3896e6adba94b8 2025-07-17T07:01:09.4189426Z * [new tag] trunk/6ffa03ef9e18299f41da076f421abbd32e51e175 -> trunk/6ffa03ef9e18299f41da076f421abbd32e51e175 2025-07-17T07:01:09.4190376Z * [new tag] trunk/702a304b0785d2dfe3d9bd4eed535c38e969818d -> trunk/702a304b0785d2dfe3d9bd4eed535c38e969818d 2025-07-17T07:01:09.4191543Z * [new tag] trunk/706bc41c4c3caa2654a926382c2ef0ef4d0bc55e -> trunk/706bc41c4c3caa2654a926382c2ef0ef4d0bc55e 2025-07-17T07:01:09.4192399Z * [new tag] trunk/706e236b080cadd5b8a016e4bf972cdb0886d57b -> trunk/706e236b080cadd5b8a016e4bf972cdb0886d57b 2025-07-17T07:01:09.4193540Z * [new tag] trunk/7070ab318061d44f195a83b6dc11ef9299603dfe -> trunk/7070ab318061d44f195a83b6dc11ef9299603dfe 2025-07-17T07:01:09.4194519Z * [new tag] trunk/7081b8233a64c350c64e9f00c9b9d00e52020241 -> trunk/7081b8233a64c350c64e9f00c9b9d00e52020241 2025-07-17T07:01:09.4195746Z * [new tag] trunk/70b68caf58815419924ddeda231cbf6535181c53 -> trunk/70b68caf58815419924ddeda231cbf6535181c53 2025-07-17T07:01:09.4196841Z * [new tag] trunk/70bb34929aabc9c11d9ec9bbb53a4f9fc32e5e19 -> trunk/70bb34929aabc9c11d9ec9bbb53a4f9fc32e5e19 2025-07-17T07:01:09.4197773Z * [new tag] trunk/710b92cf3b577036d551708b351b4043817233f5 -> trunk/710b92cf3b577036d551708b351b4043817233f5 2025-07-17T07:01:09.4198966Z * [new tag] trunk/717a099d427d97a62c26fee58f9da9a0893d4233 -> trunk/717a099d427d97a62c26fee58f9da9a0893d4233 2025-07-17T07:01:09.4199954Z * [new tag] trunk/71a650ad565fe75ca752acbc8b40fb9ce677f40f -> trunk/71a650ad565fe75ca752acbc8b40fb9ce677f40f 2025-07-17T07:01:09.4201155Z * [new tag] trunk/720c2c46b181ad446bf970d70a27fd0ce149114d -> trunk/720c2c46b181ad446bf970d70a27fd0ce149114d 2025-07-17T07:01:09.4202195Z * [new tag] trunk/721d2580dbf9a4922adc1c7d1cc8237126d3cdd6 -> trunk/721d2580dbf9a4922adc1c7d1cc8237126d3cdd6 2025-07-17T07:01:09.4203126Z * [new tag] trunk/72453a66769294e93a183dfb5bdefa23de873d89 -> trunk/72453a66769294e93a183dfb5bdefa23de873d89 2025-07-17T07:01:09.4204333Z * [new tag] trunk/725c3272848c408d0fa2cba4de76affe90f793b5 -> trunk/725c3272848c408d0fa2cba4de76affe90f793b5 2025-07-17T07:01:09.4205256Z * [new tag] trunk/7275f280454f790414b24147a2ba7f94d0eabcf6 -> trunk/7275f280454f790414b24147a2ba7f94d0eabcf6 2025-07-17T07:01:09.4206495Z * [new tag] trunk/728cf6721e2996490922d0eacb23081953e45fc7 -> trunk/728cf6721e2996490922d0eacb23081953e45fc7 2025-07-17T07:01:09.4207436Z * [new tag] trunk/72c8751b61e0b2c7b88003a41ed737a65768063c -> trunk/72c8751b61e0b2c7b88003a41ed737a65768063c 2025-07-17T07:01:09.4208622Z * [new tag] trunk/731351bb4ac572fb47d46c70b7425c209c81570a -> trunk/731351bb4ac572fb47d46c70b7425c209c81570a 2025-07-17T07:01:09.4209582Z * [new tag] trunk/73220d52fd67b5f4f5b15e0e0433e09733c93f31 -> trunk/73220d52fd67b5f4f5b15e0e0433e09733c93f31 2025-07-17T07:01:09.4211231Z * [new tag] trunk/73772919d2db560c9cc8ed617c94c77450542a94 -> trunk/73772919d2db560c9cc8ed617c94c77450542a94 2025-07-17T07:01:09.4212026Z * [new tag] trunk/7381c777245a836f88e9622005c6ea16009a3a0d -> trunk/7381c777245a836f88e9622005c6ea16009a3a0d 2025-07-17T07:01:09.4213270Z * [new tag] trunk/7392470da4386e654f303eb526dfba7e7777b06b -> trunk/7392470da4386e654f303eb526dfba7e7777b06b 2025-07-17T07:01:09.4214432Z * [new tag] trunk/7444debaca7de16b2cf71d0cd82dc8998c3a73c4 -> trunk/7444debaca7de16b2cf71d0cd82dc8998c3a73c4 2025-07-17T07:01:09.4215401Z * [new tag] trunk/7485ef078f182af981b5f17d06602de68816492c -> trunk/7485ef078f182af981b5f17d06602de68816492c 2025-07-17T07:01:09.4216647Z * [new tag] trunk/749757ac1b66485459e751b0e58b5a7c64d5f561 -> trunk/749757ac1b66485459e751b0e58b5a7c64d5f561 2025-07-17T07:01:09.4217576Z * [new tag] trunk/74ebd8d14e0d612ed35557ab254a90facf73b029 -> trunk/74ebd8d14e0d612ed35557ab254a90facf73b029 2025-07-17T07:01:09.4218786Z * [new tag] trunk/7521cd91118c1c1a55b8f7146d7e22bf60fe06bf -> trunk/7521cd91118c1c1a55b8f7146d7e22bf60fe06bf 2025-07-17T07:01:09.4219827Z * [new tag] trunk/752f202ef3445d2e28e2abeb6feed56eee9da5a9 -> trunk/752f202ef3445d2e28e2abeb6feed56eee9da5a9 2025-07-17T07:01:09.4221031Z * [new tag] trunk/7531bd64911774fc2656f290601834d5d02d3925 -> trunk/7531bd64911774fc2656f290601834d5d02d3925 2025-07-17T07:01:09.4221970Z * [new tag] trunk/754699610b0abec2fe3f5a73269b1dd09a330445 -> trunk/754699610b0abec2fe3f5a73269b1dd09a330445 2025-07-17T07:01:09.4223142Z * [new tag] trunk/754c04aa062d8f3c0449aec4bbcaab00bfca4bf2 -> trunk/754c04aa062d8f3c0449aec4bbcaab00bfca4bf2 2025-07-17T07:01:09.4224068Z * [new tag] trunk/75824035d392595de3bd0b8588e63c2fc6d09139 -> trunk/75824035d392595de3bd0b8588e63c2fc6d09139 2025-07-17T07:01:09.4224939Z * [new tag] trunk/7597988f1b5a41c0b91d379e0ce51111fd7cc95a -> trunk/7597988f1b5a41c0b91d379e0ce51111fd7cc95a 2025-07-17T07:01:09.4226339Z * [new tag] trunk/7599bebead35dd21bad3d3e85f62f400ad2c3139 -> trunk/7599bebead35dd21bad3d3e85f62f400ad2c3139 2025-07-17T07:01:09.4227212Z * [new tag] trunk/75a7d9e86842b57f9001a0fa6fd716927614dbf9 -> trunk/75a7d9e86842b57f9001a0fa6fd716927614dbf9 2025-07-17T07:01:09.4228428Z * [new tag] trunk/75f258dd1feeb90b8084849155e049fb57ba3521 -> trunk/75f258dd1feeb90b8084849155e049fb57ba3521 2025-07-17T07:01:09.4229350Z * [new tag] trunk/75f3e5a88df60caef27fd9c9df3fd51161378fcc -> trunk/75f3e5a88df60caef27fd9c9df3fd51161378fcc 2025-07-17T07:01:09.4230485Z * [new tag] trunk/75f489d37f048ec8a9106163ca16201156f05499 -> trunk/75f489d37f048ec8a9106163ca16201156f05499 2025-07-17T07:01:09.4231622Z * [new tag] trunk/764c02b78b935ba61c46277cb7409e6419460058 -> trunk/764c02b78b935ba61c46277cb7409e6419460058 2025-07-17T07:01:09.4232604Z * [new tag] trunk/76644c9ff58285c95764ffd27d629df219aab140 -> trunk/76644c9ff58285c95764ffd27d629df219aab140 2025-07-17T07:01:09.4233721Z * [new tag] trunk/769d754ab2469813a3b790ec58c25c466099dd3d -> trunk/769d754ab2469813a3b790ec58c25c466099dd3d 2025-07-17T07:01:09.4235174Z * [new tag] trunk/76ca23c41c7edcf7b4c60ff6162eedcdf06ef359 -> trunk/76ca23c41c7edcf7b4c60ff6162eedcdf06ef359 2025-07-17T07:01:09.4236042Z * [new tag] trunk/76d07e919f66c24a55746bbc060c14b3df02ffa8 -> trunk/76d07e919f66c24a55746bbc060c14b3df02ffa8 2025-07-17T07:01:09.4237194Z * [new tag] trunk/76fe88fa56c8aac7377127fb5553de94e16e9070 -> trunk/76fe88fa56c8aac7377127fb5553de94e16e9070 2025-07-17T07:01:09.4238142Z * [new tag] trunk/770285522805745959221b902f23776a13d56df8 -> trunk/770285522805745959221b902f23776a13d56df8 2025-07-17T07:01:09.4239283Z * [new tag] trunk/7709ff55123dbdcaaa44004738fb767324f05dbd -> trunk/7709ff55123dbdcaaa44004738fb767324f05dbd 2025-07-17T07:01:09.4240250Z * [new tag] trunk/771be857043bf794cd219a9b925e308e31f12314 -> trunk/771be857043bf794cd219a9b925e308e31f12314 2025-07-17T07:01:09.4242170Z * [new tag] trunk/772d5904152abc9702bf49037e46ab6203b83f55 -> trunk/772d5904152abc9702bf49037e46ab6203b83f55 2025-07-17T07:01:09.4243115Z * [new tag] trunk/77518d1a13cc105637814bc157387478384dc897 -> trunk/77518d1a13cc105637814bc157387478384dc897 2025-07-17T07:01:09.4244155Z * [new tag] trunk/77676753ecabf6a6645bdd3abfe01939e5751e76 -> trunk/77676753ecabf6a6645bdd3abfe01939e5751e76 2025-07-17T07:01:09.4245472Z * [new tag] trunk/777eca9f16aeecd7c362a235cf25e6b8e6eda57f -> trunk/777eca9f16aeecd7c362a235cf25e6b8e6eda57f 2025-07-17T07:01:09.4246447Z * [new tag] trunk/77ac3a096532ee08211dae38c2a9336c970d1785 -> trunk/77ac3a096532ee08211dae38c2a9336c970d1785 2025-07-17T07:01:09.4247585Z * [new tag] trunk/77f884c2ec62df9df930ae86e9b8437364900346 -> trunk/77f884c2ec62df9df930ae86e9b8437364900346 2025-07-17T07:01:09.4248537Z * [new tag] trunk/783a4c1f5002bf1749833821c450360a417d40c7 -> trunk/783a4c1f5002bf1749833821c450360a417d40c7 2025-07-17T07:01:09.4249701Z * [new tag] trunk/78684e27ace1ebd51ccc93d4b6b8a6a3ec3b4c14 -> trunk/78684e27ace1ebd51ccc93d4b6b8a6a3ec3b4c14 2025-07-17T07:01:09.4250846Z * [new tag] trunk/78ee2ee90eed957aec3dc80423b108b16938a8ae -> trunk/78ee2ee90eed957aec3dc80423b108b16938a8ae 2025-07-17T07:01:09.4251766Z * [new tag] trunk/7918978653ff4f21c284b34809acf88784deb0de -> trunk/7918978653ff4f21c284b34809acf88784deb0de 2025-07-17T07:01:09.4252915Z * [new tag] trunk/794b95d54bb2c49d704169ddb777acfd8da8cfad -> trunk/794b95d54bb2c49d704169ddb777acfd8da8cfad 2025-07-17T07:01:09.4253896Z * [new tag] trunk/794ef6c9b8f173a0cbab5288efb2d68aef9c90b9 -> trunk/794ef6c9b8f173a0cbab5288efb2d68aef9c90b9 2025-07-17T07:01:09.4254860Z * [new tag] trunk/795a6a0affd349adfb4e3df298b604b74f27b44e -> trunk/795a6a0affd349adfb4e3df298b604b74f27b44e 2025-07-17T07:01:09.4255643Z * [new tag] trunk/7982b8c703e24a36c0e0a01b8cf22cd272369b28 -> trunk/7982b8c703e24a36c0e0a01b8cf22cd272369b28 2025-07-17T07:01:09.4256853Z * [new tag] trunk/7986c0dba6e1044d90b7f607f9cca15922339bb4 -> trunk/7986c0dba6e1044d90b7f607f9cca15922339bb4 2025-07-17T07:01:09.4258007Z * [new tag] trunk/799443605bffbd0d80fb3f2edbfe5517e0e2b4a3 -> trunk/799443605bffbd0d80fb3f2edbfe5517e0e2b4a3 2025-07-17T07:01:09.4258941Z * [new tag] trunk/7999735d23aeca844d4a7b23de6ac2370767099a -> trunk/7999735d23aeca844d4a7b23de6ac2370767099a 2025-07-17T07:01:09.4260216Z * [new tag] trunk/79ab84e9b8fe561a55931b2108af45993a670276 -> trunk/79ab84e9b8fe561a55931b2108af45993a670276 2025-07-17T07:01:09.4261491Z * [new tag] trunk/79aef141695f2daea4a9aeb0f385726c5794a242 -> trunk/79aef141695f2daea4a9aeb0f385726c5794a242 2025-07-17T07:01:09.4262458Z * [new tag] trunk/79bdafe5b61f6f073dcd276e135076ff3277a951 -> trunk/79bdafe5b61f6f073dcd276e135076ff3277a951 2025-07-17T07:01:09.4263740Z * [new tag] trunk/79d7c754ab8ae0e5c3a614521632d2cfbfa0fdba -> trunk/79d7c754ab8ae0e5c3a614521632d2cfbfa0fdba 2025-07-17T07:01:09.4264681Z * [new tag] trunk/7a03b0d2ca3946b770bc817571fc36bd5c608b38 -> trunk/7a03b0d2ca3946b770bc817571fc36bd5c608b38 2025-07-17T07:01:09.4265762Z * [new tag] trunk/7a08755c5f3630150c50d09e16c0abf9501dea1e -> trunk/7a08755c5f3630150c50d09e16c0abf9501dea1e 2025-07-17T07:01:09.4267167Z * [new tag] trunk/7a41f207943cc6c88160d7a531fc57bdbe149253 -> trunk/7a41f207943cc6c88160d7a531fc57bdbe149253 2025-07-17T07:01:09.4268113Z * [new tag] trunk/7a48cc699006879a6ec185ac5bd4eaad0c0b7e36 -> trunk/7a48cc699006879a6ec185ac5bd4eaad0c0b7e36 2025-07-17T07:01:09.4269192Z * [new tag] trunk/7a92b5119654c07d15f5c0818e6ae804b01e836c -> trunk/7a92b5119654c07d15f5c0818e6ae804b01e836c 2025-07-17T07:01:09.4270490Z * [new tag] trunk/7ae7c1414354ad225c4a36b3228e30a2baf94923 -> trunk/7ae7c1414354ad225c4a36b3228e30a2baf94923 2025-07-17T07:01:09.4271623Z * [new tag] trunk/7afb834f939eccbb3262e646f0922eed070074a7 -> trunk/7afb834f939eccbb3262e646f0922eed070074a7 2025-07-17T07:01:09.4272602Z * [new tag] trunk/7b0118884e0855e4918af53d44c3fbfc185a1ee9 -> trunk/7b0118884e0855e4918af53d44c3fbfc185a1ee9 2025-07-17T07:01:09.4273798Z * [new tag] trunk/7b392bac13a8007d1e0c6c789aa9bc515119faba -> trunk/7b392bac13a8007d1e0c6c789aa9bc515119faba 2025-07-17T07:01:09.4275100Z * [new tag] trunk/7b7cd56f5e2a965ae8a48c69441dd4f58bf68ceb -> trunk/7b7cd56f5e2a965ae8a48c69441dd4f58bf68ceb 2025-07-17T07:01:09.4276048Z * [new tag] trunk/7be862ab8f2b9040b34c58e1b77ce74c2512f062 -> trunk/7be862ab8f2b9040b34c58e1b77ce74c2512f062 2025-07-17T07:01:09.4277256Z * [new tag] trunk/7c1f62782875a4ac70b96aed0e6c9525b6e4eaf3 -> trunk/7c1f62782875a4ac70b96aed0e6c9525b6e4eaf3 2025-07-17T07:01:09.4278238Z * [new tag] trunk/7c51619e7fbd346e2299255c468cc43bd69425d7 -> trunk/7c51619e7fbd346e2299255c468cc43bd69425d7 2025-07-17T07:01:09.4279435Z * [new tag] trunk/7caf6c801ddfaf556a3ca191173b50002c4261f4 -> trunk/7caf6c801ddfaf556a3ca191173b50002c4261f4 2025-07-17T07:01:09.4280627Z * [new tag] trunk/7cda4017ddda554752e89069ae205be5e8388f59 -> trunk/7cda4017ddda554752e89069ae205be5e8388f59 2025-07-17T07:01:09.4282372Z * [new tag] trunk/7cf31b4a426f3791af30159cea420687f347cd7a -> trunk/7cf31b4a426f3791af30159cea420687f347cd7a 2025-07-17T07:01:09.4283367Z * [new tag] trunk/7cf38d2a0521c5ca292a720bce00617be749a0e7 -> trunk/7cf38d2a0521c5ca292a720bce00617be749a0e7 2025-07-17T07:01:09.4284597Z * [new tag] trunk/7cfd054075b0713642fab8dc4313fc1e5d992599 -> trunk/7cfd054075b0713642fab8dc4313fc1e5d992599 2025-07-17T07:01:09.4285925Z * [new tag] trunk/7d1b3f599d6968a3efe70b7401310e3127949f13 -> trunk/7d1b3f599d6968a3efe70b7401310e3127949f13 2025-07-17T07:01:09.4287219Z * [new tag] trunk/7d4228dbfd13d1ac8fac2c78c042dbb8314f042d -> trunk/7d4228dbfd13d1ac8fac2c78c042dbb8314f042d 2025-07-17T07:01:09.4288420Z * [new tag] trunk/7dcc77e422dcf97ce35991a138ab635a5cb88731 -> trunk/7dcc77e422dcf97ce35991a138ab635a5cb88731 2025-07-17T07:01:09.4289376Z * [new tag] trunk/7e433d5f423248914c5e9838d3ea145db7964923 -> trunk/7e433d5f423248914c5e9838d3ea145db7964923 2025-07-17T07:01:09.4290532Z * [new tag] trunk/7e4c097b0752ae79a8b5dd1de21a51aaafba2ef9 -> trunk/7e4c097b0752ae79a8b5dd1de21a51aaafba2ef9 2025-07-17T07:01:09.4291528Z * [new tag] trunk/7e54c02a35b905e758497b856a1953eb009ba836 -> trunk/7e54c02a35b905e758497b856a1953eb009ba836 2025-07-17T07:01:09.4293855Z * [new tag] trunk/7e83d5084588bdb51151f869b53c92c07bc9f544 -> trunk/7e83d5084588bdb51151f869b53c92c07bc9f544 2025-07-17T07:01:09.4294807Z * [new tag] trunk/7f0cddfb55d426b414cf7b4482c6a371618b349c -> trunk/7f0cddfb55d426b414cf7b4482c6a371618b349c 2025-07-17T07:01:09.4295765Z * [new tag] trunk/7f14b42adf70196d82340c59a9981ffcadf0c53c -> trunk/7f14b42adf70196d82340c59a9981ffcadf0c53c 2025-07-17T07:01:09.4296942Z * [new tag] trunk/7f6e7103a3aefd2d96b3cc6702be931a66b44977 -> trunk/7f6e7103a3aefd2d96b3cc6702be931a66b44977 2025-07-17T07:01:09.4297905Z * [new tag] trunk/7f9fc7e67ce9853a1bb4b16c901c708f78c1c5cd -> trunk/7f9fc7e67ce9853a1bb4b16c901c708f78c1c5cd 2025-07-17T07:01:09.4298898Z * [new tag] trunk/7fcad0231cb0ae9ba6a0004098b5ffd82c62858f -> trunk/7fcad0231cb0ae9ba6a0004098b5ffd82c62858f 2025-07-17T07:01:09.4300212Z * [new tag] trunk/805297981ae4e2aa08d133161477a477f5da274f -> trunk/805297981ae4e2aa08d133161477a477f5da274f 2025-07-17T07:01:09.4301387Z * [new tag] trunk/8088958793841191eba1faf98849904ee769bbfd -> trunk/8088958793841191eba1faf98849904ee769bbfd 2025-07-17T07:01:09.4302663Z * [new tag] trunk/80bcaa4195944d0f00f16abcbb702bde4d582d14 -> trunk/80bcaa4195944d0f00f16abcbb702bde4d582d14 2025-07-17T07:01:09.4303813Z * [new tag] trunk/80d89974c173c9d7a2c59fe9dfce2fe1301e2833 -> trunk/80d89974c173c9d7a2c59fe9dfce2fe1301e2833 2025-07-17T07:01:09.4304762Z * [new tag] trunk/8134684d44f3f9d09e775f3adc513bdef72245c9 -> trunk/8134684d44f3f9d09e775f3adc513bdef72245c9 2025-07-17T07:01:09.4305908Z * [new tag] trunk/8142a0286016e63a0e91b5667e1fb1a5e868ffd7 -> trunk/8142a0286016e63a0e91b5667e1fb1a5e868ffd7 2025-07-17T07:01:09.4306834Z * [new tag] trunk/8147c4a9044913e62ba3aab7f1eaaafead4f5930 -> trunk/8147c4a9044913e62ba3aab7f1eaaafead4f5930 2025-07-17T07:01:09.4307957Z * [new tag] trunk/8153340d1073c190ecf221e51abbd983286782a8 -> trunk/8153340d1073c190ecf221e51abbd983286782a8 2025-07-17T07:01:09.4309083Z * [new tag] trunk/815545f2dd6ade563cb1263f8bb7813f355edb2e -> trunk/815545f2dd6ade563cb1263f8bb7813f355edb2e 2025-07-17T07:01:09.4310005Z * [new tag] trunk/81759afed4fa4fa3a03f9ff671abe270679cc006 -> trunk/81759afed4fa4fa3a03f9ff671abe270679cc006 2025-07-17T07:01:09.4311139Z * [new tag] trunk/8186af5a26bc6a628f283c4791c8d68ef6fa1336 -> trunk/8186af5a26bc6a628f283c4791c8d68ef6fa1336 2025-07-17T07:01:09.4312098Z * [new tag] trunk/81b0b308cafae44339b8a123e8b1bec3bf9eb8ad -> trunk/81b0b308cafae44339b8a123e8b1bec3bf9eb8ad 2025-07-17T07:01:09.4313046Z * [new tag] trunk/81bf278537c081279a574157e1359ec7f0b65daf -> trunk/81bf278537c081279a574157e1359ec7f0b65daf 2025-07-17T07:01:09.4314200Z * [new tag] trunk/81c7445eb97f910ed89da9b11140d914651a1675 -> trunk/81c7445eb97f910ed89da9b11140d914651a1675 2025-07-17T07:01:09.4315192Z * [new tag] trunk/82672206b724a767dcb8c2541074449100de701b -> trunk/82672206b724a767dcb8c2541074449100de701b 2025-07-17T07:01:09.4316013Z * [new tag] trunk/826f12b829070e3d5bfd050f001b61aaf78e5447 -> trunk/826f12b829070e3d5bfd050f001b61aaf78e5447 2025-07-17T07:01:09.4317201Z * [new tag] trunk/82765dad16d7cda1ea382497dbf8c1ab2d07bfdd -> trunk/82765dad16d7cda1ea382497dbf8c1ab2d07bfdd 2025-07-17T07:01:09.4318382Z * [new tag] trunk/82a1ee1135b054d371d10081883b848ac7b7419f -> trunk/82a1ee1135b054d371d10081883b848ac7b7419f 2025-07-17T07:01:09.4319293Z * [new tag] trunk/82e6475d920991ef3be5d5637a72bf49313cc604 -> trunk/82e6475d920991ef3be5d5637a72bf49313cc604 2025-07-17T07:01:09.4320155Z * [new tag] trunk/82eefaedd98b63de8a87e34275af781f8eb177e1 -> trunk/82eefaedd98b63de8a87e34275af781f8eb177e1 2025-07-17T07:01:09.4321413Z * [new tag] trunk/82fb904140d258604a185154287b9c6fde047fc5 -> trunk/82fb904140d258604a185154287b9c6fde047fc5 2025-07-17T07:01:09.4322319Z * [new tag] trunk/830a335a7da5fec00395d440ba568749cb4e2e9e -> trunk/830a335a7da5fec00395d440ba568749cb4e2e9e 2025-07-17T07:01:09.4323402Z * [new tag] trunk/831c9010c7d7460fd78bc59b3fa28a65a0339e5d -> trunk/831c9010c7d7460fd78bc59b3fa28a65a0339e5d 2025-07-17T07:01:09.4324377Z * [new tag] trunk/8347268edcf3cc4f638474d860450bb0cd7a9908 -> trunk/8347268edcf3cc4f638474d860450bb0cd7a9908 2025-07-17T07:01:09.4325505Z * [new tag] trunk/836bb1941b593063f002394c1de3ec382c2ce50e -> trunk/836bb1941b593063f002394c1de3ec382c2ce50e 2025-07-17T07:01:09.4326615Z * [new tag] trunk/83700b448874cac8e89356ab06292e4289577269 -> trunk/83700b448874cac8e89356ab06292e4289577269 2025-07-17T07:01:09.4327581Z * [new tag] trunk/8372d0986a495d41f41c5d7684f1428ff847c699 -> trunk/8372d0986a495d41f41c5d7684f1428ff847c699 2025-07-17T07:01:09.4329097Z * [new tag] trunk/838798425731e6c90df4a885e90ec03f18eea10b -> trunk/838798425731e6c90df4a885e90ec03f18eea10b 2025-07-17T07:01:09.4329875Z * [new tag] trunk/83d22256f84232c5440b25a08459c649a32b9a4f -> trunk/83d22256f84232c5440b25a08459c649a32b9a4f 2025-07-17T07:01:09.4331031Z * [new tag] trunk/84085229765698166f07c9220d5544023ab80d47 -> trunk/84085229765698166f07c9220d5544023ab80d47 2025-07-17T07:01:09.4331964Z * [new tag] trunk/8485f1950710d383fd8d0d772fc978933c6fc175 -> trunk/8485f1950710d383fd8d0d772fc978933c6fc175 2025-07-17T07:01:09.4333160Z * [new tag] trunk/84b77ec1280a56bece8408a2e0e179b9eb95e1e2 -> trunk/84b77ec1280a56bece8408a2e0e179b9eb95e1e2 2025-07-17T07:01:09.4334286Z * [new tag] trunk/84c14361c28e1b553ea405ef5020cf0a90468850 -> trunk/84c14361c28e1b553ea405ef5020cf0a90468850 2025-07-17T07:01:09.4335232Z * [new tag] trunk/84c588e5eada9e7921608065edc444a15c22cb1c -> trunk/84c588e5eada9e7921608065edc444a15c22cb1c 2025-07-17T07:01:09.4336364Z * [new tag] trunk/84dec060b79078e68dcb6be1e7f308dad05d00e2 -> trunk/84dec060b79078e68dcb6be1e7f308dad05d00e2 2025-07-17T07:01:09.4337310Z * [new tag] trunk/85111cd165f108ffabb4a90083d59d7a867ebd9f -> trunk/85111cd165f108ffabb4a90083d59d7a867ebd9f 2025-07-17T07:01:09.4338453Z * [new tag] trunk/851a6fa82df251fbc368f0284d941ce78f68e7b1 -> trunk/851a6fa82df251fbc368f0284d941ce78f68e7b1 2025-07-17T07:01:09.4339317Z * [new tag] trunk/85320336799e38411d15c0e159b41248cda01218 -> trunk/85320336799e38411d15c0e159b41248cda01218 2025-07-17T07:01:09.4340820Z * [new tag] trunk/8554c8007ddaa8029e7e01bb1af12f358bf597c2 -> trunk/8554c8007ddaa8029e7e01bb1af12f358bf597c2 2025-07-17T07:01:09.4341918Z * [new tag] trunk/85857181ebca86e9c709e9922a9d9ef41a9c4ef9 -> trunk/85857181ebca86e9c709e9922a9d9ef41a9c4ef9 2025-07-17T07:01:09.4342966Z * [new tag] trunk/85df746892d9b0e87e7a5dfa78ef81a84aec6de0 -> trunk/85df746892d9b0e87e7a5dfa78ef81a84aec6de0 2025-07-17T07:01:09.4343933Z * [new tag] trunk/86251eff4069c468efebdb481dd18fe8d42856f0 -> trunk/86251eff4069c468efebdb481dd18fe8d42856f0 2025-07-17T07:01:09.4344919Z * [new tag] trunk/863327ae496471654344e1e04ccaa713a44a135d -> trunk/863327ae496471654344e1e04ccaa713a44a135d 2025-07-17T07:01:09.4346050Z * [new tag] trunk/86670b39fa3df63a652a9a06b59b73f92d70c392 -> trunk/86670b39fa3df63a652a9a06b59b73f92d70c392 2025-07-17T07:01:09.4347458Z * [new tag] trunk/86996c15dc4294c400c3a552d1a9e8e90aa6c7f6 -> trunk/86996c15dc4294c400c3a552d1a9e8e90aa6c7f6 2025-07-17T07:01:09.4348417Z * [new tag] trunk/86ced144534c2c78460a2d0f1d9ed2ba048f2514 -> trunk/86ced144534c2c78460a2d0f1d9ed2ba048f2514 2025-07-17T07:01:09.4349517Z * [new tag] trunk/86d8af6a6cc648134289de89d393d0dce5b3a5f4 -> trunk/86d8af6a6cc648134289de89d393d0dce5b3a5f4 2025-07-17T07:01:09.4350658Z * [new tag] trunk/86eaf452c330bd871262b7590ff8bd1bf432e2d7 -> trunk/86eaf452c330bd871262b7590ff8bd1bf432e2d7 2025-07-17T07:01:09.4351818Z * [new tag] trunk/87d615efab194482a00d241e4d9aebc513635cf5 -> trunk/87d615efab194482a00d241e4d9aebc513635cf5 2025-07-17T07:01:09.4353267Z * [new tag] trunk/8823138e47a3200c313f6bf2d21eb689d8150f39 -> trunk/8823138e47a3200c313f6bf2d21eb689d8150f39 2025-07-17T07:01:09.4354174Z * [new tag] trunk/8892b782a85b9de9f51334e65e009b3d59899b02 -> trunk/8892b782a85b9de9f51334e65e009b3d59899b02 2025-07-17T07:01:09.4355384Z * [new tag] trunk/88b9c285e0eb68134c5f834ceccdb99bc1d255d0 -> trunk/88b9c285e0eb68134c5f834ceccdb99bc1d255d0 2025-07-17T07:01:09.4356451Z * [new tag] trunk/88c6199db09372b6e2d55a5349ab545527842727 -> trunk/88c6199db09372b6e2d55a5349ab545527842727 2025-07-17T07:01:09.4357423Z * [new tag] trunk/88cd9f34b00c22e4edefa223490fcdd6c4ff272a -> trunk/88cd9f34b00c22e4edefa223490fcdd6c4ff272a 2025-07-17T07:01:09.4358408Z * [new tag] trunk/898179331e82e5ee1ff64737f508fd6a6da711f9 -> trunk/898179331e82e5ee1ff64737f508fd6a6da711f9 2025-07-17T07:01:09.4359942Z * [new tag] trunk/899d3d3e9eec4756a2e759f0203334dbe08f664e -> trunk/899d3d3e9eec4756a2e759f0203334dbe08f664e 2025-07-17T07:01:09.4360886Z * [new tag] trunk/8a2255130025abc80e03adaeb0b90d6463f2f916 -> trunk/8a2255130025abc80e03adaeb0b90d6463f2f916 2025-07-17T07:01:09.4361753Z * [new tag] trunk/8a396c56350ade97c18a6e13b3d97939f1eea075 -> trunk/8a396c56350ade97c18a6e13b3d97939f1eea075 2025-07-17T07:01:09.4362902Z * [new tag] trunk/8a47f9d03be0e0118a43443ff5f60db7be85102b -> trunk/8a47f9d03be0e0118a43443ff5f60db7be85102b 2025-07-17T07:01:09.4363839Z * [new tag] trunk/8a88c6e85abe345d95d970d424a0295cbc89b69c -> trunk/8a88c6e85abe345d95d970d424a0295cbc89b69c 2025-07-17T07:01:09.4365000Z * [new tag] trunk/8a8fac11318778aa5e4479b369b37fdb9e10ec17 -> trunk/8a8fac11318778aa5e4479b369b37fdb9e10ec17 2025-07-17T07:01:09.4366200Z * [new tag] trunk/8ad6197b466e91eb5fbbde2c76688d40fa472ac3 -> trunk/8ad6197b466e91eb5fbbde2c76688d40fa472ac3 2025-07-17T07:01:09.4367129Z * [new tag] trunk/8b0e0e4f2301f4aeb9fccf52cd2c6d8ac13da131 -> trunk/8b0e0e4f2301f4aeb9fccf52cd2c6d8ac13da131 2025-07-17T07:01:09.4368301Z * [new tag] trunk/8b68e5b1bb4a0014a64eab25c54b716968e109a9 -> trunk/8b68e5b1bb4a0014a64eab25c54b716968e109a9 2025-07-17T07:01:09.4369204Z * [new tag] trunk/8b8684466a11ae6ac27c85dbc6a02091dadac749 -> trunk/8b8684466a11ae6ac27c85dbc6a02091dadac749 2025-07-17T07:01:09.4370571Z * [new tag] trunk/8b97e4dd8cbe23101801043fe343d7350e527540 -> trunk/8b97e4dd8cbe23101801043fe343d7350e527540 2025-07-17T07:01:09.4371775Z * [new tag] trunk/8bda95228fbefa6ce204bf4da8b632d1516431bb -> trunk/8bda95228fbefa6ce204bf4da8b632d1516431bb 2025-07-17T07:01:09.4372887Z * [new tag] trunk/8c0df6fe1769c813f57da766528ff3cc4e56943e -> trunk/8c0df6fe1769c813f57da766528ff3cc4e56943e 2025-07-17T07:01:09.4374001Z * [new tag] trunk/8c2e45008282cf5202b72a0ecb0c2951438abeea -> trunk/8c2e45008282cf5202b72a0ecb0c2951438abeea 2025-07-17T07:01:09.4375206Z * [new tag] trunk/8c3f206457a1b9d75bc95a6c30a101135fcee329 -> trunk/8c3f206457a1b9d75bc95a6c30a101135fcee329 2025-07-17T07:01:09.4376340Z * [new tag] trunk/8c5b070d1f7cf4a9b58b09a28a0aeb5fdca28679 -> trunk/8c5b070d1f7cf4a9b58b09a28a0aeb5fdca28679 2025-07-17T07:01:09.4377248Z * [new tag] trunk/8c928372b3560bb512e2cf98c94efd923caf5fa7 -> trunk/8c928372b3560bb512e2cf98c94efd923caf5fa7 2025-07-17T07:01:09.4378390Z * [new tag] trunk/8cb0c4a4da0e017834d63f3d7dc2ab29e0ad6424 -> trunk/8cb0c4a4da0e017834d63f3d7dc2ab29e0ad6424 2025-07-17T07:01:09.4379357Z * [new tag] trunk/8d070187e34d5474ae88cefe56754f729138756b -> trunk/8d070187e34d5474ae88cefe56754f729138756b 2025-07-17T07:01:09.4380393Z * [new tag] trunk/8d7ee0f4fb7e41e8a49a5a24b6686b2324c493ba -> trunk/8d7ee0f4fb7e41e8a49a5a24b6686b2324c493ba 2025-07-17T07:01:09.4381576Z * [new tag] trunk/8da774d81feace041ff39de4ba2ddd43086370d3 -> trunk/8da774d81feace041ff39de4ba2ddd43086370d3 2025-07-17T07:01:09.4382520Z * [new tag] trunk/8dff457f42c9a20f9936d22773239df33cb48c9d -> trunk/8dff457f42c9a20f9936d22773239df33cb48c9d 2025-07-17T07:01:09.4383663Z * [new tag] trunk/8e02cd9c5ab151faad80e18e648c82a204fc3735 -> trunk/8e02cd9c5ab151faad80e18e648c82a204fc3735 2025-07-17T07:01:09.4384621Z * [new tag] trunk/8e8bbfc80340f0bf0a31a03d61b9b4dd72a40469 -> trunk/8e8bbfc80340f0bf0a31a03d61b9b4dd72a40469 2025-07-17T07:01:09.4385479Z * [new tag] trunk/8e8d4b13b0f6358e249a1e6fea9831b91b41b6d0 -> trunk/8e8d4b13b0f6358e249a1e6fea9831b91b41b6d0 2025-07-17T07:01:09.4386720Z * [new tag] trunk/8eaa9f2701277f328d9d6aea1bfe7cba20792f7c -> trunk/8eaa9f2701277f328d9d6aea1bfe7cba20792f7c 2025-07-17T07:01:09.4387873Z * [new tag] trunk/8eb3c5b7a18205974fff0353b97e599ea3d0e2a4 -> trunk/8eb3c5b7a18205974fff0353b97e599ea3d0e2a4 2025-07-17T07:01:09.4388844Z * [new tag] trunk/8f02161d1012143263fdbca47ee62983448e2c7e -> trunk/8f02161d1012143263fdbca47ee62983448e2c7e 2025-07-17T07:01:09.4390026Z * [new tag] trunk/8f0998aafe5e9594ade50cd263d5c63a5aad9333 -> trunk/8f0998aafe5e9594ade50cd263d5c63a5aad9333 2025-07-17T07:01:09.4391180Z * [new tag] trunk/8f5f01bf19e01f4b74add7f3d558966152a398c7 -> trunk/8f5f01bf19e01f4b74add7f3d558966152a398c7 2025-07-17T07:01:09.4392176Z * [new tag] trunk/8f9a191db6efcf44510db87c8f6f6e96c67e9b11 -> trunk/8f9a191db6efcf44510db87c8f6f6e96c67e9b11 2025-07-17T07:01:09.4393314Z * [new tag] trunk/8fcda2c60d974e4970ce939bc828bece9903c304 -> trunk/8fcda2c60d974e4970ce939bc828bece9903c304 2025-07-17T07:01:09.4394150Z * [new tag] trunk/900fba4c073b121b6c9ce581ea27e25c13a354e5 -> trunk/900fba4c073b121b6c9ce581ea27e25c13a354e5 2025-07-17T07:01:09.4395407Z * [new tag] trunk/9056279f8159b052599a31b591a78da1acc4224c -> trunk/9056279f8159b052599a31b591a78da1acc4224c 2025-07-17T07:01:09.4396569Z * [new tag] trunk/905b0846903a0193ee651a44762e72c881f83950 -> trunk/905b0846903a0193ee651a44762e72c881f83950 2025-07-17T07:01:09.4397667Z * [new tag] trunk/905b194a2e3d1d1c9ec136dfc1b6be7e62ff4b2c -> trunk/905b194a2e3d1d1c9ec136dfc1b6be7e62ff4b2c 2025-07-17T07:01:09.4398613Z * [new tag] trunk/90618581e971d28ac6950305d72521af05ed3a42 -> trunk/90618581e971d28ac6950305d72521af05ed3a42 2025-07-17T07:01:09.4399788Z * [new tag] trunk/907aea032d2f709f26dec78b762481c4604cc186 -> trunk/907aea032d2f709f26dec78b762481c4604cc186 2025-07-17T07:01:09.4400765Z * [new tag] trunk/907d0931cc8868164c2890b0452eda5d4da49278 -> trunk/907d0931cc8868164c2890b0452eda5d4da49278 2025-07-17T07:01:09.4402019Z * [new tag] trunk/90b973a2e228f2a5e2c158e5f5cf8f59d9118fc8 -> trunk/90b973a2e228f2a5e2c158e5f5cf8f59d9118fc8 2025-07-17T07:01:09.4402974Z * [new tag] trunk/91ee9ee82d40bcc36afbe9fed8dfc2f8c19c7316 -> trunk/91ee9ee82d40bcc36afbe9fed8dfc2f8c19c7316 2025-07-17T07:01:09.4404268Z * [new tag] trunk/9222552572890fd7ff1d75884cc6a99a55ab90bc -> trunk/9222552572890fd7ff1d75884cc6a99a55ab90bc 2025-07-17T07:01:09.4405200Z * [new tag] trunk/92388bb2ab14dae7b63c2088de4d6add413d1c27 -> trunk/92388bb2ab14dae7b63c2088de4d6add413d1c27 2025-07-17T07:01:09.4406490Z * [new tag] trunk/92409b6c89fbfbd3caa79c81b1e3d9e7917d3bc7 -> trunk/92409b6c89fbfbd3caa79c81b1e3d9e7917d3bc7 2025-07-17T07:01:09.4407414Z * [new tag] trunk/924fc52e1842de756a7632e7b2777aeed77d60e5 -> trunk/924fc52e1842de756a7632e7b2777aeed77d60e5 2025-07-17T07:01:09.4408582Z * [new tag] trunk/925fbfca27580f2ec8d5f9bfd549b1fe2e665617 -> trunk/925fbfca27580f2ec8d5f9bfd549b1fe2e665617 2025-07-17T07:01:09.4409540Z * [new tag] trunk/92b7ed6d07fcd6af31cddc7b4276e626b023bd0b -> trunk/92b7ed6d07fcd6af31cddc7b4276e626b023bd0b 2025-07-17T07:01:09.4410735Z * [new tag] trunk/92c79f36dbbdb01e0aab6efb8f52df828e1046d5 -> trunk/92c79f36dbbdb01e0aab6efb8f52df828e1046d5 2025-07-17T07:01:09.4411548Z * [new tag] trunk/92ee5bd9f6bef38b3e3e81a37f4d5374395aeb40 -> trunk/92ee5bd9f6bef38b3e3e81a37f4d5374395aeb40 2025-07-17T07:01:09.4412873Z * [new tag] trunk/92f41ccc2651ab284118ec7087977ab455027eb0 -> trunk/92f41ccc2651ab284118ec7087977ab455027eb0 2025-07-17T07:01:09.4413814Z * [new tag] trunk/930b575389f9233efddf70ea7b7804ed06af80d5 -> trunk/930b575389f9233efddf70ea7b7804ed06af80d5 2025-07-17T07:01:09.4415019Z * [new tag] trunk/9328a7fb589f6372ea478e47cdae8d124030f383 -> trunk/9328a7fb589f6372ea478e47cdae8d124030f383 2025-07-17T07:01:09.4415973Z * [new tag] trunk/9338d85d4594f981c198bcbb7edfccf6b92643be -> trunk/9338d85d4594f981c198bcbb7edfccf6b92643be 2025-07-17T07:01:09.4416863Z * [new tag] trunk/9345279c6ebdbad95b7b53bc2cb6f63a4e57b2cc -> trunk/9345279c6ebdbad95b7b53bc2cb6f63a4e57b2cc 2025-07-17T07:01:09.4417665Z * [new tag] trunk/937529f0b31788726e53890f5601886c64dc9eec -> trunk/937529f0b31788726e53890f5601886c64dc9eec 2025-07-17T07:01:09.4418899Z * [new tag] trunk/938515fa75f4e9d28c62a2aaa3e0e5428c867c36 -> trunk/938515fa75f4e9d28c62a2aaa3e0e5428c867c36 2025-07-17T07:01:09.4419819Z * [new tag] trunk/93854e83b7bfde94090662e9b372d8bf44ccf5d4 -> trunk/93854e83b7bfde94090662e9b372d8bf44ccf5d4 2025-07-17T07:01:09.4421176Z * [new tag] trunk/944a140e90389eced1ec38e14cb4345811ed0b1a -> trunk/944a140e90389eced1ec38e14cb4345811ed0b1a 2025-07-17T07:01:09.4422629Z * [new tag] trunk/9462106b7e41d9a24308255e15613b464ab086ce -> trunk/9462106b7e41d9a24308255e15613b464ab086ce 2025-07-17T07:01:09.4423615Z * [new tag] trunk/94716db22214912896cf680dc3eb88574f611a42 -> trunk/94716db22214912896cf680dc3eb88574f611a42 2025-07-17T07:01:09.4424765Z * [new tag] trunk/94763f5ca75330206777f3c1b36ff124706bd9d9 -> trunk/94763f5ca75330206777f3c1b36ff124706bd9d9 2025-07-17T07:01:09.4425993Z * [new tag] trunk/94995eba07763890b86465d53c4647c089f48d0a -> trunk/94995eba07763890b86465d53c4647c089f48d0a 2025-07-17T07:01:09.4426961Z * [new tag] trunk/94ae61533719defecb08d11f63c5d9fe9a826c00 -> trunk/94ae61533719defecb08d11f63c5d9fe9a826c00 2025-07-17T07:01:09.4428153Z * [new tag] trunk/94c746bb43484787a3f5bbdc2f72bd4fb02f2964 -> trunk/94c746bb43484787a3f5bbdc2f72bd4fb02f2964 2025-07-17T07:01:09.4429081Z * [new tag] trunk/94da4523ec4362dabbf9f08f9f2efce79ab70b73 -> trunk/94da4523ec4362dabbf9f08f9f2efce79ab70b73 2025-07-17T07:01:09.4430300Z * [new tag] trunk/94f8679019ea4b1272f1ad58ad7cad87147cf5a7 -> trunk/94f8679019ea4b1272f1ad58ad7cad87147cf5a7 2025-07-17T07:01:09.4431176Z * [new tag] trunk/9508d73307b4bc1fe453677526a096e5e10a7575 -> trunk/9508d73307b4bc1fe453677526a096e5e10a7575 2025-07-17T07:01:09.4432308Z * [new tag] trunk/9513b9d03fa8950ba5d2b59cc0b1a1aab3a41c06 -> trunk/9513b9d03fa8950ba5d2b59cc0b1a1aab3a41c06 2025-07-17T07:01:09.4433326Z * [new tag] trunk/95448b2ce61c3995ecdae0bfec655a5ef81a117d -> trunk/95448b2ce61c3995ecdae0bfec655a5ef81a117d 2025-07-17T07:01:09.4434585Z * [new tag] trunk/954ce949500746763a487a8ed9800035e7cd87d4 -> trunk/954ce949500746763a487a8ed9800035e7cd87d4 2025-07-17T07:01:09.4435542Z * [new tag] trunk/95a7d1912a86d857a9f4adb55b73b57518ce1e7b -> trunk/95a7d1912a86d857a9f4adb55b73b57518ce1e7b 2025-07-17T07:01:09.4436737Z * [new tag] trunk/95bc3da9f8555897d5d2b90f75385e3b2ff7bc43 -> trunk/95bc3da9f8555897d5d2b90f75385e3b2ff7bc43 2025-07-17T07:01:09.4437691Z * [new tag] trunk/95cb42c45d17f532222611e8028c9307622cc3c9 -> trunk/95cb42c45d17f532222611e8028c9307622cc3c9 2025-07-17T07:01:09.4438631Z * [new tag] trunk/9620994067b18e846a097d1e99af85ec2426ef0a -> trunk/9620994067b18e846a097d1e99af85ec2426ef0a 2025-07-17T07:01:09.4439847Z * [new tag] trunk/9636e2cfd3e995ef977f670ad47e8e895296d992 -> trunk/9636e2cfd3e995ef977f670ad47e8e895296d992 2025-07-17T07:01:09.4440788Z * [new tag] trunk/9642c7568967ab424c5d0e04ef2cd1e82a54b5f8 -> trunk/9642c7568967ab424c5d0e04ef2cd1e82a54b5f8 2025-07-17T07:01:09.4441939Z * [new tag] trunk/9656251bb1bee12c0e2f21828dc14a4c3c06afdd -> trunk/9656251bb1bee12c0e2f21828dc14a4c3c06afdd 2025-07-17T07:01:09.4442875Z * [new tag] trunk/9665702c64af633ab23499228d552a49660a9fa2 -> trunk/9665702c64af633ab23499228d552a49660a9fa2 2025-07-17T07:01:09.4444017Z * [new tag] trunk/96897e721b76f3b72aa406696165711d74f8d260 -> trunk/96897e721b76f3b72aa406696165711d74f8d260 2025-07-17T07:01:09.4445180Z * [new tag] trunk/968f90ce7344223c788eeba59200cc22b9f94dcd -> trunk/968f90ce7344223c788eeba59200cc22b9f94dcd 2025-07-17T07:01:09.4446157Z * [new tag] trunk/96d082d06bda98addd4ad7903d315477404dc272 -> trunk/96d082d06bda98addd4ad7903d315477404dc272 2025-07-17T07:01:09.4447040Z * [new tag] trunk/96df86641048a282a4622ac93d19e4c7b6c38b8e -> trunk/96df86641048a282a4622ac93d19e4c7b6c38b8e 2025-07-17T07:01:09.4448301Z * [new tag] trunk/96e4c95cd8d03037765ffd4b8fcdaa06c4b2c51c -> trunk/96e4c95cd8d03037765ffd4b8fcdaa06c4b2c51c 2025-07-17T07:01:09.4449210Z * [new tag] trunk/9768d393fa62df8a508136f5b6634bf955d8365d -> trunk/9768d393fa62df8a508136f5b6634bf955d8365d 2025-07-17T07:01:09.4450384Z * [new tag] trunk/977abe786d907c1ff76528a550e3d53c9f3b1044 -> trunk/977abe786d907c1ff76528a550e3d53c9f3b1044 2025-07-17T07:01:09.4451329Z * [new tag] trunk/981c99fdffd9a4f510e4b89245d16aa427ee0978 -> trunk/981c99fdffd9a4f510e4b89245d16aa427ee0978 2025-07-17T07:01:09.4452518Z * [new tag] trunk/987314aa96fdf8aa051e3643b26f4209b7fe166d -> trunk/987314aa96fdf8aa051e3643b26f4209b7fe166d 2025-07-17T07:01:09.4453468Z * [new tag] trunk/98a34e8d4b4d73504afbf49f70284221e6303314 -> trunk/98a34e8d4b4d73504afbf49f70284221e6303314 2025-07-17T07:01:09.4454382Z * [new tag] trunk/98bb0c0e7888a84de1d22c4952de69a5d5b1a0b3 -> trunk/98bb0c0e7888a84de1d22c4952de69a5d5b1a0b3 2025-07-17T07:01:09.4455588Z * [new tag] trunk/9944cd0949e96d656746de6df0cb3a5a954597e4 -> trunk/9944cd0949e96d656746de6df0cb3a5a954597e4 2025-07-17T07:01:09.4456564Z * [new tag] trunk/996206e66fcafff25d0af5177497e8f792000869 -> trunk/996206e66fcafff25d0af5177497e8f792000869 2025-07-17T07:01:09.4457941Z * [new tag] trunk/9963845a4e55a3e8d35ea49deb8f8c1f6c53cb74 -> trunk/9963845a4e55a3e8d35ea49deb8f8c1f6c53cb74 2025-07-17T07:01:09.4458725Z * [new tag] trunk/9968c854b6a38857d05fb1da7bea797fbf23c880 -> trunk/9968c854b6a38857d05fb1da7bea797fbf23c880 2025-07-17T07:01:09.4460077Z * [new tag] trunk/9968edd00256fdb47e2e0129df918c5b23c06419 -> trunk/9968edd00256fdb47e2e0129df918c5b23c06419 2025-07-17T07:01:09.4461047Z * [new tag] trunk/99c1a6bdd98ecb1f9b2fb8310bcd891c8c6adf57 -> trunk/99c1a6bdd98ecb1f9b2fb8310bcd891c8c6adf57 2025-07-17T07:01:09.4462219Z * [new tag] trunk/99e99d5bfe57eddfce23f7dc9ede016cb1393c52 -> trunk/99e99d5bfe57eddfce23f7dc9ede016cb1393c52 2025-07-17T07:01:09.4463527Z * [new tag] trunk/9a2c669425379eb264f896390b8fcd8d3f2ce959 -> trunk/9a2c669425379eb264f896390b8fcd8d3f2ce959 2025-07-17T07:01:09.4464466Z * [new tag] trunk/9a42f01586267b52fe303c0c1b7a71d50cc4178e -> trunk/9a42f01586267b52fe303c0c1b7a71d50cc4178e 2025-07-17T07:01:09.4465629Z * [new tag] trunk/9a4c08ddfc9b43c07cd16355277d359dfcef50d6 -> trunk/9a4c08ddfc9b43c07cd16355277d359dfcef50d6 2025-07-17T07:01:09.4466605Z * [new tag] trunk/9a5278225fc5e7b46d54a65ae1a3f049ee49824f -> trunk/9a5278225fc5e7b46d54a65ae1a3f049ee49824f 2025-07-17T07:01:09.4467485Z * [new tag] trunk/9a5c59368d46d3793e09b72a2782ef4d12e74392 -> trunk/9a5c59368d46d3793e09b72a2782ef4d12e74392 2025-07-17T07:01:09.4468689Z * [new tag] trunk/9aaa184105b2f436b5834187c4c004c02e438491 -> trunk/9aaa184105b2f436b5834187c4c004c02e438491 2025-07-17T07:01:09.4470023Z * [new tag] trunk/9afee0fa969fd4ebab86a2cbad3217c8bade156e -> trunk/9afee0fa969fd4ebab86a2cbad3217c8bade156e 2025-07-17T07:01:09.4470980Z * [new tag] trunk/9b0013c6bb98d7161e921d03be76c81bbc0eebef -> trunk/9b0013c6bb98d7161e921d03be76c81bbc0eebef 2025-07-17T07:01:09.4472123Z * [new tag] trunk/9b122aab5dcd419b96d4a1137c45e99bde94f14e -> trunk/9b122aab5dcd419b96d4a1137c45e99bde94f14e 2025-07-17T07:01:09.4473097Z * [new tag] trunk/9b498d3bb28b8e3411ce464dd2755c5b96d92c8f -> trunk/9b498d3bb28b8e3411ce464dd2755c5b96d92c8f 2025-07-17T07:01:09.4474281Z * [new tag] trunk/9b4a748e29a720d0fade7e1298a68cc36cfd5f5e -> trunk/9b4a748e29a720d0fade7e1298a68cc36cfd5f5e 2025-07-17T07:01:09.4475263Z * [new tag] trunk/9b4db093cb63555654c868ba9e3ab68ef4c722e5 -> trunk/9b4db093cb63555654c868ba9e3ab68ef4c722e5 2025-07-17T07:01:09.4476295Z * [new tag] trunk/9bae2fcf990cd51891218895ac1b3cfe70ffc2c3 -> trunk/9bae2fcf990cd51891218895ac1b3cfe70ffc2c3 2025-07-17T07:01:09.4477468Z * [new tag] trunk/9bd0830ed8d3e753afc3e9fff2553f4c5871f6f9 -> trunk/9bd0830ed8d3e753afc3e9fff2553f4c5871f6f9 2025-07-17T07:01:09.4478385Z * [new tag] trunk/9bd42c15707a4b410ee005d5916e882a7db432bb -> trunk/9bd42c15707a4b410ee005d5916e882a7db432bb 2025-07-17T07:01:09.4479788Z * [new tag] trunk/9bdf87e8918b9a3f78d7bcb8a770c19f7c82ac15 -> trunk/9bdf87e8918b9a3f78d7bcb8a770c19f7c82ac15 2025-07-17T07:01:09.4480785Z * [new tag] trunk/9be5860bc34b643abd02ac5b5a89d820efcdfbc9 -> trunk/9be5860bc34b643abd02ac5b5a89d820efcdfbc9 2025-07-17T07:01:09.4482335Z * [new tag] trunk/9bf41633d76f7816fdcc0b7ae22a42dc91821004 -> trunk/9bf41633d76f7816fdcc0b7ae22a42dc91821004 2025-07-17T07:01:09.4483261Z * [new tag] trunk/9bf6593e96b711641606e6008a4936173fd3b458 -> trunk/9bf6593e96b711641606e6008a4936173fd3b458 2025-07-17T07:01:09.4484519Z * [new tag] trunk/9bfefda296d2df31ce9bb90410d91d8f18127545 -> trunk/9bfefda296d2df31ce9bb90410d91d8f18127545 2025-07-17T07:01:09.4485466Z * [new tag] trunk/9c189ed29a2cfa08ff357cb5042ff8c34f07d668 -> trunk/9c189ed29a2cfa08ff357cb5042ff8c34f07d668 2025-07-17T07:01:09.4486617Z * [new tag] trunk/9c39bc24807a5843f8affdf56bd71836760dc554 -> trunk/9c39bc24807a5843f8affdf56bd71836760dc554 2025-07-17T07:01:09.4487691Z * [new tag] trunk/9ca080db87f66becb2bb2c61598c0beabae73d5f -> trunk/9ca080db87f66becb2bb2c61598c0beabae73d5f 2025-07-17T07:01:09.4488611Z * [new tag] trunk/9cced33c7c9cdfc68e9ed85c4b45bdfd05dac92d -> trunk/9cced33c7c9cdfc68e9ed85c4b45bdfd05dac92d 2025-07-17T07:01:09.4489621Z * [new tag] trunk/9cd521de4dad5fc6bca94e253a9334b9a521acb0 -> trunk/9cd521de4dad5fc6bca94e253a9334b9a521acb0 2025-07-17T07:01:09.4490828Z * [new tag] trunk/9d175bc7e615b062d8ea57df6ca17edb8a6b951f -> trunk/9d175bc7e615b062d8ea57df6ca17edb8a6b951f 2025-07-17T07:01:09.4492376Z * [new tag] trunk/9d184bda2f190a3ba72a4a0d95e1fde26d6bfc08 -> trunk/9d184bda2f190a3ba72a4a0d95e1fde26d6bfc08 2025-07-17T07:01:09.4493312Z * [new tag] trunk/9d2d2270037c5a014767cdfa531863da8062bf9d -> trunk/9d2d2270037c5a014767cdfa531863da8062bf9d 2025-07-17T07:01:09.4494672Z * [new tag] trunk/9d59b516e9b3026948918e3ff8c2ef55a33d13ad -> trunk/9d59b516e9b3026948918e3ff8c2ef55a33d13ad 2025-07-17T07:01:09.4495795Z * [new tag] trunk/9d677389cb5eb75d423860c55519b522961a9195 -> trunk/9d677389cb5eb75d423860c55519b522961a9195 2025-07-17T07:01:09.4496977Z * [new tag] trunk/9de23d0c29dfac8dc0f6f234bdbcd85a6375fa81 -> trunk/9de23d0c29dfac8dc0f6f234bdbcd85a6375fa81 2025-07-17T07:01:09.4497882Z * [new tag] trunk/9df0176408518b30ac172837bd697c9d19b19a98 -> trunk/9df0176408518b30ac172837bd697c9d19b19a98 2025-07-17T07:01:09.4499122Z * [new tag] trunk/9df2e8020f190bdad02258aff2b2f88f7db3dcab -> trunk/9df2e8020f190bdad02258aff2b2f88f7db3dcab 2025-07-17T07:01:09.4500173Z * [new tag] trunk/9e132b770e06c2399f827d3d1963fe036e9744e6 -> trunk/9e132b770e06c2399f827d3d1963fe036e9744e6 2025-07-17T07:01:09.4501071Z * [new tag] trunk/9e5f4a844c0aebf964a435094005c92713fbe99a -> trunk/9e5f4a844c0aebf964a435094005c92713fbe99a 2025-07-17T07:01:09.4502213Z * [new tag] trunk/9e88d6c857fd2b276427f4527130e2ecb7ed731e -> trunk/9e88d6c857fd2b276427f4527130e2ecb7ed731e 2025-07-17T07:01:09.4503394Z * [new tag] trunk/9e9484d022f8d65e2066b5683b75c84ba0f36332 -> trunk/9e9484d022f8d65e2066b5683b75c84ba0f36332 2025-07-17T07:01:09.4504731Z * [new tag] trunk/9ed0060225a7b78c60c42f29be94444b537edd4a -> trunk/9ed0060225a7b78c60c42f29be94444b537edd4a 2025-07-17T07:01:09.4505663Z * [new tag] trunk/9f18482d41227df3cf2248dfa54bd6601e61e1ca -> trunk/9f18482d41227df3cf2248dfa54bd6601e61e1ca 2025-07-17T07:01:09.4506846Z * [new tag] trunk/9f37cce69334bccebf4b21503f0047d0c0bb320c -> trunk/9f37cce69334bccebf4b21503f0047d0c0bb320c 2025-07-17T07:01:09.4508022Z * [new tag] trunk/9f5153b1a495b3b2b7ad9f22a064fe4074d742aa -> trunk/9f5153b1a495b3b2b7ad9f22a064fe4074d742aa 2025-07-17T07:01:09.4508955Z * [new tag] trunk/9f5276dc07c788533af8945b1605df47a33313e7 -> trunk/9f5276dc07c788533af8945b1605df47a33313e7 2025-07-17T07:01:09.4510109Z * [new tag] trunk/9fe2d156a9f81d67e248c0edaf7feee1a8d6c4d5 -> trunk/9fe2d156a9f81d67e248c0edaf7feee1a8d6c4d5 2025-07-17T07:01:09.4511022Z * [new tag] trunk/9fed2addedb42da86b657165fe14eadc911232cf -> trunk/9fed2addedb42da86b657165fe14eadc911232cf 2025-07-17T07:01:09.4511888Z * [new tag] trunk/a00a697c1748937b0c6d13508ff76b8af4957d8a -> trunk/a00a697c1748937b0c6d13508ff76b8af4957d8a 2025-07-17T07:01:09.4513023Z * [new tag] trunk/a0308edb6cdfd8983e80a499890d9f320556e844 -> trunk/a0308edb6cdfd8983e80a499890d9f320556e844 2025-07-17T07:01:09.4513992Z * [new tag] trunk/a04a13c44908fe0ace4f76a228d045dbf5c015bc -> trunk/a04a13c44908fe0ace4f76a228d045dbf5c015bc 2025-07-17T07:01:09.4515255Z * [new tag] trunk/a0e0abd0379ed403adc926d3cc5459fa35aff0a0 -> trunk/a0e0abd0379ed403adc926d3cc5459fa35aff0a0 2025-07-17T07:01:09.4516289Z * [new tag] trunk/a10024d7dea47c52469059a47efe376eb20adca0 -> trunk/a10024d7dea47c52469059a47efe376eb20adca0 2025-07-17T07:01:09.4517428Z * [new tag] trunk/a1057cda31fe890d237fe9a2e6b3314cd4be3439 -> trunk/a1057cda31fe890d237fe9a2e6b3314cd4be3439 2025-07-17T07:01:09.4518373Z * [new tag] trunk/a1257446f8eaf81eb758e89b4e784bed47b9c733 -> trunk/a1257446f8eaf81eb758e89b4e784bed47b9c733 2025-07-17T07:01:09.4519530Z * [new tag] trunk/a1282b18239204b0344884ebd232b33b2d8b748f -> trunk/a1282b18239204b0344884ebd232b33b2d8b748f 2025-07-17T07:01:09.4520447Z * [new tag] trunk/a14f427db68e54500ef4cd9ed34cb9537263bb74 -> trunk/a14f427db68e54500ef4cd9ed34cb9537263bb74 2025-07-17T07:01:09.4521668Z * [new tag] trunk/a1dad2f2d2c082e2a3784c3d585ef0204b7ccf75 -> trunk/a1dad2f2d2c082e2a3784c3d585ef0204b7ccf75 2025-07-17T07:01:09.4522555Z * [new tag] trunk/a1e4f1f98a0b9596fe52aaf2f85b0778498d5f49 -> trunk/a1e4f1f98a0b9596fe52aaf2f85b0778498d5f49 2025-07-17T07:01:09.4523748Z * [new tag] trunk/a205e8fd7357cf5c2b95eb4bec7c8ff7b5c41651 -> trunk/a205e8fd7357cf5c2b95eb4bec7c8ff7b5c41651 2025-07-17T07:01:09.4524646Z * [new tag] trunk/a21806f0386c2671fc11ae37fe2fe96c4aeb37d9 -> trunk/a21806f0386c2671fc11ae37fe2fe96c4aeb37d9 2025-07-17T07:01:09.4525828Z * [new tag] trunk/a23f4471b952d8cd630b860639e0aaa9be957d60 -> trunk/a23f4471b952d8cd630b860639e0aaa9be957d60 2025-07-17T07:01:09.4526672Z * [new tag] trunk/a24afbff3f44399ac9513addce6bd50cacab22d2 -> trunk/a24afbff3f44399ac9513addce6bd50cacab22d2 2025-07-17T07:01:09.4527564Z * [new tag] trunk/a24ce67deedab025531660ddb44c148bb066edf8 -> trunk/a24ce67deedab025531660ddb44c148bb066edf8 2025-07-17T07:01:09.4528563Z * [new tag] trunk/a25d1443fae79a9984eaa44e973b2f5645c85da8 -> trunk/a25d1443fae79a9984eaa44e973b2f5645c85da8 2025-07-17T07:01:09.4529809Z * [new tag] trunk/a26bf3892778ca7cc457c772a1f5194c11b6f33c -> trunk/a26bf3892778ca7cc457c772a1f5194c11b6f33c 2025-07-17T07:01:09.4530774Z * [new tag] trunk/a28e6ae38f1e1de33ecf48b679ff1eda71fc2efc -> trunk/a28e6ae38f1e1de33ecf48b679ff1eda71fc2efc 2025-07-17T07:01:09.4531936Z * [new tag] trunk/a2a75be0f8d680cf1dc36c50f34f225b0c7c4d6a -> trunk/a2a75be0f8d680cf1dc36c50f34f225b0c7c4d6a 2025-07-17T07:01:09.4532886Z * [new tag] trunk/a2ad16be72bf989c01b96c4c56b1c108a71c087f -> trunk/a2ad16be72bf989c01b96c4c56b1c108a71c087f 2025-07-17T07:01:09.4534104Z * [new tag] trunk/a2b0b2698d5b953861b2e4f3cdee11136f07bd3b -> trunk/a2b0b2698d5b953861b2e4f3cdee11136f07bd3b 2025-07-17T07:01:09.4535038Z * [new tag] trunk/a3098a74d494020dbb906c05ef047013e1921662 -> trunk/a3098a74d494020dbb906c05ef047013e1921662 2025-07-17T07:01:09.4536238Z * [new tag] trunk/a317c63d1b70a7989a4cab09394691fb7a3d8323 -> trunk/a317c63d1b70a7989a4cab09394691fb7a3d8323 2025-07-17T07:01:09.4537030Z * [new tag] trunk/a355158fcba807fda1e47e5ee42babdbcf447947 -> trunk/a355158fcba807fda1e47e5ee42babdbcf447947 2025-07-17T07:01:09.4538271Z * [new tag] trunk/a35b3a9b95bbe0703de33802162a83cb7970ddc0 -> trunk/a35b3a9b95bbe0703de33802162a83cb7970ddc0 2025-07-17T07:01:09.4539121Z * [new tag] trunk/a369350065493109d1abfbb994695777ab11bcf4 -> trunk/a369350065493109d1abfbb994695777ab11bcf4 2025-07-17T07:01:09.4540507Z * [new tag] trunk/a38f433be2e94a64b095a44ba39879d02d0c2316 -> trunk/a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:01:09.4541429Z * [new tag] trunk/a3ec6d64b24fdbd61164240f3bcd8530434812b5 -> trunk/a3ec6d64b24fdbd61164240f3bcd8530434812b5 2025-07-17T07:01:09.4542652Z * [new tag] trunk/a46ea8a364e528828c4369d58d53802291f0b49b -> trunk/a46ea8a364e528828c4369d58d53802291f0b49b 2025-07-17T07:01:09.4543798Z * [new tag] trunk/a47ca4fc746a663c0e97d55a87815d0965d0a7e9 -> trunk/a47ca4fc746a663c0e97d55a87815d0965d0a7e9 2025-07-17T07:01:09.4544683Z * [new tag] trunk/a4b59498c5222a02a706fa1e1308a6035d65feab -> trunk/a4b59498c5222a02a706fa1e1308a6035d65feab 2025-07-17T07:01:09.4545898Z * [new tag] trunk/a4c7e7f98373ad8f309e419c6f98b0134933dcda -> trunk/a4c7e7f98373ad8f309e419c6f98b0134933dcda 2025-07-17T07:01:09.4546763Z * [new tag] trunk/a4d753295ee5662056bdfd1b00fa242071ac7125 -> trunk/a4d753295ee5662056bdfd1b00fa242071ac7125 2025-07-17T07:01:09.4548014Z * [new tag] trunk/a4ea242edc8626250e54a62aa073cba0e5322af2 -> trunk/a4ea242edc8626250e54a62aa073cba0e5322af2 2025-07-17T07:01:09.4549162Z * [new tag] trunk/a529a5daf5d348f4f8dac4fcd85521153b6a3d4d -> trunk/a529a5daf5d348f4f8dac4fcd85521153b6a3d4d 2025-07-17T07:01:09.4550144Z * [new tag] trunk/a5938ff431202864c92fec7d9042574348b1c15b -> trunk/a5938ff431202864c92fec7d9042574348b1c15b 2025-07-17T07:01:09.4551359Z * [new tag] trunk/a5b4463d60e5beaec546843b24876ce573890784 -> trunk/a5b4463d60e5beaec546843b24876ce573890784 2025-07-17T07:01:09.4552194Z * [new tag] trunk/a5c61eb78dda6b7b4c4beb8bc616f9545ea4807b -> trunk/a5c61eb78dda6b7b4c4beb8bc616f9545ea4807b 2025-07-17T07:01:09.4553418Z * [new tag] trunk/a5cbb2bcb3c005909a3c10042605e861e6390927 -> trunk/a5cbb2bcb3c005909a3c10042605e861e6390927 2025-07-17T07:01:09.4554400Z * [new tag] trunk/a5df6ffbc2cf8d61fc98bca1c10f22ff64b2318e -> trunk/a5df6ffbc2cf8d61fc98bca1c10f22ff64b2318e 2025-07-17T07:01:09.4555612Z * [new tag] trunk/a5e68814d556cf67c6511876410970dd08c3dd6d -> trunk/a5e68814d556cf67c6511876410970dd08c3dd6d 2025-07-17T07:01:09.4556560Z * [new tag] trunk/a5f59cc2eab3a5201712c52fe48c268357ba4f3c -> trunk/a5f59cc2eab3a5201712c52fe48c268357ba4f3c 2025-07-17T07:01:09.4557803Z * [new tag] trunk/a6084b71edb8d2856356724b5e71c4e2a861867f -> trunk/a6084b71edb8d2856356724b5e71c4e2a861867f 2025-07-17T07:01:09.4558752Z * [new tag] trunk/a6210fd07b8fe1924f24229bb30562608af4f41a -> trunk/a6210fd07b8fe1924f24229bb30562608af4f41a 2025-07-17T07:01:09.4559913Z * [new tag] trunk/a666cf3b38f5e7739f94b175f152b127a6d51344 -> trunk/a666cf3b38f5e7739f94b175f152b127a6d51344 2025-07-17T07:01:09.4561377Z * [new tag] trunk/a67eb1a0d627d59d95a99722d37cab3bf054261f -> trunk/a67eb1a0d627d59d95a99722d37cab3bf054261f 2025-07-17T07:01:09.4562385Z * [new tag] trunk/a69e27ca5ad4287add73972ef1b34b469e3c7d23 -> trunk/a69e27ca5ad4287add73972ef1b34b469e3c7d23 2025-07-17T07:01:09.4563710Z * [new tag] trunk/a6a3a441442a96f38d0771c985f753223cea2ba0 -> trunk/a6a3a441442a96f38d0771c985f753223cea2ba0 2025-07-17T07:01:09.4564977Z * [new tag] trunk/a6a8641c8aee5797324c3d41749bcae62b4e5de8 -> trunk/a6a8641c8aee5797324c3d41749bcae62b4e5de8 2025-07-17T07:01:09.4565948Z * [new tag] trunk/a6fab82b16011213cb010c8c50461b9a680748a2 -> trunk/a6fab82b16011213cb010c8c50461b9a680748a2 2025-07-17T07:01:09.4567107Z * [new tag] trunk/a73d9e0aec9319e56ba0c9b0ccc25db69c739faf -> trunk/a73d9e0aec9319e56ba0c9b0ccc25db69c739faf 2025-07-17T07:01:09.4568082Z * [new tag] trunk/a767e50adca9e08dd638be60c9e5604de15b9f15 -> trunk/a767e50adca9e08dd638be60c9e5604de15b9f15 2025-07-17T07:01:09.4568959Z * [new tag] trunk/a7b29c88b1f55bac02f38bf1faba68b6c4be4c9c -> trunk/a7b29c88b1f55bac02f38bf1faba68b6c4be4c9c 2025-07-17T07:01:09.4573490Z * [new tag] trunk/a7eb153bba0534daaa1b652d44bb9fb5bd1ac7c7 -> trunk/a7eb153bba0534daaa1b652d44bb9fb5bd1ac7c7 2025-07-17T07:01:09.4573885Z * [new tag] trunk/a82c171bb26949dda5f5932051a905a9bab38761 -> trunk/a82c171bb26949dda5f5932051a905a9bab38761 2025-07-17T07:01:09.4574271Z * [new tag] trunk/a85ad5552532926b78d489d1b60671f74bf6dc8e -> trunk/a85ad5552532926b78d489d1b60671f74bf6dc8e 2025-07-17T07:01:09.4574779Z * [new tag] trunk/a87dfc7480bc98d33dab274d7e95723aa9cf7840 -> trunk/a87dfc7480bc98d33dab274d7e95723aa9cf7840 2025-07-17T07:01:09.4575506Z * [new tag] trunk/a8b973673798ca79dfe616c9080415d09f9e990d -> trunk/a8b973673798ca79dfe616c9080415d09f9e990d 2025-07-17T07:01:09.4576707Z * [new tag] trunk/a8ec7babcf27584cf068c3a5a04bb3ea0102ab99 -> trunk/a8ec7babcf27584cf068c3a5a04bb3ea0102ab99 2025-07-17T07:01:09.4577839Z * [new tag] trunk/a8fe982993221048ee1665ce28add1b02888784d -> trunk/a8fe982993221048ee1665ce28add1b02888784d 2025-07-17T07:01:09.4579049Z * [new tag] trunk/a92b24cd839aa6807f3c9ea8b8787da99c4490c0 -> trunk/a92b24cd839aa6807f3c9ea8b8787da99c4490c0 2025-07-17T07:01:09.4580220Z * [new tag] trunk/a9352bd25e9f070e8f846b8fdbcd7c90ad5c66b3 -> trunk/a9352bd25e9f070e8f846b8fdbcd7c90ad5c66b3 2025-07-17T07:01:09.4581652Z * [new tag] trunk/a952956d05dd617355007ae31d8e936474a35f14 -> trunk/a952956d05dd617355007ae31d8e936474a35f14 2025-07-17T07:01:09.4582634Z * [new tag] trunk/a9537b626c91ce617139ade60b9107a2805a4248 -> trunk/a9537b626c91ce617139ade60b9107a2805a4248 2025-07-17T07:01:09.4583970Z * [new tag] trunk/a95504b10fff38b5308660e0b535961beed6c9f1 -> trunk/a95504b10fff38b5308660e0b535961beed6c9f1 2025-07-17T07:01:09.4585289Z * [new tag] trunk/a9a0501ec40d8fab07b0f8d2fcbf8eb7147c1ae8 -> trunk/a9a0501ec40d8fab07b0f8d2fcbf8eb7147c1ae8 2025-07-17T07:01:09.4586449Z * [new tag] trunk/a9ac9f2635a9be28eaf267ed41070081a4ce05d8 -> trunk/a9ac9f2635a9be28eaf267ed41070081a4ce05d8 2025-07-17T07:01:09.4587317Z * [new tag] trunk/a9d5157e2596e1d830158e83fab618aab1d4ee39 -> trunk/a9d5157e2596e1d830158e83fab618aab1d4ee39 2025-07-17T07:01:09.4588198Z * [new tag] trunk/a9ee4250d55c6342b80e2d57a8ad9a1992ddcdce -> trunk/a9ee4250d55c6342b80e2d57a8ad9a1992ddcdce 2025-07-17T07:01:09.4589449Z * [new tag] trunk/a9ef7c4d044d386993a6e82b5ad37b7db759b502 -> trunk/a9ef7c4d044d386993a6e82b5ad37b7db759b502 2025-07-17T07:01:09.4590414Z * [new tag] trunk/a9f902add02383ca1b0386eb865767641975fede -> trunk/a9f902add02383ca1b0386eb865767641975fede 2025-07-17T07:01:09.4591680Z * [new tag] trunk/aa116285768ba6a8cd34bf8d245e38d04c88810a -> trunk/aa116285768ba6a8cd34bf8d245e38d04c88810a 2025-07-17T07:01:09.4592605Z * [new tag] trunk/aa280ea19fb20923d048909fa98af092e18ca2fb -> trunk/aa280ea19fb20923d048909fa98af092e18ca2fb 2025-07-17T07:01:09.4593913Z * [new tag] trunk/aa2d54148d476383986855af3fe53862da861dda -> trunk/aa2d54148d476383986855af3fe53862da861dda 2025-07-17T07:01:09.4594856Z * [new tag] trunk/aab949aa96a6b197b75ffa25608fa84049ff68ad -> trunk/aab949aa96a6b197b75ffa25608fa84049ff68ad 2025-07-17T07:01:09.4596025Z * [new tag] trunk/aac0e8f0e998a9381f0eb5dd303a853515109eb0 -> trunk/aac0e8f0e998a9381f0eb5dd303a853515109eb0 2025-07-17T07:01:09.4597176Z * [new tag] trunk/aacb9440791f4e9567e2123f19bb062e75c2d242 -> trunk/aacb9440791f4e9567e2123f19bb062e75c2d242 2025-07-17T07:01:09.4598169Z * [new tag] trunk/ab2294d8289a7757a2fc321cdefac88e2b378edf -> trunk/ab2294d8289a7757a2fc321cdefac88e2b378edf 2025-07-17T07:01:09.4599345Z * [new tag] trunk/ab3393e923514438c9bdfc1afcd0b2aac8be8de9 -> trunk/ab3393e923514438c9bdfc1afcd0b2aac8be8de9 2025-07-17T07:01:09.4600605Z * [new tag] trunk/ab51a937371e61f91cacae7d9fb4b1fe61f24f03 -> trunk/ab51a937371e61f91cacae7d9fb4b1fe61f24f03 2025-07-17T07:01:09.4601860Z * [new tag] trunk/ab56e5add9c36f611a4d9af2f43213926b65d7b4 -> trunk/ab56e5add9c36f611a4d9af2f43213926b65d7b4 2025-07-17T07:01:09.4602841Z * [new tag] trunk/ab655816b8f76f511fb2262d45276d8d1b13d59c -> trunk/ab655816b8f76f511fb2262d45276d8d1b13d59c 2025-07-17T07:01:09.4604208Z * [new tag] trunk/ab6cb34480a14f3cf2446519189ee5f0c5e7278d -> trunk/ab6cb34480a14f3cf2446519189ee5f0c5e7278d 2025-07-17T07:01:09.4605093Z * [new tag] trunk/ab81fb846cd0e52bbc6a2eb366706350639e209f -> trunk/ab81fb846cd0e52bbc6a2eb366706350639e209f 2025-07-17T07:01:09.4606393Z * [new tag] trunk/ab8874bd26894a8ab956408ceee2e89c9ad7f450 -> trunk/ab8874bd26894a8ab956408ceee2e89c9ad7f450 2025-07-17T07:01:09.4607346Z * [new tag] trunk/abbdf9f3632af505b3265b4258a6c185b257edde -> trunk/abbdf9f3632af505b3265b4258a6c185b257edde 2025-07-17T07:01:09.4608712Z * [new tag] trunk/abeae997a35b1920a45be9c26eff7474f2c6c5dd -> trunk/abeae997a35b1920a45be9c26eff7474f2c6c5dd 2025-07-17T07:01:09.4610109Z * [new tag] trunk/abf4da0d242274ba7ab4c0859d105cae74a2dbc5 -> trunk/abf4da0d242274ba7ab4c0859d105cae74a2dbc5 2025-07-17T07:01:09.4611038Z * [new tag] trunk/ac706bfc7f942b8a97401486a840dd8f6452f5cb -> trunk/ac706bfc7f942b8a97401486a840dd8f6452f5cb 2025-07-17T07:01:09.4612238Z * [new tag] trunk/ac86ec0e60370c037e018137f2048cafd47c5c28 -> trunk/ac86ec0e60370c037e018137f2048cafd47c5c28 2025-07-17T07:01:09.4613211Z * [new tag] trunk/acaf6ba3c6d0bdec88ab3f6c2ef82650050558d2 -> trunk/acaf6ba3c6d0bdec88ab3f6c2ef82650050558d2 2025-07-17T07:01:09.4614367Z * [new tag] trunk/ad86c05b78d343f3346d07a07e17639e421d2cf4 -> trunk/ad86c05b78d343f3346d07a07e17639e421d2cf4 2025-07-17T07:01:09.4615582Z * [new tag] trunk/ada44e5ba78be9377814678d1986556af2d6e570 -> trunk/ada44e5ba78be9377814678d1986556af2d6e570 2025-07-17T07:01:09.4616719Z * [new tag] trunk/add0b450bd9907ba9d089c79ca4af96c0590d8ff -> trunk/add0b450bd9907ba9d089c79ca4af96c0590d8ff 2025-07-17T07:01:09.4617893Z * [new tag] trunk/adf6dd1e44c1b006ea6078576b64d5616cecfa5a -> trunk/adf6dd1e44c1b006ea6078576b64d5616cecfa5a 2025-07-17T07:01:09.4619038Z * [new tag] trunk/adf9644440e0d007853e7fdfd67b6a59248f4fbb -> trunk/adf9644440e0d007853e7fdfd67b6a59248f4fbb 2025-07-17T07:01:09.4620272Z * [new tag] trunk/ae0f1f89847564b04bdc43395e664e48f08aaca2 -> trunk/ae0f1f89847564b04bdc43395e664e48f08aaca2 2025-07-17T07:01:09.4621597Z * [new tag] trunk/ae1094b72b7db368f292ed6033de5b495dcdc878 -> trunk/ae1094b72b7db368f292ed6033de5b495dcdc878 2025-07-17T07:01:09.4622733Z * [new tag] trunk/ae86e8f6c829a3cfa9204949156fce2d048c919b -> trunk/ae86e8f6c829a3cfa9204949156fce2d048c919b 2025-07-17T07:01:09.4623710Z * [new tag] trunk/aec569da2325c09487ab659a0f28c3b51e60d779 -> trunk/aec569da2325c09487ab659a0f28c3b51e60d779 2025-07-17T07:01:09.4624880Z * [new tag] trunk/aee2bfc5bae2974f5a3023d51dfa8e3e641144cc -> trunk/aee2bfc5bae2974f5a3023d51dfa8e3e641144cc 2025-07-17T07:01:09.4626010Z * [new tag] trunk/aeffb68d3466635e4e95c50bffd7dfebaba94da2 -> trunk/aeffb68d3466635e4e95c50bffd7dfebaba94da2 2025-07-17T07:01:09.4626978Z * [new tag] trunk/af284b45d5cbfd19d168bf1d118b3a40cd8b3a92 -> trunk/af284b45d5cbfd19d168bf1d118b3a40cd8b3a92 2025-07-17T07:01:09.4628116Z * [new tag] trunk/af3d06909400413801b726a96f3ff52b5ee9ebb5 -> trunk/af3d06909400413801b726a96f3ff52b5ee9ebb5 2025-07-17T07:01:09.4629108Z * [new tag] trunk/af9c92b4cb9f406129dfd8c64c082c0aaf7c723f -> trunk/af9c92b4cb9f406129dfd8c64c082c0aaf7c723f 2025-07-17T07:01:09.4630280Z * [new tag] trunk/aff9c1eec599b8fa97240d192534b0f650c16b1b -> trunk/aff9c1eec599b8fa97240d192534b0f650c16b1b 2025-07-17T07:01:09.4631210Z * [new tag] trunk/b00b641ff1fbfa8f4f6152ffc631e0d24145a7a8 -> trunk/b00b641ff1fbfa8f4f6152ffc631e0d24145a7a8 2025-07-17T07:01:09.4632088Z * [new tag] trunk/b020971e7806bba39aecf636e59e743911831ad8 -> trunk/b020971e7806bba39aecf636e59e743911831ad8 2025-07-17T07:01:09.4633248Z * [new tag] trunk/b0556110e58e3bcf2c872b933e4fd4a0d34398ad -> trunk/b0556110e58e3bcf2c872b933e4fd4a0d34398ad 2025-07-17T07:01:09.4634920Z * [new tag] trunk/b07725a9516028a485153c4b5356b3e33b990f81 -> trunk/b07725a9516028a485153c4b5356b3e33b990f81 2025-07-17T07:01:09.4635810Z * [new tag] trunk/b096341963c4af3b2b0d7f598eba1cdc1c74fb6e -> trunk/b096341963c4af3b2b0d7f598eba1cdc1c74fb6e 2025-07-17T07:01:09.4636946Z * [new tag] trunk/b09bd414a6ccba158c09f586a278051588d90936 -> trunk/b09bd414a6ccba158c09f586a278051588d90936 2025-07-17T07:01:09.4638186Z * [new tag] trunk/b0fbbef1361ccaab8a5aec8e7cd62150e7b361de -> trunk/b0fbbef1361ccaab8a5aec8e7cd62150e7b361de 2025-07-17T07:01:09.4639147Z * [new tag] trunk/b146ca74f01df3cf711fd0f855e05805e490156c -> trunk/b146ca74f01df3cf711fd0f855e05805e490156c 2025-07-17T07:01:09.4640329Z * [new tag] trunk/b146e1a264960e5fb79cf4621ebe4b1345db3e64 -> trunk/b146e1a264960e5fb79cf4621ebe4b1345db3e64 2025-07-17T07:01:09.4641236Z * [new tag] trunk/b147b6c0e31d43a405416743fde1b0b606aa3839 -> trunk/b147b6c0e31d43a405416743fde1b0b606aa3839 2025-07-17T07:01:09.4642445Z * [new tag] trunk/b1713c665516d8355f5491d10b31f98c74ce27f1 -> trunk/b1713c665516d8355f5491d10b31f98c74ce27f1 2025-07-17T07:01:09.4643417Z * [new tag] trunk/b1a54fab9bcb0cc167773f9a885d4170447e1c68 -> trunk/b1a54fab9bcb0cc167773f9a885d4170447e1c68 2025-07-17T07:01:09.4644403Z * [new tag] trunk/b1b8e57cda03bd016594a4fc4944fa5e7f9dd961 -> trunk/b1b8e57cda03bd016594a4fc4944fa5e7f9dd961 2025-07-17T07:01:09.4645543Z * [new tag] trunk/b1d62febd03ac421197d5516596f98d3c46e9b44 -> trunk/b1d62febd03ac421197d5516596f98d3c46e9b44 2025-07-17T07:01:09.4646668Z * [new tag] trunk/b221be9140689d180ec339db05c5e235a95949d3 -> trunk/b221be9140689d180ec339db05c5e235a95949d3 2025-07-17T07:01:09.4647947Z * [new tag] trunk/b22b93a6babf86e823e979528bc0aab88fb7a012 -> trunk/b22b93a6babf86e823e979528bc0aab88fb7a012 2025-07-17T07:01:09.4648930Z * [new tag] trunk/b26da7741be37693ab1cd21115f3fca15b1cdb6b -> trunk/b26da7741be37693ab1cd21115f3fca15b1cdb6b 2025-07-17T07:01:09.4650107Z * [new tag] trunk/b2d473c8f8a6d0677940c174b38511f5ab3c3b65 -> trunk/b2d473c8f8a6d0677940c174b38511f5ab3c3b65 2025-07-17T07:01:09.4651377Z * [new tag] trunk/b2fc9cfea16c8eb52c1ce79b2032793dd1a545fb -> trunk/b2fc9cfea16c8eb52c1ce79b2032793dd1a545fb 2025-07-17T07:01:09.4652298Z * [new tag] trunk/b30e04b3c8a83e19dc9123f2f0229d80e208fb50 -> trunk/b30e04b3c8a83e19dc9123f2f0229d80e208fb50 2025-07-17T07:01:09.4653551Z * [new tag] trunk/b354328ecd6a313eab905ab6f74aed5ea2d3a2ce -> trunk/b354328ecd6a313eab905ab6f74aed5ea2d3a2ce 2025-07-17T07:01:09.4654542Z * [new tag] trunk/b359571c6043b40c4ae4fbb07135fd0f04902e21 -> trunk/b359571c6043b40c4ae4fbb07135fd0f04902e21 2025-07-17T07:01:09.4655711Z * [new tag] trunk/b3b4d28f4cf149cb7448c556d359ca852d815ab1 -> trunk/b3b4d28f4cf149cb7448c556d359ca852d815ab1 2025-07-17T07:01:09.4656672Z * [new tag] trunk/b40981c63078d99bb07afbdcfec1ce8f7519f26b -> trunk/b40981c63078d99bb07afbdcfec1ce8f7519f26b 2025-07-17T07:01:09.4657861Z * [new tag] trunk/b40c0b61eb5f5b6104cb732e709819e84518faa7 -> trunk/b40c0b61eb5f5b6104cb732e709819e84518faa7 2025-07-17T07:01:09.4659218Z * [new tag] trunk/b4228a94d11b1ba6599f443267824d2d918644f2 -> trunk/b4228a94d11b1ba6599f443267824d2d918644f2 2025-07-17T07:01:09.4660641Z * [new tag] trunk/b44306d3681d5b248e6b439d293ea0d5a8903a61 -> trunk/b44306d3681d5b248e6b439d293ea0d5a8903a61 2025-07-17T07:01:09.4661601Z * [new tag] trunk/b4442f42a93390760bb923cbe13b80993f5e8e78 -> trunk/b4442f42a93390760bb923cbe13b80993f5e8e78 2025-07-17T07:01:09.4662579Z * [new tag] trunk/b4476ca378be50034bd5cdc1eaa95104337c998a -> trunk/b4476ca378be50034bd5cdc1eaa95104337c998a 2025-07-17T07:01:09.4663875Z * [new tag] trunk/b487003182b7f2d6697064f184515369bf6c8cce -> trunk/b487003182b7f2d6697064f184515369bf6c8cce 2025-07-17T07:01:09.4664791Z * [new tag] trunk/b49edc0d6c72f744d744a026b0ce0d689e34b83b -> trunk/b49edc0d6c72f744d744a026b0ce0d689e34b83b 2025-07-17T07:01:09.4665971Z * [new tag] trunk/b4e3c9ea34cb607324639cd0bb0129740c300721 -> trunk/b4e3c9ea34cb607324639cd0bb0129740c300721 2025-07-17T07:01:09.4666938Z * [new tag] trunk/b4fc42ca807efc1a1b78f52d5481711a4e8bbea3 -> trunk/b4fc42ca807efc1a1b78f52d5481711a4e8bbea3 2025-07-17T07:01:09.4668147Z * [new tag] trunk/b50075343aeb519d135e00c44ff3577eaa25c61b -> trunk/b50075343aeb519d135e00c44ff3577eaa25c61b 2025-07-17T07:01:09.4669369Z * [new tag] trunk/b54eac2a5ed31106393bbc338de8637817809a1f -> trunk/b54eac2a5ed31106393bbc338de8637817809a1f 2025-07-17T07:01:09.4670750Z * [new tag] trunk/b5bfbba1841da810305262c7f47ee2dae54f335e -> trunk/b5bfbba1841da810305262c7f47ee2dae54f335e 2025-07-17T07:01:09.4671673Z * [new tag] trunk/b5c8b8d09f006b1b2911858882a56dfe6e325f36 -> trunk/b5c8b8d09f006b1b2911858882a56dfe6e325f36 2025-07-17T07:01:09.4672868Z * [new tag] trunk/b5ce77c1f5964293299eb1366f341872a4e47fa6 -> trunk/b5ce77c1f5964293299eb1366f341872a4e47fa6 2025-07-17T07:01:09.4674120Z * [new tag] trunk/b60569ed946ddcc267150a675916d68d7cac9085 -> trunk/b60569ed946ddcc267150a675916d68d7cac9085 2025-07-17T07:01:09.4675260Z * [new tag] trunk/b6188174795956f959feae0cbc33cbdb7901c4b6 -> trunk/b6188174795956f959feae0cbc33cbdb7901c4b6 2025-07-17T07:01:09.4676402Z * [new tag] trunk/b642a5c118baf4cd47dd7fe0190b83e04cee960f -> trunk/b642a5c118baf4cd47dd7fe0190b83e04cee960f 2025-07-17T07:01:09.4677336Z * [new tag] trunk/b6454a9058f2e50be9a3c26c128fec843b09c154 -> trunk/b6454a9058f2e50be9a3c26c128fec843b09c154 2025-07-17T07:01:09.4678711Z * [new tag] trunk/b6add8c8ba927a9f1687134ec2734b02a6ccb3c0 -> trunk/b6add8c8ba927a9f1687134ec2734b02a6ccb3c0 2025-07-17T07:01:09.4679974Z * [new tag] trunk/b6c00dfe249a7bfc1d61a322d5bc30f164353abf -> trunk/b6c00dfe249a7bfc1d61a322d5bc30f164353abf 2025-07-17T07:01:09.4681160Z * [new tag] trunk/b6e625e34f358c71b62409f96dc1e22e4791beef -> trunk/b6e625e34f358c71b62409f96dc1e22e4791beef 2025-07-17T07:01:09.4682315Z * [new tag] trunk/b6f84b3b0fef781653911420253dcff6767197dc -> trunk/b6f84b3b0fef781653911420253dcff6767197dc 2025-07-17T07:01:09.4683318Z * [new tag] trunk/b754b1fa43d20f5b31e17c396487ab56991912da -> trunk/b754b1fa43d20f5b31e17c396487ab56991912da 2025-07-17T07:01:09.4684621Z * [new tag] trunk/b7860c7863df9139bceabf5b0c186e6e4287aa4c -> trunk/b7860c7863df9139bceabf5b0c186e6e4287aa4c 2025-07-17T07:01:09.4685773Z * [new tag] trunk/b7a73a2cdbbe46e04aa145fb8c1615e608dcbde9 -> trunk/b7a73a2cdbbe46e04aa145fb8c1615e608dcbde9 2025-07-17T07:01:09.4686761Z * [new tag] trunk/b7b1109f49f5d0bd6145ae47c5c7d7d18c5659b0 -> trunk/b7b1109f49f5d0bd6145ae47c5c7d7d18c5659b0 2025-07-17T07:01:09.4688043Z * [new tag] trunk/b7def5ff1ca72fbb06350ffc75117efc68e149fb -> trunk/b7def5ff1ca72fbb06350ffc75117efc68e149fb 2025-07-17T07:01:09.4688985Z * [new tag] trunk/b83d8827bcd63501d7298267d94d103bf591c6c2 -> trunk/b83d8827bcd63501d7298267d94d103bf591c6c2 2025-07-17T07:01:09.4690166Z * [new tag] trunk/b85f10ea5006e8ae8fc769f48659ab7ad5eafb69 -> trunk/b85f10ea5006e8ae8fc769f48659ab7ad5eafb69 2025-07-17T07:01:09.4691083Z * [new tag] trunk/b86d5cef68d56f3924dc199424e65904a32d0743 -> trunk/b86d5cef68d56f3924dc199424e65904a32d0743 2025-07-17T07:01:09.4692389Z * [new tag] trunk/b878ca0c91bdccbdd907c15a01e5dcf249f0783c -> trunk/b878ca0c91bdccbdd907c15a01e5dcf249f0783c 2025-07-17T07:01:09.4693387Z * [new tag] trunk/b8ace6f95105751d0535cb0ce0d2c8f656c8b96c -> trunk/b8ace6f95105751d0535cb0ce0d2c8f656c8b96c 2025-07-17T07:01:09.4694697Z * [new tag] trunk/b8aee84fb9692f1a46c8c2a0ae6685df440f6e8f -> trunk/b8aee84fb9692f1a46c8c2a0ae6685df440f6e8f 2025-07-17T07:01:09.4695535Z * [new tag] trunk/b8bc2c2660e84034ff15232e2161e3ef9a6656d0 -> trunk/b8bc2c2660e84034ff15232e2161e3ef9a6656d0 2025-07-17T07:01:09.4696752Z * [new tag] trunk/b8c2d4c259b16f3dc044d049d964c44907ccecb6 -> trunk/b8c2d4c259b16f3dc044d049d964c44907ccecb6 2025-07-17T07:01:09.4697716Z * [new tag] trunk/b8d96c3f78a27e193f4fa9580f8d28298c8180e3 -> trunk/b8d96c3f78a27e193f4fa9580f8d28298c8180e3 2025-07-17T07:01:09.4698873Z * [new tag] trunk/b8fc5e0c0dda5da8315f9bc108a83a0f92252513 -> trunk/b8fc5e0c0dda5da8315f9bc108a83a0f92252513 2025-07-17T07:01:09.4699889Z * [new tag] trunk/b916d8a583cf4fb018c44eaf5efefa9ca76da366 -> trunk/b916d8a583cf4fb018c44eaf5efefa9ca76da366 2025-07-17T07:01:09.4701111Z * [new tag] trunk/b95dadd7170626273bb03b1264f04f3f051908da -> trunk/b95dadd7170626273bb03b1264f04f3f051908da 2025-07-17T07:01:09.4702044Z * [new tag] trunk/b981fb6744d034a0b2a0baf7e138cfb8dc83ca96 -> trunk/b981fb6744d034a0b2a0baf7e138cfb8dc83ca96 2025-07-17T07:01:09.4703299Z * [new tag] trunk/b9afdd9bcc738697c6eefc90899508ab783bf6ab -> trunk/b9afdd9bcc738697c6eefc90899508ab783bf6ab 2025-07-17T07:01:09.4704325Z * [new tag] trunk/b9b84d8011b08ac62cabf9100043c65863372fea -> trunk/b9b84d8011b08ac62cabf9100043c65863372fea 2025-07-17T07:01:09.4705520Z * [new tag] trunk/b9dc2fa4f7aa237a19248705abf82f5eae662182 -> trunk/b9dc2fa4f7aa237a19248705abf82f5eae662182 2025-07-17T07:01:09.4707238Z * [new tag] trunk/ba0d0de5e652650f8a59c85fc25a90f4ed9e2dc1 -> trunk/ba0d0de5e652650f8a59c85fc25a90f4ed9e2dc1 2025-07-17T07:01:09.4708185Z * [new tag] trunk/bb1f3d1a55e3f8eafb279995824c1ef87f24b341 -> trunk/bb1f3d1a55e3f8eafb279995824c1ef87f24b341 2025-07-17T07:01:09.4709412Z * [new tag] trunk/bb3c911c2d64ccad03349e50a0a220a2889ae85c -> trunk/bb3c911c2d64ccad03349e50a0a220a2889ae85c 2025-07-17T07:01:09.4710659Z * [new tag] trunk/bb462a6237c163774c99e01462703ebce55f4589 -> trunk/bb462a6237c163774c99e01462703ebce55f4589 2025-07-17T07:01:09.4711819Z * [new tag] trunk/bb476310a456b1fd418c79573ed34ad68b4871d4 -> trunk/bb476310a456b1fd418c79573ed34ad68b4871d4 2025-07-17T07:01:09.4712956Z * [new tag] trunk/bbb930aba2e769e3ed981f2a035133891de36dae -> trunk/bbb930aba2e769e3ed981f2a035133891de36dae 2025-07-17T07:01:09.4713954Z * [new tag] trunk/bbbced94a43cf764ddfe719e7d4c161a3992830c -> trunk/bbbced94a43cf764ddfe719e7d4c161a3992830c 2025-07-17T07:01:09.4715058Z * [new tag] trunk/bbe681ed510227ce05f99db2a36c1af5c2cc302b -> trunk/bbe681ed510227ce05f99db2a36c1af5c2cc302b 2025-07-17T07:01:09.4716202Z * [new tag] trunk/bbf1a6feac0e88772be103a1b159b871b5c00b4a -> trunk/bbf1a6feac0e88772be103a1b159b871b5c00b4a 2025-07-17T07:01:09.4717403Z * [new tag] trunk/bc3972b80a7abe85036f48b610532fce39ea5097 -> trunk/bc3972b80a7abe85036f48b610532fce39ea5097 2025-07-17T07:01:09.4718521Z * [new tag] trunk/bc5a11b58180d40157175f45c69d60a9b9961315 -> trunk/bc5a11b58180d40157175f45c69d60a9b9961315 2025-07-17T07:01:09.4719649Z * [new tag] trunk/bc65253369933160a2da3fc786d027a572faf6b7 -> trunk/bc65253369933160a2da3fc786d027a572faf6b7 2025-07-17T07:01:09.4720609Z * [new tag] trunk/bc6e0661a6ec7e536bee60b9c929f71643bb6c89 -> trunk/bc6e0661a6ec7e536bee60b9c929f71643bb6c89 2025-07-17T07:01:09.4721899Z * [new tag] trunk/bc9091a524a1ebe4de16af4dd8f442db7d1cb138 -> trunk/bc9091a524a1ebe4de16af4dd8f442db7d1cb138 2025-07-17T07:01:09.4722882Z * [new tag] trunk/bc9bd2a766ae8cf2aba8f3d0153cd8ecd05b4465 -> trunk/bc9bd2a766ae8cf2aba8f3d0153cd8ecd05b4465 2025-07-17T07:01:09.4724146Z * [new tag] trunk/bcad962550f2bfd850684250a3c881c9f38ad601 -> trunk/bcad962550f2bfd850684250a3c881c9f38ad601 2025-07-17T07:01:09.4725083Z * [new tag] trunk/bcc98bb2a4dd11ac696082731f8980b72deb6750 -> trunk/bcc98bb2a4dd11ac696082731f8980b72deb6750 2025-07-17T07:01:09.4726357Z * [new tag] trunk/bccb8473fed94dbc6f1392d0c5b4a51150ee4a9a -> trunk/bccb8473fed94dbc6f1392d0c5b4a51150ee4a9a 2025-07-17T07:01:09.4727471Z * [new tag] trunk/bcf50636ba1b93a833267c645d887888df06e9ea -> trunk/bcf50636ba1b93a833267c645d887888df06e9ea 2025-07-17T07:01:09.4728590Z * [new tag] trunk/bd364c901d5b20500ec5cbe275e93c955809d900 -> trunk/bd364c901d5b20500ec5cbe275e93c955809d900 2025-07-17T07:01:09.4729554Z * [new tag] trunk/bd3c32916cf5f85ddb9dd3c36e7311adfa8808af -> trunk/bd3c32916cf5f85ddb9dd3c36e7311adfa8808af 2025-07-17T07:01:09.4730719Z * [new tag] trunk/bd6b5fddbf5fb0b603ab8a7428079d9a86cf532a -> trunk/bd6b5fddbf5fb0b603ab8a7428079d9a86cf532a 2025-07-17T07:01:09.4731672Z * [new tag] trunk/bdacf08b8682b9fbe3a8656a53b1f8b1cb007fd8 -> trunk/bdacf08b8682b9fbe3a8656a53b1f8b1cb007fd8 2025-07-17T07:01:09.4733180Z * [new tag] trunk/bdb1553b77bb28df580ea41d726417ac91028ec6 -> trunk/bdb1553b77bb28df580ea41d726417ac91028ec6 2025-07-17T07:01:09.4734088Z * [new tag] trunk/bdb78191662c01ab1263108febac29a8560337d0 -> trunk/bdb78191662c01ab1263108febac29a8560337d0 2025-07-17T07:01:09.4735260Z * [new tag] trunk/bdbf2792a8f15907f6bbf231f73dab0e8efe1c50 -> trunk/bdbf2792a8f15907f6bbf231f73dab0e8efe1c50 2025-07-17T07:01:09.4736247Z * [new tag] trunk/be124a61a4933603795644d068d2c0e5f444e766 -> trunk/be124a61a4933603795644d068d2c0e5f444e766 2025-07-17T07:01:09.4737480Z * [new tag] trunk/be2ab96347a1e7206a57f69b58263c4455ff8f76 -> trunk/be2ab96347a1e7206a57f69b58263c4455ff8f76 2025-07-17T07:01:09.4738717Z * [new tag] trunk/be2ad70cfa1360da5c23a04ff6ca3480fa02f278 -> trunk/be2ad70cfa1360da5c23a04ff6ca3480fa02f278 2025-07-17T07:01:09.4739777Z * [new tag] trunk/be2e43264d0bce254efabcc60c368d1418bde57f -> trunk/be2e43264d0bce254efabcc60c368d1418bde57f 2025-07-17T07:01:09.4741056Z * [new tag] trunk/be56a8d7ac0dc72f6946354d7ac5be9ece0f1c35 -> trunk/be56a8d7ac0dc72f6946354d7ac5be9ece0f1c35 2025-07-17T07:01:09.4742054Z * [new tag] trunk/beb52f5c0ac8efddeafa862f274bc247db989695 -> trunk/beb52f5c0ac8efddeafa862f274bc247db989695 2025-07-17T07:01:09.4743347Z * [new tag] trunk/bee93f9f0d16f4f563812bb5c16e862de15724c1 -> trunk/bee93f9f0d16f4f563812bb5c16e862de15724c1 2025-07-17T07:01:09.4744155Z * [new tag] trunk/beed033b6e6ac57c0b4a1f47eb436e115a52e41b -> trunk/beed033b6e6ac57c0b4a1f47eb436e115a52e41b 2025-07-17T07:01:09.4745407Z * [new tag] trunk/bf06190e21fdf539c13e1ec01271653d0729733a -> trunk/bf06190e21fdf539c13e1ec01271653d0729733a 2025-07-17T07:01:09.4746679Z * [new tag] trunk/bf1ebe0531e1b0390ea09d66ac78500d3c6d3a15 -> trunk/bf1ebe0531e1b0390ea09d66ac78500d3c6d3a15 2025-07-17T07:01:09.4747621Z * [new tag] trunk/bf50d715539acedcb31a6d8f787149eff6213fdb -> trunk/bf50d715539acedcb31a6d8f787149eff6213fdb 2025-07-17T07:01:09.4748789Z * [new tag] trunk/bf798a2f016ca0001750436150e7a2bdb2676d1a -> trunk/bf798a2f016ca0001750436150e7a2bdb2676d1a 2025-07-17T07:01:09.4749698Z * [new tag] trunk/bf7e290854b7f0ab3fb89251d0100821f1b3a70e -> trunk/bf7e290854b7f0ab3fb89251d0100821f1b3a70e 2025-07-17T07:01:09.4751298Z * [new tag] trunk/bf897b4cea2b7481499a81afa30bfc69a8e685c4 -> trunk/bf897b4cea2b7481499a81afa30bfc69a8e685c4 2025-07-17T07:01:09.4752286Z * [new tag] trunk/bfcababbcb95ec42046737dbcf61f8e258075ace -> trunk/bfcababbcb95ec42046737dbcf61f8e258075ace 2025-07-17T07:01:09.4753510Z * [new tag] trunk/bfccfa0b31221d5df0b263de5a41fb9f7c84b97d -> trunk/bfccfa0b31221d5df0b263de5a41fb9f7c84b97d 2025-07-17T07:01:09.4754274Z * [new tag] trunk/c038719731abdcd415a5e82c5f3826f2358229fc -> trunk/c038719731abdcd415a5e82c5f3826f2358229fc 2025-07-17T07:01:09.4755423Z * [new tag] trunk/c04a4e709410936c12cdc9db5aaf47164f74a367 -> trunk/c04a4e709410936c12cdc9db5aaf47164f74a367 2025-07-17T07:01:09.4756763Z * [new tag] trunk/c062550a3598d27c2d6572db7c0f4ff90a84cc84 -> trunk/c062550a3598d27c2d6572db7c0f4ff90a84cc84 2025-07-17T07:01:09.4757957Z * [new tag] trunk/c06c2569ee53c169c96f42b45bdb64f390d2f23b -> trunk/c06c2569ee53c169c96f42b45bdb64f390d2f23b 2025-07-17T07:01:09.4758892Z * [new tag] trunk/c09b05487877a3f8b239523b3806f5dd9fc82051 -> trunk/c09b05487877a3f8b239523b3806f5dd9fc82051 2025-07-17T07:01:09.4760188Z * [new tag] trunk/c09cf29d7d010c0547f2f6771921a0ee2ec4904b -> trunk/c09cf29d7d010c0547f2f6771921a0ee2ec4904b 2025-07-17T07:01:09.4761325Z * [new tag] trunk/c09eba877f9c16908b3a925ef694604c1c761b85 -> trunk/c09eba877f9c16908b3a925ef694604c1c761b85 2025-07-17T07:01:09.4762502Z * [new tag] trunk/c0e155a8d230b04f186d1b7540b01213be2b9fc6 -> trunk/c0e155a8d230b04f186d1b7540b01213be2b9fc6 2025-07-17T07:01:09.4764217Z * [new tag] trunk/c0ee01c2fb54e2ae924270f7fd53069915a61a50 -> trunk/c0ee01c2fb54e2ae924270f7fd53069915a61a50 2025-07-17T07:01:09.4765357Z * [new tag] trunk/c10339559de1464c2c5aeb16649c382eefcfb572 -> trunk/c10339559de1464c2c5aeb16649c382eefcfb572 2025-07-17T07:01:09.4766293Z * [new tag] trunk/c11888e7a6557ff64e24ca06e22946c116a7c1e4 -> trunk/c11888e7a6557ff64e24ca06e22946c116a7c1e4 2025-07-17T07:01:09.4767652Z * [new tag] trunk/c13e725edd8dd21406c629bf625f2d6c59ceedd1 -> trunk/c13e725edd8dd21406c629bf625f2d6c59ceedd1 2025-07-17T07:01:09.4768615Z * [new tag] trunk/c14110056f1b6e989850f20ae56d47fbc775e890 -> trunk/c14110056f1b6e989850f20ae56d47fbc775e890 2025-07-17T07:01:09.4769995Z * [new tag] trunk/c1446e1e9d2f5a1bae5fb3d58e58f16c15bb15c3 -> trunk/c1446e1e9d2f5a1bae5fb3d58e58f16c15bb15c3 2025-07-17T07:01:09.4771225Z * [new tag] trunk/c165b36a31585d4e061a84e1977428afd931b82d -> trunk/c165b36a31585d4e061a84e1977428afd931b82d 2025-07-17T07:01:09.4772047Z * [new tag] trunk/c174f3a6a55864cedb8f6d9014e9b8cadf91186b -> trunk/c174f3a6a55864cedb8f6d9014e9b8cadf91186b 2025-07-17T07:01:09.4773372Z * [new tag] trunk/c177abd217ecef5cc096d50adbf5990525714dd3 -> trunk/c177abd217ecef5cc096d50adbf5990525714dd3 2025-07-17T07:01:09.4774355Z * [new tag] trunk/c199a4d0fd03ab3f7e36c6133839cfaf34ba59da -> trunk/c199a4d0fd03ab3f7e36c6133839cfaf34ba59da 2025-07-17T07:01:09.4775548Z * [new tag] trunk/c1a629f76d0afc2ddb4a5c7c1925caa1d12b5a5e -> trunk/c1a629f76d0afc2ddb4a5c7c1925caa1d12b5a5e 2025-07-17T07:01:09.4776496Z * [new tag] trunk/c1ad4b8e7a16f54c35a3908b56ed7d9f95eef586 -> trunk/c1ad4b8e7a16f54c35a3908b56ed7d9f95eef586 2025-07-17T07:01:09.4777657Z * [new tag] trunk/c1ae768baa9598ea97f301999a227b34a2efdecf -> trunk/c1ae768baa9598ea97f301999a227b34a2efdecf 2025-07-17T07:01:09.4778623Z * [new tag] trunk/c1cbaca7fd9937c0a089d98aa69066daf35c898f -> trunk/c1cbaca7fd9937c0a089d98aa69066daf35c898f 2025-07-17T07:01:09.4780331Z * [new tag] trunk/c1f531f0b0e6faf443d90f8de2936e866c8c27c2 -> trunk/c1f531f0b0e6faf443d90f8de2936e866c8c27c2 2025-07-17T07:01:09.4781503Z * [new tag] trunk/c202a7329ad798da676762a8af2aa588f882d288 -> trunk/c202a7329ad798da676762a8af2aa588f882d288 2025-07-17T07:01:09.4782667Z * [new tag] trunk/c2185dc4a5626848df37cad214b73d5ae7dd4f17 -> trunk/c2185dc4a5626848df37cad214b73d5ae7dd4f17 2025-07-17T07:01:09.4783858Z * [new tag] trunk/c219dbd2fc70227ba543c98e9740a84723ba36da -> trunk/c219dbd2fc70227ba543c98e9740a84723ba36da 2025-07-17T07:01:09.4784898Z * [new tag] trunk/c2510fcd86152028c3e6cf483740b177a10ac9b9 -> trunk/c2510fcd86152028c3e6cf483740b177a10ac9b9 2025-07-17T07:01:09.4786033Z * [new tag] trunk/c26ce593d8737cab4b55483b62956a6fea9e4375 -> trunk/c26ce593d8737cab4b55483b62956a6fea9e4375 2025-07-17T07:01:09.4787184Z * [new tag] trunk/c27f83dd91ff3599b5157866e6be014c20b967a0 -> trunk/c27f83dd91ff3599b5157866e6be014c20b967a0 2025-07-17T07:01:09.4788296Z * [new tag] trunk/c28e74e45743feac10559c30dbf71cc35bc12ccb -> trunk/c28e74e45743feac10559c30dbf71cc35bc12ccb 2025-07-17T07:01:09.4789362Z * [new tag] trunk/c2beeadeb40e927c51bc5bcd409b3f28374a5190 -> trunk/c2beeadeb40e927c51bc5bcd409b3f28374a5190 2025-07-17T07:01:09.4790604Z * [new tag] trunk/c2d1b225e62bdf3adbba91891f53bc60315adaac -> trunk/c2d1b225e62bdf3adbba91891f53bc60315adaac 2025-07-17T07:01:09.4791591Z * [new tag] trunk/c2f4cc59a70bfd7d7e46e9b5596bae8e4ae2cf9c -> trunk/c2f4cc59a70bfd7d7e46e9b5596bae8e4ae2cf9c 2025-07-17T07:01:09.4792820Z * [new tag] trunk/c329a8f19cc94cb7f9d3fc814484cded138ee3ca -> trunk/c329a8f19cc94cb7f9d3fc814484cded138ee3ca 2025-07-17T07:01:09.4793988Z * [new tag] trunk/c37ddcaefbe9b877e1816ce97dedb8ad26d09450 -> trunk/c37ddcaefbe9b877e1816ce97dedb8ad26d09450 2025-07-17T07:01:09.4795110Z * [new tag] trunk/c3ecabf0593066750156989fc75acbeeaddf0791 -> trunk/c3ecabf0593066750156989fc75acbeeaddf0791 2025-07-17T07:01:09.4796317Z * [new tag] trunk/c48d0f4643b7a69ebe24069e932ce1465a31cdbe -> trunk/c48d0f4643b7a69ebe24069e932ce1465a31cdbe 2025-07-17T07:01:09.4797489Z * [new tag] trunk/c4b93e6579c8e2f1252067c4923cbb859c476fb4 -> trunk/c4b93e6579c8e2f1252067c4923cbb859c476fb4 2025-07-17T07:01:09.4798636Z * [new tag] trunk/c4cdcda754e2b73b030902dd06fb651c7a026510 -> trunk/c4cdcda754e2b73b030902dd06fb651c7a026510 2025-07-17T07:01:09.4799581Z * [new tag] trunk/c515385b0ac4a94deef652159e71fe0912615d14 -> trunk/c515385b0ac4a94deef652159e71fe0912615d14 2025-07-17T07:01:09.4800873Z * [new tag] trunk/c54778625ec45b94eb97f52da3ad6c2eb3d3c3c9 -> trunk/c54778625ec45b94eb97f52da3ad6c2eb3d3c3c9 2025-07-17T07:01:09.4802036Z * [new tag] trunk/c553c55be76daaf70d977a4ac7664b46cbcfa7c4 -> trunk/c553c55be76daaf70d977a4ac7664b46cbcfa7c4 2025-07-17T07:01:09.4803002Z * [new tag] trunk/c5589074e64b28afd737174ae1e9c2ba0b925e56 -> trunk/c5589074e64b28afd737174ae1e9c2ba0b925e56 2025-07-17T07:01:09.4804238Z * [new tag] trunk/c55eef79f8880e4b610a0ca6f6131e690dc948dd -> trunk/c55eef79f8880e4b610a0ca6f6131e690dc948dd 2025-07-17T07:01:09.4805220Z * [new tag] trunk/c5a4fe9c17bc20eb46b15fda554d17030bb6a5b9 -> trunk/c5a4fe9c17bc20eb46b15fda554d17030bb6a5b9 2025-07-17T07:01:09.4806449Z * [new tag] trunk/c5b46b5408e136a5a3060b11a96afa51bd009fd5 -> trunk/c5b46b5408e136a5a3060b11a96afa51bd009fd5 2025-07-17T07:01:09.4807583Z * [new tag] trunk/c5d00e150ad503510bf28adf09f69201aeb94f5c -> trunk/c5d00e150ad503510bf28adf09f69201aeb94f5c 2025-07-17T07:01:09.4808489Z * [new tag] trunk/c5d3e7a4ff460eed70b8443485a7e3568e87aee9 -> trunk/c5d3e7a4ff460eed70b8443485a7e3568e87aee9 2025-07-17T07:01:09.4809652Z * [new tag] trunk/c60327ba74f4db232a2832f2c7ca4b2db43a3132 -> trunk/c60327ba74f4db232a2832f2c7ca4b2db43a3132 2025-07-17T07:01:09.4810821Z * [new tag] trunk/c60d8188d23801d44343c96746ec2e7d2971c5d7 -> trunk/c60d8188d23801d44343c96746ec2e7d2971c5d7 2025-07-17T07:01:09.4811961Z * [new tag] trunk/c620d0b5c7e8679413d620624725471223ce8359 -> trunk/c620d0b5c7e8679413d620624725471223ce8359 2025-07-17T07:01:09.4812820Z * [new tag] trunk/c68af9af1b3652a8e25bd6d0ff8dae89f206a81a -> trunk/c68af9af1b3652a8e25bd6d0ff8dae89f206a81a 2025-07-17T07:01:09.4814147Z * [new tag] trunk/c6a27bae3656021720074520ac6dad9cebe83ff5 -> trunk/c6a27bae3656021720074520ac6dad9cebe83ff5 2025-07-17T07:01:09.4816371Z * [new tag] trunk/c6b4f98625bb6b22bb9a60112a6d58e684a97e1b -> trunk/c6b4f98625bb6b22bb9a60112a6d58e684a97e1b 2025-07-17T07:01:09.4817713Z * [new tag] trunk/c74fd35050a7241f0c439501ef735aa6cdde751f -> trunk/c74fd35050a7241f0c439501ef735aa6cdde751f 2025-07-17T07:01:09.4818782Z * [new tag] trunk/c75c732481915c25295a0ae6321d39aa314eaa93 -> trunk/c75c732481915c25295a0ae6321d39aa314eaa93 2025-07-17T07:01:09.4820044Z * [new tag] trunk/c78bbdf4102d2c13bf6aa1abe4352aa7bca401ca -> trunk/c78bbdf4102d2c13bf6aa1abe4352aa7bca401ca 2025-07-17T07:01:09.4821463Z * [new tag] trunk/c78fce9e79b79686b87f4007cbaec819bdd0223f -> trunk/c78fce9e79b79686b87f4007cbaec819bdd0223f 2025-07-17T07:01:09.4824193Z * [new tag] trunk/c79c7bbe615265b6b3d7df39d6d5a68afd7d6b2a -> trunk/c79c7bbe615265b6b3d7df39d6d5a68afd7d6b2a 2025-07-17T07:01:09.4825002Z * [new tag] trunk/c7b6c98d1097bec9dc92bde2fe324aa126a5daa2 -> trunk/c7b6c98d1097bec9dc92bde2fe324aa126a5daa2 2025-07-17T07:01:09.4825414Z * [new tag] trunk/c808af514d59e25ea4a880c1e1e07d3232984e5d -> trunk/c808af514d59e25ea4a880c1e1e07d3232984e5d 2025-07-17T07:01:09.4826186Z * [new tag] trunk/c811f41cf58238b49e9c2f0a9fa00dcc471b2e10 -> trunk/c811f41cf58238b49e9c2f0a9fa00dcc471b2e10 2025-07-17T07:01:09.4826932Z * [new tag] trunk/c82a174ceab79f77ba18405dd263eb03692608fd -> trunk/c82a174ceab79f77ba18405dd263eb03692608fd 2025-07-17T07:01:09.4828011Z * [new tag] trunk/c83041cac2e9ca537b210b74876dbcee5e08ae9a -> trunk/c83041cac2e9ca537b210b74876dbcee5e08ae9a 2025-07-17T07:01:09.4829086Z * [new tag] trunk/c843909d9e32f92b2e31cf9b8f066daf311a6f18 -> trunk/c843909d9e32f92b2e31cf9b8f066daf311a6f18 2025-07-17T07:01:09.4830182Z * [new tag] trunk/c88e87f3553b7ef0b743fb030317fabb6fe2dc29 -> trunk/c88e87f3553b7ef0b743fb030317fabb6fe2dc29 2025-07-17T07:01:09.4831206Z * [new tag] trunk/c8c221c0b3abbb8b5e20138080644dd5f5cd0aa1 -> trunk/c8c221c0b3abbb8b5e20138080644dd5f5cd0aa1 2025-07-17T07:01:09.4832340Z * [new tag] trunk/c8c892b4a50fdad624753db5b8d2bbb0fc5bb110 -> trunk/c8c892b4a50fdad624753db5b8d2bbb0fc5bb110 2025-07-17T07:01:09.4833323Z * [new tag] trunk/c8d39a10457ea5d65184c6e8f037f46c5525d869 -> trunk/c8d39a10457ea5d65184c6e8f037f46c5525d869 2025-07-17T07:01:09.4834524Z * [new tag] trunk/c9174a20f75ba007b0f520326ced5c65d8a2b269 -> trunk/c9174a20f75ba007b0f520326ced5c65d8a2b269 2025-07-17T07:01:09.4835416Z * [new tag] trunk/c92f1075aaf3649f6368af2a3df9b5167f941b3f -> trunk/c92f1075aaf3649f6368af2a3df9b5167f941b3f 2025-07-17T07:01:09.4836442Z * [new tag] trunk/c9404faacb7c18af17086be26587b46e141afbcc -> trunk/c9404faacb7c18af17086be26587b46e141afbcc 2025-07-17T07:01:09.4837496Z * [new tag] trunk/c95705dac2da8134c946cdd573944632ef22f230 -> trunk/c95705dac2da8134c946cdd573944632ef22f230 2025-07-17T07:01:09.4838506Z * [new tag] trunk/c95f7fa874a3116f1067f9092456ee7281003614 -> trunk/c95f7fa874a3116f1067f9092456ee7281003614 2025-07-17T07:01:09.4839694Z * [new tag] trunk/c9a5bf09baa1a6776555e901331b1baefe6691bc -> trunk/c9a5bf09baa1a6776555e901331b1baefe6691bc 2025-07-17T07:01:09.4840797Z * [new tag] trunk/c9afcffed0870c211d2e8be422812d6a70aef3e2 -> trunk/c9afcffed0870c211d2e8be422812d6a70aef3e2 2025-07-17T07:01:09.4841835Z * [new tag] trunk/c9e9a0c82316ed59f6ef989a6000f0d5231b9b16 -> trunk/c9e9a0c82316ed59f6ef989a6000f0d5231b9b16 2025-07-17T07:01:09.4842950Z * [new tag] trunk/ca3cabd24ace1899ca4669431f5b0556c5ab9ebf -> trunk/ca3cabd24ace1899ca4669431f5b0556c5ab9ebf 2025-07-17T07:01:09.4843990Z * [new tag] trunk/ca5a40395d8b212dce0a57df01ca056eae55446f -> trunk/ca5a40395d8b212dce0a57df01ca056eae55446f 2025-07-17T07:01:09.4845117Z * [new tag] trunk/cadcb5d36802579441da3dbe3c2eecc74a0eae78 -> trunk/cadcb5d36802579441da3dbe3c2eecc74a0eae78 2025-07-17T07:01:09.4846060Z * [new tag] trunk/cb711c8fa04673d3490306e2b14539ab7dca3c23 -> trunk/cb711c8fa04673d3490306e2b14539ab7dca3c23 2025-07-17T07:01:09.4847252Z * [new tag] trunk/cb853945a77af54d9989ae7ac36d0007c0215b10 -> trunk/cb853945a77af54d9989ae7ac36d0007c0215b10 2025-07-17T07:01:09.4848139Z * [new tag] trunk/cb9b479f4f799eea058de9be3a0e09f977fc82da -> trunk/cb9b479f4f799eea058de9be3a0e09f977fc82da 2025-07-17T07:01:09.4849220Z * [new tag] trunk/cbafba57941c1d5f78640845320ac89157570b44 -> trunk/cbafba57941c1d5f78640845320ac89157570b44 2025-07-17T07:01:09.4850298Z * [new tag] trunk/cbcffce48a3422a5e9a2103888248c82d52d199c -> trunk/cbcffce48a3422a5e9a2103888248c82d52d199c 2025-07-17T07:01:09.4851385Z * [new tag] trunk/cc09d3a5ba2a5ae032078570e6123d523952ed22 -> trunk/cc09d3a5ba2a5ae032078570e6123d523952ed22 2025-07-17T07:01:09.4852983Z * [new tag] trunk/cc0faeb80fff17b3d170aa70041865aafb1790a9 -> trunk/cc0faeb80fff17b3d170aa70041865aafb1790a9 2025-07-17T07:01:09.4853934Z * [new tag] trunk/cc3ea2d84004b6348c77a285ba2639932b87c101 -> trunk/cc3ea2d84004b6348c77a285ba2639932b87c101 2025-07-17T07:01:09.4854984Z * [new tag] trunk/cc410d3761001499611bca6cf835239b86093791 -> trunk/cc410d3761001499611bca6cf835239b86093791 2025-07-17T07:01:09.4856210Z * [new tag] trunk/ccb1f687d63f0215ebcf3c1340c6682edeaccd28 -> trunk/ccb1f687d63f0215ebcf3c1340c6682edeaccd28 2025-07-17T07:01:09.4857099Z * [new tag] trunk/ccb67f39b4d75943cdc531d9032b3ba9235cfd56 -> trunk/ccb67f39b4d75943cdc531d9032b3ba9235cfd56 2025-07-17T07:01:09.4858576Z * [new tag] trunk/ccc6279b4086d55cd1f7e2d699473478610d8a7b -> trunk/ccc6279b4086d55cd1f7e2d699473478610d8a7b 2025-07-17T07:01:09.4859649Z * [new tag] trunk/cce4d213a67b7536dce431fd29c92f9791c9f81d -> trunk/cce4d213a67b7536dce431fd29c92f9791c9f81d 2025-07-17T07:01:09.4860719Z * [new tag] trunk/cd1a924dba145334aacb7c1b7276d6cef7ca41cc -> trunk/cd1a924dba145334aacb7c1b7276d6cef7ca41cc 2025-07-17T07:01:09.4861612Z * [new tag] trunk/cd361fc247a9abdbe9851867e31ac3cefcff299e -> trunk/cd361fc247a9abdbe9851867e31ac3cefcff299e 2025-07-17T07:01:09.4862791Z * [new tag] trunk/cd66ff80307862ef8e75520054ecd19a5eff9f7e -> trunk/cd66ff80307862ef8e75520054ecd19a5eff9f7e 2025-07-17T07:01:09.4863867Z * [new tag] trunk/cd75cf3cabedeac2ae4bbb266c05ca9b64181abe -> trunk/cd75cf3cabedeac2ae4bbb266c05ca9b64181abe 2025-07-17T07:01:09.4864961Z * [new tag] trunk/cd80f9a4c35a63ef415dbf6a361e4520a9cabf7b -> trunk/cd80f9a4c35a63ef415dbf6a361e4520a9cabf7b 2025-07-17T07:01:09.4866008Z * [new tag] trunk/cd82096973985042ed2eaa84e69fbf0f067f9301 -> trunk/cd82096973985042ed2eaa84e69fbf0f067f9301 2025-07-17T07:01:09.4867068Z * [new tag] trunk/cd995bfb2aac8891465809be3ce29543bd524287 -> trunk/cd995bfb2aac8891465809be3ce29543bd524287 2025-07-17T07:01:09.4868171Z * [new tag] trunk/cdb144fcf0aa4300c6de7158cb18ff7503d48492 -> trunk/cdb144fcf0aa4300c6de7158cb18ff7503d48492 2025-07-17T07:01:09.4869228Z * [new tag] trunk/cdfa33a328f2d3fdaeb645fde186194ddc2e66c0 -> trunk/cdfa33a328f2d3fdaeb645fde186194ddc2e66c0 2025-07-17T07:01:09.4870065Z * [new tag] trunk/ce1a07570d95cdd1543b9b2d45b3899c59e6802f -> trunk/ce1a07570d95cdd1543b9b2d45b3899c59e6802f 2025-07-17T07:01:09.4871017Z * [new tag] trunk/ce3406817d50b3357fa644784cc84ff167ce40ce -> trunk/ce3406817d50b3357fa644784cc84ff167ce40ce 2025-07-17T07:01:09.4872212Z * [new tag] trunk/ce44877961af7c8ec618f525853ce7edf3efa4eb -> trunk/ce44877961af7c8ec618f525853ce7edf3efa4eb 2025-07-17T07:01:09.4873310Z * [new tag] trunk/ce6e0523f9911c605860c4f5f278c2dad893dde9 -> trunk/ce6e0523f9911c605860c4f5f278c2dad893dde9 2025-07-17T07:01:09.4874463Z * [new tag] trunk/ce73b0c53f1f215345dcfe3953871a4aaf170a0c -> trunk/ce73b0c53f1f215345dcfe3953871a4aaf170a0c 2025-07-17T07:01:09.4875385Z * [new tag] trunk/ce79056471737557dcc64378985cd2b036e7322c -> trunk/ce79056471737557dcc64378985cd2b036e7322c 2025-07-17T07:01:09.4876586Z * [new tag] trunk/ce8180a61de405c519e00ac48eab8ff765ea71e6 -> trunk/ce8180a61de405c519e00ac48eab8ff765ea71e6 2025-07-17T07:01:09.4877765Z * [new tag] trunk/ce97a5dcfa3cb10c7805ff5cb44abd6a16b4ae8b -> trunk/ce97a5dcfa3cb10c7805ff5cb44abd6a16b4ae8b 2025-07-17T07:01:09.4878895Z * [new tag] trunk/ce9ba071fd29013e72100dd97728d01c860720d9 -> trunk/ce9ba071fd29013e72100dd97728d01c860720d9 2025-07-17T07:01:09.4880087Z * [new tag] trunk/cec264c8c6d74d4fbf5ee31983737b8b5e316dd0 -> trunk/cec264c8c6d74d4fbf5ee31983737b8b5e316dd0 2025-07-17T07:01:09.4881070Z * [new tag] trunk/cec59b76ca606c3e5d34ac0d0f9e0e22b8cfe5bb -> trunk/cec59b76ca606c3e5d34ac0d0f9e0e22b8cfe5bb 2025-07-17T07:01:09.4882247Z * [new tag] trunk/cf0749c92fdfcb8a583ea15f351add88c4d33618 -> trunk/cf0749c92fdfcb8a583ea15f351add88c4d33618 2025-07-17T07:01:09.4883730Z * [new tag] trunk/cf3247b74aaeb956b3c2b31d05e965a0aca5a8b4 -> trunk/cf3247b74aaeb956b3c2b31d05e965a0aca5a8b4 2025-07-17T07:01:09.4884740Z * [new tag] trunk/cf90c9f8d1632777ec5f4b6ccaa14bc5bf259e9c -> trunk/cf90c9f8d1632777ec5f4b6ccaa14bc5bf259e9c 2025-07-17T07:01:09.4885960Z * [new tag] trunk/cf9878d7a20b11d761934ae7732b01644ae137d6 -> trunk/cf9878d7a20b11d761934ae7732b01644ae137d6 2025-07-17T07:01:09.4887168Z * [new tag] trunk/d061a02e6ecf3b62f409578c7d05a564264d1288 -> trunk/d061a02e6ecf3b62f409578c7d05a564264d1288 2025-07-17T07:01:09.4888272Z * [new tag] trunk/d06a406656bf0b4bc9af2d056558dc1630a6e5b9 -> trunk/d06a406656bf0b4bc9af2d056558dc1630a6e5b9 2025-07-17T07:01:09.4889240Z * [new tag] trunk/d083841c0e0d879e460aebb45daac086a240a7dd -> trunk/d083841c0e0d879e460aebb45daac086a240a7dd 2025-07-17T07:01:09.4890492Z * [new tag] trunk/d0a9629435aaceb5acbf31aad70f2109cb8a3ea2 -> trunk/d0a9629435aaceb5acbf31aad70f2109cb8a3ea2 2025-07-17T07:01:09.4891754Z * [new tag] trunk/d0cfa3e5bf662b72068e26e06a1a5c2e640ce8d9 -> trunk/d0cfa3e5bf662b72068e26e06a1a5c2e640ce8d9 2025-07-17T07:01:09.4892765Z * [new tag] trunk/d158e9ea82ce3440e2e9a1bbbecae53a79869404 -> trunk/d158e9ea82ce3440e2e9a1bbbecae53a79869404 2025-07-17T07:01:09.4893876Z * [new tag] trunk/d1947a87074c5db2568038878b1948ea3a33cc23 -> trunk/d1947a87074c5db2568038878b1948ea3a33cc23 2025-07-17T07:01:09.4895007Z * [new tag] trunk/d1b4e0fa9a5feb22fc6de1d36dc4c9dac685caed -> trunk/d1b4e0fa9a5feb22fc6de1d36dc4c9dac685caed 2025-07-17T07:01:09.4896233Z * [new tag] trunk/d1c924c68aaf650439c2193f74cfefc9f16076f1 -> trunk/d1c924c68aaf650439c2193f74cfefc9f16076f1 2025-07-17T07:01:09.4897184Z * [new tag] trunk/d26ca5de058dbcf56ac52bb43e84dd98df2ace97 -> trunk/d26ca5de058dbcf56ac52bb43e84dd98df2ace97 2025-07-17T07:01:09.4898310Z * [new tag] trunk/d27d36136ce35d5d6dc3faa818ba840ba61d4357 -> trunk/d27d36136ce35d5d6dc3faa818ba840ba61d4357 2025-07-17T07:01:09.4899176Z * [new tag] trunk/d283fc79b15844ac470b3429b4dac5661621ae5c -> trunk/d283fc79b15844ac470b3429b4dac5661621ae5c 2025-07-17T07:01:09.4900571Z * [new tag] trunk/d2a2bfcb5867d4920e0a45113861cde6f74857b9 -> trunk/d2a2bfcb5867d4920e0a45113861cde6f74857b9 2025-07-17T07:01:09.4901707Z * [new tag] trunk/d2f06d2b062c9d868a898044bc324547f34c4760 -> trunk/d2f06d2b062c9d868a898044bc324547f34c4760 2025-07-17T07:01:09.4902593Z * [new tag] trunk/d309cd1d502eab8e9cb536876bf5eed88634eb41 -> trunk/d309cd1d502eab8e9cb536876bf5eed88634eb41 2025-07-17T07:01:09.4903878Z * [new tag] trunk/d32deb664a1dfc0e36f0a8d670695046632ebf2a -> trunk/d32deb664a1dfc0e36f0a8d670695046632ebf2a 2025-07-17T07:01:09.4904828Z * [new tag] trunk/d3d64c6db090ee9be051202e6ac6fd4acd5d3e97 -> trunk/d3d64c6db090ee9be051202e6ac6fd4acd5d3e97 2025-07-17T07:01:09.4906040Z * [new tag] trunk/d3d655ad14ee4cd1c135ac57bbf75d5623fc9fa6 -> trunk/d3d655ad14ee4cd1c135ac57bbf75d5623fc9fa6 2025-07-17T07:01:09.4907364Z * [new tag] trunk/d3da03d6fa02aecd01ff41246def793b8fc630bf -> trunk/d3da03d6fa02aecd01ff41246def793b8fc630bf 2025-07-17T07:01:09.4908190Z * [new tag] trunk/d3efd732348f8a455ca23e7fcae043651e41f65e -> trunk/d3efd732348f8a455ca23e7fcae043651e41f65e 2025-07-17T07:01:09.4909348Z * [new tag] trunk/d40aaa42ee8d7283d8de02c68c5625d67acf668a -> trunk/d40aaa42ee8d7283d8de02c68c5625d67acf668a 2025-07-17T07:01:09.4910436Z * [new tag] trunk/d41f62b7a06c51e4a57df4d58e7a2d86d2faa875 -> trunk/d41f62b7a06c51e4a57df4d58e7a2d86d2faa875 2025-07-17T07:01:09.4911367Z * [new tag] trunk/d42c11819f003a848c782d6090f44bbca11c7d60 -> trunk/d42c11819f003a848c782d6090f44bbca11c7d60 2025-07-17T07:01:09.4912507Z * [new tag] trunk/d43c0bdf46d82806cff195a6d2bfa103ab46dc14 -> trunk/d43c0bdf46d82806cff195a6d2bfa103ab46dc14 2025-07-17T07:01:09.4913466Z * [new tag] trunk/d4ad28042993dd09c80775d7fc5756fb4d13fdd4 -> trunk/d4ad28042993dd09c80775d7fc5756fb4d13fdd4 2025-07-17T07:01:09.4914718Z * [new tag] trunk/d4d0ede6bacb4b3b33c0e4aa4cb0e79d34e697ec -> trunk/d4d0ede6bacb4b3b33c0e4aa4cb0e79d34e697ec 2025-07-17T07:01:09.4915679Z * [new tag] trunk/d512584718838876ae14b32bb53cd836a1ceccae -> trunk/d512584718838876ae14b32bb53cd836a1ceccae 2025-07-17T07:01:09.4916606Z * [new tag] trunk/d55dc00f8479699f454e91c779b53e2a16cffc21 -> trunk/d55dc00f8479699f454e91c779b53e2a16cffc21 2025-07-17T07:01:09.4917832Z * [new tag] trunk/d56f11a1f275f2dc037cd5099b70240745990693 -> trunk/d56f11a1f275f2dc037cd5099b70240745990693 2025-07-17T07:01:09.4918791Z * [new tag] trunk/d5781c8d21b3dca35715a093ba52c5698551ad9b -> trunk/d5781c8d21b3dca35715a093ba52c5698551ad9b 2025-07-17T07:01:09.4919935Z * [new tag] trunk/d58ed04d89c34c6930d0f28be351c53db407078f -> trunk/d58ed04d89c34c6930d0f28be351c53db407078f 2025-07-17T07:01:09.4920922Z * [new tag] trunk/d59ed21d0fdcbb34b5c4b121a3b49ae64d8da367 -> trunk/d59ed21d0fdcbb34b5c4b121a3b49ae64d8da367 2025-07-17T07:01:09.4922136Z * [new tag] trunk/d5a89178b05db3124f16c733e9b00f8c5c4ab038 -> trunk/d5a89178b05db3124f16c733e9b00f8c5c4ab038 2025-07-17T07:01:09.4923511Z * [new tag] trunk/d5b4a329607514b30944c7682efcf79cf8950ed3 -> trunk/d5b4a329607514b30944c7682efcf79cf8950ed3 2025-07-17T07:01:09.4924509Z * [new tag] trunk/d5d14ee823e70224a154884a5c2912643d648094 -> trunk/d5d14ee823e70224a154884a5c2912643d648094 2025-07-17T07:01:09.4925701Z * [new tag] trunk/d5e6f4209424b96237ea5468dd47899e1124dfcb -> trunk/d5e6f4209424b96237ea5468dd47899e1124dfcb 2025-07-17T07:01:09.4927324Z * [new tag] trunk/d6237721c074484ea5e72fc05614587886e57fd6 -> trunk/d6237721c074484ea5e72fc05614587886e57fd6 2025-07-17T07:01:09.4928266Z * [new tag] trunk/d632cf2cc9aac8ab0e03d1537982265e42be95e5 -> trunk/d632cf2cc9aac8ab0e03d1537982265e42be95e5 2025-07-17T07:01:09.4929512Z * [new tag] trunk/d66b4bcc3f89ac6b9d2ccfd4cb01b0aa85d4e3fd -> trunk/d66b4bcc3f89ac6b9d2ccfd4cb01b0aa85d4e3fd 2025-07-17T07:01:09.4930297Z * [new tag] trunk/d6ee5144cab20141c8e0cf48856a90a6517753f1 -> trunk/d6ee5144cab20141c8e0cf48856a90a6517753f1 2025-07-17T07:01:09.4931653Z * [new tag] trunk/d75d30eeb610b164e69d0678a2e2b2dea81eec0f -> trunk/d75d30eeb610b164e69d0678a2e2b2dea81eec0f 2025-07-17T07:01:09.4932509Z * [new tag] trunk/d76323d41742cbc05ec6857319b267d2c7ea8fd9 -> trunk/d76323d41742cbc05ec6857319b267d2c7ea8fd9 2025-07-17T07:01:09.4933727Z * [new tag] trunk/d79651571fb082a7a20631059563ecdf9d11b7e6 -> trunk/d79651571fb082a7a20631059563ecdf9d11b7e6 2025-07-17T07:01:09.4934892Z * [new tag] trunk/d797038ea9f3951c7602e8710f4866f73d7e7acd -> trunk/d797038ea9f3951c7602e8710f4866f73d7e7acd 2025-07-17T07:01:09.4935870Z * [new tag] trunk/d7e1b8b11d7430c7633dcad6f6596b5df8fa02f7 -> trunk/d7e1b8b11d7430c7633dcad6f6596b5df8fa02f7 2025-07-17T07:01:09.4937064Z * [new tag] trunk/d7e3c9ce8289f26704b140e68dac2849df750040 -> trunk/d7e3c9ce8289f26704b140e68dac2849df750040 2025-07-17T07:01:09.4938018Z * [new tag] trunk/d7e657da358d6d393e2105f94f1312fb969654a2 -> trunk/d7e657da358d6d393e2105f94f1312fb969654a2 2025-07-17T07:01:09.4939193Z * [new tag] trunk/d83ff89d3bf54ecc95d441411ecbf07831cc0e5a -> trunk/d83ff89d3bf54ecc95d441411ecbf07831cc0e5a 2025-07-17T07:01:09.4940332Z * [new tag] trunk/d846e213553621cb4581f1f36ac0023e528ddb65 -> trunk/d846e213553621cb4581f1f36ac0023e528ddb65 2025-07-17T07:01:09.4941557Z * [new tag] trunk/d84efde3f02bdc4780e5c9ec43f9c515c744e9be -> trunk/d84efde3f02bdc4780e5c9ec43f9c515c744e9be 2025-07-17T07:01:09.4942504Z * [new tag] trunk/d859e65826d511f8379db4a8c4109417e26e0772 -> trunk/d859e65826d511f8379db4a8c4109417e26e0772 2025-07-17T07:01:09.4943762Z * [new tag] trunk/d89f30ad45b9d4bfe5cf5ab441b53e849e55df7b -> trunk/d89f30ad45b9d4bfe5cf5ab441b53e849e55df7b 2025-07-17T07:01:09.4944697Z * [new tag] trunk/d8bb5ac260dd81f75c8add6eadd8ce11e62be1a3 -> trunk/d8bb5ac260dd81f75c8add6eadd8ce11e62be1a3 2025-07-17T07:01:09.4945887Z * [new tag] trunk/d9426a81d2ab54f809a3b32a6ab2e606073fe66f -> trunk/d9426a81d2ab54f809a3b32a6ab2e606073fe66f 2025-07-17T07:01:09.4946741Z * [new tag] trunk/d9577df312d477e8fa5b9d7bc61fb1f2c07b8e48 -> trunk/d9577df312d477e8fa5b9d7bc61fb1f2c07b8e48 2025-07-17T07:01:09.4947934Z * [new tag] trunk/d96dec84151dfdea1aa2bf568deebdc182214f45 -> trunk/d96dec84151dfdea1aa2bf568deebdc182214f45 2025-07-17T07:01:09.4949189Z * [new tag] trunk/d9799a2ee7adb9d15f7a2d47ee17fc39c588af60 -> trunk/d9799a2ee7adb9d15f7a2d47ee17fc39c588af60 2025-07-17T07:01:09.4950008Z * [new tag] trunk/d98fa4a1033079ae19591aff5c3c354617bff482 -> trunk/d98fa4a1033079ae19591aff5c3c354617bff482 2025-07-17T07:01:09.4951255Z * [new tag] trunk/d99cac28160428a8b006890abffaaa0754bd28e1 -> trunk/d99cac28160428a8b006890abffaaa0754bd28e1 2025-07-17T07:01:09.4952203Z * [new tag] trunk/d9b8369f3976e89eef96c903dfede746fb438f63 -> trunk/d9b8369f3976e89eef96c903dfede746fb438f63 2025-07-17T07:01:09.4953099Z * [new tag] trunk/da05b7fb94fa6382c43e165a525a76d8ae62cadd -> trunk/da05b7fb94fa6382c43e165a525a76d8ae62cadd 2025-07-17T07:01:09.4954275Z * [new tag] trunk/da1f337bc43ce2d720aca1349f9c09712e037382 -> trunk/da1f337bc43ce2d720aca1349f9c09712e037382 2025-07-17T07:01:09.4955235Z * [new tag] trunk/da1f8980dfd646f14dc33bf0bc70fcb4d09096b3 -> trunk/da1f8980dfd646f14dc33bf0bc70fcb4d09096b3 2025-07-17T07:01:09.4956452Z * [new tag] trunk/da4e7c77a12746b0806a63af58d7c913ed241f55 -> trunk/da4e7c77a12746b0806a63af58d7c913ed241f55 2025-07-17T07:01:09.4957402Z * [new tag] trunk/da50835bdebd43275e0be4b1362e1bb92b568e72 -> trunk/da50835bdebd43275e0be4b1362e1bb92b568e72 2025-07-17T07:01:09.4958650Z * [new tag] trunk/da910e603a764c1f935dd0409b4c18bd84b1f045 -> trunk/da910e603a764c1f935dd0409b4c18bd84b1f045 2025-07-17T07:01:09.4959777Z * [new tag] trunk/dabb55baff2292ddd7728882b4e2113b8cb9e23b -> trunk/dabb55baff2292ddd7728882b4e2113b8cb9e23b 2025-07-17T07:01:09.4961006Z * [new tag] trunk/db01f1032ff133dc7cc3097b76bfb1b73ff533ce -> trunk/db01f1032ff133dc7cc3097b76bfb1b73ff533ce 2025-07-17T07:01:09.4962122Z * [new tag] trunk/db188503cb705230664c94d8b3a85165a00d632d -> trunk/db188503cb705230664c94d8b3a85165a00d632d 2025-07-17T07:01:09.4963254Z * [new tag] trunk/db491825e05e8bed9c7ed5d9fdd6ce206ab3167c -> trunk/db491825e05e8bed9c7ed5d9fdd6ce206ab3167c 2025-07-17T07:01:09.4964414Z * [new tag] trunk/db5970c1a67968f3b76d204d75789021d4304337 -> trunk/db5970c1a67968f3b76d204d75789021d4304337 2025-07-17T07:01:09.4965693Z * [new tag] trunk/dbec08bc1cc9113c13652128a4ddcfcf2426a8c0 -> trunk/dbec08bc1cc9113c13652128a4ddcfcf2426a8c0 2025-07-17T07:01:09.4966881Z * [new tag] trunk/dbf7d421dabced2335d17c7d7e57c1770f2f12c0 -> trunk/dbf7d421dabced2335d17c7d7e57c1770f2f12c0 2025-07-17T07:01:09.4968062Z * [new tag] trunk/dc5e8f7999cccb51efcf0f5fe197a740a918c73d -> trunk/dc5e8f7999cccb51efcf0f5fe197a740a918c73d 2025-07-17T07:01:09.4969167Z * [new tag] trunk/dcb97cd519e4e4974bc3bd4960512b557216f3e6 -> trunk/dcb97cd519e4e4974bc3bd4960512b557216f3e6 2025-07-17T07:01:09.4972393Z * [new tag] trunk/dd1b6621bc04a37b60ac304d913a3c838b0b1e4d -> trunk/dd1b6621bc04a37b60ac304d913a3c838b0b1e4d 2025-07-17T07:01:09.4973556Z * [new tag] trunk/dd3e7170c20cade9a308900aa4df46ab7656d253 -> trunk/dd3e7170c20cade9a308900aa4df46ab7656d253 2025-07-17T07:01:09.4974686Z * [new tag] trunk/dd41a3907cde3ce19fb69bd79c4055233a1e28d3 -> trunk/dd41a3907cde3ce19fb69bd79c4055233a1e28d3 2025-07-17T07:01:09.4975914Z * [new tag] trunk/dd78d6e7eaecf0aa5317076a721bc719c96b41f8 -> trunk/dd78d6e7eaecf0aa5317076a721bc719c96b41f8 2025-07-17T07:01:09.4976739Z * [new tag] trunk/dd93883231226576220a8ec0fa266c9e22eae82c -> trunk/dd93883231226576220a8ec0fa266c9e22eae82c 2025-07-17T07:01:09.4977902Z * [new tag] trunk/ddf502c988133835a89959bef945bf9c5f06b428 -> trunk/ddf502c988133835a89959bef945bf9c5f06b428 2025-07-17T07:01:09.4979018Z * [new tag] trunk/de1930a4290a27f3f03dd1d3454fb6ef9d12f3ea -> trunk/de1930a4290a27f3f03dd1d3454fb6ef9d12f3ea 2025-07-17T07:01:09.4980215Z * [new tag] trunk/de45c5f673ce261e9a82c54280beeda36cff640e -> trunk/de45c5f673ce261e9a82c54280beeda36cff640e 2025-07-17T07:01:09.4981415Z * [new tag] trunk/dea4864ce08115a0cdc871b84dd3080567d8b5e4 -> trunk/dea4864ce08115a0cdc871b84dd3080567d8b5e4 2025-07-17T07:01:09.4982389Z * [new tag] trunk/df72078fe1339751e702c7511c23b4597d022dcc -> trunk/df72078fe1339751e702c7511c23b4597d022dcc 2025-07-17T07:01:09.4983574Z * [new tag] trunk/dfa2649434f539d7580d38f08890176e73d45158 -> trunk/dfa2649434f539d7580d38f08890176e73d45158 2025-07-17T07:01:09.4984541Z * [new tag] trunk/dfc31b3345d78b0a49d446dcc1957404606a3aa2 -> trunk/dfc31b3345d78b0a49d446dcc1957404606a3aa2 2025-07-17T07:01:09.4985798Z * [new tag] trunk/dfcda613b65499e4b593b5bbb64812d57194858e -> trunk/dfcda613b65499e4b593b5bbb64812d57194858e 2025-07-17T07:01:09.4993300Z * [new tag] trunk/dfdd636cfa06ac70c4aa7ad5ee5e854c46b25a8e -> trunk/dfdd636cfa06ac70c4aa7ad5ee5e854c46b25a8e 2025-07-17T07:01:09.4994001Z * [new tag] trunk/dfef1e44085bb156abc4aff0f34a0b82a4a337b8 -> trunk/dfef1e44085bb156abc4aff0f34a0b82a4a337b8 2025-07-17T07:01:09.4994447Z * [new tag] trunk/e01fde82131c7f0b4c122222694911ee6fab36ca -> trunk/e01fde82131c7f0b4c122222694911ee6fab36ca 2025-07-17T07:01:09.4994844Z * [new tag] trunk/e0447bb5f84dca38e7515d1b1fdea42c647e5acd -> trunk/e0447bb5f84dca38e7515d1b1fdea42c647e5acd 2025-07-17T07:01:09.4995236Z * [new tag] trunk/e071837594f26a3bbaeee11eaa74f3bfd9c998ce -> trunk/e071837594f26a3bbaeee11eaa74f3bfd9c998ce 2025-07-17T07:01:09.4995627Z * [new tag] trunk/e0850123355a919427be3cb02f40c9a9e144fc3c -> trunk/e0850123355a919427be3cb02f40c9a9e144fc3c 2025-07-17T07:01:09.4996167Z * [new tag] trunk/e0ab1b538a646bff0739830d74a8e6ea6bf1eddd -> trunk/e0ab1b538a646bff0739830d74a8e6ea6bf1eddd 2025-07-17T07:01:09.4996584Z * [new tag] trunk/e0ae4ecca87928a96c97fb60cbb36aca0fc182f2 -> trunk/e0ae4ecca87928a96c97fb60cbb36aca0fc182f2 2025-07-17T07:01:09.4996981Z * [new tag] trunk/e0fd48be7d526625cacfd093f3db13506ca9cc17 -> trunk/e0fd48be7d526625cacfd093f3db13506ca9cc17 2025-07-17T07:01:09.4997390Z * [new tag] trunk/e1180c7228ba8c8b16cabf78706d4a67ca189a6b -> trunk/e1180c7228ba8c8b16cabf78706d4a67ca189a6b 2025-07-17T07:01:09.4998576Z * [new tag] trunk/e124a0d88ca2aa04bfaca2dcabf5de6244048e45 -> trunk/e124a0d88ca2aa04bfaca2dcabf5de6244048e45 2025-07-17T07:01:09.4999352Z * [new tag] trunk/e12597090c482ebf1eff7739794667a92cbff657 -> trunk/e12597090c482ebf1eff7739794667a92cbff657 2025-07-17T07:01:09.5000702Z * [new tag] trunk/e15848669f84d3767bfca724a29a6a6dde3308b9 -> trunk/e15848669f84d3767bfca724a29a6a6dde3308b9 2025-07-17T07:01:09.5001797Z * [new tag] trunk/e15ea965a1e84029eb900b93f5776767a39fd91e -> trunk/e15ea965a1e84029eb900b93f5776767a39fd91e 2025-07-17T07:01:09.5002960Z * [new tag] trunk/e15f4248ad2797539f1bf965bd0a3500b8ed15ed -> trunk/e15f4248ad2797539f1bf965bd0a3500b8ed15ed 2025-07-17T07:01:09.5003833Z * [new tag] trunk/e1723098805fcbf3ab7f3d20750fb0665bf65004 -> trunk/e1723098805fcbf3ab7f3d20750fb0665bf65004 2025-07-17T07:01:09.5005137Z * [new tag] trunk/e1a20988f3724317a7ee79c1777d574a8282a122 -> trunk/e1a20988f3724317a7ee79c1777d574a8282a122 2025-07-17T07:01:09.5006661Z * [new tag] trunk/e1aee86646aa6d1b9cb9d34351e43936401c5efc -> trunk/e1aee86646aa6d1b9cb9d34351e43936401c5efc 2025-07-17T07:01:09.5007778Z * [new tag] trunk/e1db10e05aa720aef1989773adcf48f311bcf920 -> trunk/e1db10e05aa720aef1989773adcf48f311bcf920 2025-07-17T07:01:09.5008585Z * [new tag] trunk/e1f28fe17bc55389fc5a31bad588d22e5ecca722 -> trunk/e1f28fe17bc55389fc5a31bad588d22e5ecca722 2025-07-17T07:01:09.5009786Z * [new tag] trunk/e20784f228abca24ab263cf0f69534667365ecba -> trunk/e20784f228abca24ab263cf0f69534667365ecba 2025-07-17T07:01:09.5010767Z * [new tag] trunk/e2351f2dcf7d300460edb9d0c2eb0ea11cc547c5 -> trunk/e2351f2dcf7d300460edb9d0c2eb0ea11cc547c5 2025-07-17T07:01:09.5011803Z * [new tag] trunk/e25ce0f928bfdd545323fcc2f88209233309bbbc -> trunk/e25ce0f928bfdd545323fcc2f88209233309bbbc 2025-07-17T07:01:09.5012780Z * [new tag] trunk/e265b719bd67f7c0a2b9001daef442a70232dcc8 -> trunk/e265b719bd67f7c0a2b9001daef442a70232dcc8 2025-07-17T07:01:09.5014019Z * [new tag] trunk/e28925aa7566da3ffe4f13dd8d59a6767bf97b2e -> trunk/e28925aa7566da3ffe4f13dd8d59a6767bf97b2e 2025-07-17T07:01:09.5015002Z * [new tag] trunk/e290a4c645e00926f0bfa44488f9f7dbd7cb2d0b -> trunk/e290a4c645e00926f0bfa44488f9f7dbd7cb2d0b 2025-07-17T07:01:09.5016140Z * [new tag] trunk/e2c9d8d6414927ce754bbc40b767edf103cf16da -> trunk/e2c9d8d6414927ce754bbc40b767edf103cf16da 2025-07-17T07:01:09.5017070Z * [new tag] trunk/e2f64eedafc6f0dcad9256ac1f38c0359477679a -> trunk/e2f64eedafc6f0dcad9256ac1f38c0359477679a 2025-07-17T07:01:09.5018171Z * [new tag] trunk/e311886e3d57c83a88b97a084dd0b95d6d1537a8 -> trunk/e311886e3d57c83a88b97a084dd0b95d6d1537a8 2025-07-17T07:01:09.5019266Z * [new tag] trunk/e31f20529276356092b5c63c2920d5b17ca9f4ba -> trunk/e31f20529276356092b5c63c2920d5b17ca9f4ba 2025-07-17T07:01:09.5020540Z * [new tag] trunk/e323d46b617c1552cc0f017ad8ec80189eacf187 -> trunk/e323d46b617c1552cc0f017ad8ec80189eacf187 2025-07-17T07:01:09.5021611Z * [new tag] trunk/e3320965b48d87b7257997c35db722302d923ead -> trunk/e3320965b48d87b7257997c35db722302d923ead 2025-07-17T07:01:09.5022832Z * [new tag] trunk/e375d21bb9b0ef6fefe7a8af5a054a17de8c63c9 -> trunk/e375d21bb9b0ef6fefe7a8af5a054a17de8c63c9 2025-07-17T07:01:09.5023733Z * [new tag] trunk/e3977e843de6c9c43be00ee8c67c533debfc0dc9 -> trunk/e3977e843de6c9c43be00ee8c67c533debfc0dc9 2025-07-17T07:01:09.5024867Z * [new tag] trunk/e3afbb03623559fa3fa7ba607c07c86ebed889f0 -> trunk/e3afbb03623559fa3fa7ba607c07c86ebed889f0 2025-07-17T07:01:09.5026214Z * [new tag] trunk/e3b44edfd837199880aed3ec802383617da731f3 -> trunk/e3b44edfd837199880aed3ec802383617da731f3 2025-07-17T07:01:09.5027447Z * [new tag] trunk/e3f2597b4529927b812b443cf8da19b44ed8dea4 -> trunk/e3f2597b4529927b812b443cf8da19b44ed8dea4 2025-07-17T07:01:09.5028531Z * [new tag] trunk/e3f8141c25b7213885f0b7b64f2b0ccc7858be95 -> trunk/e3f8141c25b7213885f0b7b64f2b0ccc7858be95 2025-07-17T07:01:09.5029609Z * [new tag] trunk/e3fe001d9e38153a7797ad25377fdfa34e461113 -> trunk/e3fe001d9e38153a7797ad25377fdfa34e461113 2025-07-17T07:01:09.5030604Z * [new tag] trunk/e40ade5182233f548b25f2732effe3719d16e9ad -> trunk/e40ade5182233f548b25f2732effe3719d16e9ad 2025-07-17T07:01:09.5031816Z * [new tag] trunk/e466dab164d9236bfe5817ec8e4d24c7b9d3e392 -> trunk/e466dab164d9236bfe5817ec8e4d24c7b9d3e392 2025-07-17T07:01:09.5032803Z * [new tag] trunk/e472daa80963aae389089f9dc324b04261e2a5ef -> trunk/e472daa80963aae389089f9dc324b04261e2a5ef 2025-07-17T07:01:09.5034022Z * [new tag] trunk/e4ae60a413b99688d308794baaa1c685b5c19025 -> trunk/e4ae60a413b99688d308794baaa1c685b5c19025 2025-07-17T07:01:09.5035142Z * [new tag] trunk/e4c17d5e1ccd0e730caef484af291243bc1d9cde -> trunk/e4c17d5e1ccd0e730caef484af291243bc1d9cde 2025-07-17T07:01:09.5036361Z * [new tag] trunk/e4c9f6d9a286bd367ce3a157428f588e267d2630 -> trunk/e4c9f6d9a286bd367ce3a157428f588e267d2630 2025-07-17T07:01:09.5037462Z * [new tag] trunk/e517066f41342f0f01043121dcb8ac6b235ee40c -> trunk/e517066f41342f0f01043121dcb8ac6b235ee40c 2025-07-17T07:01:09.5038622Z * [new tag] trunk/e53ddaf1f6ef3f1d22075ad33a5922fb8b277fe0 -> trunk/e53ddaf1f6ef3f1d22075ad33a5922fb8b277fe0 2025-07-17T07:01:09.5039807Z * [new tag] trunk/e581f015eebf483eb6f19447caf2d2452a602c2f -> trunk/e581f015eebf483eb6f19447caf2d2452a602c2f 2025-07-17T07:01:09.5040724Z * [new tag] trunk/e583b888194c8c74ebbd332c09c394acebbbbcff -> trunk/e583b888194c8c74ebbd332c09c394acebbbbcff 2025-07-17T07:01:09.5041750Z * [new tag] trunk/e5a0b73ce9e7bc489150932b60f673155d6ddc30 -> trunk/e5a0b73ce9e7bc489150932b60f673155d6ddc30 2025-07-17T07:01:09.5042858Z * [new tag] trunk/e5a11971919009b5e5bd050b3ed52e324f1ce894 -> trunk/e5a11971919009b5e5bd050b3ed52e324f1ce894 2025-07-17T07:01:09.5044062Z * [new tag] trunk/e5ea24fb27e0ef5dbb0c4039d88c0f4faa221fef -> trunk/e5ea24fb27e0ef5dbb0c4039d88c0f4faa221fef 2025-07-17T07:01:09.5045235Z * [new tag] trunk/e5ed267f830ce9fc6579f928082e563fbed37e3f -> trunk/e5ed267f830ce9fc6579f928082e563fbed37e3f 2025-07-17T07:01:09.5046347Z * [new tag] trunk/e5edd013ab418b8b3609cb3cb1df3804b69d8eef -> trunk/e5edd013ab418b8b3609cb3cb1df3804b69d8eef 2025-07-17T07:01:09.5047446Z * [new tag] trunk/e5f6ffd8109bee99416d9b127f961ab0e253a1c2 -> trunk/e5f6ffd8109bee99416d9b127f961ab0e253a1c2 2025-07-17T07:01:09.5048524Z * [new tag] trunk/e600e044a770d29d1fe5d9638b274a7d4f22f969 -> trunk/e600e044a770d29d1fe5d9638b274a7d4f22f969 2025-07-17T07:01:09.5049628Z * [new tag] trunk/e6252f62efa5e6e4ab0d56967d7461f1e8a7eb7c -> trunk/e6252f62efa5e6e4ab0d56967d7461f1e8a7eb7c 2025-07-17T07:01:09.5050607Z * [new tag] trunk/e694280d1215caf70f41575f2611bfa26c69ebdb -> trunk/e694280d1215caf70f41575f2611bfa26c69ebdb 2025-07-17T07:01:09.5051885Z * [new tag] trunk/e6d71f37896e99ced7daf9ee43a30c0ec03d60f2 -> trunk/e6d71f37896e99ced7daf9ee43a30c0ec03d60f2 2025-07-17T07:01:09.5053183Z * [new tag] trunk/e6d8ed02cbeabe961d1a5303973a6d89ee851736 -> trunk/e6d8ed02cbeabe961d1a5303973a6d89ee851736 2025-07-17T07:01:09.5054265Z * [new tag] trunk/e6ed4074e8411000eea2f0de0c0829d909e4701f -> trunk/e6ed4074e8411000eea2f0de0c0829d909e4701f 2025-07-17T07:01:09.5055367Z * [new tag] trunk/e71bb021b9553ddc2db6cb8ea7bf8643552f09fc -> trunk/e71bb021b9553ddc2db6cb8ea7bf8643552f09fc 2025-07-17T07:01:09.5056339Z * [new tag] trunk/e7698ff5cf40729d11df6c32c6df0a163e5d0ce0 -> trunk/e7698ff5cf40729d11df6c32c6df0a163e5d0ce0 2025-07-17T07:01:09.5057533Z * [new tag] trunk/e78f2ac92b709a060aa323d6e527ec2ecc36fb93 -> trunk/e78f2ac92b709a060aa323d6e527ec2ecc36fb93 2025-07-17T07:01:09.5058806Z * [new tag] trunk/e7a66166ce5294a52bf3966aef49562f94343475 -> trunk/e7a66166ce5294a52bf3966aef49562f94343475 2025-07-17T07:01:09.5060040Z * [new tag] trunk/e7da21806fbc96d47ac03ea8f6507deb0ab48481 -> trunk/e7da21806fbc96d47ac03ea8f6507deb0ab48481 2025-07-17T07:01:09.5061141Z * [new tag] trunk/e8217ad8becd2b297682c685a9179997cb0a98cc -> trunk/e8217ad8becd2b297682c685a9179997cb0a98cc 2025-07-17T07:01:09.5062226Z * [new tag] trunk/e895e9689c625cbcd8f46880115e0d093713fa37 -> trunk/e895e9689c625cbcd8f46880115e0d093713fa37 2025-07-17T07:01:09.5063379Z * [new tag] trunk/e8b3dfa7c0b6d74fc84714dbb79cb6a8bad43ae7 -> trunk/e8b3dfa7c0b6d74fc84714dbb79cb6a8bad43ae7 2025-07-17T07:01:09.5064466Z * [new tag] trunk/e8bfce9a43960f417a36636a0e7f6a58b7dc56d2 -> trunk/e8bfce9a43960f417a36636a0e7f6a58b7dc56d2 2025-07-17T07:01:09.5065632Z * [new tag] trunk/e8cf5ff5641c1ce4c3046a85df55b15eaaea38b2 -> trunk/e8cf5ff5641c1ce4c3046a85df55b15eaaea38b2 2025-07-17T07:01:09.5066754Z * [new tag] trunk/e8d29c45e02402bcb4ae7726abd415bebd441852 -> trunk/e8d29c45e02402bcb4ae7726abd415bebd441852 2025-07-17T07:01:09.5067860Z * [new tag] trunk/e90148c91d3b8a759db558374c8539e47338926b -> trunk/e90148c91d3b8a759db558374c8539e47338926b 2025-07-17T07:01:09.5070032Z * [new tag] trunk/e92e3eaf4eb815ea28db9a5af9d9ee48c3f7be3f -> trunk/e92e3eaf4eb815ea28db9a5af9d9ee48c3f7be3f 2025-07-17T07:01:09.5070938Z * [new tag] trunk/e9367a7a4288e626f01fada3912d68756f1ca6d3 -> trunk/e9367a7a4288e626f01fada3912d68756f1ca6d3 2025-07-17T07:01:09.5072219Z * [new tag] trunk/e959dd017d7dcd7c6351c9ef303f3667aebe11f5 -> trunk/e959dd017d7dcd7c6351c9ef303f3667aebe11f5 2025-07-17T07:01:09.5073350Z * [new tag] trunk/e95e8eed0a96f024dc84012494f465b34eae9d22 -> trunk/e95e8eed0a96f024dc84012494f465b34eae9d22 2025-07-17T07:01:09.5074476Z * [new tag] trunk/e96f530af5bf8ceaeaa87ec7f4651490a25bce07 -> trunk/e96f530af5bf8ceaeaa87ec7f4651490a25bce07 2025-07-17T07:01:09.5075566Z * [new tag] trunk/e98dd95446e009ace1722498effbf32250d623e4 -> trunk/e98dd95446e009ace1722498effbf32250d623e4 2025-07-17T07:01:09.5076690Z * [new tag] trunk/e99a2a2dba90c9b6276219104bc99aff2f67e2f7 -> trunk/e99a2a2dba90c9b6276219104bc99aff2f67e2f7 2025-07-17T07:01:09.5077774Z * [new tag] trunk/e99cc126a4f4bd5233ff363f27d14a0fff4b4392 -> trunk/e99cc126a4f4bd5233ff363f27d14a0fff4b4392 2025-07-17T07:01:09.5078886Z * [new tag] trunk/e9fdaf8701b599fd943bb899639b5e8a4966b3c3 -> trunk/e9fdaf8701b599fd943bb899639b5e8a4966b3c3 2025-07-17T07:01:09.5080011Z * [new tag] trunk/ea23eb4b98ae8af40f0c38538a9e63f1b0dc40e2 -> trunk/ea23eb4b98ae8af40f0c38538a9e63f1b0dc40e2 2025-07-17T07:01:09.5080855Z * [new tag] trunk/ea37f720995616d8570045c63486198a021f8285 -> trunk/ea37f720995616d8570045c63486198a021f8285 2025-07-17T07:01:09.5082077Z * [new tag] trunk/ea74fdd24aa7d98433231f4a3d75cfd241d8720e -> trunk/ea74fdd24aa7d98433231f4a3d75cfd241d8720e 2025-07-17T07:01:09.5083134Z * [new tag] trunk/eab45643f22e58ee12d95d8b0162d51ca0a50801 -> trunk/eab45643f22e58ee12d95d8b0162d51ca0a50801 2025-07-17T07:01:09.5084106Z * [new tag] trunk/eabf7cd3c552e6c17321a63d7e5a19da92909910 -> trunk/eabf7cd3c552e6c17321a63d7e5a19da92909910 2025-07-17T07:01:09.5085230Z * [new tag] trunk/eaceb243df6fc17a37a2c1d9f8775d1561a0f67c -> trunk/eaceb243df6fc17a37a2c1d9f8775d1561a0f67c 2025-07-17T07:01:09.5086234Z * [new tag] trunk/eaf32fffb7e83b5331951b254ad213ceb2ae72f8 -> trunk/eaf32fffb7e83b5331951b254ad213ceb2ae72f8 2025-07-17T07:01:09.5087466Z * [new tag] trunk/eaf704914eb63efffafeb402633f76f2cd521ef4 -> trunk/eaf704914eb63efffafeb402633f76f2cd521ef4 2025-07-17T07:01:09.5088617Z * [new tag] trunk/eb152ab1dd9eafc777b6642bb141ab1b8376359a -> trunk/eb152ab1dd9eafc777b6642bb141ab1b8376359a 2025-07-17T07:01:09.5089697Z * [new tag] trunk/eb2af14f8e75c22c0a2fcf407005d2e8173d0df5 -> trunk/eb2af14f8e75c22c0a2fcf407005d2e8173d0df5 2025-07-17T07:01:09.5090839Z * [new tag] trunk/eb331b59fedb7f70229ca491029f2f7f27bbff54 -> trunk/eb331b59fedb7f70229ca491029f2f7f27bbff54 2025-07-17T07:01:09.5091759Z * [new tag] trunk/eb4cf59ecdf69dd53805a37525a7f750c8f1e0dd -> trunk/eb4cf59ecdf69dd53805a37525a7f750c8f1e0dd 2025-07-17T07:01:09.5092905Z * [new tag] trunk/eb9efb37c8f315f1d30e86d5797490c6a8666889 -> trunk/eb9efb37c8f315f1d30e86d5797490c6a8666889 2025-07-17T07:01:09.5094100Z * [new tag] trunk/eba5fc91ac924a7a05569c33b0f90f0faf22696d -> trunk/eba5fc91ac924a7a05569c33b0f90f0faf22696d 2025-07-17T07:01:09.5095177Z * [new tag] trunk/ebab2799423987a16975ab07ee49dd944e5315e6 -> trunk/ebab2799423987a16975ab07ee49dd944e5315e6 2025-07-17T07:01:09.5096287Z * [new tag] trunk/ebf83b8b7772632c0558db9a88281ee10ff2df38 -> trunk/ebf83b8b7772632c0558db9a88281ee10ff2df38 2025-07-17T07:01:09.5097270Z * [new tag] trunk/ec0276103fc023b93c6eb17639d4605656ea4f10 -> trunk/ec0276103fc023b93c6eb17639d4605656ea4f10 2025-07-17T07:01:09.5098480Z * [new tag] trunk/ec08eb8ba22e66b113e4f2aba1f6afb738f9d861 -> trunk/ec08eb8ba22e66b113e4f2aba1f6afb738f9d861 2025-07-17T07:01:09.5099295Z * [new tag] trunk/ec816d73b4c8f74a14e275891939de6cfd6891b6 -> trunk/ec816d73b4c8f74a14e275891939de6cfd6891b6 2025-07-17T07:01:09.5100573Z * [new tag] trunk/ecd73c58eeaf7e919316f9b9596f8c677af96c66 -> trunk/ecd73c58eeaf7e919316f9b9596f8c677af96c66 2025-07-17T07:01:09.5101853Z * [new tag] trunk/ed03492238c9ef76f5c1df6cfa54da83a2a384e1 -> trunk/ed03492238c9ef76f5c1df6cfa54da83a2a384e1 2025-07-17T07:01:09.5102740Z * [new tag] trunk/ed051c308464904e07d33c39524b3931dc8c947a -> trunk/ed051c308464904e07d33c39524b3931dc8c947a 2025-07-17T07:01:09.5104022Z * [new tag] trunk/ed508cc0182b923789555d4e1ec1f8b23707b7db -> trunk/ed508cc0182b923789555d4e1ec1f8b23707b7db 2025-07-17T07:01:09.5105126Z * [new tag] trunk/ed5d6d2a200a0f03b164053322341bb10acc051d -> trunk/ed5d6d2a200a0f03b164053322341bb10acc051d 2025-07-17T07:01:09.5106015Z * [new tag] trunk/ed661a5f11de116539f70882f4f59a61d5e3e209 -> trunk/ed661a5f11de116539f70882f4f59a61d5e3e209 2025-07-17T07:01:09.5107224Z * [new tag] trunk/ed6ae20cf0e31d49d54177251293267205e24021 -> trunk/ed6ae20cf0e31d49d54177251293267205e24021 2025-07-17T07:01:09.5108440Z * [new tag] trunk/ed6df0e324233fda094e3c1cb4de4009d1ba2413 -> trunk/ed6df0e324233fda094e3c1cb4de4009d1ba2413 2025-07-17T07:01:09.5109695Z * [new tag] trunk/ed911747c2a56cf84d648d677403d5bf6b2ebd0b -> trunk/ed911747c2a56cf84d648d677403d5bf6b2ebd0b 2025-07-17T07:01:09.5110898Z * [new tag] trunk/eda0a9cc90b9a63127a49d617329f98b6404e90d -> trunk/eda0a9cc90b9a63127a49d617329f98b6404e90d 2025-07-17T07:01:09.5112185Z * [new tag] trunk/edb92e16ba9ad12bd51c4f73389556e163e9cc08 -> trunk/edb92e16ba9ad12bd51c4f73389556e163e9cc08 2025-07-17T07:01:09.5113371Z * [new tag] trunk/edd45f3a020f892c17672cc2d08f64cb960006ad -> trunk/edd45f3a020f892c17672cc2d08f64cb960006ad 2025-07-17T07:01:09.5114540Z * [new tag] trunk/edd9c09e73aaa8d1a1667fa7ea5a337aa31fa6ec -> trunk/edd9c09e73aaa8d1a1667fa7ea5a337aa31fa6ec 2025-07-17T07:01:09.5115539Z * [new tag] trunk/eddddea9087a8840ce5ae1bbb3c6f59556d7c0f0 -> trunk/eddddea9087a8840ce5ae1bbb3c6f59556d7c0f0 2025-07-17T07:01:09.5116691Z * [new tag] trunk/ede6ead8cd8e925cb093f2b3016342e645bd728d -> trunk/ede6ead8cd8e925cb093f2b3016342e645bd728d 2025-07-17T07:01:09.5117527Z * [new tag] trunk/edf7bb4f514220f96ddfa646ae6e9e930a305ec1 -> trunk/edf7bb4f514220f96ddfa646ae6e9e930a305ec1 2025-07-17T07:01:09.5118440Z * [new tag] trunk/ee0992871c99fc6a1e19eb839ab65391a168d2f8 -> trunk/ee0992871c99fc6a1e19eb839ab65391a168d2f8 2025-07-17T07:01:09.5119636Z * [new tag] trunk/ee4d343499c80be16a58d5ac604da6e2130cd94d -> trunk/ee4d343499c80be16a58d5ac604da6e2130cd94d 2025-07-17T07:01:09.5120904Z * [new tag] trunk/ee56e9f8a8202bfa02c2d9ae3cfa07d4a41ab567 -> trunk/ee56e9f8a8202bfa02c2d9ae3cfa07d4a41ab567 2025-07-17T07:01:09.5122056Z * [new tag] trunk/ee5c2908cbfcbda6e8a5737d9939d36ba417d627 -> trunk/ee5c2908cbfcbda6e8a5737d9939d36ba417d627 2025-07-17T07:01:09.5123028Z * [new tag] trunk/ee9ac36c2316f430c4de2a0982bde3cb8087cbe7 -> trunk/ee9ac36c2316f430c4de2a0982bde3cb8087cbe7 2025-07-17T07:01:09.5124201Z * [new tag] trunk/eea3bcb3d146f16a8f8c91a9e2a8f1b76c5917f4 -> trunk/eea3bcb3d146f16a8f8c91a9e2a8f1b76c5917f4 2025-07-17T07:01:09.5125453Z * [new tag] trunk/eeaefa133694811aac1fd215bcae2e7f1e098d1d -> trunk/eeaefa133694811aac1fd215bcae2e7f1e098d1d 2025-07-17T07:01:09.5126596Z * [new tag] trunk/eecaa0bbc6a39c89366f9ec97797479c27f6d760 -> trunk/eecaa0bbc6a39c89366f9ec97797479c27f6d760 2025-07-17T07:01:09.5127920Z * [new tag] trunk/eef253d9f6fc8b9774d199889a817f50e89572c2 -> trunk/eef253d9f6fc8b9774d199889a817f50e89572c2 2025-07-17T07:01:09.5129202Z * [new tag] trunk/ef4cca2d79eba61441da46906b30f8f6165cc455 -> trunk/ef4cca2d79eba61441da46906b30f8f6165cc455 2025-07-17T07:01:09.5130311Z * [new tag] trunk/ef6d2cee7a93c1e8f52a7595b6f630d0fcd83692 -> trunk/ef6d2cee7a93c1e8f52a7595b6f630d0fcd83692 2025-07-17T07:01:09.5131491Z * [new tag] trunk/ef6dfa06a9ff84bf04b0d83cfab4cb396a508a0e -> trunk/ef6dfa06a9ff84bf04b0d83cfab4cb396a508a0e 2025-07-17T07:01:09.5132598Z * [new tag] trunk/ef97bd47131423e0819b293dc227b62d0c376023 -> trunk/ef97bd47131423e0819b293dc227b62d0c376023 2025-07-17T07:01:09.5133680Z * [new tag] trunk/efbf07e7ea46c33c936cac882eb1c8b782d1d070 -> trunk/efbf07e7ea46c33c936cac882eb1c8b782d1d070 2025-07-17T07:01:09.5134809Z * [new tag] trunk/effe376db07c7071fa4d704dd0787a394a5eda50 -> trunk/effe376db07c7071fa4d704dd0787a394a5eda50 2025-07-17T07:01:09.5135775Z * [new tag] trunk/f04fd4dc4eaf16557f9212240bdaa8377d51bad1 -> trunk/f04fd4dc4eaf16557f9212240bdaa8377d51bad1 2025-07-17T07:01:09.5137003Z * [new tag] trunk/f096820d0f845f36529fe774cf761d5fc4ad02a8 -> trunk/f096820d0f845f36529fe774cf761d5fc4ad02a8 2025-07-17T07:01:09.5137984Z * [new tag] trunk/f0b388665efd20c1ec35fc48afb115a0f15116ce -> trunk/f0b388665efd20c1ec35fc48afb115a0f15116ce 2025-07-17T07:01:09.5139123Z * [new tag] trunk/f0bee87eea03f6ded538590e2a073cc62ecd2818 -> trunk/f0bee87eea03f6ded538590e2a073cc62ecd2818 2025-07-17T07:01:09.5140446Z * [new tag] trunk/f1331f3f1b43d1848341a0f0da66a13cb05570d0 -> trunk/f1331f3f1b43d1848341a0f0da66a13cb05570d0 2025-07-17T07:01:09.5142046Z * [new tag] trunk/f140fac8dcfa6ec20d594bc4637417a83bc90036 -> trunk/f140fac8dcfa6ec20d594bc4637417a83bc90036 2025-07-17T07:01:09.5143102Z * [new tag] trunk/f151b201236f959e3874b73dde9bfae5e10dae78 -> trunk/f151b201236f959e3874b73dde9bfae5e10dae78 2025-07-17T07:01:09.5144062Z * [new tag] trunk/f154f9b3040369a7979d5de7acb6fe21433eda83 -> trunk/f154f9b3040369a7979d5de7acb6fe21433eda83 2025-07-17T07:01:09.5145908Z * [new tag] trunk/f16053f0c9a09fa337fbf85aaf64f88712b8dcdb -> trunk/f16053f0c9a09fa337fbf85aaf64f88712b8dcdb 2025-07-17T07:01:09.5146901Z * [new tag] trunk/f179b7198522e6d93bd103efba1a1ebd5a2cf891 -> trunk/f179b7198522e6d93bd103efba1a1ebd5a2cf891 2025-07-17T07:01:09.5148036Z * [new tag] trunk/f17f6581252ff07e75f33fdce0b4248acdb5da0b -> trunk/f17f6581252ff07e75f33fdce0b4248acdb5da0b 2025-07-17T07:01:09.5149011Z * [new tag] trunk/f1f49e56b079bfc73b1b2fb061d150ec787ee716 -> trunk/f1f49e56b079bfc73b1b2fb061d150ec787ee716 2025-07-17T07:01:09.5150182Z * [new tag] trunk/f2b44424a1f3481ddc066e8dd62c0cafa1298e92 -> trunk/f2b44424a1f3481ddc066e8dd62c0cafa1298e92 2025-07-17T07:01:09.5151326Z * [new tag] trunk/f2d70898c6fad6c6e867d9bf60eced6aacfa9782 -> trunk/f2d70898c6fad6c6e867d9bf60eced6aacfa9782 2025-07-17T07:01:09.5152427Z * [new tag] trunk/f2e712ca14dbbb8435427fd536b0dd63994a9265 -> trunk/f2e712ca14dbbb8435427fd536b0dd63994a9265 2025-07-17T07:01:09.5153525Z * [new tag] trunk/f2ecf6145fde55baa8a91e27b6b3489172f0e639 -> trunk/f2ecf6145fde55baa8a91e27b6b3489172f0e639 2025-07-17T07:01:09.5154678Z * [new tag] trunk/f34335bf3373301ba3af3ff8268cd0cd1715bd2e -> trunk/f34335bf3373301ba3af3ff8268cd0cd1715bd2e 2025-07-17T07:01:09.5155848Z * [new tag] trunk/f34ab1628b6798cc62f55260dfad872f5df8fd94 -> trunk/f34ab1628b6798cc62f55260dfad872f5df8fd94 2025-07-17T07:01:09.5157059Z * [new tag] trunk/f3e6c8e834a49f738e329b802b4b10912e33915f -> trunk/f3e6c8e834a49f738e329b802b4b10912e33915f 2025-07-17T07:01:09.5158201Z * [new tag] trunk/f3ec16c26a24bcbdcb96c692e321be1a4464067c -> trunk/f3ec16c26a24bcbdcb96c692e321be1a4464067c 2025-07-17T07:01:09.5159310Z * [new tag] trunk/f402eed4d9515dee5bb9b11a2b157de57a5988c1 -> trunk/f402eed4d9515dee5bb9b11a2b157de57a5988c1 2025-07-17T07:01:09.5160406Z * [new tag] trunk/f40efde2a474ffd77c021686da2f14864d6aeb6d -> trunk/f40efde2a474ffd77c021686da2f14864d6aeb6d 2025-07-17T07:01:09.5161725Z * [new tag] trunk/f41d017aa6ca1bd121cee6e428875b7fd31a7ad0 -> trunk/f41d017aa6ca1bd121cee6e428875b7fd31a7ad0 2025-07-17T07:01:09.5162823Z * [new tag] trunk/f4376cac54978b9d7c859c1e3495a57d72ab9601 -> trunk/f4376cac54978b9d7c859c1e3495a57d72ab9601 2025-07-17T07:01:09.5163904Z * [new tag] trunk/f4406689b8805ed23dfef34c6320bb99ea6d3767 -> trunk/f4406689b8805ed23dfef34c6320bb99ea6d3767 2025-07-17T07:01:09.5164904Z * [new tag] trunk/f44a9eee4778d2a2aafe3a0beeea7a37ab8d380e -> trunk/f44a9eee4778d2a2aafe3a0beeea7a37ab8d380e 2025-07-17T07:01:09.5166270Z * [new tag] trunk/f45f483884ef524f2d8260dcf2b2ba2c203eab2f -> trunk/f45f483884ef524f2d8260dcf2b2ba2c203eab2f 2025-07-17T07:01:09.5167414Z * [new tag] trunk/f45f6e86b9ef3d9c94b87c2240dbe9a07bb9fd3d -> trunk/f45f6e86b9ef3d9c94b87c2240dbe9a07bb9fd3d 2025-07-17T07:01:09.5168557Z * [new tag] trunk/f48a1576606186cf2104c82be367b617912322de -> trunk/f48a1576606186cf2104c82be367b617912322de 2025-07-17T07:01:09.5169864Z * [new tag] trunk/f4d60a68dd2fb9fda92af83df016f4cfe3af00ba -> trunk/f4d60a68dd2fb9fda92af83df016f4cfe3af00ba 2025-07-17T07:01:09.5170955Z * [new tag] trunk/f56bfb3030acff03e21d568089f3af9e09ec7cb2 -> trunk/f56bfb3030acff03e21d568089f3af9e09ec7cb2 2025-07-17T07:01:09.5171936Z * [new tag] trunk/f58a680d09e13658a52c6ba05c63c15759846bcc -> trunk/f58a680d09e13658a52c6ba05c63c15759846bcc 2025-07-17T07:01:09.5173233Z * [new tag] trunk/f59c76b5494f83abbb2ca169e13201439396c1aa -> trunk/f59c76b5494f83abbb2ca169e13201439396c1aa 2025-07-17T07:01:09.5174160Z * [new tag] trunk/f5bbaa22536437e9f689db8ee7a5ca472fdf4bd0 -> trunk/f5bbaa22536437e9f689db8ee7a5ca472fdf4bd0 2025-07-17T07:01:09.5175303Z * [new tag] trunk/f5e1b24945cf7852a1425923ca543e1f83be14b1 -> trunk/f5e1b24945cf7852a1425923ca543e1f83be14b1 2025-07-17T07:01:09.5176158Z * [new tag] trunk/f5e6e52f2504d0d2c553fd292c89d999b2033616 -> trunk/f5e6e52f2504d0d2c553fd292c89d999b2033616 2025-07-17T07:01:09.5177298Z * [new tag] trunk/f5eb42e4c0405141134e9c52919ebb36ec77ca5f -> trunk/f5eb42e4c0405141134e9c52919ebb36ec77ca5f 2025-07-17T07:01:09.5178472Z * [new tag] trunk/f5f4beaf562911b5cf1a9e8b9eae5e5946681f3c -> trunk/f5f4beaf562911b5cf1a9e8b9eae5e5946681f3c 2025-07-17T07:01:09.5179272Z * [new tag] trunk/f6d138807f138868de0397936e2bee482c1fb987 -> trunk/f6d138807f138868de0397936e2bee482c1fb987 2025-07-17T07:01:09.5180540Z * [new tag] trunk/f6e18bc1054624bb148632a85c10371d6cc62492 -> trunk/f6e18bc1054624bb148632a85c10371d6cc62492 2025-07-17T07:01:09.5181702Z * [new tag] trunk/f70c80105ebc2a118af848c80a18d6efff820f72 -> trunk/f70c80105ebc2a118af848c80a18d6efff820f72 2025-07-17T07:01:09.5182820Z * [new tag] trunk/f7127b9b940a98596599acda1f89fc5153635a5d -> trunk/f7127b9b940a98596599acda1f89fc5153635a5d 2025-07-17T07:01:09.5183803Z * [new tag] trunk/f7130c097efa826313df44f0dcfa7d4d2e4253ec -> trunk/f7130c097efa826313df44f0dcfa7d4d2e4253ec 2025-07-17T07:01:09.5184733Z * [new tag] trunk/f742b32a2ff6326f67512d2b426cdc2da8413a75 -> trunk/f742b32a2ff6326f67512d2b426cdc2da8413a75 2025-07-17T07:01:09.5185610Z * [new tag] trunk/f79689bd3d145e76746e4cf81e99c40df8272a72 -> trunk/f79689bd3d145e76746e4cf81e99c40df8272a72 2025-07-17T07:01:09.5186846Z * [new tag] trunk/f7a5ad6c2987ee5a83aa5d868cee3b8067d3de94 -> trunk/f7a5ad6c2987ee5a83aa5d868cee3b8067d3de94 2025-07-17T07:01:09.5187993Z * [new tag] trunk/f80a61adf57badf999387efe47b8b2ff3388bd96 -> trunk/f80a61adf57badf999387efe47b8b2ff3388bd96 2025-07-17T07:01:09.5189077Z * [new tag] trunk/f810480dbefabbff6cf0852c9f610f84dd440b8d -> trunk/f810480dbefabbff6cf0852c9f610f84dd440b8d 2025-07-17T07:01:09.5190165Z * [new tag] trunk/f810e98143b7b1fe3436d5315101b22aa8438775 -> trunk/f810e98143b7b1fe3436d5315101b22aa8438775 2025-07-17T07:01:09.5191160Z * [new tag] trunk/f8293116f55a9ad399e4938f0fe3e34c6faa47c4 -> trunk/f8293116f55a9ad399e4938f0fe3e34c6faa47c4 2025-07-17T07:01:09.5192495Z * [new tag] trunk/f85954e043a5b6affb589012e8cc5eff8fdb5358 -> trunk/f85954e043a5b6affb589012e8cc5eff8fdb5358 2025-07-17T07:01:09.5193590Z * [new tag] trunk/f860992db5601a78f73eefc0a56af1d7158d6953 -> trunk/f860992db5601a78f73eefc0a56af1d7158d6953 2025-07-17T07:01:09.5194661Z * [new tag] trunk/f87d1179391d66854e3c6ca20717803cfa22f878 -> trunk/f87d1179391d66854e3c6ca20717803cfa22f878 2025-07-17T07:01:09.5195794Z * [new tag] trunk/f88d7a7a34d5a54d58f0a7edc01ff69f46221b6c -> trunk/f88d7a7a34d5a54d58f0a7edc01ff69f46221b6c 2025-07-17T07:01:09.5196916Z * [new tag] trunk/f8baec8984ed90b526fdc03eec19d8039e7d373b -> trunk/f8baec8984ed90b526fdc03eec19d8039e7d373b 2025-07-17T07:01:09.5198059Z * [new tag] trunk/f8c0a4bd28087b02958b92d7b4f41ebc607292b7 -> trunk/f8c0a4bd28087b02958b92d7b4f41ebc607292b7 2025-07-17T07:01:09.5199154Z * [new tag] trunk/f8cc4c0af802269fbe16a418386a94b3b6547c74 -> trunk/f8cc4c0af802269fbe16a418386a94b3b6547c74 2025-07-17T07:01:09.5200292Z * [new tag] trunk/f97f03c7efcf2b7a45384b9094eb6be4cb419546 -> trunk/f97f03c7efcf2b7a45384b9094eb6be4cb419546 2025-07-17T07:01:09.5201422Z * [new tag] trunk/fa0ea57f5e083daab1eb9cda39ab53a5159b077d -> trunk/fa0ea57f5e083daab1eb9cda39ab53a5159b077d 2025-07-17T07:01:09.5202322Z * [new tag] trunk/fa1c20ae9285f7994a73d2d06025065f96b67a57 -> trunk/fa1c20ae9285f7994a73d2d06025065f96b67a57 2025-07-17T07:01:09.5203475Z * [new tag] trunk/fa3c38c7ae17b8d8fccd0958831f9f1ced9e46b3 -> trunk/fa3c38c7ae17b8d8fccd0958831f9f1ced9e46b3 2025-07-17T07:01:09.5204581Z * [new tag] trunk/fa4f07b5b80bdcf99a1c7452de41939d2ab5886f -> trunk/fa4f07b5b80bdcf99a1c7452de41939d2ab5886f 2025-07-17T07:01:09.5205583Z * [new tag] trunk/fa705f791249c5eee912096f1d7ac7b2d5b60e8c -> trunk/fa705f791249c5eee912096f1d7ac7b2d5b60e8c 2025-07-17T07:01:09.5206687Z * [new tag] trunk/fab53dfdf1d89cecd5e82b12cced9b6dd217e87c -> trunk/fab53dfdf1d89cecd5e82b12cced9b6dd217e87c 2025-07-17T07:01:09.5207917Z * [new tag] trunk/fab85fc5f995ef79e67dc4b083f8cfabe7a90798 -> trunk/fab85fc5f995ef79e67dc4b083f8cfabe7a90798 2025-07-17T07:01:09.5208782Z * [new tag] trunk/fac0cc16efd342637a3d1953caf2ecfa8a89947c -> trunk/fac0cc16efd342637a3d1953caf2ecfa8a89947c 2025-07-17T07:01:09.5209985Z * [new tag] trunk/fadc936fad0793e931ed2eb89577e1d10d212f71 -> trunk/fadc936fad0793e931ed2eb89577e1d10d212f71 2025-07-17T07:01:09.5210811Z * [new tag] trunk/fb45649df7267e97efffec8305cddcb23e97d53f -> trunk/fb45649df7267e97efffec8305cddcb23e97d53f 2025-07-17T07:01:09.5212066Z * [new tag] trunk/fb462cec8d8674ad547c55dbe90710bde1dc2019 -> trunk/fb462cec8d8674ad547c55dbe90710bde1dc2019 2025-07-17T07:01:09.5213711Z * [new tag] trunk/fb731fe371cb1b5bf95de84b19c213590526acb2 -> trunk/fb731fe371cb1b5bf95de84b19c213590526acb2 2025-07-17T07:01:09.5214925Z * [new tag] trunk/fb75dea2c1b93c78dccf08d5fd5e20b362ecd405 -> trunk/fb75dea2c1b93c78dccf08d5fd5e20b362ecd405 2025-07-17T07:01:09.5216180Z * [new tag] trunk/fb9a5d248f36ddce041025c8fc5be0d8bee454b0 -> trunk/fb9a5d248f36ddce041025c8fc5be0d8bee454b0 2025-07-17T07:01:09.5217397Z * [new tag] trunk/fbbab794ef6befbe7ffab3648e9b1f2042942fed -> trunk/fbbab794ef6befbe7ffab3648e9b1f2042942fed 2025-07-17T07:01:09.5218606Z * [new tag] trunk/fbd88ae2b5f444cb4b419c415258caeaef4b7325 -> trunk/fbd88ae2b5f444cb4b419c415258caeaef4b7325 2025-07-17T07:01:09.5219482Z * [new tag] trunk/fc0376e8b162d8fcf4375ae30566139eae7d48ed -> trunk/fc0376e8b162d8fcf4375ae30566139eae7d48ed 2025-07-17T07:01:09.5221106Z * [new tag] trunk/fc10d4b1d649f1460b587f3ab45ad4403d84518c -> trunk/fc10d4b1d649f1460b587f3ab45ad4403d84518c 2025-07-17T07:01:09.5222543Z * [new tag] trunk/fc177801afcbf12543b5e193e736b155f79d4ad3 -> trunk/fc177801afcbf12543b5e193e736b155f79d4ad3 2025-07-17T07:01:09.5223733Z * [new tag] trunk/fc5ae1229341ca2841a977197c644733c6a5c789 -> trunk/fc5ae1229341ca2841a977197c644733c6a5c789 2025-07-17T07:01:09.5224798Z * [new tag] trunk/fc772692622e89335dc28638c512bb33dbed1729 -> trunk/fc772692622e89335dc28638c512bb33dbed1729 2025-07-17T07:01:09.5226075Z * [new tag] trunk/fca7013f85d4e7ac07bdd461f490aa159feac6a0 -> trunk/fca7013f85d4e7ac07bdd461f490aa159feac6a0 2025-07-17T07:01:09.5227388Z * [new tag] trunk/fcbf7c749a839cc817927ceba8ea2887cc28dbf5 -> trunk/fcbf7c749a839cc817927ceba8ea2887cc28dbf5 2025-07-17T07:01:09.5228282Z * [new tag] trunk/fcc682be4bda58894a15fee1d9041c6043fea66f -> trunk/fcc682be4bda58894a15fee1d9041c6043fea66f 2025-07-17T07:01:09.5229427Z * [new tag] trunk/fd4bb29410c035b31ca55262c3012cadb1194aae -> trunk/fd4bb29410c035b31ca55262c3012cadb1194aae 2025-07-17T07:01:09.5230525Z * [new tag] trunk/fd4f704905f95b46c4c8fb4108461ff56ce750c5 -> trunk/fd4f704905f95b46c4c8fb4108461ff56ce750c5 2025-07-17T07:01:09.5231686Z * [new tag] trunk/fd8ea3c8a35e5b4aea3ebd712f2c7ee28c5a3655 -> trunk/fd8ea3c8a35e5b4aea3ebd712f2c7ee28c5a3655 2025-07-17T07:01:09.5232850Z * [new tag] trunk/fdc5b42a8fa2b15526c81f2c83f614e086056320 -> trunk/fdc5b42a8fa2b15526c81f2c83f614e086056320 2025-07-17T07:01:09.5233817Z * [new tag] trunk/fdf5d97fa8393f56aea2779877efd8a264ad5811 -> trunk/fdf5d97fa8393f56aea2779877efd8a264ad5811 2025-07-17T07:01:09.5235235Z * [new tag] trunk/fe1f1a38dff7c59ec0ec5b05fef058629845d061 -> trunk/fe1f1a38dff7c59ec0ec5b05fef058629845d061 2025-07-17T07:01:09.5236353Z * [new tag] trunk/fec571cfd458c4644a2f483dbf9f5480feca7939 -> trunk/fec571cfd458c4644a2f483dbf9f5480feca7939 2025-07-17T07:01:09.5237347Z * [new tag] trunk/fec8af8b98f5e17740ff947e9f8a1c447a497413 -> trunk/fec8af8b98f5e17740ff947e9f8a1c447a497413 2025-07-17T07:01:09.5238304Z * [new tag] trunk/fedbd1a48e1e474cf9da5637aae89b5bc4c20626 -> trunk/fedbd1a48e1e474cf9da5637aae89b5bc4c20626 2025-07-17T07:01:09.5239424Z * [new tag] trunk/fee2377f9ea62223f69ea9904c5e25ccb2af5961 -> trunk/fee2377f9ea62223f69ea9904c5e25ccb2af5961 2025-07-17T07:01:09.5240267Z * [new tag] trunk/feea575082439a0496dd404a4925b7d551039065 -> trunk/feea575082439a0496dd404a4925b7d551039065 2025-07-17T07:01:09.5241448Z * [new tag] trunk/ff611d971fe5362a71c15109cf020d30e6c4b2b9 -> trunk/ff611d971fe5362a71c15109cf020d30e6c4b2b9 2025-07-17T07:01:09.5242597Z * [new tag] trunk/ff7dd1776f9cb8448336338b19b9b53073f2fbda -> trunk/ff7dd1776f9cb8448336338b19b9b53073f2fbda 2025-07-17T07:01:09.5243711Z * [new tag] trunk/ff8b53c056e6556187690a37c944c92feb964d2d -> trunk/ff8b53c056e6556187690a37c944c92feb964d2d 2025-07-17T07:01:09.5244808Z * [new tag] trunk/ffac0de07e0173a073c92c157f43c515009c0de1 -> trunk/ffac0de07e0173a073c92c157f43c515009c0de1 2025-07-17T07:01:09.5246032Z * [new tag] trunk/ffaed8c569406839335bf46dafc4c3e8871e4b8a -> trunk/ffaed8c569406839335bf46dafc4c3e8871e4b8a 2025-07-17T07:01:09.5247151Z * [new tag] trunk/ffc6cbfaf78ca219092ce64dcf113377ae698300 -> trunk/ffc6cbfaf78ca219092ce64dcf113377ae698300 2025-07-17T07:01:09.5248028Z * [new tag] v0.1.1 -> v0.1.1 2025-07-17T07:01:09.5249092Z * [new tag] v0.1.10 -> v0.1.10 2025-07-17T07:01:09.5250071Z * [new tag] v0.1.11 -> v0.1.11 2025-07-17T07:01:09.5251088Z * [new tag] v0.1.12 -> v0.1.12 2025-07-17T07:01:09.5252035Z * [new tag] v0.1.2 -> v0.1.2 2025-07-17T07:01:09.5253104Z * [new tag] v0.1.3 -> v0.1.3 2025-07-17T07:01:09.5254085Z * [new tag] v0.1.4 -> v0.1.4 2025-07-17T07:01:09.5255051Z * [new tag] v0.1.5 -> v0.1.5 2025-07-17T07:01:09.5256072Z * [new tag] v0.1.6 -> v0.1.6 2025-07-17T07:01:09.5257002Z * [new tag] v0.1.7 -> v0.1.7 2025-07-17T07:01:09.5257957Z * [new tag] v0.1.8 -> v0.1.8 2025-07-17T07:01:09.5258903Z * [new tag] v0.1.9 -> v0.1.9 2025-07-17T07:01:09.5260458Z * [new tag] v0.2.0 -> v0.2.0 2025-07-17T07:01:09.5261546Z * [new tag] v0.3.0 -> v0.3.0 2025-07-17T07:01:09.5262621Z * [new tag] v0.3.1 -> v0.3.1 2025-07-17T07:01:09.5263677Z * [new tag] v0.4.0 -> v0.4.0 2025-07-17T07:01:09.5264621Z * [new tag] v0.4.1 -> v0.4.1 2025-07-17T07:01:09.5265662Z * [new tag] v1.0.0 -> v1.0.0 2025-07-17T07:01:09.5266638Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-07-17T07:01:09.5267654Z * [new tag] v1.0.1 -> v1.0.1 2025-07-17T07:01:09.5268687Z * [new tag] v1.0rc0 -> v1.0rc0 2025-07-17T07:01:09.5269826Z * [new tag] v1.0rc1 -> v1.0rc1 2025-07-17T07:01:09.5270846Z * [new tag] v1.1.0 -> v1.1.0 2025-07-17T07:01:09.5271909Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-07-17T07:01:09.5273123Z * [new tag] v1.10.0 -> v1.10.0 2025-07-17T07:01:09.5274246Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-07-17T07:01:09.5275281Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-07-17T07:01:09.5276022Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-07-17T07:01:09.5277158Z * [new tag] v1.10.1 -> v1.10.1 2025-07-17T07:01:09.5278116Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-07-17T07:01:09.5278786Z * [new tag] v1.10.2 -> v1.10.2 2025-07-17T07:01:09.5279664Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-07-17T07:01:09.5280722Z * [new tag] v1.11.0 -> v1.11.0 2025-07-17T07:01:09.5281857Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-07-17T07:01:09.5282991Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-07-17T07:01:09.5284068Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-07-17T07:01:09.5285160Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-07-17T07:01:09.5286305Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-07-17T07:01:09.5287010Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-07-17T07:01:09.5287886Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-07-17T07:01:09.5289015Z * [new tag] v1.12.0 -> v1.12.0 2025-07-17T07:01:09.5290109Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-07-17T07:01:09.5291096Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-07-17T07:01:09.5292166Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-07-17T07:01:09.5293260Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-07-17T07:01:09.5294284Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-07-17T07:01:09.5295375Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-07-17T07:01:09.5296117Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-07-17T07:01:09.5296987Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-07-17T07:01:09.5297828Z * [new tag] v1.12.1 -> v1.12.1 2025-07-17T07:01:09.5299063Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-07-17T07:01:09.5300133Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-07-17T07:01:09.5301226Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-07-17T07:01:09.5302469Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-07-17T07:01:09.5303163Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-07-17T07:01:09.5304289Z * [new tag] v1.13.0 -> v1.13.0 2025-07-17T07:01:09.5305293Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-07-17T07:01:09.5306303Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-07-17T07:01:09.5307318Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-07-17T07:01:09.5308461Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-07-17T07:01:09.5309197Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-07-17T07:01:09.5310090Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-07-17T07:01:09.5311197Z * [new tag] v1.13.1 -> v1.13.1 2025-07-17T07:01:09.5311884Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-07-17T07:01:09.5312934Z * [new tag] v1.2.0 -> v1.2.0 2025-07-17T07:01:09.5313985Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-07-17T07:01:09.5314991Z * [new tag] v1.3.0 -> v1.3.0 2025-07-17T07:01:09.5316037Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-07-17T07:01:09.5316773Z * [new tag] v1.3.1 -> v1.3.1 2025-07-17T07:01:09.5317947Z * [new tag] v1.4.0 -> v1.4.0 2025-07-17T07:01:09.5318964Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-07-17T07:01:09.5319701Z * [new tag] v1.4.1 -> v1.4.1 2025-07-17T07:01:09.5320852Z * [new tag] v1.5.0 -> v1.5.0 2025-07-17T07:01:09.5322105Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-07-17T07:01:09.5323177Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-07-17T07:01:09.5324312Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-07-17T07:01:09.5325658Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-07-17T07:01:09.5326527Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-07-17T07:01:09.5327700Z * [new tag] v1.5.1 -> v1.5.1 2025-07-17T07:01:09.5328426Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-07-17T07:01:09.5329317Z * [new tag] v1.6.0 -> v1.6.0 2025-07-17T07:01:09.5330367Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-07-17T07:01:09.5331446Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-07-17T07:01:09.5332592Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-07-17T07:01:09.5333663Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-07-17T07:01:09.5334735Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-07-17T07:01:09.5335766Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-07-17T07:01:09.5336561Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-07-17T07:01:09.5337666Z * [new tag] v1.7.0 -> v1.7.0 2025-07-17T07:01:09.5338794Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-07-17T07:01:09.5339981Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-07-17T07:01:09.5341106Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-07-17T07:01:09.5341827Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-07-17T07:01:09.5342972Z * [new tag] v1.7.1 -> v1.7.1 2025-07-17T07:01:09.5344099Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-07-17T07:01:09.5345186Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-07-17T07:01:09.5345928Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-07-17T07:01:09.5347119Z * [new tag] v1.8.0 -> v1.8.0 2025-07-17T07:01:09.5347852Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-07-17T07:01:09.5348995Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-07-17T07:01:09.5350031Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-07-17T07:01:09.5351197Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-07-17T07:01:09.5351937Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-07-17T07:01:09.5352855Z * [new tag] v1.8.1 -> v1.8.1 2025-07-17T07:01:09.5353916Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-07-17T07:01:09.5354650Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-07-17T07:01:09.5355509Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-07-17T07:01:09.5357015Z * [new tag] v1.8.2 -> v1.8.2 2025-07-17T07:01:09.5357749Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-07-17T07:01:09.5358946Z * [new tag] v1.9.0 -> v1.9.0 2025-07-17T07:01:09.5359955Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-07-17T07:01:09.5361093Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-07-17T07:01:09.5362162Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-07-17T07:01:09.5363014Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-07-17T07:01:09.5364112Z * [new tag] v1.9.1 -> v1.9.1 2025-07-17T07:01:09.5365400Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-07-17T07:01:09.5366099Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-07-17T07:01:09.5367275Z * [new tag] v2.0.0 -> v2.0.0 2025-07-17T07:01:09.5368270Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-07-17T07:01:09.5369342Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-07-17T07:01:09.5375942Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-07-17T07:01:09.5377042Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-07-17T07:01:09.5378220Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-07-17T07:01:09.5378958Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-07-17T07:01:09.5380262Z * [new tag] v2.0.1 -> v2.0.1 2025-07-17T07:01:09.5381345Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-07-17T07:01:09.5382228Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-07-17T07:01:09.5383274Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-07-17T07:01:09.5383991Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-07-17T07:01:09.5385612Z * [new tag] v2.1.0 -> v2.1.0 2025-07-17T07:01:09.5386595Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-07-17T07:01:09.5387683Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-07-17T07:01:09.5388801Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-07-17T07:01:09.5389968Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-07-17T07:01:09.5391108Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-07-17T07:01:09.5391806Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-07-17T07:01:09.5392921Z * [new tag] v2.1.1 -> v2.1.1 2025-07-17T07:01:09.5393999Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-07-17T07:01:09.5395014Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-07-17T07:01:09.5396208Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-07-17T07:01:09.5397675Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-07-17T07:01:09.5398704Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-07-17T07:01:09.5399535Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-07-17T07:01:09.5400531Z * [new tag] v2.1.2 -> v2.1.2 2025-07-17T07:01:09.5401756Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-07-17T07:01:09.5402752Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-07-17T07:01:09.5403629Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-07-17T07:01:09.5404726Z * [new tag] v2.2.0 -> v2.2.0 2025-07-17T07:01:09.5405829Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-07-17T07:01:09.5406792Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-07-17T07:01:09.5407711Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-07-17T07:01:09.5408681Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-07-17T07:01:09.5409640Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-07-17T07:01:09.5410733Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-07-17T07:01:09.5411548Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-07-17T07:01:09.5412385Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-07-17T07:01:09.5413417Z * [new tag] v2.2.1 -> v2.2.1 2025-07-17T07:01:09.5414437Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-07-17T07:01:09.5415287Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-07-17T07:01:09.5416124Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-07-17T07:01:09.5416838Z * [new tag] v2.2.2 -> v2.2.2 2025-07-17T07:01:09.5418091Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-07-17T07:01:09.5418920Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-07-17T07:01:09.5419797Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-07-17T07:01:09.5420855Z * [new tag] v2.3.0 -> v2.3.0 2025-07-17T07:01:09.5421992Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-07-17T07:01:09.5423085Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-07-17T07:01:09.5424220Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-07-17T07:01:09.5425077Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-07-17T07:01:09.5426135Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-07-17T07:01:09.5427170Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-07-17T07:01:09.5428247Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-07-17T07:01:09.5429284Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-07-17T07:01:09.5430133Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-07-17T07:01:09.5431235Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-07-17T07:01:09.5432285Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-07-17T07:01:09.5433017Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-07-17T07:01:09.5433925Z * [new tag] v2.3.1 -> v2.3.1 2025-07-17T07:01:09.5434964Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-07-17T07:01:09.5436043Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-07-17T07:01:09.5437108Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-07-17T07:01:09.5438193Z * [new tag] v2.4.0 -> v2.4.0 2025-07-17T07:01:09.5439241Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-07-17T07:01:09.5440243Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-07-17T07:01:09.5441262Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-07-17T07:01:09.5442312Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-07-17T07:01:09.5443469Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-07-17T07:01:09.5444532Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-07-17T07:01:09.5445608Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-07-17T07:01:09.5446670Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-07-17T07:01:09.5447793Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-07-17T07:01:09.5448520Z * [new tag] v2.4.1 -> v2.4.1 2025-07-17T07:01:09.5449725Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-07-17T07:01:09.5450892Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-07-17T07:01:09.5452010Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-07-17T07:01:09.5453014Z * [new tag] v2.5.0 -> v2.5.0 2025-07-17T07:01:09.5454103Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-07-17T07:01:09.5455027Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-07-17T07:01:09.5456099Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-07-17T07:01:09.5457117Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-07-17T07:01:09.5458184Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-07-17T07:01:09.5459257Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-07-17T07:01:09.5460494Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-07-17T07:01:09.5461542Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-07-17T07:01:09.5463094Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-07-17T07:01:09.5464187Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-07-17T07:01:09.5465057Z * [new tag] v2.5.1 -> v2.5.1 2025-07-17T07:01:09.5465793Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-07-17T07:01:09.5466676Z * [new tag] v2.6.0 -> v2.6.0 2025-07-17T07:01:09.5467801Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-07-17T07:01:09.5468943Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-07-17T07:01:09.5470278Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-07-17T07:01:09.5471264Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-07-17T07:01:09.5472598Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-07-17T07:01:09.5473774Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-07-17T07:01:09.5474904Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-07-17T07:01:09.5476150Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-07-17T07:01:09.5477233Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-07-17T07:01:09.5478507Z * [new tag] v2.7.0 -> v2.7.0 2025-07-17T07:01:09.5479552Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-07-17T07:01:09.5480418Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-07-17T07:01:09.5481600Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-07-17T07:01:09.5482681Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-07-17T07:01:09.5483834Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-07-17T07:01:09.5484819Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-07-17T07:01:09.5485869Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-07-17T07:01:09.5486950Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-07-17T07:01:09.5488187Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-07-17T07:01:09.5489236Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-07-17T07:01:09.5490131Z * [new tag] v2.7.1 -> v2.7.1 2025-07-17T07:01:09.5491331Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-07-17T07:01:09.5492409Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-07-17T07:01:09.5493596Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-07-17T07:01:09.5494721Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-07-17T07:01:09.5495777Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-07-17T07:01:09.5496871Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-07-17T07:01:09.5497957Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-07-17T07:01:09.5499114Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-07-17T07:01:09.5500328Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-07-17T07:01:09.5501430Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-07-17T07:01:09.5502477Z * [new tag] whc_flight_1 -> whc_flight_1 2025-07-17T07:01:09.5503233Z * [new tag] whc_flight_2 -> whc_flight_2 2025-07-17T07:01:09.5504254Z * [new tag] whc_flight_4 -> whc_flight_4 2025-07-17T07:01:09.6341078Z [command]/usr/bin/git rev-parse --verify --quiet a38f433be2e94a64b095a44ba39879d02d0c2316^{object} 2025-07-17T07:01:09.6366168Z a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:01:09.6370492Z ##[endgroup] 2025-07-17T07:01:09.6370823Z ##[group]Determining the checkout info 2025-07-17T07:01:09.6371422Z ##[endgroup] 2025-07-17T07:01:09.6375348Z [command]/usr/bin/git sparse-checkout disable 2025-07-17T07:01:09.6417149Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-07-17T07:01:09.6455937Z ##[group]Checking out the ref 2025-07-17T07:01:09.6459780Z [command]/usr/bin/git checkout --progress --force a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:01:10.6709357Z Updating files: 85% (16793/19589) 2025-07-17T07:01:10.6867865Z Updating files: 86% (16847/19589) 2025-07-17T07:01:10.6999504Z Updating files: 87% (17043/19589) 2025-07-17T07:01:10.7126346Z 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2025-07-17T07:01:10.9218910Z You are in 'detached HEAD' state. You can look around, make experimental 2025-07-17T07:01:10.9219462Z changes and commit them, and you can discard any commits you make in this 2025-07-17T07:01:10.9220072Z state without impacting any branches by switching back to a branch. 2025-07-17T07:01:10.9220414Z 2025-07-17T07:01:10.9220623Z If you want to create a new branch to retain commits you create, you may 2025-07-17T07:01:10.9221142Z do so (now or later) by using -c with the switch command. Example: 2025-07-17T07:01:10.9221437Z 2025-07-17T07:01:10.9221769Z git switch -c 2025-07-17T07:01:10.9221993Z 2025-07-17T07:01:10.9222103Z Or undo this operation with: 2025-07-17T07:01:10.9222301Z 2025-07-17T07:01:10.9222392Z git switch - 2025-07-17T07:01:10.9222527Z 2025-07-17T07:01:10.9222783Z Turn off this advice by setting config variable advice.detachedHead to false 2025-07-17T07:01:10.9223142Z 2025-07-17T07:01:10.9223410Z HEAD is now at a38f433be2e [Docker builds] Move from Miniconda to Miniforge (#158370) 2025-07-17T07:01:10.9295546Z ##[endgroup] 2025-07-17T07:01:10.9295981Z ##[group]Setting up auth for fetching submodules 2025-07-17T07:01:10.9302364Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-07-17T07:01:10.9346035Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-07-17T07:01:10.9372543Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-07-17T07:01:10.9399236Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-07-17T07:01:10.9422426Z ##[endgroup] 2025-07-17T07:01:10.9422845Z ##[group]Fetching submodules 2025-07-17T07:01:10.9425440Z [command]/usr/bin/git submodule sync --recursive 2025-07-17T07:01:10.9756638Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-07-17T07:01:11.0124730Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-07-17T07:01:11.0126326Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-07-17T07:01:11.0129384Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-07-17T07:01:11.0132589Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-07-17T07:01:11.0409938Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-07-17T07:01:11.0412551Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-07-17T07:01:11.0416141Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-07-17T07:01:11.0420087Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-07-17T07:01:11.0424263Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-07-17T07:01:11.0428552Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-07-17T07:01:11.0432799Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-07-17T07:01:11.0442385Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-07-17T07:01:11.0446934Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-07-17T07:01:11.0452068Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-07-17T07:01:11.0456934Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-07-17T07:01:11.0461989Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-07-17T07:01:11.0466962Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-07-17T07:01:11.0472304Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-07-17T07:01:11.0477558Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-07-17T07:01:11.0488074Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-07-17T07:01:11.0495019Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-07-17T07:01:11.0500468Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-07-17T07:01:11.0505993Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-07-17T07:01:11.0511492Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-07-17T07:01:11.0517254Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-07-17T07:01:11.0523732Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-07-17T07:01:11.0534419Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-07-17T07:01:11.0540288Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-07-17T07:01:11.0546604Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-07-17T07:01:11.0552515Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-07-17T07:01:11.0558716Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-07-17T07:01:11.0565069Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-07-17T07:01:11.0571997Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-07-17T07:01:11.0578284Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-07-17T07:01:11.0589953Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-07-17T07:01:11.0596535Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-07-17T07:01:11.0603357Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-07-17T07:01:11.0637208Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-07-17T07:01:11.2953665Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-07-17T07:01:11.2955076Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-07-17T07:01:11.2987548Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-07-17T07:01:19.4651365Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-07-17T07:01:19.4652819Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-07-17T07:01:19.4654236Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-07-17T07:01:19.4655669Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-07-17T07:01:19.4657117Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-07-17T07:01:19.4658534Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-07-17T07:01:19.4660460Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-07-17T07:01:19.4662108Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-07-17T07:01:19.4663753Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-07-17T07:01:19.4665248Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-07-17T07:01:19.4666635Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-07-17T07:01:19.4668046Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-07-17T07:01:19.4669365Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-07-17T07:01:19.4670916Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-07-17T07:01:19.4672309Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-07-17T07:01:19.4724320Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-07-17T07:01:20.0476842Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-07-17T07:01:20.4702686Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-07-17T07:01:20.4707433Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-07-17T07:01:21.1358741Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-07-17T07:01:21.1360808Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-07-17T07:01:21.1362260Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-07-17T07:01:21.1429480Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-07-17T07:01:49.5563887Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-07-17T07:01:49.5565426Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-07-17T07:01:49.5566887Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-07-17T07:01:49.5568384Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-07-17T07:01:49.5570169Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-07-17T07:01:49.5571578Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-07-17T07:01:49.5572960Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-07-17T07:01:49.5574318Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-07-17T07:01:49.5575857Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-07-17T07:01:49.6565406Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-07-17T07:01:50.1736354Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-07-17T07:01:50.1854725Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-07-17T07:01:50.1947379Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-07-17T07:01:50.2203037Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-07-17T07:01:50.2986006Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-07-17T07:01:50.3500961Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-07-17T07:01:51.0821062Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-07-17T07:01:51.2258144Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-07-17T07:01:51.2279495Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-07-17T07:01:51.2307890Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-07-17T07:01:54.2843352Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-07-17T07:01:54.3086236Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-07-17T07:01:54.5922440Z Submodule path 'third_party/composable_kernel': checked out '434d19f696da62c12b5372b32cbc9ba968588d7e' 2025-07-17T07:01:54.6458064Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c' 2025-07-17T07:01:54.7445965Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-07-17T07:01:54.7908163Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-07-17T07:01:55.4511204Z Submodule path 'third_party/cutlass': checked out 'b995f933179c22d3fe0d871c3a53d11e4681950f' 2025-07-17T07:01:55.5804215Z Submodule path 'third_party/fbgemm': checked out '157e88b750c452bef2ab4653fe9d1eeb151ce4c3' 2025-07-17T07:01:55.5824767Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-07-17T07:01:55.5827245Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-07-17T07:01:55.5829749Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-07-17T07:01:55.5832746Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-07-17T07:01:55.5835465Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-07-17T07:01:55.5838525Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-07-17T07:01:55.5841512Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-07-17T07:01:55.5871040Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-07-17T07:01:57.2779434Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-07-17T07:01:57.2781735Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-07-17T07:01:57.3780876Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-07-17T07:01:57.7067927Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-07-17T07:01:57.8070051Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-07-17T07:01:58.8031093Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-07-17T07:02:04.7056203Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'e5d7c0bd5d9aec44d68830187138149e6a8c4e32' 2025-07-17T07:02:04.9373137Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '4a61bdd4bd4ed730e078aebc7c0fcf046ff29406' 2025-07-17T07:02:05.0375047Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-07-17T07:02:05.3260067Z From https://github.com/jwfromm/cutlass 2025-07-17T07:02:05.8998311Z * branch 3ed8d2ec4ba35ef5d9d8353826209b6f868f63d3 -> FETCH_HEAD 2025-07-17T07:02:05.8999074Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '3ed8d2ec4ba35ef5d9d8353826209b6f868f63d3' 2025-07-17T07:02:05.9453993Z Submodule path 'third_party/fbgemm/external/googletest': checked out 'f8d7d77c06936315286eb55f8de22cd23c188571' 2025-07-17T07:02:05.9583225Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c' 2025-07-17T07:02:06.0672459Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-07-17T07:02:06.1370903Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-07-17T07:02:06.1390526Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-07-17T07:02:06.1392637Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-07-17T07:02:06.1423328Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-07-17T07:02:09.3087940Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-07-17T07:02:09.5512682Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-07-17T07:02:10.1155400Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-07-17T07:02:10.2590033Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-07-17T07:02:10.2944303Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-07-17T07:02:10.3365648Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-07-17T07:02:10.3627644Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-07-17T07:02:10.4100069Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-07-17T07:02:10.4236242Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-07-17T07:02:10.4253419Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-07-17T07:02:10.4279081Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-07-17T07:02:23.0894549Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-07-17T07:02:23.1120929Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-07-17T07:02:23.2005549Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-07-17T07:02:23.2025662Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-07-17T07:02:23.2027963Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-07-17T07:02:23.2030891Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-07-17T07:02:23.2060171Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-07-17T07:02:24.4438529Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-07-17T07:02:25.2664682Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-07-17T07:02:25.3500175Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-07-17T07:02:25.3517954Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-07-17T07:02:25.3520190Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-07-17T07:02:25.3522855Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-07-17T07:02:25.3525736Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-07-17T07:02:25.3529399Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-07-17T07:02:25.3532243Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-07-17T07:02:25.3535180Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-07-17T07:02:25.3538356Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-07-17T07:02:25.3567901Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-07-17T07:02:27.2913545Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-07-17T07:02:27.2915877Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-07-17T07:02:27.2918088Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-07-17T07:02:27.2920261Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-07-17T07:02:27.3498822Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-07-17T07:02:27.6818633Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-07-17T07:02:27.7820254Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-07-17T07:02:34.3527577Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-07-17T07:02:34.3713545Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-07-17T07:02:34.4086609Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-07-17T07:02:34.4227440Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-07-17T07:02:34.4243719Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-07-17T07:02:34.4272137Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-07-17T07:02:34.6999993Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-07-17T07:02:34.7195121Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-07-17T07:02:34.7608320Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-07-17T07:02:34.8663706Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-07-17T07:02:34.8839162Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-07-17T07:02:34.9242704Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-07-17T07:02:34.9850897Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 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2025-07-17T07:02:36.6146253Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-07-17T07:02:36.6149353Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-07-17T07:02:36.6152508Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-07-17T07:02:36.6185865Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-07-17T07:02:37.0938883Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-07-17T07:02:37.0940240Z Cloning into 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2025-07-17T07:02:56.9054377Z Entering 'third_party/FP16' 2025-07-17T07:02:56.9098210Z Entering 'third_party/FXdiv' 2025-07-17T07:02:56.9140991Z Entering 'third_party/NNPACK' 2025-07-17T07:02:56.9185044Z Entering 'third_party/NVTX' 2025-07-17T07:02:56.9228728Z Entering 'third_party/VulkanMemoryAllocator' 2025-07-17T07:02:56.9272553Z Entering 'third_party/XNNPACK' 2025-07-17T07:02:56.9332016Z Entering 'third_party/aiter' 2025-07-17T07:02:56.9393449Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-07-17T07:02:56.9445019Z Entering 'third_party/benchmark' 2025-07-17T07:02:56.9489204Z Entering 'third_party/composable_kernel' 2025-07-17T07:02:56.9539927Z Entering 'third_party/cpp-httplib' 2025-07-17T07:02:56.9583598Z Entering 'third_party/cpuinfo' 2025-07-17T07:02:56.9626630Z Entering 'third_party/cudnn_frontend' 2025-07-17T07:02:56.9669200Z Entering 'third_party/cutlass' 2025-07-17T07:02:56.9721269Z Entering 'third_party/fbgemm' 2025-07-17T07:02:56.9765540Z Entering 'third_party/fbgemm/external/asmjit' 2025-07-17T07:02:56.9809248Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-07-17T07:02:56.9857825Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-07-17T07:02:56.9901195Z Entering 'third_party/fbgemm/external/cutlass' 2025-07-17T07:02:56.9951653Z Entering 'third_party/fbgemm/external/googletest' 2025-07-17T07:02:56.9992432Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-07-17T07:02:57.0033019Z Entering 'third_party/fbgemm/external/json' 2025-07-17T07:02:57.0077582Z Entering 'third_party/flash-attention' 2025-07-17T07:02:57.0122707Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-07-17T07:02:57.0170455Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-07-17T07:02:57.0220020Z Entering 'third_party/flatbuffers' 2025-07-17T07:02:57.0266267Z Entering 'third_party/fmt' 2025-07-17T07:02:57.0308471Z Entering 'third_party/gemmlowp/gemmlowp' 2025-07-17T07:02:57.0353342Z Entering 'third_party/gloo' 2025-07-17T07:02:57.0396532Z Entering 'third_party/googletest' 2025-07-17T07:02:57.0438180Z Entering 'third_party/ideep' 2025-07-17T07:02:57.0480346Z Entering 'third_party/ideep/mkl-dnn' 2025-07-17T07:02:57.0529148Z Entering 'third_party/ittapi' 2025-07-17T07:02:57.0571075Z Entering 'third_party/kineto' 2025-07-17T07:02:57.0612653Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-07-17T07:02:57.0653211Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-07-17T07:02:57.0695982Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-07-17T07:02:57.0737630Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-07-17T07:02:57.0780453Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-07-17T07:02:57.0821754Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-07-17T07:02:57.0865120Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-07-17T07:02:57.0906806Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-07-17T07:02:57.0947986Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-07-17T07:02:57.0992873Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-07-17T07:02:57.1036048Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-07-17T07:02:57.1078806Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-07-17T07:02:57.1122053Z Entering 'third_party/kleidiai' 2025-07-17T07:02:57.1165794Z Entering 'third_party/mimalloc' 2025-07-17T07:02:57.1209470Z Entering 'third_party/nlohmann' 2025-07-17T07:02:57.1254500Z Entering 'third_party/onnx' 2025-07-17T07:02:57.1315284Z Entering 'third_party/onnx/third_party/pybind11' 2025-07-17T07:02:57.1359321Z Entering 'third_party/opentelemetry-cpp' 2025-07-17T07:02:57.1403720Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-07-17T07:02:57.1444458Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-07-17T07:02:57.1485717Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-07-17T07:02:57.1527164Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-07-17T07:02:57.1569223Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-07-17T07:02:57.1609702Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-07-17T07:02:57.1649813Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-07-17T07:02:57.1691836Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-07-17T07:02:57.1734367Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-07-17T07:02:57.1778668Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-07-17T07:02:57.1839588Z Entering 'third_party/pocketfft' 2025-07-17T07:02:57.1883083Z Entering 'third_party/protobuf' 2025-07-17T07:02:57.1929239Z Entering 'third_party/protobuf/third_party/benchmark' 2025-07-17T07:02:57.1969803Z Entering 'third_party/protobuf/third_party/googletest' 2025-07-17T07:02:57.2014785Z Entering 'third_party/psimd' 2025-07-17T07:02:57.2057371Z Entering 'third_party/pthreadpool' 2025-07-17T07:02:57.2101343Z Entering 'third_party/pybind11' 2025-07-17T07:02:57.2143457Z Entering 'third_party/python-peachpy' 2025-07-17T07:02:57.2186299Z Entering 'third_party/sleef' 2025-07-17T07:02:57.2228911Z Entering 'third_party/tensorpipe' 2025-07-17T07:02:57.2271441Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-07-17T07:02:57.2312382Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-07-17T07:02:57.2356621Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-07-17T07:02:57.2398254Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-07-17T07:02:57.2438057Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-07-17T07:02:57.2493291Z ##[endgroup] 2025-07-17T07:02:57.2529876Z [command]/usr/bin/git log -1 --format=%H 2025-07-17T07:02:57.2551318Z a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:02:57.2742721Z Prepare all required actions 2025-07-17T07:02:57.2743353Z Getting action download info 2025-07-17T07:02:57.3933294Z ##[group]Run ./.github/actions/setup-linux 2025-07-17T07:02:57.3933637Z env: 2025-07-17T07:02:57.3933863Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:02:57.3934115Z ##[endgroup] 2025-07-17T07:02:57.3977769Z ##[group]Run set -euo pipefail 2025-07-17T07:02:57.3978128Z set -euo pipefail 2025-07-17T07:02:57.3978426Z function get_ec2_metadata() { 2025-07-17T07:02:57.3978797Z  # Pulled from instance metadata endpoint for EC2 2025-07-17T07:02:57.3979447Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-07-17T07:02:57.3980139Z  category=$1 2025-07-17T07:02:57.3980496Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-07-17T07:02:57.3980948Z  runner_name_str=i-0d326a62c28fd400c 2025-07-17T07:02:57.3981369Z  if [[ -f /.inarc ]]; then 2025-07-17T07:02:57.3981714Z  echo "ARC Runner, no info on ec2 metadata" 2025-07-17T07:02:57.3982117Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-07-17T07:02:57.3982599Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-07-17T07:02:57.3983025Z  else 2025-07-17T07:02:57.3983904Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-07-17T07:02:57.3984844Z  fi 2025-07-17T07:02:57.3985060Z } 2025-07-17T07:02:57.3985316Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-07-17T07:02:57.3985751Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-07-17T07:02:57.3986240Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-07-17T07:02:57.3986670Z echo "system info $(uname -a)" 2025-07-17T07:02:57.3996738Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:02:57.3997135Z env: 2025-07-17T07:02:57.3997365Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:02:57.3997619Z ##[endgroup] 2025-07-17T07:02:57.4158806Z ami-id: ami-05ffe3c48a9991133 2025-07-17T07:02:57.4263598Z instance-id: i-0d326a62c28fd400c 2025-07-17T07:02:57.4369008Z instance-type: c5.2xlarge 2025-07-17T07:02:57.4382274Z system info Linux ip-10-0-52-108.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-07-17T07:02:57.4409564Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-07-17T07:02:57.4410525Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-07-17T07:02:57.4418042Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:02:57.4418462Z env: 2025-07-17T07:02:57.4418688Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:02:57.4418942Z ##[endgroup] 2025-07-17T07:02:57.4473669Z ##[group]Run if systemctl is-active --quiet docker; then 2025-07-17T07:02:57.4474131Z if systemctl is-active --quiet docker; then 2025-07-17T07:02:57.4474514Z  echo "Docker daemon is running..."; 2025-07-17T07:02:57.4474849Z else 2025-07-17T07:02:57.4475210Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-07-17T07:02:57.4475631Z fi 2025-07-17T07:02:57.4480913Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:02:57.4481303Z env: 2025-07-17T07:02:57.4481523Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:02:57.4481777Z ##[endgroup] 2025-07-17T07:02:57.4574564Z Docker daemon is running... 2025-07-17T07:02:57.4618011Z ##[group]Run nick-fields/retry@v3.0.0 2025-07-17T07:02:57.4618466Z with: 2025-07-17T07:02:57.4618678Z shell: bash 2025-07-17T07:02:57.4619034Z timeout_minutes: 5 2025-07-17T07:02:57.4619286Z max_attempts: 3 2025-07-17T07:02:57.4619636Z retry_wait_seconds: 30 2025-07-17T07:02:57.4621998Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-07-17T07:02:57.4624381Z polling_interval_seconds: 1 2025-07-17T07:02:57.4624662Z warning_on_retry: true 2025-07-17T07:02:57.4624930Z continue_on_error: false 2025-07-17T07:02:57.4625194Z env: 2025-07-17T07:02:57.4625401Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:02:57.4625668Z AWS_RETRY_MODE: standard 2025-07-17T07:02:57.4625939Z AWS_MAX_ATTEMPTS: 5 2025-07-17T07:02:57.4626192Z AWS_DEFAULT_REGION: us-east-1 2025-07-17T07:02:57.4626478Z ##[endgroup] 2025-07-17T07:02:58.7270740Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-07-17T07:02:58.7271373Z Configure a credential helper to remove this warning. See 2025-07-17T07:02:58.7272011Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-07-17T07:02:58.7272412Z 2025-07-17T07:02:58.7272526Z Login Succeeded 2025-07-17T07:02:59.6568833Z Command completed after 1 attempt(s). 2025-07-17T07:02:59.6629759Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-07-17T07:02:59.6630319Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-07-17T07:02:59.6630792Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-07-17T07:02:59.6638138Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:02:59.6638530Z env: 2025-07-17T07:02:59.6638741Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:02:59.6639016Z ##[endgroup] 2025-07-17T07:02:59.6741251Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-07-17T07:02:59.6741834Z # ignore expansion of "docker ps -q" since it could be empty 2025-07-17T07:02:59.6742273Z # shellcheck disable=SC2046 2025-07-17T07:02:59.6742615Z docker stop $(docker ps -q) || true 2025-07-17T07:02:59.6742955Z # Prune all of the docker images 2025-07-17T07:02:59.6743293Z docker system prune -af 2025-07-17T07:02:59.6748792Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:02:59.6749165Z env: 2025-07-17T07:02:59.6749385Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:02:59.6749651Z ##[endgroup] 2025-07-17T07:02:59.7185820Z "docker stop" requires at least 1 argument. 2025-07-17T07:02:59.7186559Z See 'docker stop --help'. 2025-07-17T07:02:59.7186894Z 2025-07-17T07:02:59.7187214Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-07-17T07:02:59.7187750Z 2025-07-17T07:02:59.7187957Z Stop one or more running containers 2025-07-17T07:02:59.7552279Z Total reclaimed space: 0B 2025-07-17T07:02:59.7600046Z ##[group]Run set +e 2025-07-17T07:02:59.7600551Z set +e 2025-07-17T07:02:59.7600948Z set -x 2025-07-17T07:02:59.7601339Z  2025-07-17T07:02:59.7601755Z PT_DOMAIN=download.pytorch.org 2025-07-17T07:02:59.7602801Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-07-17T07:02:59.7604109Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-07-17T07:02:59.7605099Z # one is returned at random 2025-07-17T07:02:59.7605808Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-07-17T07:02:59.7606733Z  2025-07-17T07:02:59.7607338Z if [ -z "${RESOLVED_IP}" ]; then 2025-07-17T07:02:59.7608096Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-07-17T07:02:59.7609048Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-07-17T07:02:59.7609752Z  2025-07-17T07:02:59.7610155Z  if [ -z "${RESOLVED_IP}" ]; then 2025-07-17T07:02:59.7610842Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-07-17T07:02:59.7611528Z  exit 1 2025-07-17T07:02:59.7611950Z  fi 2025-07-17T07:02:59.7612315Z fi 2025-07-17T07:02:59.7612676Z  2025-07-17T07:02:59.7613141Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-07-17T07:02:59.7613827Z  # Clean up any old records first 2025-07-17T07:02:59.7614515Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-07-17T07:02:59.7615135Z fi 2025-07-17T07:02:59.7615516Z  2025-07-17T07:02:59.7616090Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-07-17T07:02:59.7616821Z cat /etc/hosts 2025-07-17T07:02:59.7626391Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:02:59.7627050Z env: 2025-07-17T07:02:59.7627423Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:02:59.7627877Z ##[endgroup] 2025-07-17T07:02:59.7659160Z + PT_DOMAIN=download.pytorch.org 2025-07-17T07:02:59.7664708Z ++ dig -4 +short download.pytorch.org 2025-07-17T07:02:59.7665288Z ++ tail -n1 2025-07-17T07:02:59.8334105Z + RESOLVED_IP=18.160.10.22 2025-07-17T07:02:59.8334429Z + '[' -z 18.160.10.22 ']' 2025-07-17T07:02:59.8334732Z + grep -r download.pytorch.org /etc/hosts 2025-07-17T07:02:59.8350275Z + echo '18.160.10.22 download.pytorch.org' 2025-07-17T07:02:59.8350666Z + sudo tee -a /etc/hosts 2025-07-17T07:03:00.2300304Z 18.160.10.22 download.pytorch.org 2025-07-17T07:03:00.2323416Z + cat /etc/hosts 2025-07-17T07:03:00.2332895Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-07-17T07:03:00.2339924Z ::1 localhost6 localhost6.localdomain6 2025-07-17T07:03:00.2340555Z 18.160.10.22 download.pytorch.org 2025-07-17T07:03:00.2520168Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-07-17T07:03:00.2520656Z with: 2025-07-17T07:03:00.2521411Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:00.2522257Z use-custom-docker-registry: true 2025-07-17T07:03:00.2522581Z docker-build-dir: .ci/docker 2025-07-17T07:03:00.2522884Z docker-build-script: ./build.sh 2025-07-17T07:03:00.2523176Z working-directory: . 2025-07-17T07:03:00.2523528Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-07-17T07:03:00.2523934Z force-push: false 2025-07-17T07:03:00.2524154Z env: 2025-07-17T07:03:00.2524370Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:03:00.2524637Z ##[endgroup] 2025-07-17T07:03:00.2552246Z ##[group]Run set -ex 2025-07-17T07:03:00.2552568Z set -ex 2025-07-17T07:03:00.2552807Z  2025-07-17T07:03:00.2553253Z # If the docker build directory or the build script doesn't exist, the action will 2025-07-17T07:03:00.2553935Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-07-17T07:03:00.2554504Z # job could then download the pre-built image as usual 2025-07-17T07:03:00.2555212Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-07-17T07:03:00.2555870Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-07-17T07:03:00.2556196Z else 2025-07-17T07:03:00.2556462Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-07-17T07:03:00.2556916Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-07-17T07:03:00.2557335Z  2025-07-17T07:03:00.2558058Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-07-17T07:03:00.2558721Z  exit 0 2025-07-17T07:03:00.2558954Z fi 2025-07-17T07:03:00.2559157Z  2025-07-17T07:03:00.2559506Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-07-17T07:03:00.2560128Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-07-17T07:03:00.2560678Z  # use it as it is, but first let's extract the tag 2025-07-17T07:03:00.2561155Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-07-17T07:03:00.2561673Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-07-17T07:03:00.2562173Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-07-17T07:03:00.2562592Z else 2025-07-17T07:03:00.2562850Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-07-17T07:03:00.2563238Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-07-17T07:03:00.2563645Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-07-17T07:03:00.2563975Z  fi 2025-07-17T07:03:00.2564440Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-07-17T07:03:00.2565063Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-07-17T07:03:00.2565714Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-07-17T07:03:00.2566421Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-07-17T07:03:00.2566855Z fi 2025-07-17T07:03:00.2576368Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:03:00.2576742Z env: 2025-07-17T07:03:00.2576962Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:03:00.2577249Z REPO_NAME: pytorch 2025-07-17T07:03:00.2578161Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:00.2578980Z DOCKER_BUILD_DIR: .ci/docker 2025-07-17T07:03:00.2579275Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-07-17T07:03:00.2579782Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-07-17T07:03:00.2580184Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-07-17T07:03:00.2580485Z CUSTOM_TAG_PREFIX: 2025-07-17T07:03:00.2580733Z ##[endgroup] 2025-07-17T07:03:00.2607589Z + [[ -d .ci/docker ]] 2025-07-17T07:03:00.2607885Z + [[ -f .ci/docker/./build.sh ]] 2025-07-17T07:03:00.2608171Z + [[ true == \t\r\u\e ]] 2025-07-17T07:03:00.2608436Z + echo skip=false 2025-07-17T07:03:00.2609734Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-07-17T07:03:00.2615181Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:00.2616068Z ++ awk -F '[:,]' '{print $2}' 2025-07-17T07:03:00.2639348Z + DOCKER_TAG=pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:00.2640155Z + echo docker-tag=pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:00.2641707Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:00.2683051Z ##[group]Run set +e 2025-07-17T07:03:00.2683568Z set +e 2025-07-17T07:03:00.2683978Z set -x 2025-07-17T07:03:00.2684379Z  2025-07-17T07:03:00.2684744Z login() { 2025-07-17T07:03:00.2685627Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-07-17T07:03:00.2686805Z } 2025-07-17T07:03:00.2687170Z  2025-07-17T07:03:00.2687556Z retry () { 2025-07-17T07:03:00.2688043Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-07-17T07:03:00.2688607Z } 2025-07-17T07:03:00.2688980Z  2025-07-17T07:03:00.2689394Z retry login "${DOCKER_REGISTRY}" 2025-07-17T07:03:00.2689961Z  2025-07-17T07:03:00.2690338Z START_TIME=$(date +%s) 2025-07-17T07:03:00.2690874Z # Wait up to 120 minutes 2025-07-17T07:03:00.2691547Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-07-17T07:03:00.2692463Z  # Check if image already exists, if it does then skip building it 2025-07-17T07:03:00.2693403Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-07-17T07:03:00.2694103Z  exit 0 2025-07-17T07:03:00.2694510Z  fi 2025-07-17T07:03:00.2694898Z  2025-07-17T07:03:00.2695606Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-07-17T07:03:00.2696898Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-07-17T07:03:00.2698174Z  # latter, it will wait for the Docker images to become available before continuing 2025-07-17T07:03:00.2699116Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-07-17T07:03:00.2699882Z  # It's a Docker build job, let's build the image 2025-07-17T07:03:00.2700378Z  break 2025-07-17T07:03:00.2700684Z  else 2025-07-17T07:03:00.2701169Z  # It's a regular build job, wait for the image to become available 2025-07-17T07:03:00.2701748Z  sleep 300 2025-07-17T07:03:00.2701990Z  fi 2025-07-17T07:03:00.2702212Z done 2025-07-17T07:03:00.2702430Z  2025-07-17T07:03:00.2702775Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-07-17T07:03:00.2703374Z # be empty. The default action would be to continue rebuild the image 2025-07-17T07:03:00.2704073Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-07-17T07:03:00.2704541Z  # if we're on the base branch then use the parent commit 2025-07-17T07:03:00.2704939Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-07-17T07:03:00.2705261Z else 2025-07-17T07:03:00.2705597Z  # otherwise we're on a PR, so use the most recent base commit 2025-07-17T07:03:00.2706094Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-07-17T07:03:00.2706467Z fi 2025-07-17T07:03:00.2706687Z  2025-07-17T07:03:00.2706912Z if [[ -z "${MERGE_BASE}" ]]; then 2025-07-17T07:03:00.2707280Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-07-17T07:03:00.2707618Z  2025-07-17T07:03:00.2708095Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-07-17T07:03:00.2708664Z  exit 0 2025-07-17T07:03:00.2708897Z fi 2025-07-17T07:03:00.2709116Z  2025-07-17T07:03:00.2709417Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-07-17T07:03:00.2710127Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-07-17T07:03:00.2710738Z  exit 1 2025-07-17T07:03:00.2710976Z fi 2025-07-17T07:03:00.2711179Z  2025-07-17T07:03:00.2711549Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-07-17T07:03:00.2712228Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-07-17T07:03:00.2712825Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-07-17T07:03:00.2713525Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-07-17T07:03:00.2714392Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-07-17T07:03:00.2714863Z fi 2025-07-17T07:03:00.2715065Z  2025-07-17T07:03:00.2715331Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-07-17T07:03:00.2721900Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:03:00.2722294Z env: 2025-07-17T07:03:00.2722513Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:03:00.2722784Z DOCKER_BUILD_DIR: .ci/docker 2025-07-17T07:03:00.2723136Z BASE_REVISION: a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:03:00.2724007Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:00.2725038Z DOCKER_TAG: pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:00.2725666Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-07-17T07:03:00.2726062Z DOCKER_PUSH: 2025-07-17T07:03:00.2726297Z ##[endgroup] 2025-07-17T07:03:00.2751149Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-07-17T07:03:00.2751836Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-07-17T07:03:00.2754134Z + aws ecr get-login-password --region us-east-1 2025-07-17T07:03:00.2755477Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-07-17T07:03:00.8318259Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-07-17T07:03:00.8318905Z Configure a credential helper to remove this warning. See 2025-07-17T07:03:00.8319721Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-07-17T07:03:00.8320146Z 2025-07-17T07:03:00.8320262Z Login Succeeded 2025-07-17T07:03:00.8334893Z ++ date +%s 2025-07-17T07:03:00.8346619Z + START_TIME=1752735780 2025-07-17T07:03:00.8349971Z ++ date +%s 2025-07-17T07:03:00.8359386Z + [[ 1752728580 -lt 1752735780 ]] 2025-07-17T07:03:00.8360505Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:01.0454101Z { 2025-07-17T07:03:01.0454624Z "schemaVersion": 2, 2025-07-17T07:03:01.0471511Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-07-17T07:03:01.0472367Z "config": { 2025-07-17T07:03:01.0472858Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-07-17T07:03:01.0473421Z "size": 29789, 2025-07-17T07:03:01.0474013Z "digest": 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"sha256:72f42db112acff3fe786e412852e40172547e2f0805d8bb3165250351607bcc6" 2025-07-17T07:03:01.0560768Z }, 2025-07-17T07:03:01.0560961Z { 2025-07-17T07:03:01.0561278Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0561700Z "size": 134, 2025-07-17T07:03:01.0562104Z "digest": "sha256:7c952e9bce00315c28853ab1776128c841cf6569a57847f459cba91f5a8acc8e" 2025-07-17T07:03:01.0562564Z }, 2025-07-17T07:03:01.0562760Z { 2025-07-17T07:03:01.0563092Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0563505Z "size": 32, 2025-07-17T07:03:01.0563919Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-07-17T07:03:01.0564404Z }, 2025-07-17T07:03:01.0564581Z { 2025-07-17T07:03:01.0564975Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0565398Z "size": 195, 2025-07-17T07:03:01.0565800Z "digest": "sha256:3b1502de0f3b198fb39afb20836194ba99700dc67ce7ad4c243e568453198d25" 2025-07-17T07:03:01.0566280Z }, 2025-07-17T07:03:01.0566474Z { 2025-07-17T07:03:01.0566801Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0567210Z "size": 116, 2025-07-17T07:03:01.0567613Z "digest": "sha256:173b45b41ce0878e815890c196d343fc210775ebe229cedf931b07f2bc460e27" 2025-07-17T07:03:01.0568083Z }, 2025-07-17T07:03:01.0568260Z { 2025-07-17T07:03:01.0568584Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0568998Z "size": 32, 2025-07-17T07:03:01.0569397Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-07-17T07:03:01.0570088Z }, 2025-07-17T07:03:01.0570283Z { 2025-07-17T07:03:01.0570598Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0571021Z "size": 128, 2025-07-17T07:03:01.0571425Z "digest": "sha256:50399975739a3670b93a14d30c63319a2d88a9f69f88c53da9233122cd897cfc" 2025-07-17T07:03:01.0571895Z }, 2025-07-17T07:03:01.0572073Z { 2025-07-17T07:03:01.0572397Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0572821Z "size": 777, 2025-07-17T07:03:01.0573237Z "digest": "sha256:34b7cc5cf1d9abe64f6305deb3656733eaf90f26eaa3f85cfbb2c9dd7e043e3d" 2025-07-17T07:03:01.0573725Z }, 2025-07-17T07:03:01.0573913Z { 2025-07-17T07:03:01.0574230Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0574654Z "size": 724, 2025-07-17T07:03:01.0575055Z "digest": "sha256:c3fd79404829cd24625740ba8c0595c401878e558aa17f440e34f121dd6facdf" 2025-07-17T07:03:01.0575512Z }, 2025-07-17T07:03:01.0575702Z { 2025-07-17T07:03:01.0576030Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0576446Z "size": 141, 2025-07-17T07:03:01.0576878Z "digest": "sha256:dffea587205ddaa02cc6d95ddd5de1d6dbf175b6a2dbc7dbe952b096fe96ba62" 2025-07-17T07:03:01.0577374Z }, 2025-07-17T07:03:01.0577672Z { 2025-07-17T07:03:01.0577982Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0578388Z "size": 32, 2025-07-17T07:03:01.0578804Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-07-17T07:03:01.0579278Z }, 2025-07-17T07:03:01.0579475Z { 2025-07-17T07:03:01.0579899Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0580312Z "size": 160, 2025-07-17T07:03:01.0580738Z "digest": "sha256:8d04c6fef71e3cf9be0786633cdb12ad20e580a221f50d7fa1fa5d30f3687514" 2025-07-17T07:03:01.0581226Z }, 2025-07-17T07:03:01.0581411Z { 2025-07-17T07:03:01.0581742Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0582168Z "size": 1012, 2025-07-17T07:03:01.0582586Z "digest": "sha256:56cdce5d93425b58fcc507ea1c93c64ca9a646f16afacc7d86ed7a3b54c06a2b" 2025-07-17T07:03:01.0583072Z }, 2025-07-17T07:03:01.0583267Z { 2025-07-17T07:03:01.0583602Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0584014Z "size": 724, 2025-07-17T07:03:01.0584419Z "digest": "sha256:c3fd79404829cd24625740ba8c0595c401878e558aa17f440e34f121dd6facdf" 2025-07-17T07:03:01.0584890Z }, 2025-07-17T07:03:01.0585073Z { 2025-07-17T07:03:01.0585401Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0585825Z "size": 134, 2025-07-17T07:03:01.0586221Z "digest": "sha256:060e0a2319133e77ebf1b7b23c81602e9b9d2c25f7f9ee43fde89b7a6a645d7a" 2025-07-17T07:03:01.0586704Z }, 2025-07-17T07:03:01.0586898Z { 2025-07-17T07:03:01.0587215Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0587635Z "size": 32, 2025-07-17T07:03:01.0588049Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-07-17T07:03:01.0588650Z }, 2025-07-17T07:03:01.0588829Z { 2025-07-17T07:03:01.0589168Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0589587Z "size": 159, 2025-07-17T07:03:01.0590003Z "digest": "sha256:3c6a2d65b5bbb8f68cf3618a693f7fb4accbe30e3aa5786873365b3eed8b8b1b" 2025-07-17T07:03:01.0590491Z }, 2025-07-17T07:03:01.0590683Z { 2025-07-17T07:03:01.0591002Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0591422Z "size": 1370, 2025-07-17T07:03:01.0591825Z "digest": "sha256:a7015d1f229ed3837db36de6f01b45e34074b67f082934d1609845314e238350" 2025-07-17T07:03:01.0592280Z }, 2025-07-17T07:03:01.0592474Z { 2025-07-17T07:03:01.0592799Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0593204Z "size": 32, 2025-07-17T07:03:01.0593617Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-07-17T07:03:01.0594104Z }, 2025-07-17T07:03:01.0594298Z { 2025-07-17T07:03:01.0594618Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0595046Z "size": 136, 2025-07-17T07:03:01.0595462Z "digest": "sha256:0ddb9567cfa96bb304d84caed95336e9802f53dc71b7b2255a1d8f6612fc6455" 2025-07-17T07:03:01.0595931Z }, 2025-07-17T07:03:01.0596123Z { 2025-07-17T07:03:01.0596453Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0596858Z "size": 380, 2025-07-17T07:03:01.0597272Z "digest": "sha256:08123ea660cb56e40bf8cfe8ddc3856fc67ee90548bba0b2f37f7b56a36785b5" 2025-07-17T07:03:01.0597754Z }, 2025-07-17T07:03:01.0597934Z { 2025-07-17T07:03:01.0598261Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0598680Z "size": 32, 2025-07-17T07:03:01.0599078Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-07-17T07:03:01.0599556Z }, 2025-07-17T07:03:01.0599753Z { 2025-07-17T07:03:01.0600082Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0600490Z "size": 104, 2025-07-17T07:03:01.0600960Z "digest": "sha256:06f07ca145d9a61b91372346682b9c0d458fe83ef704153799346502349aafe6" 2025-07-17T07:03:01.0601434Z }, 2025-07-17T07:03:01.0601617Z { 2025-07-17T07:03:01.0601946Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0602364Z "size": 407, 2025-07-17T07:03:01.0602778Z "digest": "sha256:a151adebebbf7bcaa2e64b35305f5def7cde3f60b683da7b9150e0794d72b355" 2025-07-17T07:03:01.0603269Z }, 2025-07-17T07:03:01.0603460Z { 2025-07-17T07:03:01.0603776Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0604193Z "size": 32, 2025-07-17T07:03:01.0604603Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-07-17T07:03:01.0605084Z }, 2025-07-17T07:03:01.0605260Z { 2025-07-17T07:03:01.0605590Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0606009Z "size": 109, 2025-07-17T07:03:01.0606407Z "digest": "sha256:a567163437c52a32d717b879e4e67e0d26700afb8fb1dcc6adf07cce1f378541" 2025-07-17T07:03:01.0606886Z }, 2025-07-17T07:03:01.0607080Z { 2025-07-17T07:03:01.0607397Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0607815Z "size": 1897, 2025-07-17T07:03:01.0608224Z "digest": "sha256:f70d840f762475b3bdb839fa2820789f2283b17049693adfd5bd8a28111a1636" 2025-07-17T07:03:01.0608685Z }, 2025-07-17T07:03:01.0608876Z { 2025-07-17T07:03:01.0609200Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0609609Z "size": 241722875, 2025-07-17T07:03:01.0610047Z "digest": "sha256:d7369ebc3a9abb1dfd0315f8d8b2acfe67465121ec4d4ca53a3912de4666d7b4" 2025-07-17T07:03:01.0610531Z }, 2025-07-17T07:03:01.0610720Z { 2025-07-17T07:03:01.0611034Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0611518Z "size": 106, 2025-07-17T07:03:01.0611934Z "digest": "sha256:4184c6a7fd64e170b5f6feff80108032071e259411230ad9b6285c51c16b3b1c" 2025-07-17T07:03:01.0612396Z }, 2025-07-17T07:03:01.0612594Z { 2025-07-17T07:03:01.0612928Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0613333Z "size": 165, 2025-07-17T07:03:01.0613738Z "digest": "sha256:22ddb070c1113f484657d52b520abe86a237739eb1e504061ac0919605df0563" 2025-07-17T07:03:01.0614208Z }, 2025-07-17T07:03:01.0614390Z { 2025-07-17T07:03:01.0614717Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0615136Z "size": 7944, 2025-07-17T07:03:01.0615549Z "digest": "sha256:e4b9b40818eba0d7a5c5dbbc6bf60a852ba56250ac95c5bd47336b812004f2d6" 2025-07-17T07:03:01.0616047Z }, 2025-07-17T07:03:01.0616227Z { 2025-07-17T07:03:01.0616557Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0616987Z "size": 8069, 2025-07-17T07:03:01.0617402Z "digest": "sha256:403c8a0d600099f8231b52cb057d5b98607787dda95ccbca1b9228642002e7e5" 2025-07-17T07:03:01.0617868Z }, 2025-07-17T07:03:01.0618064Z { 2025-07-17T07:03:01.0618396Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0618811Z "size": 303, 2025-07-17T07:03:01.0619229Z "digest": "sha256:6ce29e0f73ef2e1778e2252d8da8392c2bd06903f31860fbf08d26a8ca17c76e" 2025-07-17T07:03:01.0619833Z }, 2025-07-17T07:03:01.0620018Z { 2025-07-17T07:03:01.0620354Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0620779Z "size": 32, 2025-07-17T07:03:01.0621183Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-07-17T07:03:01.0621670Z }, 2025-07-17T07:03:01.0621870Z { 2025-07-17T07:03:01.0622188Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0622611Z "size": 108, 2025-07-17T07:03:01.0623032Z "digest": "sha256:8341c69d63c87382777fa1e7dfc5f846cc3428ee64adae6d44a82d1bed0efc49" 2025-07-17T07:03:01.0623513Z }, 2025-07-17T07:03:01.0623693Z { 2025-07-17T07:03:01.0624109Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0624534Z "size": 54145699, 2025-07-17T07:03:01.0624943Z "digest": "sha256:9fb68e35f66fa77f535422964bc64a23cbd493353936c0fc95a895e200cdfbfb" 2025-07-17T07:03:01.0625418Z }, 2025-07-17T07:03:01.0625607Z { 2025-07-17T07:03:01.0625921Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-07-17T07:03:01.0626340Z "size": 32, 2025-07-17T07:03:01.0626753Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-07-17T07:03:01.0627222Z } 2025-07-17T07:03:01.0627414Z ] 2025-07-17T07:03:01.0627603Z } 2025-07-17T07:03:01.0674995Z ##[group]Run set -eux 2025-07-17T07:03:01.0675405Z set -eux 2025-07-17T07:03:01.0676359Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin 2025-07-17T07:03:01.0685044Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:03:01.0685416Z env: 2025-07-17T07:03:01.0685643Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:03:01.0685914Z ##[endgroup] 2025-07-17T07:03:01.0718253Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-07-17T07:03:01.0719143Z + jq --raw-output .SecretString 2025-07-17T07:03:01.0720088Z + jq -r .docker_hub_readonly_token 2025-07-17T07:03:01.0721145Z + docker login --username pytorchbot --password-stdin 2025-07-17T07:03:01.6691987Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-07-17T07:03:01.6692690Z Configure a credential helper to remove this warning. See 2025-07-17T07:03:01.6693471Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-07-17T07:03:01.6694564Z 2025-07-17T07:03:01.6694670Z Login Succeeded 2025-07-17T07:03:01.6783410Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-07-17T07:03:01.6783799Z tag=${ECR_DOCKER_IMAGE##*:} 2025-07-17T07:03:01.6784194Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-07-17T07:03:01.6790123Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:03:01.6790516Z env: 2025-07-17T07:03:01.6790727Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:03:01.6791514Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:01.6792321Z ##[endgroup] 2025-07-17T07:03:01.6818743Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:01.6895521Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-07-17T07:03:01.6895985Z with: 2025-07-17T07:03:01.6896716Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:01.6897639Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-07-17T07:03:01.6898035Z env: 2025-07-17T07:03:01.6898256Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:03:01.6898506Z ##[endgroup] 2025-07-17T07:03:01.6921870Z ##[group]Run set -x 2025-07-17T07:03:01.6922149Z set -x 2025-07-17T07:03:01.6922388Z set +e 2025-07-17T07:03:01.6922614Z  2025-07-17T07:03:01.6922815Z login() { 2025-07-17T07:03:01.6923301Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-07-17T07:03:01.6923833Z } 2025-07-17T07:03:01.6924030Z  2025-07-17T07:03:01.6924310Z retry () { 2025-07-17T07:03:01.6924578Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-07-17T07:03:01.6924903Z } 2025-07-17T07:03:01.6925129Z  2025-07-17T07:03:01.6925371Z retry login "${DOCKER_REGISTRY}" 2025-07-17T07:03:01.6925675Z  2025-07-17T07:03:01.6926176Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-07-17T07:03:01.6926859Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-07-17T07:03:01.6927253Z  2025-07-17T07:03:01.6927454Z set -e 2025-07-17T07:03:01.6927808Z # ignore output since only exit code is used for conditional 2025-07-17T07:03:01.6928315Z # only pull docker image if it's not available locally 2025-07-17T07:03:01.6928863Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-07-17T07:03:01.6929391Z  retry docker pull "${DOCKER_IMAGE}" 2025-07-17T07:03:01.6929723Z fi 2025-07-17T07:03:01.6935318Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:03:01.6935708Z env: 2025-07-17T07:03:01.6935946Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:03:01.6936730Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:01.6937621Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-07-17T07:03:01.6938024Z ##[endgroup] 2025-07-17T07:03:01.6961460Z + set +e 2025-07-17T07:03:01.6961802Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-07-17T07:03:01.6962317Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-07-17T07:03:01.6965023Z + aws ecr get-login-password --region us-east-1 2025-07-17T07:03:01.6966136Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-07-17T07:03:02.2214838Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-07-17T07:03:02.2215464Z Configure a credential helper to remove this warning. See 2025-07-17T07:03:02.2216103Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-07-17T07:03:02.2216848Z 2025-07-17T07:03:02.2216951Z Login Succeeded 2025-07-17T07:03:02.2235442Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:02.2236396Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-07-17T07:03:02.4245041Z + IMAGE_SIZE=4469.723728179932 2025-07-17T07:03:02.4245534Z Compressed size of image in MB: 4469.723728179932 2025-07-17T07:03:02.4245971Z + echo 'Compressed size of image in MB: 4469.723728179932' 2025-07-17T07:03:02.4246341Z + set -e 2025-07-17T07:03:02.4247474Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:02.4382575Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:02.4383969Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:03:02.7175166Z pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d: Pulling from pytorch/ci-image 2025-07-17T07:03:02.7176301Z 66587c81b81a: Pulling fs layer 2025-07-17T07:03:02.7176864Z 7a5c9899d937: Pulling fs layer 2025-07-17T07:03:02.7177326Z 9d8fe31f4371: Pulling fs layer 2025-07-17T07:03:02.7177781Z 4ea72d4d995b: Pulling fs layer 2025-07-17T07:03:02.7178258Z 0b21d3c7919b: Pulling fs layer 2025-07-17T07:03:02.7178710Z ff0141e78db7: Pulling fs layer 2025-07-17T07:03:02.7179093Z a8aa8a9fa61b: Pulling fs layer 2025-07-17T07:03:02.7179377Z a1030ae92635: Pulling fs layer 2025-07-17T07:03:02.7179771Z 1bd9396864e4: Pulling fs layer 2025-07-17T07:03:02.7180055Z e80da71796c5: Pulling fs layer 2025-07-17T07:03:02.7180339Z 0b21d3c7919b: Waiting 2025-07-17T07:03:02.7180590Z a8aa8a9fa61b: Waiting 2025-07-17T07:03:02.7180832Z a1030ae92635: Waiting 2025-07-17T07:03:02.7181083Z c0c195959436: Pulling fs layer 2025-07-17T07:03:02.7181355Z c3fd79404829: Pulling fs layer 2025-07-17T07:03:02.7181628Z 1bd9396864e4: Waiting 2025-07-17T07:03:02.7181881Z 6f5ba5923d9e: Pulling fs layer 2025-07-17T07:03:02.7182172Z cc5ad5bb5c8f: Pulling fs layer 2025-07-17T07:03:02.7182442Z ff0141e78db7: Waiting 2025-07-17T07:03:02.7182696Z 4f4fb700ef54: Pulling fs layer 2025-07-17T07:03:02.7182980Z 287d90495ed7: Pulling fs layer 2025-07-17T07:03:02.7183256Z e1da75f4dceb: Pulling fs layer 2025-07-17T07:03:02.7183550Z dbbbaf55f1bc: Pulling fs layer 2025-07-17T07:03:02.7183840Z b5993da49da4: Pulling fs layer 2025-07-17T07:03:02.7184118Z 13afcd2a66bb: Pulling fs layer 2025-07-17T07:03:02.7184405Z 58af60b83765: Pulling fs layer 2025-07-17T07:03:02.7188128Z 696aad357da7: Pulling fs layer 2025-07-17T07:03:02.7202165Z 4ea72d4d995b: Waiting 2025-07-17T07:03:02.7202595Z e5249a336770: Pulling fs layer 2025-07-17T07:03:02.7203277Z 8d76da75d1af: Pulling fs layer 2025-07-17T07:03:02.7203632Z 95145717af0c: Pulling fs layer 2025-07-17T07:03:02.7203914Z f66e02cad216: Pulling fs layer 2025-07-17T07:03:02.7204281Z 23bfc6bfeaf4: Pulling fs layer 2025-07-17T07:03:02.7204577Z 714df0485f2f: Pulling fs layer 2025-07-17T07:03:02.7204947Z 4fe817dc2597: Pulling fs layer 2025-07-17T07:03:02.7205315Z 8b772aad6dc1: Pulling fs layer 2025-07-17T07:03:02.7205644Z 5eec907873a0: Pulling fs layer 2025-07-17T07:03:02.7205935Z f5b31abb16c4: Pulling fs layer 2025-07-17T07:03:02.7206208Z da73c7805e85: Pulling fs layer 2025-07-17T07:03:02.7206534Z a9fc0454e936: Pulling fs layer 2025-07-17T07:03:02.7206828Z fdda510353fb: Pulling fs layer 2025-07-17T07:03:02.7207106Z 72f42db112ac: Pulling fs layer 2025-07-17T07:03:02.7207397Z 7c952e9bce00: Pulling fs layer 2025-07-17T07:03:02.7207699Z 3b1502de0f3b: Pulling fs layer 2025-07-17T07:03:02.7207970Z 173b45b41ce0: Pulling fs layer 2025-07-17T07:03:02.7208253Z 50399975739a: Pulling fs layer 2025-07-17T07:03:02.7208757Z 34b7cc5cf1d9: Pulling fs layer 2025-07-17T07:03:02.7209100Z dffea587205d: Pulling fs layer 2025-07-17T07:03:02.7209418Z 8d04c6fef71e: Pulling fs layer 2025-07-17T07:03:02.7209836Z 56cdce5d9342: Pulling fs layer 2025-07-17T07:03:02.7210268Z 060e0a231913: Pulling fs layer 2025-07-17T07:03:02.7210556Z 3c6a2d65b5bb: Pulling fs layer 2025-07-17T07:03:02.7210872Z a7015d1f229e: Pulling fs layer 2025-07-17T07:03:02.7211193Z 0ddb9567cfa9: Pulling fs layer 2025-07-17T07:03:02.7211513Z 08123ea660cb: Pulling fs layer 2025-07-17T07:03:02.7211800Z 06f07ca145d9: Pulling fs layer 2025-07-17T07:03:02.7212087Z a151adebebbf: Pulling fs layer 2025-07-17T07:03:02.7212357Z a567163437c5: Pulling fs layer 2025-07-17T07:03:02.7212674Z f70d840f7624: Pulling fs layer 2025-07-17T07:03:02.7212956Z d7369ebc3a9a: Pulling fs layer 2025-07-17T07:03:02.7213403Z 4184c6a7fd64: Pulling fs layer 2025-07-17T07:03:02.7213676Z 22ddb070c111: Pulling fs layer 2025-07-17T07:03:02.7213961Z e4b9b40818eb: Pulling fs layer 2025-07-17T07:03:02.7214253Z 403c8a0d6000: Pulling fs layer 2025-07-17T07:03:02.7214524Z 6ce29e0f73ef: Pulling fs layer 2025-07-17T07:03:02.7214808Z 8341c69d63c8: Pulling fs layer 2025-07-17T07:03:02.7215088Z 9fb68e35f66f: Pulling fs layer 2025-07-17T07:03:02.7215351Z 6f5ba5923d9e: Waiting 2025-07-17T07:03:02.7215593Z c0c195959436: Waiting 2025-07-17T07:03:02.7215838Z e1da75f4dceb: Waiting 2025-07-17T07:03:02.7216073Z cc5ad5bb5c8f: Waiting 2025-07-17T07:03:02.7216314Z c3fd79404829: Waiting 2025-07-17T07:03:02.7216610Z 13afcd2a66bb: Waiting 2025-07-17T07:03:02.7216853Z dbbbaf55f1bc: Waiting 2025-07-17T07:03:02.7217093Z 287d90495ed7: Waiting 2025-07-17T07:03:02.7217333Z e80da71796c5: Waiting 2025-07-17T07:03:02.7217562Z 4f4fb700ef54: Waiting 2025-07-17T07:03:02.7217800Z b5993da49da4: Waiting 2025-07-17T07:03:02.7218037Z 58af60b83765: Waiting 2025-07-17T07:03:02.7218272Z da73c7805e85: Waiting 2025-07-17T07:03:02.7218512Z a9fc0454e936: Waiting 2025-07-17T07:03:02.7218754Z fdda510353fb: Waiting 2025-07-17T07:03:02.7218997Z 56cdce5d9342: Waiting 2025-07-17T07:03:02.7219230Z 06f07ca145d9: Waiting 2025-07-17T07:03:02.7219465Z 060e0a231913: Waiting 2025-07-17T07:03:02.7219862Z 696aad357da7: Waiting 2025-07-17T07:03:02.7220095Z 3c6a2d65b5bb: Waiting 2025-07-17T07:03:02.7220395Z 72f42db112ac: Waiting 2025-07-17T07:03:02.7220641Z a7015d1f229e: Waiting 2025-07-17T07:03:02.7220870Z 7c952e9bce00: Waiting 2025-07-17T07:03:02.7221146Z e5249a336770: Waiting 2025-07-17T07:03:02.7221386Z 34b7cc5cf1d9: Waiting 2025-07-17T07:03:02.7221730Z 8d76da75d1af: Waiting 2025-07-17T07:03:02.7221974Z 95145717af0c: Waiting 2025-07-17T07:03:02.7222285Z 714df0485f2f: Waiting 2025-07-17T07:03:02.7222620Z 50399975739a: Waiting 2025-07-17T07:03:02.7222860Z 0ddb9567cfa9: Waiting 2025-07-17T07:03:02.7223138Z 4fe817dc2597: Waiting 2025-07-17T07:03:02.7223368Z 8b772aad6dc1: Waiting 2025-07-17T07:03:02.7223613Z 08123ea660cb: Waiting 2025-07-17T07:03:02.7223852Z 173b45b41ce0: Waiting 2025-07-17T07:03:02.7224080Z 3b1502de0f3b: Waiting 2025-07-17T07:03:02.7224325Z 23bfc6bfeaf4: Waiting 2025-07-17T07:03:02.7224581Z a151adebebbf: Waiting 2025-07-17T07:03:02.7224811Z 5eec907873a0: Waiting 2025-07-17T07:03:02.7225050Z f70d840f7624: Waiting 2025-07-17T07:03:02.7225289Z f5b31abb16c4: Waiting 2025-07-17T07:03:02.7225527Z 4184c6a7fd64: Waiting 2025-07-17T07:03:02.7225752Z 22ddb070c111: Waiting 2025-07-17T07:03:02.7225991Z e4b9b40818eb: Waiting 2025-07-17T07:03:02.7226228Z a567163437c5: Waiting 2025-07-17T07:03:02.7226450Z 8341c69d63c8: Waiting 2025-07-17T07:03:02.7226686Z 9fb68e35f66f: Waiting 2025-07-17T07:03:02.7226923Z 403c8a0d6000: Waiting 2025-07-17T07:03:02.7227147Z 6ce29e0f73ef: Waiting 2025-07-17T07:03:02.7227385Z f66e02cad216: Waiting 2025-07-17T07:03:02.7227625Z dffea587205d: Waiting 2025-07-17T07:03:02.7897536Z 7a5c9899d937: Verifying Checksum 2025-07-17T07:03:02.7897906Z 7a5c9899d937: Download complete 2025-07-17T07:03:02.8688119Z 4ea72d4d995b: Download complete 2025-07-17T07:03:03.0823495Z 66587c81b81a: Verifying Checksum 2025-07-17T07:03:03.0823974Z 66587c81b81a: Download complete 2025-07-17T07:03:03.1742362Z ff0141e78db7: Download complete 2025-07-17T07:03:03.2539603Z a8aa8a9fa61b: Verifying Checksum 2025-07-17T07:03:03.2540171Z a8aa8a9fa61b: Download complete 2025-07-17T07:03:03.3362531Z a1030ae92635: Download complete 2025-07-17T07:03:03.4043554Z 1bd9396864e4: Download complete 2025-07-17T07:03:03.4777882Z e80da71796c5: Download complete 2025-07-17T07:03:03.5346096Z c0c195959436: Download complete 2025-07-17T07:03:03.5642633Z 0b21d3c7919b: Verifying Checksum 2025-07-17T07:03:03.5643244Z 0b21d3c7919b: Download complete 2025-07-17T07:03:03.6325494Z c3fd79404829: Download complete 2025-07-17T07:03:03.6626143Z 6f5ba5923d9e: Download complete 2025-07-17T07:03:03.6690372Z 4f4fb700ef54: Verifying Checksum 2025-07-17T07:03:03.6690935Z 4f4fb700ef54: Download complete 2025-07-17T07:03:03.7444372Z 287d90495ed7: Verifying Checksum 2025-07-17T07:03:03.7444790Z 287d90495ed7: Download complete 2025-07-17T07:03:03.8274520Z e1da75f4dceb: Verifying Checksum 2025-07-17T07:03:03.8275082Z e1da75f4dceb: Download complete 2025-07-17T07:03:03.8995236Z dbbbaf55f1bc: Verifying Checksum 2025-07-17T07:03:03.8995708Z dbbbaf55f1bc: Download complete 2025-07-17T07:03:04.0073670Z b5993da49da4: Verifying Checksum 2025-07-17T07:03:04.0074042Z b5993da49da4: Download complete 2025-07-17T07:03:04.0301233Z 66587c81b81a: Pull complete 2025-07-17T07:03:04.0522928Z 7a5c9899d937: Pull complete 2025-07-17T07:03:04.0692312Z 13afcd2a66bb: Verifying Checksum 2025-07-17T07:03:04.0692732Z 13afcd2a66bb: Download complete 2025-07-17T07:03:04.1464083Z 58af60b83765: Verifying Checksum 2025-07-17T07:03:04.1464513Z 58af60b83765: Download complete 2025-07-17T07:03:04.2195927Z 696aad357da7: Verifying Checksum 2025-07-17T07:03:04.2196298Z 696aad357da7: Download complete 2025-07-17T07:03:04.3017743Z e5249a336770: Verifying Checksum 2025-07-17T07:03:04.3018201Z e5249a336770: Download complete 2025-07-17T07:03:04.3689694Z 8d76da75d1af: Verifying Checksum 2025-07-17T07:03:04.3690318Z 8d76da75d1af: Download complete 2025-07-17T07:03:04.4986919Z 95145717af0c: Verifying Checksum 2025-07-17T07:03:04.4987455Z 95145717af0c: Download complete 2025-07-17T07:03:04.5798357Z f66e02cad216: Verifying Checksum 2025-07-17T07:03:04.5798975Z f66e02cad216: Download complete 2025-07-17T07:03:04.6494642Z 23bfc6bfeaf4: Download complete 2025-07-17T07:03:06.2094731Z 9d8fe31f4371: Verifying Checksum 2025-07-17T07:03:06.2095206Z 9d8fe31f4371: Download complete 2025-07-17T07:03:06.2834986Z 4fe817dc2597: Download complete 2025-07-17T07:03:06.3755027Z 8b772aad6dc1: Download complete 2025-07-17T07:03:06.4713174Z 5eec907873a0: Verifying Checksum 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2025-07-17T07:04:57.8319354Z Digest: sha256:298ca350eaba018a1adf58a70fad4c1b682d6f0738c0f0b4a6d27f040d02eb09 2025-07-17T07:04:57.8858019Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:04:57.9056801Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:04:57.9102725Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-07-17T07:04:57.9103731Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-07-17T07:04:57.9111934Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:04:57.9112335Z env: 2025-07-17T07:04:57.9112565Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:04:57.9112840Z ##[endgroup] 2025-07-17T07:04:57.9372856Z Prepare all required actions 2025-07-17T07:04:57.9481379Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-07-17T07:04:57.9481729Z with: 2025-07-17T07:04:57.9482570Z github-token: *** 2025-07-17T07:04:57.9482820Z env: 2025-07-17T07:04:57.9483049Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:04:57.9483306Z ##[endgroup] 2025-07-17T07:04:57.9535621Z ##[group]Run set -eux 2025-07-17T07:04:57.9535910Z set -eux 2025-07-17T07:04:57.9536365Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-07-17T07:04:57.9543174Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:04:57.9543585Z env: 2025-07-17T07:04:57.9543810Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:04:57.9544251Z GITHUB_TOKEN: *** 2025-07-17T07:04:57.9544485Z ##[endgroup] 2025-07-17T07:04:57.9570196Z + python3 .github/scripts/get_workflow_job_id.py 16337959907 i-0d326a62c28fd400c 2025-07-17T07:04:59.7963256Z Setting output job-id=46154839621 2025-07-17T07:04:59.7963927Z Setting output job-name=linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge) 2025-07-17T07:04:59.8082883Z ##[group]Run python3 -m pip install psutil==5.9.1 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-07-17T07:04:59.8083647Z python3 -m pip install psutil==5.9.1 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-07-17T07:04:59.8084642Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-07-17T07:04:59.8085520Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-07-17T07:04:59.8092350Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:04:59.8092743Z env: 2025-07-17T07:04:59.8092962Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:04:59.8093220Z JOB_ID: 46154839621 2025-07-17T07:04:59.8093612Z JOB_NAME: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge) 2025-07-17T07:04:59.8094080Z WORKFLOW_NAME: pull 2025-07-17T07:04:59.8094328Z WORKFLOW_RUN_ID: 16337959907 2025-07-17T07:04:59.8094668Z MONITOR_LOG_INTERVAL: 5 2025-07-17T07:04:59.8094940Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-07-17T07:04:59.8095236Z ##[endgroup] 2025-07-17T07:05:00.8076157Z Defaulting to user installation because normal site-packages is not writeable 2025-07-17T07:05:01.2580025Z Collecting psutil==5.9.1 2025-07-17T07:05:01.2738026Z Downloading psutil-5.9.1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) 2025-07-17T07:05:01.3748871Z Collecting dataclasses_json==0.6.7 2025-07-17T07:05:01.3781197Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-07-17T07:05:01.4636117Z Collecting nvidia-ml-py==11.525.84 2025-07-17T07:05:01.4668621Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-07-17T07:05:01.5470812Z Collecting typing-inspect<1,>=0.4.0 2025-07-17T07:05:01.5504192Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-07-17T07:05:01.7042721Z Collecting marshmallow<4.0.0,>=3.18.0 2025-07-17T07:05:01.7076006Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-07-17T07:05:01.8103597Z Collecting packaging>=17.0 2025-07-17T07:05:01.8137185Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-07-17T07:05:01.8853874Z Collecting mypy-extensions>=0.3.0 2025-07-17T07:05:01.8887316Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-07-17T07:05:01.9826599Z Collecting typing-extensions>=3.7.4 2025-07-17T07:05:01.9859034Z Downloading typing_extensions-4.14.1-py3-none-any.whl (43 kB) 2025-07-17T07:05:02.2301565Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-07-17T07:05:02.7594713Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.1 typing-extensions-4.14.1 typing-inspect-0.9.0 2025-07-17T07:05:02.9999469Z Prepare all required actions 2025-07-17T07:05:02.9999873Z Getting action download info 2025-07-17T07:05:03.1384333Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-07-17T07:05:03.8176626Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-07-17T07:05:04.1528944Z ##[group]Run ./.github/actions/download-build-artifacts 2025-07-17T07:05:04.1529335Z with: 2025-07-17T07:05:04.1529566Z name: linux-jammy-py3.13-clang12 2025-07-17T07:05:04.1529883Z s3-bucket: gha-artifacts 2025-07-17T07:05:04.1530150Z env: 2025-07-17T07:05:04.1530377Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:05:04.1530648Z ##[endgroup] 2025-07-17T07:05:04.1564134Z ##[group]Run seemethere/download-artifact-s3@v4 2025-07-17T07:05:04.1564490Z with: 2025-07-17T07:05:04.1564711Z name: linux-jammy-py3.13-clang12 2025-07-17T07:05:04.1565024Z s3-bucket: gha-artifacts 2025-07-17T07:05:04.1565348Z region: us-east-1 2025-07-17T07:05:04.1565580Z env: 2025-07-17T07:05:04.1565788Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:05:04.1566054Z ##[endgroup] 2025-07-17T07:05:04.6871839Z (node:42776) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-07-17T07:05:04.6872715Z 2025-07-17T07:05:04.6873048Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-07-17T07:05:04.6874001Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-07-17T07:05:04.6874992Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-07-17T07:05:05.8393862Z Found 1 objects with prefix pytorch/pytorch/16337959907/linux-jammy-py3.13-clang12/ 2025-07-17T07:05:05.8395553Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-07-17T07:05:13.4826073Z Finished download (1/1): 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GIT_DEFAULT_BRANCH: main 2025-07-17T07:05:21.7330946Z ##[endgroup] 2025-07-17T07:05:22.1892760Z (node:42797) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-07-17T07:05:22.1893291Z 2025-07-17T07:05:22.1893558Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-07-17T07:05:22.1894104Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-07-17T07:05:22.1894674Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-07-17T07:05:22.2838110Z Found 1 objects with prefix pytorch/pytorch/16337959907/td_results/ 2025-07-17T07:05:22.2838831Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-07-17T07:05:22.3780510Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-07-17T07:05:22.3785450Z Artifact download has finished successfully 2025-07-17T07:05:22.3980522Z ##[group]Run mkdir -p .additional_ci_files 2025-07-17T07:05:22.3980918Z mkdir -p .additional_ci_files 2025-07-17T07:05:22.3981361Z mv td_results.json .additional_ci_files/td_results.json || true 2025-07-17T07:05:22.3987384Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:05:22.3987769Z env: 2025-07-17T07:05:22.3988010Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:05:22.3988262Z ##[endgroup] 2025-07-17T07:05:22.4081223Z ##[group]Run .github/scripts/parse_ref.py 2025-07-17T07:05:22.4081608Z .github/scripts/parse_ref.py 2025-07-17T07:05:22.4088288Z shell: /usr/bin/bash -e {0} 2025-07-17T07:05:22.4088583Z env: 2025-07-17T07:05:22.4088810Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:05:22.4089215Z ##[endgroup] 2025-07-17T07:05:22.4307656Z Setting output branch=main 2025-07-17T07:05:22.4524174Z Prepare all required actions 2025-07-17T07:05:22.4524852Z Getting action download info 2025-07-17T07:05:22.5943671Z ##[group]Run ./.github/actions/filter-test-configs 2025-07-17T07:05:22.5944040Z with: 2025-07-17T07:05:22.5944454Z github-token: *** 2025-07-17T07:05:22.5947370Z test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]} 2025-07-17T07:05:22.5950435Z job-name: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge) 2025-07-17T07:05:22.5950888Z env: 2025-07-17T07:05:22.5951098Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:05:22.5951366Z ##[endgroup] 2025-07-17T07:05:22.5995143Z ##[group]Run nick-fields/retry@v3.0.0 2025-07-17T07:05:22.5995468Z with: 2025-07-17T07:05:22.5995667Z shell: bash 2025-07-17T07:05:22.5995897Z timeout_minutes: 10 2025-07-17T07:05:22.5996149Z max_attempts: 5 2025-07-17T07:05:22.5996380Z retry_wait_seconds: 30 2025-07-17T07:05:22.5997188Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.1 2025-07-17T07:05:22.5998066Z polling_interval_seconds: 1 2025-07-17T07:05:22.5998356Z warning_on_retry: true 2025-07-17T07:05:22.5998608Z continue_on_error: false 2025-07-17T07:05:22.5998867Z env: 2025-07-17T07:05:22.5999077Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:05:22.5999513Z GITHUB_TOKEN: *** 2025-07-17T07:05:22.5999733Z ##[endgroup] 2025-07-17T07:05:22.6994206Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.1 2025-07-17T07:05:22.9385169Z Defaulting to user installation because normal site-packages is not writeable 2025-07-17T07:05:23.0511543Z Collecting requests==2.27.1 2025-07-17T07:05:23.0668956Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-07-17T07:05:23.2254752Z Collecting pyyaml==6.0.1 2025-07-17T07:05:23.2289794Z Downloading PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (738 kB) 2025-07-17T07:05:23.2534792Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-07-17T07:05:23.2991541Z Collecting certifi>=2017.4.17 2025-07-17T07:05:23.3026573Z Downloading certifi-2025.7.14-py3-none-any.whl (162 kB) 2025-07-17T07:05:23.3102387Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-07-17T07:05:23.6358489Z Collecting charset-normalizer~=2.0.0 2025-07-17T07:05:23.6393387Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-07-17T07:05:23.7296281Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-07-17T07:05:23.8501111Z Successfully installed certifi-2025.7.14 charset-normalizer-2.0.12 pyyaml-6.0.1 requests-2.27.1 2025-07-17T07:05:24.6769328Z Command completed after 1 attempt(s). 2025-07-17T07:05:24.6818349Z ##[group]Run set -x 2025-07-17T07:05:24.6818624Z set -x 2025-07-17T07:05:24.6818855Z  2025-07-17T07:05:24.6819237Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-07-17T07:05:24.6820015Z # in runner workspace 2025-07-17T07:05:24.6820567Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-07-17T07:05:24.6826718Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:05:24.6827115Z env: 2025-07-17T07:05:24.6827346Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:05:24.6827605Z ##[endgroup] 2025-07-17T07:05:24.6853574Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-07-17T07:05:24.7033445Z Setting output branch=main 2025-07-17T07:05:24.7093082Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-07-17T07:05:24.7093515Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-07-17T07:05:24.7093847Z echo "Job name: ${JOB_NAME}" 2025-07-17T07:05:24.7094149Z  2025-07-17T07:05:24.7094534Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-07-17T07:05:24.7095027Z # in runner workspace 2025-07-17T07:05:24.7095481Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-07-17T07:05:24.7095973Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-07-17T07:05:24.7096315Z  --job-name "${JOB_NAME}" \ 2025-07-17T07:05:24.7099274Z  --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}" \ 2025-07-17T07:05:24.7102338Z  --selected-test-configs "" \ 2025-07-17T07:05:24.7102684Z  --pr-number "${PR_NUMBER}" \ 2025-07-17T07:05:24.7102993Z  --tag "${TAG}" \ 2025-07-17T07:05:24.7103296Z  --event-name "${EVENT_NAME}" \ 2025-07-17T07:05:24.7103629Z  --schedule "${SCHEDULE}" \ 2025-07-17T07:05:24.7103933Z  --branch "${HEAD_BRANCH}" 2025-07-17T07:05:24.7109503Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:05:24.7109886Z env: 2025-07-17T07:05:24.7110094Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:05:24.7110581Z GITHUB_TOKEN: *** 2025-07-17T07:05:24.7110968Z JOB_NAME: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge) 2025-07-17T07:05:24.7111422Z PR_NUMBER: 2025-07-17T07:05:24.7111625Z TAG: 2025-07-17T07:05:24.7127110Z EVENT_NAME: push 2025-07-17T07:05:24.7127377Z SCHEDULE: 2025-07-17T07:05:24.7127595Z HEAD_BRANCH: main 2025-07-17T07:05:24.7127830Z ##[endgroup] 2025-07-17T07:05:24.7151613Z Workflow: pull 2025-07-17T07:05:24.7152050Z Job name: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge) 2025-07-17T07:05:24.8803085Z Setting output keep-going=True 2025-07-17T07:05:24.8803808Z Setting output ci-verbose-test-logs=False 2025-07-17T07:05:24.8804511Z Setting output ci-test-showlocals=False 2025-07-17T07:05:24.8805199Z Setting output ci-no-test-timeout=False 2025-07-17T07:05:24.8805847Z Setting output ci-no-td=False 2025-07-17T07:05:24.8806443Z Setting output ci-td-distributed=False 2025-07-17T07:05:24.8807102Z Setting output is-unstable=False 2025-07-17T07:05:24.8807715Z Setting output reenabled-issues= 2025-07-17T07:05:24.8814319Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]} 2025-07-17T07:05:24.8820281Z Setting output is-test-matrix-empty=False 2025-07-17T07:05:24.8946924Z ##[group]Run echo "Filtered matrix:" 2025-07-17T07:05:24.8947293Z echo "Filtered matrix:" 2025-07-17T07:05:24.8950207Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 2, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 3, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 4, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "default", "shard": 5, "num_shards": 5, "runner": "linux.4xlarge"}, {"config": "crossref", "shard": 1, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "crossref", "shard": 2, "num_shards": 2, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 1, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 2, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "dynamo_wrapped", "shard": 3, "num_shards": 3, "runner": "linux.2xlarge"}, {"config": "einops", "shard": 1, "num_shards": 1, "runner": "linux.2xlarge"}]}" 2025-07-17T07:05:24.8953119Z  2025-07-17T07:05:24.8953330Z echo 2025-07-17T07:05:24.8953605Z echo "Is the current job unstable? False" 2025-07-17T07:05:24.8953957Z  2025-07-17T07:05:24.8954170Z echo 2025-07-17T07:05:24.8954422Z echo "Is keep-going label set? True" 2025-07-17T07:05:24.8954747Z  2025-07-17T07:05:24.8954954Z echo 2025-07-17T07:05:24.8955181Z echo "Reenabled issues? " 2025-07-17T07:05:24.8961091Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:05:24.8961487Z env: 2025-07-17T07:05:24.8961701Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:05:24.8961968Z ##[endgroup] 2025-07-17T07:05:24.8987160Z Filtered matrix: 2025-07-17T07:05:24.8991901Z {include: [{config: default, shard: 1, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 2, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 3, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 4, num_shards: 5, runner: linux.4xlarge}, {config: default, shard: 5, num_shards: 5, runner: linux.4xlarge}, {config: crossref, shard: 1, num_shards: 2, runner: linux.2xlarge}, {config: crossref, shard: 2, num_shards: 2, runner: linux.2xlarge}, {config: dynamo_wrapped, shard: 1, num_shards: 3, runner: linux.2xlarge}, {config: dynamo_wrapped, shard: 2, num_shards: 3, runner: linux.2xlarge}, {config: dynamo_wrapped, shard: 3, num_shards: 3, runner: linux.2xlarge}, {config: einops, shard: 1, num_shards: 1, runner: linux.2xlarge}]} 2025-07-17T07:05:24.8994764Z 2025-07-17T07:05:24.8994890Z Is the current job unstable? False 2025-07-17T07:05:24.8995100Z 2025-07-17T07:05:24.8995222Z Is keep-going label set? True 2025-07-17T07:05:24.8995409Z 2025-07-17T07:05:24.8995501Z Reenabled issues? 2025-07-17T07:05:24.9042699Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-07-17T07:05:24.9043226Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-07-17T07:05:24.9048652Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:05:24.9049041Z env: 2025-07-17T07:05:24.9049254Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:05:24.9049664Z JOB_TIMEOUT: 600 2025-07-17T07:05:24.9049905Z ##[endgroup] 2025-07-17T07:05:24.9104703Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-07-17T07:05:24.9105240Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-07-17T07:05:24.9105700Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-07-17T07:05:24.9110890Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T07:05:24.9111276Z env: 2025-07-17T07:05:24.9111500Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:05:24.9111758Z ##[endgroup] 2025-07-17T07:05:24.9213720Z ##[group]Run set -x 2025-07-17T07:05:24.9214069Z set -x 2025-07-17T07:05:24.9214283Z  2025-07-17T07:05:24.9214536Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-07-17T07:05:24.9214938Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-07-17T07:05:24.9215336Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-07-17T07:05:24.9215720Z  TEST_COMMAND=.ci/onnx/test.sh 2025-07-17T07:05:24.9216030Z else 2025-07-17T07:05:24.9216288Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-07-17T07:05:24.9216593Z fi 2025-07-17T07:05:24.9216806Z  2025-07-17T07:05:24.9217080Z # Leaving 1GB for the runner and other things 2025-07-17T07:05:24.9217662Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-07-17T07:05:24.9218652Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-07-17T07:05:24.9219487Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-07-17T07:05:24.9220033Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-07-17T07:05:24.9220469Z  2025-07-17T07:05:24.9220744Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-07-17T07:05:24.9221091Z  SHM_OPTS= 2025-07-17T07:05:24.9221352Z  JENKINS_USER= 2025-07-17T07:05:24.9221710Z  # ensure that docker container cleanly exits in 12 hours 2025-07-17T07:05:24.9222187Z  # if for some reason cleanup action doesn't stop container 2025-07-17T07:05:24.9222603Z  # when job is cancelled 2025-07-17T07:05:24.9222920Z  DOCKER_SHELL_CMD="sleep 12h" 2025-07-17T07:05:24.9223223Z else 2025-07-17T07:05:24.9223464Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-07-17T07:05:24.9223808Z  JENKINS_USER="--user jenkins" 2025-07-17T07:05:24.9224131Z  DOCKER_SHELL_CMD= 2025-07-17T07:05:24.9224384Z fi 2025-07-17T07:05:24.9224596Z  2025-07-17T07:05:24.9224968Z # detached container should get cleaned up by teardown_ec2_linux 2025-07-17T07:05:24.9225561Z # TODO: Stop building test binaries as part of the build phase 2025-07-17T07:05:24.9226195Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-07-17T07:05:24.9226790Z # shellcheck disable=SC2086,SC2090 2025-07-17T07:05:24.9227134Z container_name=$(docker run \ 2025-07-17T07:05:24.9227439Z  ${GPU_FLAG:-} \ 2025-07-17T07:05:24.9227748Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-07-17T07:05:24.9228103Z  -e BUILD_ENVIRONMENT \ 2025-07-17T07:05:24.9228393Z  -e PR_NUMBER \ 2025-07-17T07:05:24.9228678Z  -e GITHUB_ACTIONS \ 2025-07-17T07:05:24.9228973Z  -e GITHUB_REPOSITORY \ 2025-07-17T07:05:24.9229283Z  -e GITHUB_WORKFLOW \ 2025-07-17T07:05:24.9229567Z  -e GITHUB_JOB \ 2025-07-17T07:05:24.9229844Z  -e GITHUB_RUN_ID \ 2025-07-17T07:05:24.9230130Z  -e GITHUB_RUN_NUMBER \ 2025-07-17T07:05:24.9230424Z  -e GITHUB_RUN_ATTEMPT \ 2025-07-17T07:05:24.9230735Z  -e JOB_ID \ 2025-07-17T07:05:24.9230997Z  -e JOB_NAME \ 2025-07-17T07:05:24.9231411Z  -e BASE_SHA \ 2025-07-17T07:05:24.9231678Z  -e BRANCH \ 2025-07-17T07:05:24.9231937Z  -e SHA1 \ 2025-07-17T07:05:24.9232184Z  -e AWS_DEFAULT_REGION \ 2025-07-17T07:05:24.9232495Z  -e IN_WHEEL_TEST \ 2025-07-17T07:05:24.9232787Z  -e SHARD_NUMBER \ 2025-07-17T07:05:24.9233064Z  -e TEST_CONFIG \ 2025-07-17T07:05:24.9233357Z  -e NUM_TEST_SHARDS \ 2025-07-17T07:05:24.9233663Z  -e REENABLED_ISSUES \ 2025-07-17T07:05:24.9233966Z  -e CONTINUE_THROUGH_ERROR \ 2025-07-17T07:05:24.9234388Z  -e VERBOSE_TEST_LOGS \ 2025-07-17T07:05:24.9234698Z  -e TEST_SHOWLOCALS \ 2025-07-17T07:05:24.9235000Z  -e NO_TEST_TIMEOUT \ 2025-07-17T07:05:24.9235273Z  -e NO_TD \ 2025-07-17T07:05:24.9235534Z  -e TD_DISTRIBUTED \ 2025-07-17T07:05:24.9235827Z  -e PR_LABELS \ 2025-07-17T07:05:24.9236116Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-07-17T07:05:24.9236460Z  -e SCCACHE_BUCKET \ 2025-07-17T07:05:24.9236748Z  -e SCCACHE_REGION \ 2025-07-17T07:05:24.9237024Z  -e XLA_CUDA \ 2025-07-17T07:05:24.9237318Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-07-17T07:05:24.9237685Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-07-17T07:05:24.9238061Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-07-17T07:05:24.9238427Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-07-17T07:05:24.9238774Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-07-17T07:05:24.9239113Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-07-17T07:05:24.9239432Z  -e DASHBOARD_TAG \ 2025-07-17T07:05:24.9239724Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-07-17T07:05:24.9240091Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-07-17T07:05:24.9240517Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-07-17T07:05:24.9240929Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-07-17T07:05:24.9241342Z  --security-opt seccomp=unconfined \ 2025-07-17T07:05:24.9241701Z  --cap-add=SYS_PTRACE \ 2025-07-17T07:05:24.9241990Z  --ipc=host \ 2025-07-17T07:05:24.9242259Z  ${SHM_OPTS} \ 2025-07-17T07:05:24.9242517Z  --tty \ 2025-07-17T07:05:24.9242746Z  --detach \ 2025-07-17T07:05:24.9243017Z  --name="${container_name}" \ 2025-07-17T07:05:24.9243336Z  ${JENKINS_USER} \ 2025-07-17T07:05:24.9243691Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-07-17T07:05:24.9244091Z  -w /var/lib/jenkins/workspace \ 2025-07-17T07:05:24.9244421Z  "${DOCKER_IMAGE}" \ 2025-07-17T07:05:24.9244709Z  ${DOCKER_SHELL_CMD} 2025-07-17T07:05:24.9244966Z ) 2025-07-17T07:05:24.9245262Z # Propagate download.pytorch.org IP to container 2025-07-17T07:05:24.9245952Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-07-17T07:05:24.9246692Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-07-17T07:05:24.9247103Z  2025-07-17T07:05:24.9247377Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-07-17T07:05:24.9247975Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-07-17T07:05:24.9248500Z fi 2025-07-17T07:05:24.9248714Z  2025-07-17T07:05:24.9249221Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-07-17T07:05:24.9254591Z shell: /usr/bin/bash -e {0} 2025-07-17T07:05:24.9254859Z env: 2025-07-17T07:05:24.9255082Z GIT_DEFAULT_BRANCH: main 2025-07-17T07:05:24.9255402Z BUILD_ENVIRONMENT: linux-jammy-py3.13-clang12 2025-07-17T07:05:24.9255732Z PR_NUMBER: 2025-07-17T07:05:24.9255979Z GITHUB_REPOSITORY: pytorch/pytorch 2025-07-17T07:05:24.9256378Z GITHUB_WORKFLOW: pull 2025-07-17T07:05:24.9256620Z GITHUB_JOB: test 2025-07-17T07:05:24.9256859Z GITHUB_RUN_ID: 16337959907 2025-07-17T07:05:24.9257136Z GITHUB_RUN_NUMBER: 336806 2025-07-17T07:05:24.9257395Z GITHUB_RUN_ATTEMPT: 1 2025-07-17T07:05:24.9257648Z JOB_ID: 46154839621 2025-07-17T07:05:24.9258034Z JOB_NAME: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge) 2025-07-17T07:05:24.9258475Z BRANCH: main 2025-07-17T07:05:24.9258734Z SHA1: a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:05:24.9259113Z BASE_SHA: a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:05:24.9259646Z TEST_CONFIG: crossref 2025-07-17T07:05:24.9259887Z SHARD_NUMBER: 1 2025-07-17T07:05:24.9260121Z NUM_TEST_SHARDS: 2 2025-07-17T07:05:24.9260369Z REENABLED_ISSUES: 2025-07-17T07:05:24.9260614Z CONTINUE_THROUGH_ERROR: True 2025-07-17T07:05:24.9260901Z VERBOSE_TEST_LOGS: False 2025-07-17T07:05:24.9261172Z TEST_SHOWLOCALS: False 2025-07-17T07:05:24.9261425Z NO_TEST_TIMEOUT: False 2025-07-17T07:05:24.9261683Z NO_TD: False 2025-07-17T07:05:24.9261914Z TD_DISTRIBUTED: False 2025-07-17T07:05:24.9262222Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-07-17T07:05:24.9262599Z SCCACHE_REGION: us-east-1 2025-07-17T07:05:24.9262872Z SHM_SIZE: 1g 2025-07-17T07:05:24.9263604Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:05:24.9264392Z XLA_CUDA: 2025-07-17T07:05:24.9264756Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-07-17T07:05:24.9265228Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-07-17T07:05:24.9265542Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-07-17T07:05:24.9265850Z DASHBOARD_TAG: 2025-07-17T07:05:24.9266281Z HUGGING_FACE_HUB_TOKEN: *** 2025-07-17T07:05:24.9266701Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-07-17T07:05:24.9267107Z ARTIFACTS_FILE_SUFFIX: test-crossref-1-2-linux.2xlarge_46154839621 2025-07-17T07:05:24.9267538Z ##[endgroup] 2025-07-17T07:05:24.9289920Z + [[ crossref == \m\u\l\t\i\g\p\u ]] 2025-07-17T07:05:24.9290303Z + [[ linux-jammy-py3.13-clang12 == *onnx* ]] 2025-07-17T07:05:24.9290658Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-07-17T07:05:24.9293515Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-07-17T07:05:24.9377064Z + TOTAL_AVAILABLE_MEMORY_IN_GB='14.244 ' 2025-07-17T07:05:24.9377643Z + TOTAL_MEMORY_WITH_SWAP=17 2025-07-17T07:05:24.9378247Z + [[ linux-jammy-py3.13-clang12 == *\s\3\9\0\x* ]] 2025-07-17T07:05:24.9378647Z + SHM_OPTS=--shm-size=1g 2025-07-17T07:05:24.9378933Z + JENKINS_USER='--user jenkins' 2025-07-17T07:05:24.9379213Z + DOCKER_SHELL_CMD= 2025-07-17T07:05:24.9386381Z +++ nproc --ignore=2 2025-07-17T07:05:24.9410381Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=14g --memory-swap=17g --env-file=/tmp/github_env_16337959907 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 2025-07-17T07:05:33.8107871Z + container_name=e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T07:05:33.8113333Z + grep download.pytorch.org /etc/hosts 2025-07-17T07:05:33.8115254Z + docker exec -i e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb sudo bash -c '/bin/cat >> /etc/hosts' 2025-07-17T07:05:34.0003875Z + echo DOCKER_CONTAINER_ID=e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T07:05:34.0004615Z + [[ linux-jammy-py3.13-clang12 == *\s\3\9\0\x* ]] 2025-07-17T07:05:34.0007483Z ++ echo dist/torch-2.9.0a0+gita38f433-cp313-cp313-linux_x86_64.whl 2025-07-17T07:05:34.0010519Z + docker exec -t e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb sh -c 'python3 -m pip install dist/torch-2.9.0a0+gita38f433-cp313-cp313-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-07-17T07:05:34.6146180Z Processing ./dist/torch-2.9.0a0+gita38f433-cp313-cp313-linux_x86_64.whl (from torch==2.9.0a0+gita38f433) 2025-07-17T07:05:35.1520219Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+gita38f433->torch==2.9.0a0+gita38f433) (3.18.0) 2025-07-17T07:05:35.1524310Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+gita38f433->torch==2.9.0a0+gita38f433) (4.14.1) 2025-07-17T07:05:35.1531101Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+gita38f433->torch==2.9.0a0+gita38f433) (80.9.0) 2025-07-17T07:05:35.1535897Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+gita38f433->torch==2.9.0a0+gita38f433) (1.13.3) 2025-07-17T07:05:35.1540118Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+gita38f433->torch==2.9.0a0+gita38f433) (2.8.8) 2025-07-17T07:05:35.1544331Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+gita38f433->torch==2.9.0a0+gita38f433) (3.1.6) 2025-07-17T07:05:35.1548591Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+gita38f433->torch==2.9.0a0+gita38f433) (2025.5.1) 2025-07-17T07:05:35.1562967Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch==2.9.0a0+gita38f433->torch==2.9.0a0+gita38f433) (3.3.0) 2025-07-17T07:05:35.1573965Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from opt-einsum>=3.3->torch==2.9.0a0+gita38f433->torch==2.9.0a0+gita38f433) (2.1.2) 2025-07-17T07:05:35.1618737Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from sympy>=1.13.3->torch==2.9.0a0+gita38f433->torch==2.9.0a0+gita38f433) (1.3.0) 2025-07-17T07:05:35.1737143Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from jinja2->torch==2.9.0a0+gita38f433->torch==2.9.0a0+gita38f433) (3.0.2) 2025-07-17T07:05:35.3805226Z Installing collected packages: torch 2025-07-17T07:05:47.0301790Z Successfully installed torch-2.9.0a0+gita38f433 2025-07-17T07:05:47.1074204Z + export TERM=vt100 2025-07-17T07:05:47.1074608Z + TERM=vt100 2025-07-17T07:05:47.1076339Z ++ dirname .ci/pytorch/test.sh 2025-07-17T07:05:47.1094149Z + source .ci/pytorch/common.sh 2025-07-17T07:05:47.1102202Z +++ dirname .ci/pytorch/common.sh 2025-07-17T07:05:47.1108913Z ++ source .ci/pytorch/common_utils.sh 2025-07-17T07:05:47.1114500Z +++ declare -f -t trap_add 2025-07-17T07:05:47.1118284Z ++ set -ex -o pipefail 2025-07-17T07:05:47.1118685Z ++ [[ linux-jammy-py3.13-clang12 == *rocm* ]] 2025-07-17T07:05:47.1119108Z ++ BUILD_TEST_LIBTORCH=0 2025-07-17T07:05:47.1122323Z ++ dirname .ci/pytorch/test.sh 2025-07-17T07:05:47.1129406Z + source .ci/pytorch/common-build.sh 2025-07-17T07:05:47.1135405Z ++ [[ linux-jammy-py3.13-clang12 != *win-* ]] 2025-07-17T07:05:47.1141189Z ++++ dirname .ci/pytorch/common-build.sh 2025-07-17T07:05:47.1148990Z +++ cd .ci/pytorch 2025-07-17T07:05:47.1149407Z +++ pwd -P 2025-07-17T07:05:47.1152448Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-07-17T07:05:47.1153060Z ++ [[ linux-jammy-py3.13-clang12 == *-pch* ]] 2025-07-17T07:05:47.1153456Z ++ which sccache 2025-07-17T07:05:47.1174979Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-07-17T07:05:47.1175336Z ++ sccache --stop-server 2025-07-17T07:05:47.1227789Z ++ true 2025-07-17T07:05:47.1228114Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-07-17T07:05:47.1247129Z ++ trap_add sccache_epilogue EXIT 2025-07-17T07:05:47.1247441Z ++ trap_add_cmd=sccache_epilogue 2025-07-17T07:05:47.1247724Z ++ shift 2025-07-17T07:05:47.1247955Z ++ for trap_add_name in "$@" 2025-07-17T07:05:47.1254133Z ++++ trap -p EXIT 2025-07-17T07:05:47.1256642Z +++ eval 'extract_trap_cmd ' 2025-07-17T07:05:47.1256993Z ++++ extract_trap_cmd 2025-07-17T07:05:47.1257235Z ++++ printf '%s\n' '' 2025-07-17T07:05:47.1257519Z +++ printf '%s\n' sccache_epilogue 2025-07-17T07:05:47.1259139Z ++ trap -- ' 2025-07-17T07:05:47.1259565Z sccache_epilogue' EXIT 2025-07-17T07:05:47.1259954Z ++ [[ -n 1 ]] 2025-07-17T07:05:47.1260359Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-07-17T07:05:47.1261024Z Skipping sccache server initialization, setting environment variables 2025-07-17T07:05:47.1261498Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-07-17T07:05:47.1261849Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-07-17T07:05:47.1262219Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-07-17T07:05:47.1262699Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-07-17T07:05:47.1263106Z ++ export RUST_LOG=sccache::server=error 2025-07-17T07:05:47.1263444Z ++ RUST_LOG=sccache::server=error 2025-07-17T07:05:47.1263742Z ++ sccache --zero-stats 2025-07-17T07:05:47.2309764Z Statistics zeroed. 2025-07-17T07:05:47.2313445Z ++ which ccache 2025-07-17T07:05:47.2336104Z + [[ linux-jammy-py3.13-clang12 != *rocm* ]] 2025-07-17T07:05:47.2336553Z + [[ linux-jammy-py3.13-clang12 != *s390x* ]] 2025-07-17T07:05:47.2336975Z + [[ -d /var/lib/jenkins/workspace ]] 2025-07-17T07:05:47.2339510Z ++ stat -c %u /var/lib/jenkins/workspace 2025-07-17T07:05:47.2391805Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-07-17T07:05:47.2392187Z + trap_add cleanup_workspace EXIT 2025-07-17T07:05:47.2392497Z + trap_add_cmd=cleanup_workspace 2025-07-17T07:05:47.2392784Z + shift 2025-07-17T07:05:47.2393010Z + for trap_add_name in "$@" 2025-07-17T07:05:47.2398714Z +++ trap -p EXIT 2025-07-17T07:05:47.2401480Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-07-17T07:05:47.2402025Z sccache_epilogue'\'' EXIT' 2025-07-17T07:05:47.2402323Z +++ extract_trap_cmd trap -- ' 2025-07-17T07:05:47.2402606Z sccache_epilogue' EXIT 2025-07-17T07:05:47.2402870Z +++ printf '%s\n' ' 2025-07-17T07:05:47.2403111Z sccache_epilogue' 2025-07-17T07:05:47.2403355Z ++ printf '%s\n' cleanup_workspace 2025-07-17T07:05:47.2404596Z + trap -- ' 2025-07-17T07:05:47.2404834Z sccache_epilogue 2025-07-17T07:05:47.2405066Z cleanup_workspace' EXIT 2025-07-17T07:05:47.2405380Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-07-17T07:05:47.8913450Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-07-17T07:05:47.9087645Z + echo 'Environment variables:' 2025-07-17T07:05:47.9087997Z Environment variables: 2025-07-17T07:05:47.9088252Z + env 2025-07-17T07:05:47.9108269Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-07-17T07:05:47.9109024Z CONTINUE_THROUGH_ERROR=True 2025-07-17T07:05:47.9109448Z BUILD_ENVIRONMENT=linux-jammy-py3.13-clang12 2025-07-17T07:05:47.9109791Z HOSTNAME=e32f169f497f 2025-07-17T07:05:47.9110439Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_f5a06de1-c409-4a15-a75d-8f8783f240e9 2025-07-17T07:05:47.9111162Z GITHUB_ACTION=__run_2 2025-07-17T07:05:47.9111432Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-07-17T07:05:47.9111792Z GITHUB_RUN_NUMBER=336806 2025-07-17T07:05:47.9112294Z TEST_CONFIG=crossref 2025-07-17T07:05:47.9112627Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-07-17T07:05:47.9113000Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-07-17T07:05:47.9113469Z SCCACHE_IDLE_TIMEOUT=0 2025-07-17T07:05:47.9114121Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-07-17T07:05:47.9114462Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-07-17T07:05:47.9114863Z GITHUB_REF_TYPE=branch 2025-07-17T07:05:47.9115174Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-07-17T07:05:47.9115497Z BASE_SHA=a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:05:47.9115886Z XLA_CUDA= 2025-07-17T07:05:47.9116899Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-07-17T07:05:47.9117426Z HUGGING_FACE_HUB_TOKEN=*** 2025-07-17T07:05:47.9117908Z *** 2025-07-17T07:05:47.9118183Z GITHUB_REPOSITORY_ID=65600975 2025-07-17T07:05:47.9118475Z GITHUB_ACTIONS=true 2025-07-17T07:05:47.9118803Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-07-17T07:05:47.9119239Z SHA1=a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:05:47.9119689Z GITHUB_SHA=a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:05:47.9120211Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-07-17T07:05:47.9120744Z UCC_HOME=/usr 2025-07-17T07:05:47.9120976Z VERBOSE_TEST_LOGS=False 2025-07-17T07:05:47.9121302Z GITHUB_REF=refs/heads/main 2025-07-17T07:05:47.9121565Z SHARD_NUMBER=1 2025-07-17T07:05:47.9121793Z GITHUB_REF_PROTECTED=true 2025-07-17T07:05:47.9122122Z HOME=/var/lib/jenkins 2025-07-17T07:05:47.9122408Z GITHUB_API_URL=https://api.github.com 2025-07-17T07:05:47.9122783Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-07-17T07:05:47.9123102Z UCX_COMMIT= 2025-07-17T07:05:47.9123316Z USE_SYSTEM_NCCL=1 2025-07-17T07:05:47.9123601Z NUM_TEST_SHARDS=2 2025-07-17T07:05:47.9123836Z UCX_HOME=/usr 2025-07-17T07:05:47.9124522Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_f5a06de1-c409-4a15-a75d-8f8783f240e9 2025-07-17T07:05:47.9125379Z JOB_NAME=linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge) 2025-07-17T07:05:47.9126179Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_f5a06de1-c409-4a15-a75d-8f8783f240e9 2025-07-17T07:05:47.9127065Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-07-17T07:05:47.9127619Z GITHUB_EVENT_NAME=push 2025-07-17T07:05:47.9127909Z DASHBOARD_TAG= 2025-07-17T07:05:47.9128146Z GITHUB_RUN_ID=16337959907 2025-07-17T07:05:47.9128408Z INSTALLED_OPENBLAS= 2025-07-17T07:05:47.9129033Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_f5a06de1-c409-4a15-a75d-8f8783f240e9 2025-07-17T07:05:47.9129763Z GITHUB_ACTOR=pytorchmergebot 2025-07-17T07:05:47.9130079Z PR_NUMBER= 2025-07-17T07:05:47.9130278Z DESIRED_CUDA= 2025-07-17T07:05:47.9130505Z GITHUB_RUN_ATTEMPT=1 2025-07-17T07:05:47.9130765Z ANACONDA_PYTHON_VERSION=3.13 2025-07-17T07:05:47.9131100Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-07-17T07:05:47.9131466Z TERM=vt100 2025-07-17T07:05:47.9131689Z INSTALLED_VISION=yes 2025-07-17T07:05:47.9131918Z BRANCH=main 2025-07-17T07:05:47.9132148Z SCCACHE_REGION=us-east-1 2025-07-17T07:05:47.9132424Z OPENSSL_ROOT_DIR=/opt/openssl 2025-07-17T07:05:47.9132712Z CUDA_PATH=/usr/local/cuda 2025-07-17T07:05:47.9133230Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-07-17T07:05:47.9133900Z GITHUB_SERVER_URL=https://github.com 2025-07-17T07:05:47.9134204Z UCC_COMMIT= 2025-07-17T07:05:47.9134406Z REENABLED_ISSUES= 2025-07-17T07:05:47.9134632Z DOCS= 2025-07-17T07:05:47.9134827Z SHLVL=1 2025-07-17T07:05:47.9135020Z MAX_JOBS=6 2025-07-17T07:05:47.9135240Z GITHUB_ACTOR_ID=97764156 2025-07-17T07:05:47.9135587Z GITHUB_WORKFLOW_SHA=a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:05:47.9135962Z GITHUB_REF_NAME=main 2025-07-17T07:05:47.9136346Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-07-17T07:05:47.9136781Z GITHUB_JOB=test 2025-07-17T07:05:47.9137003Z NO_TEST_TIMEOUT=False 2025-07-17T07:05:47.9137385Z TD_DISTRIBUTED=False 2025-07-17T07:05:47.9137660Z GITHUB_REPOSITORY=pytorch/pytorch 2025-07-17T07:05:47.9137961Z GITHUB_RETENTION_DAYS=90 2025-07-17T07:05:47.9138239Z OPENSSL_DIR=/opt/openssl 2025-07-17T07:05:47.9138513Z GITHUB_ACTION_REPOSITORY= 2025-07-17T07:05:47.9139384Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-07-17T07:05:47.9140206Z GITHUB_BASE_REF= 2025-07-17T07:05:47.9140443Z INSTALLED_ACL= 2025-07-17T07:05:47.9140947Z ARTIFACTS_FILE_SUFFIX=test-crossref-1-2-linux.2xlarge_46154839621 2025-07-17T07:05:47.9141347Z CI=true 2025-07-17T07:05:47.9141580Z GITHUB_REPOSITORY_OWNER=pytorch 2025-07-17T07:05:47.9141923Z RUST_LOG=sccache::server=error 2025-07-17T07:05:47.9142186Z JOB_ID=46154839621 2025-07-17T07:05:47.9142418Z GITHUB_HEAD_REF= 2025-07-17T07:05:47.9142655Z GITHUB_ACTION_REF= 2025-07-17T07:05:47.9142938Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-07-17T07:05:47.9143305Z TEST_SHOWLOCALS=False 2025-07-17T07:05:47.9143565Z GITHUB_WORKFLOW=pull 2025-07-17T07:05:47.9143817Z DEBIAN_FRONTEND=noninteractive 2025-07-17T07:05:47.9144461Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_f5a06de1-c409-4a15-a75d-8f8783f240e9 2025-07-17T07:05:47.9145116Z NO_TD=False 2025-07-17T07:05:47.9145353Z SKIP_SCCACHE_INITIALIZATION=1 2025-07-17T07:05:47.9145653Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-07-17T07:05:47.9145969Z _=/usr/bin/env 2025-07-17T07:05:47.9146330Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-07-17T07:05:47.9309261Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch 2025-07-17T07:05:47.9310414Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-07-17T07:05:47.9311080Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib 2025-07-17T07:05:47.9311696Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/test 2025-07-17T07:05:47.9312184Z + BUILD_DIR=build 2025-07-17T07:05:47.9312435Z + BUILD_RENAMED_DIR=build_renamed 2025-07-17T07:05:47.9312742Z + BUILD_BIN_DIR=build/bin 2025-07-17T07:05:47.9313009Z + SHARD_NUMBER=1 2025-07-17T07:05:47.9313235Z + NUM_TEST_SHARDS=2 2025-07-17T07:05:47.9313503Z + export TORCH_SERIALIZATION_DEBUG=1 2025-07-17T07:05:47.9313915Z + TORCH_SERIALIZATION_DEBUG=1 2025-07-17T07:05:47.9314363Z + export VALGRIND=ON 2025-07-17T07:05:47.9314831Z + VALGRIND=ON 2025-07-17T07:05:47.9315144Z + [[ linux-jammy-py3.13-clang12 == *clang9* ]] 2025-07-17T07:05:47.9315522Z + [[ linux-jammy-py3.13-clang12 == *xpu* ]] 2025-07-17T07:05:47.9315863Z + [[ linux-jammy-py3.13-clang12 == *s390x* ]] 2025-07-17T07:05:47.9316182Z + [[ 0 == \1 ]] 2025-07-17T07:05:47.9316405Z + [[ True == \1 ]] 2025-07-17T07:05:47.9316658Z + [[ linux-jammy-py3.13-clang12 != *bazel* ]] 2025-07-17T07:05:47.9317008Z ++ realpath build/custom_test_artifacts 2025-07-17T07:05:47.9331682Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-07-17T07:05:47.9332228Z + [[ -n '' ]] 2025-07-17T07:05:47.9332471Z + echo 'Environment variables' 2025-07-17T07:05:47.9332760Z Environment variables 2025-07-17T07:05:47.9332989Z + env 2025-07-17T07:05:47.9339188Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-07-17T07:05:47.9339999Z CONTINUE_THROUGH_ERROR=True 2025-07-17T07:05:47.9340472Z BUILD_ENVIRONMENT=linux-jammy-py3.13-clang12 2025-07-17T07:05:47.9340989Z HOSTNAME=e32f169f497f 2025-07-17T07:05:47.9341620Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_f5a06de1-c409-4a15-a75d-8f8783f240e9 2025-07-17T07:05:47.9342363Z GITHUB_ACTION=__run_2 2025-07-17T07:05:47.9342715Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-07-17T07:05:47.9343055Z GITHUB_RUN_NUMBER=336806 2025-07-17T07:05:47.9343366Z TEST_CONFIG=crossref 2025-07-17T07:05:47.9343623Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-07-17T07:05:47.9344024Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-07-17T07:05:47.9344647Z SCCACHE_IDLE_TIMEOUT=0 2025-07-17T07:05:47.9345202Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-07-17T07:05:47.9345526Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-07-17T07:05:47.9345895Z GITHUB_REF_TYPE=branch 2025-07-17T07:05:47.9346158Z TORCH_CUDA_ARCH_LIST=Maxwell 2025-07-17T07:05:47.9346494Z BASE_SHA=a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:05:47.9346866Z XLA_CUDA= 2025-07-17T07:05:47.9347095Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-07-17T07:05:47.9347510Z HUGGING_FACE_HUB_TOKEN=*** 2025-07-17T07:05:47.9347829Z *** 2025-07-17T07:05:47.9348261Z GITHUB_REPOSITORY_ID=65600975 2025-07-17T07:05:47.9348679Z GITHUB_ACTIONS=true 2025-07-17T07:05:47.9349127Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-07-17T07:05:47.9349761Z SHA1=a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:05:47.9350433Z GITHUB_SHA=a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:05:47.9351403Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/pull.yml@refs/heads/main 2025-07-17T07:05:47.9351981Z UCC_HOME=/usr 2025-07-17T07:05:47.9352223Z TORCH_SERIALIZATION_DEBUG=1 2025-07-17T07:05:47.9352504Z VERBOSE_TEST_LOGS=False 2025-07-17T07:05:47.9352763Z GITHUB_REF=refs/heads/main 2025-07-17T07:05:47.9353134Z SHARD_NUMBER=1 2025-07-17T07:05:47.9353374Z GITHUB_REF_PROTECTED=true 2025-07-17T07:05:47.9353646Z HOME=/var/lib/jenkins 2025-07-17T07:05:47.9353922Z GITHUB_API_URL=https://api.github.com 2025-07-17T07:05:47.9354262Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-07-17T07:05:47.9354558Z UCX_COMMIT= 2025-07-17T07:05:47.9354761Z USE_SYSTEM_NCCL=1 2025-07-17T07:05:47.9355006Z NUM_TEST_SHARDS=2 2025-07-17T07:05:47.9355234Z UCX_HOME=/usr 2025-07-17T07:05:47.9355803Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_f5a06de1-c409-4a15-a75d-8f8783f240e9 2025-07-17T07:05:47.9356599Z JOB_NAME=linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge) 2025-07-17T07:05:47.9357376Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_f5a06de1-c409-4a15-a75d-8f8783f240e9 2025-07-17T07:05:47.9358206Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-07-17T07:05:47.9358713Z GITHUB_EVENT_NAME=push 2025-07-17T07:05:47.9358971Z DASHBOARD_TAG= 2025-07-17T07:05:47.9359204Z GITHUB_RUN_ID=16337959907 2025-07-17T07:05:47.9359457Z INSTALLED_OPENBLAS= 2025-07-17T07:05:47.9360090Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_f5a06de1-c409-4a15-a75d-8f8783f240e9 2025-07-17T07:05:47.9360800Z GITHUB_ACTOR=pytorchmergebot 2025-07-17T07:05:47.9361070Z PR_NUMBER= 2025-07-17T07:05:47.9361280Z DESIRED_CUDA= 2025-07-17T07:05:47.9361507Z GITHUB_RUN_ATTEMPT=1 2025-07-17T07:05:47.9361737Z VALGRIND=ON 2025-07-17T07:05:47.9361968Z ANACONDA_PYTHON_VERSION=3.13 2025-07-17T07:05:47.9362313Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-07-17T07:05:47.9362653Z TERM=vt100 2025-07-17T07:05:47.9362876Z INSTALLED_VISION=yes 2025-07-17T07:05:47.9363124Z BRANCH=main 2025-07-17T07:05:47.9363342Z SCCACHE_REGION=us-east-1 2025-07-17T07:05:47.9363616Z OPENSSL_ROOT_DIR=/opt/openssl 2025-07-17T07:05:47.9363905Z CUDA_PATH=/usr/local/cuda 2025-07-17T07:05:47.9364432Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-07-17T07:05:47.9365014Z GITHUB_SERVER_URL=https://github.com 2025-07-17T07:05:47.9365319Z UCC_COMMIT= 2025-07-17T07:05:47.9365537Z REENABLED_ISSUES= 2025-07-17T07:05:47.9365753Z DOCS= 2025-07-17T07:05:47.9365950Z SHLVL=1 2025-07-17T07:05:47.9366149Z MAX_JOBS=6 2025-07-17T07:05:47.9366364Z GITHUB_ACTOR_ID=97764156 2025-07-17T07:05:47.9366715Z GITHUB_WORKFLOW_SHA=a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T07:05:47.9367111Z GITHUB_REF_NAME=main 2025-07-17T07:05:47.9367490Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-07-17T07:05:47.9367931Z GITHUB_JOB=test 2025-07-17T07:05:47.9368171Z NO_TEST_TIMEOUT=False 2025-07-17T07:05:47.9368419Z TD_DISTRIBUTED=False 2025-07-17T07:05:47.9368819Z GITHUB_REPOSITORY=pytorch/pytorch 2025-07-17T07:05:47.9369134Z GITHUB_RETENTION_DAYS=90 2025-07-17T07:05:47.9369395Z OPENSSL_DIR=/opt/openssl 2025-07-17T07:05:47.9369876Z GITHUB_ACTION_REPOSITORY= 2025-07-17T07:05:47.9370682Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-07-17T07:05:47.9371513Z GITHUB_BASE_REF= 2025-07-17T07:05:47.9371738Z INSTALLED_ACL= 2025-07-17T07:05:47.9372094Z ARTIFACTS_FILE_SUFFIX=test-crossref-1-2-linux.2xlarge_46154839621 2025-07-17T07:05:47.9372638Z CI=true 2025-07-17T07:05:47.9372858Z GITHUB_REPOSITORY_OWNER=pytorch 2025-07-17T07:05:47.9373195Z RUST_LOG=sccache::server=error 2025-07-17T07:05:47.9373476Z JOB_ID=46154839621 2025-07-17T07:05:47.9373695Z GITHUB_HEAD_REF= 2025-07-17T07:05:47.9373926Z GITHUB_ACTION_REF= 2025-07-17T07:05:47.9374220Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-07-17T07:05:47.9374572Z TEST_SHOWLOCALS=False 2025-07-17T07:05:47.9374830Z GITHUB_WORKFLOW=pull 2025-07-17T07:05:47.9375095Z DEBIAN_FRONTEND=noninteractive 2025-07-17T07:05:47.9375738Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_f5a06de1-c409-4a15-a75d-8f8783f240e9 2025-07-17T07:05:47.9391785Z NO_TD=False 2025-07-17T07:05:47.9392114Z SKIP_SCCACHE_INITIALIZATION=1 2025-07-17T07:05:47.9392450Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-07-17T07:05:47.9392777Z _=/usr/bin/env 2025-07-17T07:05:47.9393020Z + echo 'Testing pytorch' 2025-07-17T07:05:47.9393273Z Testing pytorch 2025-07-17T07:05:47.9393541Z + export LANG=C.UTF-8 2025-07-17T07:05:47.9393789Z + LANG=C.UTF-8 2025-07-17T07:05:47.9394036Z + PR_NUMBER= 2025-07-17T07:05:47.9394260Z + [[ crossref == \d\e\f\a\u\l\t ]] 2025-07-17T07:05:47.9394577Z + [[ crossref == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-07-17T07:05:47.9394896Z + [[ crossref == \s\l\o\w ]] 2025-07-17T07:05:47.9395220Z + [[ linux-jammy-py3.13-clang12 == *slow-gradcheck* ]] 2025-07-17T07:05:47.9395626Z + [[ linux-jammy-py3.13-clang12 == *cuda* ]] 2025-07-17T07:05:47.9395982Z + [[ linux-jammy-py3.13-clang12 == *rocm* ]] 2025-07-17T07:05:47.9396322Z + [[ linux-jammy-py3.13-clang12 == *xpu* ]] 2025-07-17T07:05:47.9396656Z + [[ crossref == *crossref* ]] 2025-07-17T07:05:47.9396964Z + export PYTORCH_TEST_WITH_CROSSREF=1 2025-07-17T07:05:47.9397291Z + PYTORCH_TEST_WITH_CROSSREF=1 2025-07-17T07:05:47.9397591Z + [[ linux-jammy-py3.13-clang12 == *rocm* ]] 2025-07-17T07:05:47.9397942Z + [[ linux-jammy-py3.13-clang12 == *xpu* ]] 2025-07-17T07:05:47.9398303Z + [[ linux-jammy-py3.13-clang12 != *-bazel-* ]] 2025-07-17T07:05:47.9398643Z + pip_install ninja==1.10.2 2025-07-17T07:05:47.9399024Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-07-17T07:05:47.9399510Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-07-17T07:05:48.3789924Z Collecting ninja==1.10.2 2025-07-17T07:05:48.3963786Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-07-17T07:05:48.4070939Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-07-17T07:05:48.5853456Z Installing collected packages: ninja 2025-07-17T07:05:48.5854177Z Attempting uninstall: ninja 2025-07-17T07:05:48.5888255Z Found existing installation: ninja 1.11.1.3 2025-07-17T07:05:48.5910816Z Uninstalling ninja-1.11.1.3: 2025-07-17T07:05:48.5965409Z Successfully uninstalled ninja-1.11.1.3 2025-07-17T07:05:48.6207266Z Successfully installed ninja-1.10.2 2025-07-17T07:05:48.6855891Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-07-17T07:05:48.6857696Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.13/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-07-17T07:05:48.6859218Z + [[ linux-jammy-py3.13-clang12 == *aarch64* ]] 2025-07-17T07:05:48.6859775Z + [[ linux-jammy-py3.13-clang12 == *asan* ]] 2025-07-17T07:05:48.6860279Z + [[ linux-jammy-py3.13-clang12 == *-debug* ]] 2025-07-17T07:05:48.6860757Z + [[ linux-jammy-py3.13-clang12 != *-bazel-* ]] 2025-07-17T07:05:48.6861286Z + echo 'We are not in debug mode: linux-jammy-py3.13-clang12. Expect the assertion to pass' 2025-07-17T07:05:48.6861937Z We are not in debug mode: linux-jammy-py3.13-clang12. Expect the assertion to pass 2025-07-17T07:05:48.6862409Z + cd test 2025-07-17T07:05:48.6862915Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-07-17T07:05:50.0608127Z + [[ crossref == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-07-17T07:05:50.0608567Z + [[ crossref == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-07-17T07:05:50.0608955Z + [[ crossref == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-07-17T07:05:50.0612230Z + DYNAMO_BENCHMARK_FLAGS=() 2025-07-17T07:05:50.0613161Z + [[ crossref == *pr_time_benchmarks* ]] 2025-07-17T07:05:50.0613608Z + [[ crossref == *dynamo_eager* ]] 2025-07-17T07:05:50.0613920Z + [[ crossref == *aot_eager* ]] 2025-07-17T07:05:50.0614274Z + [[ crossref == *aot_inductor* ]] 2025-07-17T07:05:50.0614583Z + [[ crossref == *max_autotune_inductor* ]] 2025-07-17T07:05:50.0614968Z + [[ crossref == *inductor* ]] 2025-07-17T07:05:50.0615257Z + [[ crossref == *dynamic* ]] 2025-07-17T07:05:50.0615586Z + [[ crossref == *cpu* ]] 2025-07-17T07:05:50.0615889Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-07-17T07:05:50.0641475Z + [[ linux-jammy-py3.13-clang12 == *libtorch* ]] 2025-07-17T07:05:50.0641967Z + [[ linux-jammy-py3.13-clang12 == *-bazel-* ]] 2025-07-17T07:05:50.0645108Z + cd test 2025-07-17T07:05:50.0645529Z + python -c 'import torch; print(torch.__config__.show())' 2025-07-17T07:05:51.1454682Z PyTorch built with: 2025-07-17T07:05:51.1455035Z - GCC 4.2 2025-07-17T07:05:51.1455271Z - C++ Version: 201703 2025-07-17T07:05:51.1455539Z - clang 12.0.1 2025-07-17T07:05:51.1456153Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-07-17T07:05:51.1456990Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-07-17T07:05:51.1457490Z - OpenMP 201811 2025-07-17T07:05:51.1457765Z - LAPACK is enabled (usually provided by MKL) 2025-07-17T07:05:51.1458166Z - NNPACK is enabled 2025-07-17T07:05:51.1458438Z - CPU capability usage: AVX512 2025-07-17T07:05:51.1464457Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=a38f433be2e94a64b095a44ba39879d02d0c2316, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -faligned-new -Werror -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.9.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_CUSPARSELT=OFF, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-07-17T07:05:51.1470724Z 2025-07-17T07:05:51.3928998Z + cd test 2025-07-17T07:05:51.3929409Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-07-17T07:05:52.4740970Z ATen/Parallel: 2025-07-17T07:05:52.4741309Z at::get_num_threads() : 4 2025-07-17T07:05:52.4741624Z at::get_num_interop_threads() : 4 2025-07-17T07:05:52.4742223Z OpenMP 201811 2025-07-17T07:05:52.4742485Z omp_get_max_threads() : 4 2025-07-17T07:05:52.4743081Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-07-17T07:05:52.4743704Z mkl_get_max_threads() : 4 2025-07-17T07:05:52.4744090Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-07-17T07:05:52.4744551Z std::thread::hardware_concurrency() : 8 2025-07-17T07:05:52.4744883Z Environment variables: 2025-07-17T07:05:52.4745144Z OMP_NUM_THREADS : [not set] 2025-07-17T07:05:52.4745557Z MKL_NUM_THREADS : [not set] 2025-07-17T07:05:52.4745851Z ATen parallel backend: OpenMP 2025-07-17T07:05:52.4746042Z 2025-07-17T07:05:52.7601362Z + [[ crossref == *numpy_2* ]] 2025-07-17T07:05:52.7602071Z + [[ linux-jammy-py3.13-clang12 == *aarch64* ]] 2025-07-17T07:05:52.7602737Z + [[ crossref == *backward* ]] 2025-07-17T07:05:52.7603041Z + [[ crossref == *xla* ]] 2025-07-17T07:05:52.7603344Z + [[ crossref == *executorch* ]] 2025-07-17T07:05:52.7603638Z + [[ crossref == \j\i\t\_\l\e\g\a\c\y ]] 2025-07-17T07:05:52.7603996Z + [[ linux-jammy-py3.13-clang12 == *libtorch* ]] 2025-07-17T07:05:52.7604352Z + [[ crossref == distributed ]] 2025-07-17T07:05:52.7604673Z + [[ crossref == *operator_benchmark* ]] 2025-07-17T07:05:52.7605002Z + [[ crossref == *inductor_distributed* ]] 2025-07-17T07:05:52.7605346Z + [[ crossref == *inductor-halide* ]] 2025-07-17T07:05:52.7605682Z + [[ crossref == *inductor-triton-cpu* ]] 2025-07-17T07:05:52.7606046Z + [[ crossref == *inductor-micro-benchmark* ]] 2025-07-17T07:05:52.7606391Z + [[ crossref == *huggingface* ]] 2025-07-17T07:05:52.7606691Z + [[ crossref == *timm* ]] 2025-07-17T07:05:52.7606971Z + [[ crossref == cachebench ]] 2025-07-17T07:05:52.7607258Z + [[ crossref == verify_cachebench ]] 2025-07-17T07:05:52.7607594Z + [[ crossref == *torchbench* ]] 2025-07-17T07:05:52.7607910Z + [[ crossref == *inductor_cpp_wrapper* ]] 2025-07-17T07:05:52.7608228Z + [[ crossref == *inductor* ]] 2025-07-17T07:05:52.7608519Z + [[ crossref == *einops* ]] 2025-07-17T07:05:52.7608813Z + [[ crossref == *dynamo_wrapped* ]] 2025-07-17T07:05:52.7609150Z + [[ linux-jammy-py3.13-clang12 == *rocm* ]] 2025-07-17T07:05:52.7609452Z + [[ 1 == 1 ]] 2025-07-17T07:05:52.7609678Z + [[ 2 -gt 1 ]] 2025-07-17T07:05:52.7609936Z + test_lazy_tensor_meta_reference_disabled 2025-07-17T07:05:52.7610329Z + export TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-07-17T07:05:52.7610771Z + TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE=1 2025-07-17T07:05:52.7611225Z + echo 'Testing lazy tensor operations without meta reference' 2025-07-17T07:05:52.7611676Z Testing lazy tensor operations without meta reference 2025-07-17T07:05:52.7612163Z + python test/run_test.py --include lazy/test_ts_opinfo.py --verbose 2025-07-17T07:05:55.1105879Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:05:55.1107461Z import pkg_resources 2025-07-17T07:05:56.6184326Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-07-17T07:05:56.6658222Z Ignoring disabled issues: [''] 2025-07-17T07:05:56.6973898Z Found test times from artifacts 2025-07-17T07:05:56.8194183Z Found test times from artifacts 2025-07-17T07:05:56.8230169Z Running all tests 2025-07-17T07:05:56.8233809Z Running parallel tests on 3 processes 2025-07-17T07:05:56.8234232Z Name: tests to run (est. time: 0.53min) 2025-07-17T07:05:56.8234535Z Serial tests (0): 2025-07-17T07:05:56.8234782Z Parallel tests (1): 2025-07-17T07:05:56.8235080Z lazy/test_ts_opinfo 1/1 2025-07-17T07:05:56.8235486Z Name: excluded (est. time: 0.0min) 2025-07-17T07:05:56.8235838Z Serial tests (0): 2025-07-17T07:05:56.8236443Z Parallel tests (0): 2025-07-17T07:05:56.8236790Z Running lazy/test_ts_opinfo 1/1 ... [2025-07-17 07:05:56.823460] 2025-07-17T07:05:56.8237220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:05:56.8240585Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:05:56.823812] 2025-07-17T07:06:01.1448181Z 2025-07-17T07:06:01.1449761Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_9fd8ae20ee215382_.log 2025-07-17T07:06:01.1451004Z Running 0 items in this shard: 2025-07-17T07:06:01.1451196Z 2025-07-17T07:06:01.4385902Z Uploading artifacts took 0.29 seconds 2025-07-17T07:06:03.9014136Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:06:03.9015719Z import pkg_resources 2025-07-17T07:06:03.9106442Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:06:03.9107974Z import pkg_resources 2025-07-17T07:06:03.9155893Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:06:03.9157373Z import pkg_resources 2025-07-17T07:06:04.0228140Z Running lazy/test_ts_opinfo 1/1 ... [2025-07-17 07:06:04.022416] 2025-07-17T07:06:04.0228785Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:06:04.0230856Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:06:04.022799] 2025-07-17T07:06:20.5131497Z 2025-07-17T07:06:20.5132403Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_8e4f3f068eef7b42_.log 2025-07-17T07:06:20.5363653Z Running 292 items in this shard: test/lazy/test_ts_opinfo.py::TestLazyTensor::testConvolutionBackward, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_tensor_ctr, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_view_mark_step_preserved, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcdiv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bernoulli_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_pow_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_adaptiveavgpool3d_dynamic, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_nonzero_dynamic 2025-07-17T07:06:20.5561727Z 2025-07-17T07:06:21.3428205Z Running test batch 'tests to run' cost 24.52 seconds 2025-07-17T07:06:22.1216713Z 2025-07-17T07:06:22.1217132Z real 0m29.361s 2025-07-17T07:06:22.1217414Z user 0m59.285s 2025-07-17T07:06:22.1217638Z sys 0m3.439s 2025-07-17T07:06:22.1217960Z + export -n TORCH_DISABLE_FUNCTIONALIZATION_META_REFERENCE 2025-07-17T07:06:22.1218358Z + test_without_numpy 2025-07-17T07:06:22.1222168Z ++ dirname .ci/pytorch/test.sh 2025-07-17T07:06:22.1244227Z + pushd .ci/pytorch 2025-07-17T07:06:22.1244518Z ~/workspace/.ci/pytorch ~/workspace 2025-07-17T07:06:22.1245611Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');from unittest import TestCase;import torch;x=torch.randn(3,3);TestCase().assertRaises(RuntimeError, lambda: x.numpy())' 2025-07-17T07:06:22.7680301Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_subclasses/functional_tensor.py:279: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:82.) 2025-07-17T07:06:22.7681807Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-07-17T07:06:23.4084017Z + python -c 'import sys;sys.path.insert(0, '\''fake_numpy'\'');import torch;print(torch.tensor([torch.tensor(0.), torch.tensor(1.)]))' 2025-07-17T07:06:24.0402381Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_subclasses/functional_tensor.py:279: UserWarning: Failed to initialize NumPy: Sorry PyTorch, but our NumPy is in the other folder (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:82.) 2025-07-17T07:06:24.0403889Z cpu = _conversion_method_template(device=torch.device("cpu")) 2025-07-17T07:06:24.4098703Z tensor([0., 1.]) 2025-07-17T07:06:24.6870686Z + [[ crossref == *dynamo_wrapped* ]] 2025-07-17T07:06:24.6871282Z + popd 2025-07-17T07:06:24.6871486Z ~/workspace 2025-07-17T07:06:24.6871715Z + install_torchvision 2025-07-17T07:06:24.6871973Z + local orig_preload 2025-07-17T07:06:24.6872205Z + local commit 2025-07-17T07:06:24.6873837Z ++ get_pinned_commit vision 2025-07-17T07:06:24.6874741Z ++ cat .github/ci_commit_pins/vision.txt 2025-07-17T07:06:24.6902550Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-07-17T07:06:24.6903217Z + orig_preload= 2025-07-17T07:06:24.6903644Z + '[' -n '' ']' 2025-07-17T07:06:24.6904668Z + pip_install --no-use-pep517 git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-07-17T07:06:24.6905727Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-07-17T07:06:24.6906787Z + python3 -m pip install --progress-bar off --no-use-pep517 git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-07-17T07:06:25.0228774Z Collecting git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-07-17T07:06:25.0233722Z Cloning https://github.com/pytorch/vision.git (to revision 966da7e46f65d6d49df3e31214470a4fe5cc8e66) to /tmp/pip-req-build-h0ux7nku 2025-07-17T07:06:25.0253443Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-h0ux7nku 2025-07-17T07:06:26.8454971Z Running command git rev-parse -q --verify 'sha^966da7e46f65d6d49df3e31214470a4fe5cc8e66' 2025-07-17T07:06:26.8475810Z Running command git fetch -q https://github.com/pytorch/vision.git 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-07-17T07:06:26.9809848Z Running command git checkout -q 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-07-17T07:06:27.2788755Z Resolved https://github.com/pytorch/vision.git to commit 966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-07-17T07:06:29.1741673Z Preparing metadata (setup.py) ... [?25l- \ | done 2025-07-17T07:06:29.1742728Z [?25hRequirement already satisfied: numpy in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torchvision==0.22.0a0+966da7e) (2.1.2) 2025-07-17T07:06:29.1743982Z Requirement already satisfied: torch in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torchvision==0.22.0a0+966da7e) (2.9.0a0+gita38f433) 2025-07-17T07:06:29.1745376Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torchvision==0.22.0a0+966da7e) (11.0.0) 2025-07-17T07:06:29.1746560Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch->torchvision==0.22.0a0+966da7e) (3.18.0) 2025-07-17T07:06:29.1747924Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch->torchvision==0.22.0a0+966da7e) (4.14.1) 2025-07-17T07:06:29.1749320Z Requirement already satisfied: setuptools in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch->torchvision==0.22.0a0+966da7e) (80.9.0) 2025-07-17T07:06:29.1750542Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch->torchvision==0.22.0a0+966da7e) (1.13.3) 2025-07-17T07:06:29.1751907Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch->torchvision==0.22.0a0+966da7e) (2.8.8) 2025-07-17T07:06:29.1753114Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch->torchvision==0.22.0a0+966da7e) (3.1.6) 2025-07-17T07:06:29.1756391Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from torch->torchvision==0.22.0a0+966da7e) (2025.5.1) 2025-07-17T07:06:29.1771252Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from sympy>=1.13.3->torch->torchvision==0.22.0a0+966da7e) (1.3.0) 2025-07-17T07:06:29.1888393Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.13/lib/python3.13/site-packages (from jinja2->torch->torchvision==0.22.0a0+966da7e) (3.0.2) 2025-07-17T07:06:29.1978208Z Building wheels for collected packages: torchvision 2025-07-17T07:06:29.2027398Z  DEPRECATION: Building 'torchvision' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchvision'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-07-17T07:08:05.2090614Z  Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done 2025-07-17T07:08:05.2129678Z [?25h Created wheel for torchvision: filename=torchvision-0.22.0a0+966da7e-cp313-cp313-linux_x86_64.whl size=1199175 sha256=fd033ff9e34249d81aed56e129e6c30af8f0428cfd4e34c6e5cd2878fcb63e02 2025-07-17T07:08:05.2130993Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/89/53/07/16d05bff0990e585bfa232438657da6e5e4f6d0cea71bd3e09 2025-07-17T07:08:05.2168732Z Successfully built torchvision 2025-07-17T07:08:05.3663110Z Installing collected packages: torchvision 2025-07-17T07:08:05.8384253Z Successfully installed torchvision-0.22.0a0+966da7e 2025-07-17T07:08:05.9410888Z + '[' -n '' ']' 2025-07-17T07:08:05.9411187Z + test_python_shard 1 2025-07-17T07:08:05.9411444Z + [[ -z 2 ]] 2025-07-17T07:08:05.9412075Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 1 2 --verbose --upload-artifacts-while-running 2025-07-17T07:08:08.3299607Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:08:08.3301205Z import pkg_resources 2025-07-17T07:08:09.8225327Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-07-17T07:08:09.8493643Z Found test times from artifacts 2025-07-17T07:08:09.9560421Z Found test times from artifacts 2025-07-17T07:08:09.9602527Z Running all tests 2025-07-17T07:08:09.9838555Z Running parallel tests on 3 processes 2025-07-17T07:08:09.9854957Z Name: tests to run (est. time: 97.12min) 2025-07-17T07:08:09.9855530Z Serial tests (48): 2025-07-17T07:08:09.9856047Z test_ci_sanity_check_fail 1/1 2025-07-17T07:08:09.9856549Z inductor/test_distributed_patterns 1/1 2025-07-17T07:08:09.9856939Z test_overrides 1/1 2025-07-17T07:08:09.9857329Z test_reductions 1/1 2025-07-17T07:08:09.9857786Z doctests 1/1 2025-07-17T07:08:09.9858181Z test_namedtuple_return_api 1/1 2025-07-17T07:08:09.9858588Z test_nn 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inductor/test_control_flow 1/1 2025-07-17T07:08:09.9928083Z dynamo/test_export_mutations 1/1 2025-07-17T07:08:09.9928387Z inductor/test_binary_folding 1/1 2025-07-17T07:08:09.9928774Z inductor/test_torchinductor_codegen_config_overrides 1/1 2025-07-17T07:08:09.9929170Z xpu/test_conv 1/1 2025-07-17T07:08:09.9929419Z dynamo/test_optimizers 1/1 2025-07-17T07:08:09.9929705Z dynamo/test_sets 1/1 2025-07-17T07:08:09.9929979Z dynamo/test_structured_trace 1/1 2025-07-17T07:08:09.9930346Z dynamo/test_debug_utils 1/1 2025-07-17T07:08:09.9930641Z dynamo/test_base_hop 1/1 2025-07-17T07:08:09.9930925Z inductor/test_memory 1/1 2025-07-17T07:08:09.9931194Z dynamo/test_profiler 1/1 2025-07-17T07:08:09.9931479Z dynamo/test_cudagraphs 1/1 2025-07-17T07:08:09.9931767Z inductor/test_config 1/1 2025-07-17T07:08:09.9932052Z dynamo/test_deviceguard 1/1 2025-07-17T07:08:09.9932345Z inductor/test_fused_attention 1/1 2025-07-17T07:08:09.9932658Z test_ops_gradients 2/2 2025-07-17T07:08:09.9932926Z test_pruning_op 1/1 2025-07-17T07:08:09.9933201Z test_set_default_mobile_cpu_allocator 1/1 2025-07-17T07:08:09.9933530Z test_monitor 1/1 2025-07-17T07:08:09.9933813Z dynamo/test_verify_correctness 1/1 2025-07-17T07:08:09.9934120Z dynamo/test_backends 1/1 2025-07-17T07:08:09.9934409Z export/test_serialize 1/1 2025-07-17T07:08:09.9934702Z test_segment_reductions 1/1 2025-07-17T07:08:09.9934987Z inductor/test_padding 1/1 2025-07-17T07:08:09.9935282Z test_out_dtype_op 1/1 2025-07-17T07:08:09.9935554Z export/test_hop 1/1 2025-07-17T07:08:09.9935814Z dynamo/test_higher_order_ops 1/1 2025-07-17T07:08:09.9936130Z test_cuda_sanitizer 1/1 2025-07-17T07:08:09.9936427Z test_model_exports_to_core_aten 1/1 2025-07-17T07:08:09.9936743Z test_mkldnn 1/1 2025-07-17T07:08:09.9937024Z torch_np/numpy_tests/lib/test_function_base 1/1 2025-07-17T07:08:09.9937407Z lazy/test_functionalization 1/1 2025-07-17T07:08:09.9937711Z test_jit 1/1 2025-07-17T07:08:09.9937944Z dynamo/test_einops 1/1 2025-07-17T07:08:09.9938209Z test_modules 1/2 2025-07-17T07:08:09.9938470Z optim/test_lrscheduler 1/1 2025-07-17T07:08:09.9938755Z dynamo/test_aot_autograd 1/1 2025-07-17T07:08:09.9939057Z dynamo/test_error_messages 1/1 2025-07-17T07:08:09.9939360Z test_accelerator 1/1 2025-07-17T07:08:09.9939618Z dynamo/test_callback 1/1 2025-07-17T07:08:09.9939986Z dynamo/test_exceptions 1/1 2025-07-17T07:08:09.9940280Z dynamo/test_hooks 1/1 2025-07-17T07:08:09.9940534Z test_matmul_cuda 1/1 2025-07-17T07:08:09.9940810Z dynamo/test_bytecode_utils 1/1 2025-07-17T07:08:09.9941112Z lazy/test_ts_opinfo 1/1 2025-07-17T07:08:09.9941374Z test_maskedtensor 1/1 2025-07-17T07:08:09.9941684Z torch_np/numpy_tests/core/test_scalarmath 1/1 2025-07-17T07:08:09.9942068Z torch_np/numpy_tests/core/test_getlimits 1/1 2025-07-17T07:08:09.9942425Z dynamo/test_recompile_ux 1/1 2025-07-17T07:08:09.9942732Z torch_np/numpy_tests/core/test_dtype 1/1 2025-07-17T07:08:09.9943067Z inductor/test_compile 1/1 2025-07-17T07:08:09.9943373Z functorch/test_vmap_registrations 1/1 2025-07-17T07:08:09.9943722Z torch_np/numpy_tests/core/test_shape_base 1/1 2025-07-17T07:08:09.9944081Z nn/test_packed_sequence 1/1 2025-07-17T07:08:09.9944366Z test_futures 1/1 2025-07-17T07:08:09.9944611Z export/test_sparse 1/1 2025-07-17T07:08:09.9944887Z optim/test_optim 1/1 2025-07-17T07:08:09.9945153Z export/test_verifier 1/1 2025-07-17T07:08:09.9945459Z torch_np/numpy_tests/fft/test_pocketfft 1/1 2025-07-17T07:08:09.9945804Z test_serialization 1/1 2025-07-17T07:08:09.9946082Z test_functional_optim 1/1 2025-07-17T07:08:09.9946355Z nn/test_embedding 1/1 2025-07-17T07:08:09.9946617Z nn/test_dropout 1/1 2025-07-17T07:08:09.9946874Z test_dynamic_shapes 1/1 2025-07-17T07:08:09.9947173Z torch_np/numpy_tests/fft/test_helper 1/1 2025-07-17T07:08:09.9947611Z torch_np/test_ndarray_methods 1/1 2025-07-17T07:08:09.9947965Z torch_np/numpy_tests/lib/test_twodim_base 1/1 2025-07-17T07:08:09.9948310Z test_vulkan 1/1 2025-07-17T07:08:09.9948582Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 2025-07-17T07:08:09.9948933Z test_mkldnn_fusion 1/1 2025-07-17T07:08:09.9949220Z dynamo/test_guard_manager 1/1 2025-07-17T07:08:09.9949502Z test_shape_ops 1/1 2025-07-17T07:08:09.9949771Z torch_np/test_scalars_0D_arrays 1/1 2025-07-17T07:08:09.9950094Z export/test_draft_export 1/1 2025-07-17T07:08:09.9950441Z nn/test_load_state_dict 1/1 2025-07-17T07:08:09.9950722Z test_indexing 1/1 2025-07-17T07:08:09.9951014Z torch_np/numpy_tests/lib/test_index_tricks 1/1 2025-07-17T07:08:09.9951377Z torch_np/numpy_tests/core/test_dlpack 1/1 2025-07-17T07:08:09.9951741Z torch_np/numpy_tests/lib/test_arraypad 1/1 2025-07-17T07:08:09.9952079Z lazy/test_debug_util 1/1 2025-07-17T07:08:09.9952372Z test_xnnpack_integration 1/1 2025-07-17T07:08:09.9952652Z test_sparse_csr 1/1 2025-07-17T07:08:09.9952910Z lazy/test_generator 1/1 2025-07-17T07:08:09.9953212Z test_functional_autograd_benchmark 1/1 2025-07-17T07:08:09.9953577Z torch_np/numpy_tests/core/test_scalar_methods 1/1 2025-07-17T07:08:09.9953936Z nn/test_module_hooks 1/1 2025-07-17T07:08:09.9954256Z torch_np/numpy_tests/lib/test_arraysetops 1/1 2025-07-17T07:08:09.9954635Z torch_np/numpy_tests/core/test_numerictypes 1/1 2025-07-17T07:08:09.9954987Z test_view_ops 1/1 2025-07-17T07:08:09.9955248Z test_scatter_gather_ops 1/1 2025-07-17T07:08:09.9955540Z profiler/test_memory_profiler 1/1 2025-07-17T07:08:09.9955854Z test_unary_ufuncs 1/1 2025-07-17T07:08:09.9956124Z test_cuda_multigpu 1/1 2025-07-17T07:08:09.9956402Z torch_np/test_reductions 1/1 2025-07-17T07:08:09.9956692Z profiler/test_profiler_tree 1/1 2025-07-17T07:08:09.9957000Z test_type_promotion 1/1 2025-07-17T07:08:09.9957282Z test_jit_autocast 1/1 2025-07-17T07:08:09.9957550Z profiler/test_record_function 1/1 2025-07-17T07:08:09.9957852Z test_prims 1/1 2025-07-17T07:08:09.9958093Z lazy/test_reuse_ir 1/1 2025-07-17T07:08:09.9958365Z profiler/test_execution_trace 1/1 2025-07-17T07:08:09.9958689Z profiler/test_torch_tidy 1/1 2025-07-17T07:08:09.9959034Z test_rename_privateuse1_to_existing_device 1/1 2025-07-17T07:08:09.9959385Z Name: excluded (est. time: 0.0min) 2025-07-17T07:08:09.9959680Z Serial tests (0): 2025-07-17T07:08:09.9959924Z Parallel tests (0): 2025-07-17T07:08:09.9965301Z Running test_ci_sanity_check_fail 1/1 ... [2025-07-17 07:08:09.996249] 2025-07-17T07:08:09.9965751Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:08:09.9969182Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:08:09.996662] 2025-07-17T07:08:23.4159363Z Uploading artifacts took 0.31 seconds 2025-07-17T07:08:23.4161926Z Running inductor/test_distributed_patterns 1/1 ... [2025-07-17 07:08:23.416011] 2025-07-17T07:08:23.4162512Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:08:23.4166742Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_distributed_patterns.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:08:23.416417] 2025-07-17T07:08:33.2817956Z 2025-07-17T07:08:33.2819116Z inductor/test_distributed_patterns 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_distributed_patterns_1.1_fded62ccfec43f6b_.log 2025-07-17T07:08:33.2820068Z 2025-07-17T07:08:33.2822391Z Running test_overrides 1/1 ... [2025-07-17 07:08:33.282093] 2025-07-17T07:08:33.2822799Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:08:33.2826381Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:08:33.282407] 2025-07-17T07:08:40.5599942Z 2025-07-17T07:08:40.5600787Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_22d04921d44efea0_.log 2025-07-17T07:08:40.6091064Z Running 1467 items in this shard: test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_H___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_T___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__backward_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__base___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__cdata___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__post_accumulate_grad_hooks___get__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_left_shift_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_right_shift_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bool, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_byte, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cauchy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ccol_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cdouble, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ceil_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cfloat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_chalf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_char, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_max_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_min_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clip, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clip_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clone, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_coalesce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_col_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj_physical_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copysign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cos, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cos_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cosh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cov, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cross, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_crow_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cuda, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_data_ptr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dense_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_det, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diff, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim_order, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_double, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_element_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erf_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfinv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expand, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expand_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exponential_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_diagonal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flip, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float_power_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gather, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ge, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ge_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_geometric_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ger, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_half, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_has_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_istft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_item, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kron, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mtia, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_record_stream, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_refine_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_post_accumulate_grad_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_requires_grad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_sparse_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_retain_grad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_roll, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_row_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_untyped_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_values, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_var, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_where, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_zero_, test/test_overrides.py::TestTorchFunctionOverride::test_base, test/test_overrides.py::TestTorchFunctionOverride::test_dtype_override, test/test_overrides.py::TestTorchFunctionOverride::test_grad, test/test_overrides.py::TestTorchFunctionOverride::test_has_torch_function_non_sequence, test/test_overrides.py::TestTorchFunctionOverride::test_mean_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_mm_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_pow_rpow, test/test_overrides.py::TestTorchFunctionOverride::test_precedence_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_tensor_subclass_propagation, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cond, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eig, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigvals, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigvalsh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_householder_product, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_inv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_inv_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_factor, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_factor_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lstsq, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve_triangular, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_svdvals, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_tensorinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_tensorsolve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_vander, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_vecdot, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erfcx, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_expit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_gammainc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_gammaincc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_gammaln, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_hermite_polynomial_h, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_hermite_polynomial_he, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i0e, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i1e, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_laguerre_polynomial_l, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_legendre_polynomial_p, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_log_ndtr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_i1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_k0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_k1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_multigammaln, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_ndtr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_ndtri, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_psi, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_scaled_modified_bessel_k0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_scaled_modified_bessel_k1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_u, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_v, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_w, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_spherical_bessel_j0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlog1py, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_zeta, test/test_overrides.py::TestTorchFunctionOverride::test_torch__assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__conj_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__functional_assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fw_primal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lobpcg_lobpcg, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_pca_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_svd_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__make_dual_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__native_batch_norm_legit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__neg_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__reshape_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__rowwise_prune, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sparse_broadcast_to_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_linear_prepack, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_quantized_linear_prepacked, test/test_overrides.py::TestTorchFunctionOverride::test_torch_abs, test/test_overrides.py::TestTorchFunctionOverride::test_torch_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expand_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_channel_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_tensor_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_block_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_broadcast_tensors, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cartesian_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_chain_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_einsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_meshgrid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_stft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_tensordot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unravel_index, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fused_moving_avg_obs_fake_quant, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gather, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ge, test/test_overrides.py::TestTorchFunctionOverride::test_torch_geqrf, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogramdd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_imag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_add, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_istft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kron, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_torch_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_le, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_unpack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_power, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_depthwise_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_rnn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mode, test/test_overrides.py::TestTorchFunctionOverride::test_torch_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_msort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ne, test/test_overrides.py::TestTorchFunctionOverride::test_torch_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_negative, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional__threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_grid_sample, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gumbel_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hardtanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_huber_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_interpolate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mish, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mse_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_head_attention_forward, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_normalize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_pad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu6, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_silu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_smooth_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softsign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_tanhshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_with_distance_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_constant_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_kaiming_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_torch_norm_except_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nuclear_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_numel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ones_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_outer, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pairwise_distance, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_unshuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polar, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_positive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_channel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor_dynamic, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rand_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randint_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randn_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_torch_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_roll, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_torch_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted, test/test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_smm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_square, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_float, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_int, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_ite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_topk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trace, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapz, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tril, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unflatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unfold_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_where, test/test_overrides.py::TestTorchFunctionOverride::test_torch_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_zeros_like, test/test_overrides.py::TestTorchFunctionOverride::test_user_implementation_raises, test/test_overrides.py::TestEinsumOverride::test_wrapper, test/test_overrides.py::TestGradCheckOverride::test_gradcheck, test/test_overrides.py::TestNamedTuple::test_max, test/test_overrides.py::TestGradNewOnesOverride::test_newones, test/test_overrides.py::TestPickle::test_pickle, test/test_overrides.py::TestBroadcastAllOverride::test_broadcast_all, test/test_overrides.py::TestWrapTorchFunction::test_wrap_torch_function, test/test_overrides.py::TestIndexing::test_getitem, test/test_overrides.py::TestIndexing::test_getitem_subclass, test/test_overrides.py::TestIndexing::test_setitem, test/test_overrides.py::TestIndexing::test_setitem_subclass, test/test_overrides.py::TestIndexing::test_setitem_val, test/test_overrides.py::TestIterator::test_iterator, test/test_overrides.py::TestRNN::test_rnn, test/test_overrides.py::TestDisabledTorchFunction::test_parameter_does_not_prevent_dispatch, test/test_overrides.py::TestResolveName::test_resolve_name, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_standalone_class, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_tensor_subclass, test/test_overrides.py::TestDisabledUserWarnings::test_no_implicit_user_warning_for_deprecated_functions, test/test_overrides.py::TestTorchFunctionMode::test_all_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_basic, test/test_overrides.py::TestTorchFunctionMode::test_custom_device_type, test/test_overrides.py::TestTorchFunctionMode::test_device_context_semantics, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_subclass, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_torch_function_ctx, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_mode, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_not_mode, test/test_overrides.py::TestTorchFunctionMode::test_distributions_bernoulli, test/test_overrides.py::TestTorchFunctionMode::test_error_using_class_method_on_mode, test/test_overrides.py::TestTorchFunctionMode::test_factory_override, test/test_overrides.py::TestTorchFunctionMode::test_get_cur_mode, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_mode_notimplemented_loop, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_return_notimplemented, test/test_overrides.py::TestTorchFunctionMode::test_nested_modes_with_python_has_torch_function, test/test_overrides.py::TestTorchFunctionMode::test_nested_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_nn_parse_to, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_restacking_with_ancestor, test/test_overrides.py::TestTorchFunctionMode::test_subclass_hash, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_with_mode, test/test_overrides.py::TestTorchFunctionMode::test_with_mode_created_separately, test/test_overrides.py::TestTorchFunctionMode::test_with_nested_modes 2025-07-17T07:08:40.6571153Z 2025-07-17T07:08:40.6571357Z Running test_reductions 1/1 ... [2025-07-17 07:08:40.561999] 2025-07-17T07:08:40.6571811Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:08:40.6572864Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:08:40.562344] 2025-07-17T07:12:01.4210516Z 2025-07-17T07:12:01.4211340Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_fd7a040f520c2fb0_.log 2025-07-17T07:12:01.5971450Z Running 4565 items in this shard: test/test_reductions.py::TestReductionsCPU::test_accreal_type_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_all_any_with_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_all_issue117215_cpu, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_amin_amax_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_argminmax_axis_with_dim_one_cpu, test/test_reductions.py::TestReductionsCPU::test_argminmax_large_axis_cpu, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_bincount_cpu, test/test_reductions.py::TestReductionsCPU::test_bucketization_cpu, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float64, 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test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_mean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nanmean_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_nansum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_prod_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_var_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_mean_correction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_std_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_std_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_std_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_sum_all_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_cpu_device_mismatch_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_dim_reduction_uint8_overflow_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_integer_upcast_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_out_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_parallel_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_argmax_argmix_kthvalue_dim_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_reduce_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_cpu, test/test_reductions.py::TestReductionsCPU::test_var_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_var_large_input_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability2_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability_cpu, test/test_reductions.py::TestReductionsCPU::test_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float64 2025-07-17T07:12:01.7670796Z 2025-07-17T07:12:01.7670988Z Running doctests 1/1 ... [2025-07-17 07:12:01.427219] 2025-07-17T07:12:01.7671555Z Start doctest_module('/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch') 2025-07-17T07:12:01.7672039Z Listing tests 2025-07-17T07:12:01.8513434Z msg = Cannot scrape callname=Tensor.dim_order in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py line=1493. 2025-07-17T07:12:01.8514610Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:01.8515004Z 2025-07-17T07:12:01.8515133Z dim_order(ambiguity_check=False) -> tuple 2025-07-17T07:12:01.8515366Z 2025-07-17T07:12:01.8515616Z Returns the uniquely determined tuple of int describing the dim order or 2025-07-17T07:12:01.8516077Z physical layout of :attr:`self`. 2025-07-17T07:12:01.8516285Z 2025-07-17T07:12:01.8516713Z The dim order represents how dimensions are laid out in memory of dense tensors, 2025-07-17T07:12:01.8517264Z starting from the outermost to the innermost dimension. 2025-07-17T07:12:01.8517541Z 2025-07-17T07:12:01.8517739Z Note that the dim order may not always be uniquely determined. 2025-07-17T07:12:01.8518416Z If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined; 2025-07-17T07:12:01.8519330Z If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted 2025-07-17T07:12:01.8520105Z into exactly one of the given memory formats, or it cannot be uniquely determined. 2025-07-17T07:12:01.8520792Z If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness. 2025-07-17T07:12:01.8521351Z Otherwise, it will raise TypeError. 2025-07-17T07:12:01.8521570Z 2025-07-17T07:12:01.8521651Z Args: 2025-07-17T07:12:01.8522094Z ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order. 2025-07-17T07:12:01.8522528Z 2025-07-17T07:12:01.8522654Z Examples:: 2025-07-17T07:12:01.8522788Z 2025-07-17T07:12:01.8522900Z >>> torch.empty((2, 3, 5, 7)).dim_order() 2025-07-17T07:12:01.8523212Z (0, 1, 2, 3) 2025-07-17T07:12:01.8523494Z >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order() 2025-07-17T07:12:01.8523850Z (0, 2, 1, 3) 2025-07-17T07:12:01.8524197Z >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order() 2025-07-17T07:12:01.8524607Z (0, 2, 3, 1) 2025-07-17T07:12:01.8524846Z >>> torch.empty((1, 2, 3, 4)).dim_order() 2025-07-17T07:12:01.8525157Z (0, 1, 2, 3) 2025-07-17T07:12:01.8525379Z >>> try: 2025-07-17T07:12:01.8525666Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True) 2025-07-17T07:12:01.8526068Z ... except RuntimeError as e: 2025-07-17T07:12:01.8526363Z ... print(e) 2025-07-17T07:12:01.8526817Z The tensor does not have unique dim order, or cannot map to exact one of the given memory formats. 2025-07-17T07:12:01.8527363Z >>> torch.empty((1, 2, 3, 4)).dim_order( 2025-07-17T07:12:01.8527798Z ... ambiguity_check=[torch.contiguous_format, torch.channels_last] 2025-07-17T07:12:01.8528260Z ... ) # It can be mapped to contiguous format 2025-07-17T07:12:01.8528573Z (0, 1, 2, 3) 2025-07-17T07:12:01.8528793Z >>> try: 2025-07-17T07:12:01.8529100Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL") 2025-07-17T07:12:01.8529500Z ... except TypeError as e: 2025-07-17T07:12:01.8529780Z ... print(e) 2025-07-17T07:12:01.8530162Z The ambiguity_check argument must be a bool or a list of memory formats. 2025-07-17T07:12:01.8530507Z 2025-07-17T07:12:01.8530596Z .. warning:: 2025-07-17T07:12:01.8530924Z The dim_order tensor API is experimental and subject to change. 2025-07-17T07:12:01.8531230Z 2025-07-17T07:12:01.8531494Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:01.8531861Z 2025-07-17T07:12:01.9057347Z msg = Cannot scrape callname=meshgrid in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=446. 2025-07-17T07:12:01.9058269Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:01.9058953Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors. 2025-07-17T07:12:01.9059702Z 2025-07-17T07:12:01.9059880Z This is helpful when you want to visualize data over some 2025-07-17T07:12:01.9060384Z range of inputs. See below for a plotting example. 2025-07-17T07:12:01.9060649Z 2025-07-17T07:12:01.9060810Z Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as 2025-07-17T07:12:01.9061344Z inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`, 2025-07-17T07:12:01.9061898Z this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots 2025-07-17T07:12:01.9062353Z G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where 2025-07-17T07:12:01.9062976Z the output :math:`G_i` is constructed by expanding :math:`T_i` 2025-07-17T07:12:01.9063443Z to the result shape. 2025-07-17T07:12:01.9063624Z 2025-07-17T07:12:01.9063740Z .. note:: 2025-07-17T07:12:01.9064086Z 0D inputs are treated equivalently to 1D inputs of a 2025-07-17T07:12:01.9064466Z single element. 2025-07-17T07:12:01.9064637Z 2025-07-17T07:12:01.9064797Z .. warning:: 2025-07-17T07:12:01.9065124Z `torch.meshgrid(*tensors)` currently has the same behavior 2025-07-17T07:12:01.9065636Z as calling `numpy.meshgrid(*arrays, indexing='ij')`. 2025-07-17T07:12:01.9065922Z 2025-07-17T07:12:01.9066071Z In the future `torch.meshgrid` will transition to 2025-07-17T07:12:01.9066508Z `indexing='xy'` as the default. 2025-07-17T07:12:01.9066726Z 2025-07-17T07:12:01.9066916Z https://github.com/pytorch/pytorch/issues/50276 tracks 2025-07-17T07:12:01.9067478Z this issue with the goal of migrating to NumPy's behavior. 2025-07-17T07:12:01.9067808Z 2025-07-17T07:12:01.9067929Z .. seealso:: 2025-07-17T07:12:01.9068077Z 2025-07-17T07:12:01.9068245Z :func:`torch.cartesian_prod` has the same effect but it 2025-07-17T07:12:01.9068717Z collects the data in a tensor of vectors. 2025-07-17T07:12:01.9068957Z 2025-07-17T07:12:01.9069053Z Args: 2025-07-17T07:12:01.9069674Z tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be 2025-07-17T07:12:01.9070309Z treated as tensors of size :math:`(1,)` automatically 2025-07-17T07:12:01.9070598Z 2025-07-17T07:12:01.9070775Z indexing: (str, optional): the indexing mode, either "xy" 2025-07-17T07:12:01.9071315Z or "ij", defaults to "ij". See warning for future changes. 2025-07-17T07:12:01.9071597Z 2025-07-17T07:12:01.9071814Z If "xy" is selected, the first dimension corresponds 2025-07-17T07:12:01.9072256Z to the cardinality of the second input and the second 2025-07-17T07:12:01.9072775Z dimension corresponds to the cardinality of the first 2025-07-17T07:12:01.9073154Z input. 2025-07-17T07:12:01.9073346Z 2025-07-17T07:12:01.9073516Z If "ij" is selected, the dimensions are in the same 2025-07-17T07:12:01.9073914Z order as the cardinality of the inputs. 2025-07-17T07:12:01.9074226Z 2025-07-17T07:12:01.9074328Z Returns: 2025-07-17T07:12:01.9074619Z seq (sequence of Tensors): If the input has :math:`N` 2025-07-17T07:12:01.9075127Z tensors of size :math:`S_0 \ldots S_{N-1}``, then the 2025-07-17T07:12:01.9075631Z output will also have :math:`N` tensors, where each tensor 2025-07-17T07:12:01.9076241Z is of shape :math:`(S_0, ..., S_{N-1})`. 2025-07-17T07:12:01.9076610Z 2025-07-17T07:12:01.9076742Z Example:: 2025-07-17T07:12:01.9076882Z 2025-07-17T07:12:01.9077053Z >>> x = torch.tensor([1, 2, 3]) 2025-07-17T07:12:01.9077407Z >>> y = torch.tensor([4, 5, 6]) 2025-07-17T07:12:01.9077728Z 2025-07-17T07:12:01.9077991Z Observe the element-wise pairings across the grid, (1, 4), 2025-07-17T07:12:01.9078597Z (1, 5), ..., (3, 6). This is the same thing as the 2025-07-17T07:12:01.9079083Z cartesian product. 2025-07-17T07:12:01.9079801Z >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij') 2025-07-17T07:12:01.9080333Z >>> grid_x 2025-07-17T07:12:01.9080687Z tensor([[1, 1, 1], 2025-07-17T07:12:01.9112533Z [2, 2, 2], 2025-07-17T07:12:01.9113143Z [3, 3, 3]]) 2025-07-17T07:12:01.9113550Z >>> grid_y 2025-07-17T07:12:01.9113926Z tensor([[4, 5, 6], 2025-07-17T07:12:01.9114326Z [4, 5, 6], 2025-07-17T07:12:01.9114746Z [4, 5, 6]]) 2025-07-17T07:12:01.9115043Z 2025-07-17T07:12:01.9115576Z This correspondence can be seen when these grids are 2025-07-17T07:12:01.9116238Z stacked properly. 2025-07-17T07:12:01.9116868Z >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))), 2025-07-17T07:12:01.9117623Z ... torch.cartesian_prod(x, y)) 2025-07-17T07:12:01.9118137Z True 2025-07-17T07:12:01.9118350Z 2025-07-17T07:12:01.9118621Z `torch.meshgrid` is commonly used to produce a grid for 2025-07-17T07:12:01.9119221Z plotting. 2025-07-17T07:12:01.9119662Z >>> # xdoctest: +REQUIRES(module:matplotlib) 2025-07-17T07:12:01.9120273Z >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW) 2025-07-17T07:12:01.9120884Z >>> import matplotlib.pyplot as plt 2025-07-17T07:12:01.9121506Z >>> xs = torch.linspace(-5, 5, steps=100) 2025-07-17T07:12:01.9122141Z >>> ys = torch.linspace(-5, 5, steps=100) 2025-07-17T07:12:01.9122733Z >>> x, y = torch.meshgrid(xs, ys, indexing='xy') 2025-07-17T07:12:01.9123326Z >>> z = torch.sin(torch.sqrt(x * x + y * y)) 2025-07-17T07:12:01.9123893Z >>> ax = plt.axes(projection='3d') 2025-07-17T07:12:01.9124518Z >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy()) 2025-07-17T07:12:01.9125084Z >>> plt.show() 2025-07-17T07:12:01.9125355Z 2025-07-17T07:12:01.9125599Z .. image:: ../_static/img/meshgrid.png 2025-07-17T07:12:01.9126109Z :width: 512 2025-07-17T07:12:01.9126368Z 2025-07-17T07:12:01.9126496Z 2025-07-17T07:12:01.9127103Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:01.9127544Z 2025-07-17T07:12:01.9128098Z msg = Cannot scrape callname=_unique_impl in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=842. 2025-07-17T07:12:01.9128967Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:01.9129738Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor] 2025-07-17T07:12:01.9130231Z 2025-07-17T07:12:01.9130382Z Returns the unique elements of the input tensor. 2025-07-17T07:12:01.9130652Z 2025-07-17T07:12:01.9130951Z .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that 2025-07-17T07:12:01.9131575Z this function also eliminates non-consecutive duplicate values. 2025-07-17T07:12:01.9131899Z 2025-07-17T07:12:01.9132138Z .. note:: Currently in the CUDA implementation and the CPU implementation, 2025-07-17T07:12:01.9132767Z `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument. 2025-07-17T07:12:01.9133460Z Sorting could be slow, so if your input tensor is already sorted, it is recommended to use 2025-07-17T07:12:01.9134041Z :func:`torch.unique_consecutive` which avoids the sorting. 2025-07-17T07:12:01.9134333Z 2025-07-17T07:12:01.9134430Z Args: 2025-07-17T07:12:01.9134659Z input (Tensor): the input tensor 2025-07-17T07:12:01.9135096Z sorted (bool): Whether to sort the unique elements in ascending order 2025-07-17T07:12:01.9135541Z before returning as output. 2025-07-17T07:12:01.9135958Z return_inverse (bool): Whether to also return the indices for where 2025-07-17T07:12:01.9136508Z elements in the original input ended up in the returned unique list. 2025-07-17T07:12:01.9137207Z return_counts (bool): Whether to also return the counts for each unique 2025-07-17T07:12:01.9137643Z element. 2025-07-17T07:12:01.9137994Z dim (int, optional): the dimension to operate upon. If ``None``, the 2025-07-17T07:12:01.9138529Z unique of the flattened input is returned. Otherwise, each of the 2025-07-17T07:12:01.9139135Z tensors indexed by the given dimension is treated as one of the 2025-07-17T07:12:01.9139661Z elements to apply the unique operation upon. See examples for more 2025-07-17T07:12:01.9140187Z details. Default: ``None`` 2025-07-17T07:12:01.9140408Z 2025-07-17T07:12:01.9140493Z Returns: 2025-07-17T07:12:01.9140908Z (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing 2025-07-17T07:12:01.9141309Z 2025-07-17T07:12:01.9141500Z - **output** (*Tensor*): the output list of unique scalar elements. 2025-07-17T07:12:01.9141959Z - **inverse_indices** (*Tensor*): (optional) if 2025-07-17T07:12:01.9142397Z :attr:`return_inverse` is True, there will be an additional 2025-07-17T07:12:01.9142889Z returned tensor (same shape as input) representing the indices 2025-07-17T07:12:01.9143407Z for where elements in the original input map to in the output; 2025-07-17T07:12:01.9143908Z otherwise, this function will only return a single tensor. 2025-07-17T07:12:01.9144340Z - **counts** (*Tensor*): (optional) if 2025-07-17T07:12:01.9144742Z :attr:`return_counts` is True, there will be an additional 2025-07-17T07:12:01.9145222Z returned tensor (same shape as output or output.size(dim), 2025-07-17T07:12:01.9145718Z if dim was specified) representing the number of occurrences 2025-07-17T07:12:01.9146127Z for each unique value or tensor. 2025-07-17T07:12:01.9146362Z 2025-07-17T07:12:01.9146457Z Example:: 2025-07-17T07:12:01.9146598Z 2025-07-17T07:12:01.9146812Z >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long)) 2025-07-17T07:12:01.9147235Z >>> output 2025-07-17T07:12:01.9147461Z tensor([1, 2, 3]) 2025-07-17T07:12:01.9147638Z 2025-07-17T07:12:01.9147766Z >>> output, inverse_indices = torch.unique( 2025-07-17T07:12:01.9148245Z ... torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True) 2025-07-17T07:12:01.9148677Z >>> output 2025-07-17T07:12:01.9148912Z tensor([1, 2, 3]) 2025-07-17T07:12:01.9149181Z >>> inverse_indices 2025-07-17T07:12:01.9149450Z tensor([0, 2, 1, 2]) 2025-07-17T07:12:01.9149619Z 2025-07-17T07:12:01.9149745Z >>> output, inverse_indices = torch.unique( 2025-07-17T07:12:01.9150223Z ... torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True) 2025-07-17T07:12:01.9150664Z >>> output 2025-07-17T07:12:01.9150893Z tensor([1, 2, 3]) 2025-07-17T07:12:01.9151153Z >>> inverse_indices 2025-07-17T07:12:01.9151418Z tensor([[0, 2], 2025-07-17T07:12:01.9151648Z [1, 2]]) 2025-07-17T07:12:01.9151813Z 2025-07-17T07:12:01.9151911Z >>> a = torch.tensor([ 2025-07-17T07:12:01.9152179Z ... [ 2025-07-17T07:12:01.9152401Z ... [1, 1, 0, 0], 2025-07-17T07:12:01.9152679Z ... [1, 1, 0, 0], 2025-07-17T07:12:01.9152956Z ... [0, 0, 1, 1], 2025-07-17T07:12:01.9153227Z ... ], 2025-07-17T07:12:01.9153444Z ... [ 2025-07-17T07:12:01.9153676Z ... [0, 0, 1, 1], 2025-07-17T07:12:01.9153949Z ... [0, 0, 1, 1], 2025-07-17T07:12:01.9154209Z ... [1, 1, 1, 1], 2025-07-17T07:12:01.9154475Z ... ], 2025-07-17T07:12:01.9154698Z ... [ 2025-07-17T07:12:01.9154912Z ... [1, 1, 0, 0], 2025-07-17T07:12:01.9155185Z ... [1, 1, 0, 0], 2025-07-17T07:12:01.9155531Z ... [0, 0, 1, 1], 2025-07-17T07:12:01.9155790Z ... ], 2025-07-17T07:12:01.9156018Z ... ]) 2025-07-17T07:12:01.9156144Z 2025-07-17T07:12:01.9156376Z >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]` 2025-07-17T07:12:01.9156919Z >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match 2025-07-17T07:12:01.9157367Z >>> # each other, so one of them will be removed. 2025-07-17T07:12:01.9157720Z >>> (a[0, :, :] == a[2, :, :]).all() 2025-07-17T07:12:01.9158085Z tensor(True) 2025-07-17T07:12:01.9158348Z >>> a_unique_dim0 = torch.unique(a, dim=0) 2025-07-17T07:12:01.9158682Z >>> a_unique_dim0 2025-07-17T07:12:01.9158950Z tensor([[[0, 0, 1, 1], 2025-07-17T07:12:01.9159209Z [0, 0, 1, 1], 2025-07-17T07:12:01.9159474Z [1, 1, 1, 1]], 2025-07-17T07:12:01.9159745Z [[1, 1, 0, 0], 2025-07-17T07:12:01.9160001Z [1, 1, 0, 0], 2025-07-17T07:12:01.9160278Z [0, 0, 1, 1]]]) 2025-07-17T07:12:01.9160453Z 2025-07-17T07:12:01.9160675Z >>> # Notice which sub-tensors from `a` match with the sub-tensors from 2025-07-17T07:12:01.9161088Z >>> # `a_unique_dim0`: 2025-07-17T07:12:01.9161394Z >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all() 2025-07-17T07:12:01.9161719Z tensor(True) 2025-07-17T07:12:01.9161978Z >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all() 2025-07-17T07:12:01.9162294Z tensor(True) 2025-07-17T07:12:01.9162437Z 2025-07-17T07:12:01.9162649Z >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are 2025-07-17T07:12:01.9163150Z >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of 2025-07-17T07:12:01.9163542Z >>> # them will be removed. 2025-07-17T07:12:01.9163842Z >>> (a[:, 0, :] == a[:, 1, :]).all() 2025-07-17T07:12:01.9164140Z tensor(True) 2025-07-17T07:12:01.9164382Z >>> torch.unique(a, dim=1) 2025-07-17T07:12:01.9164674Z tensor([[[0, 0, 1, 1], 2025-07-17T07:12:01.9164937Z [1, 1, 0, 0]], 2025-07-17T07:12:01.9165190Z [[1, 1, 1, 1], 2025-07-17T07:12:01.9165449Z [0, 0, 1, 1]], 2025-07-17T07:12:01.9165711Z [[0, 0, 1, 1], 2025-07-17T07:12:01.9165958Z [1, 1, 0, 0]]]) 2025-07-17T07:12:01.9166141Z 2025-07-17T07:12:01.9166342Z >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared. 2025-07-17T07:12:01.9166830Z >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and 2025-07-17T07:12:01.9167271Z >>> # `a[:, :, 3]` match each other as well. So in this case, two of the 2025-07-17T07:12:01.9167656Z >>> # sub-tensors will be removed. 2025-07-17T07:12:01.9167973Z >>> (a[:, :, 0] == a[:, :, 1]).all() 2025-07-17T07:12:01.9168269Z tensor(True) 2025-07-17T07:12:01.9168500Z >>> (a[:, :, 2] == a[:, :, 3]).all() 2025-07-17T07:12:01.9168796Z tensor(True) 2025-07-17T07:12:01.9169047Z >>> torch.unique(a, dim=2) 2025-07-17T07:12:01.9169318Z tensor([[[0, 1], 2025-07-17T07:12:01.9169751Z [0, 1], 2025-07-17T07:12:01.9169990Z [1, 0]], 2025-07-17T07:12:01.9170234Z [[1, 0], 2025-07-17T07:12:01.9170459Z [1, 0], 2025-07-17T07:12:01.9170698Z [1, 1]], 2025-07-17T07:12:01.9170935Z [[0, 1], 2025-07-17T07:12:01.9171157Z [0, 1], 2025-07-17T07:12:01.9171399Z [1, 0]]]) 2025-07-17T07:12:01.9171634Z 2025-07-17T07:12:01.9171983Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:01.9172358Z 2025-07-17T07:12:01.9242165Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=560. 2025-07-17T07:12:01.9242973Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:01.9243520Z 2025-07-17T07:12:01.9243689Z Load a model from a github repo or a local directory. 2025-07-17T07:12:01.9243951Z 2025-07-17T07:12:01.9244174Z Note: Loading a model is the typical use case, but this can also be used to 2025-07-17T07:12:01.9244791Z for loading other objects such as tokenizers, loss functions, etc. 2025-07-17T07:12:01.9245122Z 2025-07-17T07:12:01.9245358Z If ``source`` is 'github', ``repo_or_dir`` is expected to be 2025-07-17T07:12:01.9245803Z of the form ``repo_owner/repo_name[:ref]`` with an optional 2025-07-17T07:12:01.9246312Z ref (a tag or a branch). 2025-07-17T07:12:01.9246487Z 2025-07-17T07:12:01.9246649Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a 2025-07-17T07:12:01.9247033Z path to a local directory. 2025-07-17T07:12:01.9247203Z 2025-07-17T07:12:01.9247280Z Args: 2025-07-17T07:12:01.9247524Z repo_or_dir (str): If ``source`` is 'github', 2025-07-17T07:12:01.9248047Z this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with 2025-07-17T07:12:01.9248756Z an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified, 2025-07-17T07:12:01.9249416Z the default branch is assumed to be ``main`` if it exists, and otherwise ``master``. 2025-07-17T07:12:01.9250037Z If ``source`` is 'local' then it should be a path to a local directory. 2025-07-17T07:12:01.9250589Z model (str): the name of a callable (entrypoint) defined in the 2025-07-17T07:12:01.9250990Z repo/dir's ``hubconf.py``. 2025-07-17T07:12:01.9251384Z *args (optional): the corresponding args for callable ``model``. 2025-07-17T07:12:01.9251869Z source (str, optional): 'github' or 'local'. Specifies how 2025-07-17T07:12:01.9252323Z ``repo_or_dir`` is to be interpreted. Default is 'github'. 2025-07-17T07:12:01.9252803Z trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``. 2025-07-17T07:12:01.9253352Z This parameter was introduced in v1.12 and helps ensuring that users 2025-07-17T07:12:01.9253826Z only run code from repos that they trust. 2025-07-17T07:12:01.9254062Z 2025-07-17T07:12:01.9254312Z - If ``False``, a prompt will ask the user whether the repo should 2025-07-17T07:12:01.9254733Z be trusted. 2025-07-17T07:12:01.9255074Z - If ``True``, the repo will be added to the trusted list and loaded 2025-07-17T07:12:01.9255559Z without requiring explicit confirmation. 2025-07-17T07:12:01.9255964Z - If ``"check"``, the repo will be checked against the list of 2025-07-17T07:12:01.9256457Z trusted repos in the cache. If it is not present in that list, the 2025-07-17T07:12:01.9256975Z behaviour will fall back onto the ``trust_repo=False`` option. 2025-07-17T07:12:01.9257456Z - If ``None``: this will raise a warning, inviting the user to set 2025-07-17T07:12:01.9257943Z ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This 2025-07-17T07:12:01.9258460Z is only present for backward compatibility and will be removed in 2025-07-17T07:12:01.9258898Z v2.0. 2025-07-17T07:12:01.9259028Z 2025-07-17T07:12:01.9259311Z Default is ``None`` and will eventually change to ``"check"`` in v2.0. 2025-07-17T07:12:01.9259830Z force_reload (bool, optional): whether to force a fresh download of 2025-07-17T07:12:01.9260345Z the github repo unconditionally. Does not have any effect if 2025-07-17T07:12:01.9260766Z ``source = 'local'``. Default is ``False``. 2025-07-17T07:12:01.9261196Z verbose (bool, optional): If ``False``, mute messages about hitting 2025-07-17T07:12:01.9261716Z local caches. Note that the message about first download cannot be 2025-07-17T07:12:01.9262204Z muted. Does not have any effect if ``source = 'local'``. 2025-07-17T07:12:01.9262576Z Default is ``True``. 2025-07-17T07:12:01.9263032Z skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit 2025-07-17T07:12:01.9263837Z specified by the ``github`` argument properly belongs to the repo owner. This will make 2025-07-17T07:12:01.9264507Z requests to the GitHub API; you can specify a non-default GitHub token by setting the 2025-07-17T07:12:01.9265072Z ``GITHUB_TOKEN`` environment variable. Default is ``False``. 2025-07-17T07:12:01.9265570Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2025-07-17T07:12:01.9265911Z 2025-07-17T07:12:01.9265990Z Returns: 2025-07-17T07:12:01.9266349Z The output of the ``model`` callable when called with the given 2025-07-17T07:12:01.9266732Z ``*args`` and ``**kwargs``. 2025-07-17T07:12:01.9266919Z 2025-07-17T07:12:01.9267000Z Example: 2025-07-17T07:12:01.9267252Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-07-17T07:12:01.9267577Z >>> # from a github repo 2025-07-17T07:12:01.9267852Z >>> repo = "pytorch/vision" 2025-07-17T07:12:01.9268131Z >>> model = torch.hub.load( 2025-07-17T07:12:01.9268502Z ... repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1" 2025-07-17T07:12:01.9268874Z ... ) 2025-07-17T07:12:01.9269092Z >>> # from a local directory 2025-07-17T07:12:01.9269408Z >>> path = "/some/local/path/pytorch/vision" 2025-07-17T07:12:01.9269914Z >>> # xdoctest: +SKIP 2025-07-17T07:12:01.9270325Z >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT") 2025-07-17T07:12:01.9270685Z 2025-07-17T07:12:01.9270947Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:01.9271315Z 2025-07-17T07:12:01.9271756Z msg = Cannot scrape callname=_load_local in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=652. 2025-07-17T07:12:01.9272578Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:01.9272968Z 2025-07-17T07:12:01.9273139Z Load a model from a local directory with a ``hubconf.py``. 2025-07-17T07:12:01.9273427Z 2025-07-17T07:12:01.9273520Z Args: 2025-07-17T07:12:01.9273812Z hubconf_dir (str): path to a local directory that contains a 2025-07-17T07:12:01.9274210Z ``hubconf.py``. 2025-07-17T07:12:01.9274556Z model (str): name of an entrypoint defined in the directory's 2025-07-17T07:12:01.9274953Z ``hubconf.py``. 2025-07-17T07:12:01.9275298Z *args (optional): the corresponding args for callable ``model``. 2025-07-17T07:12:01.9275821Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2025-07-17T07:12:01.9276150Z 2025-07-17T07:12:01.9276250Z Returns: 2025-07-17T07:12:01.9276523Z a single model with corresponding pretrained weights. 2025-07-17T07:12:01.9276807Z 2025-07-17T07:12:01.9276888Z Example: 2025-07-17T07:12:01.9277126Z >>> # xdoctest: +SKIP("stub local path") 2025-07-17T07:12:01.9277468Z >>> path = "/some/local/path/pytorch/vision" 2025-07-17T07:12:01.9277804Z >>> model = _load_local( 2025-07-17T07:12:01.9278071Z ... path, 2025-07-17T07:12:01.9278293Z ... "resnet50", 2025-07-17T07:12:01.9278589Z ... weights="ResNet50_Weights.IMAGENET1K_V1", 2025-07-17T07:12:01.9278924Z ... ) 2025-07-17T07:12:01.9279041Z 2025-07-17T07:12:01.9279298Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:01.9279663Z 2025-07-17T07:12:01.9280138Z msg = Cannot scrape callname=download_url_to_file in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=691. 2025-07-17T07:12:01.9280994Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:01.9281519Z Download object at the given URL to a local path. 2025-07-17T07:12:01.9281770Z 2025-07-17T07:12:01.9281868Z Args: 2025-07-17T07:12:01.9282101Z url (str): URL of the object to download 2025-07-17T07:12:01.9282563Z dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file`` 2025-07-17T07:12:01.9283247Z hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``. 2025-07-17T07:12:01.9283908Z Default: None 2025-07-17T07:12:01.9284326Z progress (bool, optional): whether or not to display a progress bar to stderr 2025-07-17T07:12:01.9284793Z Default: True 2025-07-17T07:12:01.9284951Z 2025-07-17T07:12:01.9285050Z Example: 2025-07-17T07:12:01.9285302Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-07-17T07:12:01.9285668Z >>> # xdoctest: +REQUIRES(POSIX) 2025-07-17T07:12:01.9286005Z >>> torch.hub.download_url_to_file( 2025-07-17T07:12:01.9286516Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth", 2025-07-17T07:12:01.9286964Z ... "/tmp/temporary_file", 2025-07-17T07:12:01.9287263Z ... ) 2025-07-17T07:12:01.9287389Z 2025-07-17T07:12:01.9287468Z 2025-07-17T07:12:01.9287834Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:01.9288218Z 2025-07-17T07:12:01.9288710Z msg = Cannot scrape callname=load_state_dict_from_url in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=816. 2025-07-17T07:12:01.9289578Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:01.9290092Z Loads the Torch serialized object at the given URL. 2025-07-17T07:12:01.9290361Z 2025-07-17T07:12:01.9290537Z If downloaded file is a zip file, it will be automatically 2025-07-17T07:12:01.9290924Z decompressed. 2025-07-17T07:12:01.9291062Z 2025-07-17T07:12:01.9291288Z If the object is already present in `model_dir`, it's deserialized and 2025-07-17T07:12:01.9291694Z returned. 2025-07-17T07:12:01.9292034Z The default value of ``model_dir`` is ``/checkpoints`` where 2025-07-17T07:12:01.9292560Z ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`. 2025-07-17T07:12:01.9292867Z 2025-07-17T07:12:01.9292949Z Args: 2025-07-17T07:12:01.9293194Z url (str): URL of the object to download 2025-07-17T07:12:01.9293626Z model_dir (str, optional): directory in which to save the object 2025-07-17T07:12:01.9294276Z map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load) 2025-07-17T07:12:01.9294993Z progress (bool, optional): whether or not to display a progress bar to stderr. 2025-07-17T07:12:01.9295462Z Default: True 2025-07-17T07:12:01.9295951Z check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention 2025-07-17T07:12:01.9296604Z ``filename-.ext`` where ```` is the first eight or more 2025-07-17T07:12:01.9297166Z digits of the SHA256 hash of the contents of the file. The hash is used to 2025-07-17T07:12:01.9297705Z ensure unique names and to verify the contents of the file. 2025-07-17T07:12:01.9298102Z Default: False 2025-07-17T07:12:01.9298596Z file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set. 2025-07-17T07:12:01.9299459Z weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects. 2025-07-17T07:12:01.9300151Z Recommended for untrusted sources. See :func:`~torch.load` for more details. 2025-07-17T07:12:01.9300521Z 2025-07-17T07:12:01.9300604Z Example: 2025-07-17T07:12:01.9300876Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-07-17T07:12:01.9301270Z >>> state_dict = torch.hub.load_state_dict_from_url( 2025-07-17T07:12:01.9301759Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth" 2025-07-17T07:12:01.9302166Z ... ) 2025-07-17T07:12:01.9302305Z 2025-07-17T07:12:01.9302387Z 2025-07-17T07:12:01.9302755Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:01.9303121Z 2025-07-17T07:12:01.9335156Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=374. 2025-07-17T07:12:01.9336105Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:01.9336709Z Registers the function implementation as the fallback for the given key. 2025-07-17T07:12:01.9337064Z 2025-07-17T07:12:01.9337290Z This function only works for a library with global namespace ("_"). 2025-07-17T07:12:01.9337622Z 2025-07-17T07:12:01.9337717Z Args: 2025-07-17T07:12:01.9338169Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-07-17T07:12:01.9338676Z to register a fallthrough. 2025-07-17T07:12:01.9339294Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-07-17T07:12:01.9339894Z the dispatch key that the library was created with. 2025-07-17T07:12:01.9340555Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-07-17T07:12:01.9341375Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-07-17T07:12:01.9341816Z 2025-07-17T07:12:01.9341935Z Example:: 2025-07-17T07:12:01.9342073Z 2025-07-17T07:12:01.9342180Z >>> my_lib = Library("_", "IMPL") 2025-07-17T07:12:01.9342537Z >>> def fallback_kernel(op, *args, **kwargs): 2025-07-17T07:12:01.9342912Z >>> # Handle all autocast ops generically 2025-07-17T07:12:01.9343258Z >>> # ... 2025-07-17T07:12:01.9343549Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-07-17T07:12:01.9343889Z 2025-07-17T07:12:01.9344637Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-07-17T07:12:01.9345369Z 2025-07-17T07:12:01.9345501Z my_lib.fallback(fallback_kernel, "Autocast") 2025-07-17T07:12:01.9345825Z ^ 2025-07-17T07:12:01.9415915Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=933. 2025-07-17T07:12:01.9416848Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:01.9417429Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-07-17T07:12:01.9417780Z 2025-07-17T07:12:01.9417956Z Also sometimes known as a "meta kernel", "abstract impl". 2025-07-17T07:12:01.9418259Z 2025-07-17T07:12:01.9418512Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-07-17T07:12:01.9419143Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-07-17T07:12:01.9419712Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-07-17T07:12:01.9420233Z what the properties of the output Tensors are. 2025-07-17T07:12:01.9420501Z 2025-07-17T07:12:01.9420733Z The FakeTensor implementation has the same signature as the operator. 2025-07-17T07:12:01.9421288Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-07-17T07:12:01.9421827Z implementation, assume that all Tensor inputs to the operator are 2025-07-17T07:12:01.9422352Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-07-17T07:12:01.9422874Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-07-17T07:12:01.9423431Z The FakeTensor implementation must consist of only PyTorch operations 2025-07-17T07:12:01.9423963Z (and may not directly access the storage or data of any input or 2025-07-17T07:12:01.9424372Z intermediate Tensors). 2025-07-17T07:12:01.9424546Z 2025-07-17T07:12:01.9424702Z This API may be used as a decorator (see examples). 2025-07-17T07:12:01.9424961Z 2025-07-17T07:12:01.9425107Z For a detailed guide on custom ops, please see 2025-07-17T07:12:01.9425727Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-07-17T07:12:01.9426167Z 2025-07-17T07:12:01.9426278Z Args: 2025-07-17T07:12:01.9426817Z op_name: Operator name (along with the overload) or OpOverload object. 2025-07-17T07:12:01.9427355Z func: Fake tensor implementation. 2025-07-17T07:12:01.9427839Z lib (Optional[Library]): Library to register the fake tensor to. 2025-07-17T07:12:01.9428338Z allow_override: Flag controlling if we want to override an 2025-07-17T07:12:01.9428932Z existing registered fake impl. This is by default off, 2025-07-17T07:12:01.9429388Z and will error you're trying to register a fake impl to 2025-07-17T07:12:01.9429854Z an operator that already has a fake impl. This also only 2025-07-17T07:12:01.9430313Z applies if the custom operator was not created via 2025-07-17T07:12:01.9430767Z torch.library.custom_op, as overriding and existing fake 2025-07-17T07:12:01.9431198Z impl is already allowed. 2025-07-17T07:12:01.9431433Z 2025-07-17T07:12:01.9431520Z Examples: 2025-07-17T07:12:01.9431749Z >>> import torch 2025-07-17T07:12:01.9432004Z >>> import numpy as np 2025-07-17T07:12:01.9432291Z >>> from torch import Tensor 2025-07-17T07:12:01.9432582Z >>> 2025-07-17T07:12:01.9432884Z >>> # Example 1: an operator without data-dependent output shape 2025-07-17T07:12:01.9433427Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-07-17T07:12:01.9433983Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-07-17T07:12:01.9434488Z >>> raise NotImplementedError("Implementation goes here") 2025-07-17T07:12:01.9434867Z >>> 2025-07-17T07:12:01.9435160Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-07-17T07:12:01.9435547Z >>> def _(x, weight, bias): 2025-07-17T07:12:01.9435840Z >>> assert x.dim() == 2 2025-07-17T07:12:01.9436145Z >>> assert weight.dim() == 2 2025-07-17T07:12:01.9436465Z >>> assert bias.dim() == 1 2025-07-17T07:12:01.9436787Z >>> assert x.shape[1] == weight.shape[1] 2025-07-17T07:12:01.9437150Z >>> assert weight.shape[0] == bias.shape[0] 2025-07-17T07:12:01.9437513Z >>> assert x.device == weight.device 2025-07-17T07:12:01.9437814Z >>> 2025-07-17T07:12:01.9438050Z >>> return (x @ weight.t()) + bias 2025-07-17T07:12:01.9438357Z >>> 2025-07-17T07:12:01.9438641Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-07-17T07:12:01.9439032Z >>> x = torch.randn(2, 3) 2025-07-17T07:12:01.9439337Z >>> w = torch.randn(3, 3) 2025-07-17T07:12:01.9439643Z >>> b = torch.randn(3) 2025-07-17T07:12:01.9439965Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-07-17T07:12:01.9440302Z >>> 2025-07-17T07:12:01.9440525Z >>> assert y.shape == (2, 3) 2025-07-17T07:12:01.9440796Z >>> 2025-07-17T07:12:01.9441093Z >>> # Example 2: an operator with data-dependent output shape 2025-07-17T07:12:01.9441599Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-07-17T07:12:01.9442056Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-07-17T07:12:01.9442404Z >>> x_np = x.numpy(force=True) 2025-07-17T07:12:01.9442754Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-07-17T07:12:01.9443137Z >>> return torch.tensor(res, device=x.device) 2025-07-17T07:12:01.9443454Z >>> 2025-07-17T07:12:01.9443747Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-07-17T07:12:01.9444120Z >>> def _(x): 2025-07-17T07:12:01.9444410Z >>> # Number of nonzero-elements is data-dependent. 2025-07-17T07:12:01.9444823Z >>> # Since we cannot peek at the data in an fake impl, 2025-07-17T07:12:01.9445335Z >>> # we use the ctx object to construct a new symint that 2025-07-17T07:12:01.9445739Z >>> # represents the data-dependent size. 2025-07-17T07:12:01.9446087Z >>> ctx = torch.library.get_ctx() 2025-07-17T07:12:01.9446429Z >>> nnz = ctx.new_dynamic_size() 2025-07-17T07:12:01.9446758Z >>> shape = [nnz, x.dim()] 2025-07-17T07:12:01.9447107Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-07-17T07:12:01.9447471Z >>> return result 2025-07-17T07:12:01.9447741Z >>> 2025-07-17T07:12:01.9448104Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-07-17T07:12:01.9448472Z >>> 2025-07-17T07:12:01.9448712Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-07-17T07:12:01.9449180Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-07-17T07:12:01.9449645Z >>> trace.print_readable() 2025-07-17T07:12:01.9449938Z >>> 2025-07-17T07:12:01.9450297Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-07-17T07:12:01.9450636Z 2025-07-17T07:12:01.9450718Z 2025-07-17T07:12:01.9451363Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-07-17T07:12:01.9452010Z 2025-07-17T07:12:01.9452093Z _._ = None 2025-07-17T07:12:01.9452298Z ^ 2025-07-17T07:12:01.9452946Z msg = Cannot scrape callname=register_autograd in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1068. 2025-07-17T07:12:01.9453812Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:01.9454336Z Register a backward formula for this custom op. 2025-07-17T07:12:01.9454582Z 2025-07-17T07:12:01.9454797Z In order for an operator to work with autograd, you need to register 2025-07-17T07:12:01.9455214Z a backward formula: 2025-07-17T07:12:01.9455569Z 1. You must tell us how to compute gradients during the backward pass 2025-07-17T07:12:01.9456010Z by providing us a "backward" function. 2025-07-17T07:12:01.9456450Z 2. If you need any values from the forward to compute gradients, you can 2025-07-17T07:12:01.9456914Z use `setup_context` to save values for backward. 2025-07-17T07:12:01.9457172Z 2025-07-17T07:12:01.9457395Z ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``: 2025-07-17T07:12:01.9457928Z - ``grads`` is one or more gradients. The number of gradients matches 2025-07-17T07:12:01.9458363Z the number of outputs of the operator. 2025-07-17T07:12:01.9458790Z The ``ctx`` object is `the same ctx object `_ used by 2025-07-17T07:12:01.9459453Z :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the 2025-07-17T07:12:01.9459974Z same as :meth:`torch.autograd.Function.backward`. 2025-07-17T07:12:01.9460237Z 2025-07-17T07:12:01.9460446Z ``setup_context(ctx, inputs, output)`` runs during the forward pass. 2025-07-17T07:12:01.9461013Z Please save quantities needed for backward onto the ``ctx`` object via 2025-07-17T07:12:01.9461594Z either :meth:`torch.autograd.function.FunctionCtx.save_for_backward` 2025-07-17T07:12:01.9462152Z or assigning them as attributes of ``ctx``. If your custom op has 2025-07-17T07:12:01.9462669Z kwarg-only arguments, we expect the signature of ``setup_context`` 2025-07-17T07:12:01.9463187Z to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``. 2025-07-17T07:12:01.9463493Z 2025-07-17T07:12:01.9463724Z Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is, 2025-07-17T07:12:01.9464272Z they may not directly access :meth:`torch.Tensor.data_ptr` and they must 2025-07-17T07:12:01.9464841Z not depend on or mutate global state. If you need a non-traceable backward, 2025-07-17T07:12:01.9465416Z you can make it a separate custom_op that you call inside ``backward_fn``. 2025-07-17T07:12:01.9465838Z 2025-07-17T07:12:01.9466067Z If you need different autograd behavior on different devices, then we 2025-07-17T07:12:01.9466623Z recommend creating two different custom operators, one for each device 2025-07-17T07:12:01.9467200Z that needs different behavior, and switching between them at runtime. 2025-07-17T07:12:01.9467539Z 2025-07-17T07:12:01.9467641Z Examples: 2025-07-17T07:12:01.9467876Z >>> import torch 2025-07-17T07:12:01.9468137Z >>> import numpy as np 2025-07-17T07:12:01.9468432Z >>> from torch import Tensor 2025-07-17T07:12:01.9468720Z >>> 2025-07-17T07:12:01.9469093Z >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=()) 2025-07-17T07:12:01.9469689Z >>> def numpy_sin(x: Tensor) -> Tensor: 2025-07-17T07:12:01.9470028Z >>> x_np = x.cpu().numpy() 2025-07-17T07:12:01.9470323Z >>> y_np = np.sin(x_np) 2025-07-17T07:12:01.9470680Z >>> return torch.from_numpy(y_np).to(device=x.device) 2025-07-17T07:12:01.9471044Z >>> 2025-07-17T07:12:01.9471307Z >>> def setup_context(ctx, inputs, output) -> Tensor: 2025-07-17T07:12:01.9471732Z >>> x, = inputs 2025-07-17T07:12:01.9472164Z >>> ctx.save_for_backward(x) 2025-07-17T07:12:01.9472641Z >>> 2025-07-17T07:12:01.9472856Z >>> def backward(ctx, grad): 2025-07-17T07:12:01.9473219Z >>> x, = ctx.saved_tensors 2025-07-17T07:12:01.9473710Z >>> return grad * x.cos() 2025-07-17T07:12:01.9474255Z >>> 2025-07-17T07:12:01.9474532Z >>> torch.library.register_autograd( 2025-07-17T07:12:01.9474953Z ... "mylib::numpy_sin", backward, setup_context=setup_context 2025-07-17T07:12:01.9475318Z ... ) 2025-07-17T07:12:01.9475531Z >>> 2025-07-17T07:12:01.9475773Z >>> x = torch.randn(3, requires_grad=True) 2025-07-17T07:12:01.9476098Z >>> y = numpy_sin(x) 2025-07-17T07:12:01.9476446Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2025-07-17T07:12:01.9476859Z >>> assert torch.allclose(grad_x, x.cos()) 2025-07-17T07:12:01.9477168Z >>> 2025-07-17T07:12:01.9477406Z >>> # Example with a keyword-only arg 2025-07-17T07:12:01.9477832Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2025-07-17T07:12:01.9478302Z >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor: 2025-07-17T07:12:01.9478660Z >>> x_np = x.cpu().numpy() 2025-07-17T07:12:01.9478963Z >>> y_np = x_np * val 2025-07-17T07:12:01.9479316Z >>> return torch.from_numpy(y_np).to(device=x.device) 2025-07-17T07:12:01.9479660Z >>> 2025-07-17T07:12:01.9480010Z >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor: 2025-07-17T07:12:01.9480487Z >>> ctx.val = keyword_only_inputs["val"] 2025-07-17T07:12:01.9480797Z >>> 2025-07-17T07:12:01.9481021Z >>> def backward(ctx, grad): 2025-07-17T07:12:01.9481328Z >>> return grad * ctx.val 2025-07-17T07:12:01.9481617Z >>> 2025-07-17T07:12:01.9481845Z >>> torch.library.register_autograd( 2025-07-17T07:12:01.9482249Z ... "mylib::numpy_mul", backward, setup_context=setup_context 2025-07-17T07:12:01.9482629Z ... ) 2025-07-17T07:12:01.9482824Z >>> 2025-07-17T07:12:01.9483069Z >>> x = torch.randn(3, requires_grad=True) 2025-07-17T07:12:01.9483410Z >>> y = numpy_mul(x, val=3.14) 2025-07-17T07:12:01.9483774Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2025-07-17T07:12:01.9484241Z >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14)) 2025-07-17T07:12:01.9484542Z 2025-07-17T07:12:01.9484622Z 2025-07-17T07:12:01.9484990Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:01.9485357Z 2025-07-17T07:12:01.9485861Z msg = Cannot scrape callname=opcheck in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1482. 2025-07-17T07:12:01.9486825Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:01.9487423Z Given an operator and some sample arguments, tests if the operator is 2025-07-17T07:12:01.9487861Z registered correctly. 2025-07-17T07:12:01.9488031Z 2025-07-17T07:12:01.9488237Z That is, when you use the torch.library/TORCH_LIBRARY APIs to create a 2025-07-17T07:12:01.9488810Z custom op, you specified metadata (e.g. mutability info) about the custom op 2025-07-17T07:12:01.9489403Z and these APIs require that the functions you pass them satisfy certain 2025-07-17T07:12:01.9490049Z properties (e.g. no data pointer access in the fake/meta/abstract kernel) 2025-07-17T07:12:01.9490535Z ``opcheck`` tests these metadata and properties. 2025-07-17T07:12:01.9490805Z 2025-07-17T07:12:01.9490920Z Concretely, we test the following: 2025-07-17T07:12:01.9491135Z 2025-07-17T07:12:01.9491326Z - test_schema: If the schema matches the implementation of 2025-07-17T07:12:01.9491847Z the operator. For example: if the schema specifies a Tensor is mutated, 2025-07-17T07:12:01.9492386Z then we check the implementation mutates the Tensor. If the schema 2025-07-17T07:12:01.9492900Z specifies that we return a new Tensor, then we check that the 2025-07-17T07:12:01.9493427Z implementation returns a new Tensor (instead of an existing one or 2025-07-17T07:12:01.9493856Z a view of an existing one). 2025-07-17T07:12:01.9494253Z - test_autograd_registration: If the operator supports training 2025-07-17T07:12:01.9494765Z (autograd): we check that its autograd formula is registered via 2025-07-17T07:12:01.9495290Z torch.library.register_autograd or a manual registration to one 2025-07-17T07:12:01.9495920Z or more DispatchKey::Autograd keys. Any other DispatchKey-based 2025-07-17T07:12:01.9496376Z registrations may lead to undefined behavior. 2025-07-17T07:12:01.9496808Z - test_faketensor: If the operator has a FakeTensor kernel 2025-07-17T07:12:01.9497265Z (and if it is correct). The FakeTensor kernel is necessary ( 2025-07-17T07:12:01.9497779Z but not sufficient) for the operator to work with PyTorch compilation 2025-07-17T07:12:01.9498328Z APIs (torch.compile/export/FX). We check that a FakeTensor kernel 2025-07-17T07:12:01.9498848Z (also sometimes known as a meta kernel) was registered for the 2025-07-17T07:12:01.9499439Z operator and that it is correct. This test takes the result of 2025-07-17T07:12:01.9499940Z running the operator on real tensors and the result of running 2025-07-17T07:12:01.9500450Z the operator on FakeTensors and checks that they have the same 2025-07-17T07:12:01.9500897Z Tensor metadata (sizes/strides/dtype/device/etc). 2025-07-17T07:12:01.9501363Z - test_aot_dispatch_dynamic: If the operator has correct behavior 2025-07-17T07:12:01.9501858Z with PyTorch compilation APIs (torch.compile/export/FX). 2025-07-17T07:12:01.9502366Z This checks that the outputs (and gradients, if applicable) are the 2025-07-17T07:12:01.9502836Z same under eager-mode PyTorch and torch.compile. 2025-07-17T07:12:01.9503291Z This test is a superset of ``test_faketensor`` and is an e2e test; 2025-07-17T07:12:01.9503763Z other things it tests are that the operator supports 2025-07-17T07:12:01.9504244Z functionalization and that the backward pass (if it exists) also 2025-07-17T07:12:01.9504712Z supports FakeTensor and functionalization. 2025-07-17T07:12:01.9504954Z 2025-07-17T07:12:01.9505163Z For best results, please call ``opcheck`` multiple times with a 2025-07-17T07:12:01.9505650Z representative set of inputs. If your operator supports 2025-07-17T07:12:01.9506170Z autograd, please use ``opcheck`` with inputs with ``requires_grad = True``; 2025-07-17T07:12:01.9506747Z if your operator supports multiple devices (e.g. CPU and CUDA), please 2025-07-17T07:12:01.9507246Z use ``opcheck`` with inputs on all supported devices. 2025-07-17T07:12:01.9507582Z 2025-07-17T07:12:01.9507669Z Args: 2025-07-17T07:12:01.9507975Z op: The operator. Must either be a function decorated with 2025-07-17T07:12:01.9508488Z :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket 2025-07-17T07:12:01.9509041Z found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo) 2025-07-17T07:12:01.9509473Z args: The args to the operator 2025-07-17T07:12:01.9509805Z kwargs: The kwargs to the operator 2025-07-17T07:12:01.9510271Z test_utils: Tests that we should run. Default: all of them. 2025-07-17T07:12:01.9510690Z Example: ("test_schema", "test_faketensor") 2025-07-17T07:12:01.9511127Z raise_exception: If we should raise an exception on the first 2025-07-17T07:12:01.9511601Z error. If False, we will return a dict with information 2025-07-17T07:12:01.9511985Z on if each test passed or not. 2025-07-17T07:12:01.9512449Z rtol (Optional[float]): Relative tolerance for floating point comparisons. 2025-07-17T07:12:01.9512955Z If specified ``atol`` must also be specified. 2025-07-17T07:12:01.9513394Z If omitted, default values based on the ``dtype`` are selected 2025-07-17T07:12:01.9513856Z (see the table in :func:`torch.testing.assert_close`). 2025-07-17T07:12:01.9514374Z atol (Optional[float]): Absolute tolerance for floating point comparisons. 2025-07-17T07:12:01.9514869Z If specified ``rtol`` must also be specified. 2025-07-17T07:12:01.9515300Z If omitted, default values based on the ``dtype`` are selected 2025-07-17T07:12:01.9515776Z (see the table in :func:`torch.testing.assert_close`). 2025-07-17T07:12:01.9516062Z 2025-07-17T07:12:01.9516160Z .. warning:: 2025-07-17T07:12:01.9516298Z 2025-07-17T07:12:01.9516524Z opcheck and :func:`torch.autograd.gradcheck` test different things; 2025-07-17T07:12:01.9517057Z opcheck tests if your usage of torch.library APIs is correct while 2025-07-17T07:12:01.9517600Z :func:`torch.autograd.gradcheck` tests if your autograd formula is 2025-07-17T07:12:01.9518150Z mathematically correct. Use both to test custom ops that support 2025-07-17T07:12:01.9518591Z gradient computation. 2025-07-17T07:12:01.9518772Z 2025-07-17T07:12:01.9518856Z Example: 2025-07-17T07:12:01.9518992Z 2025-07-17T07:12:01.9519124Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-07-17T07:12:01.9519576Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2025-07-17T07:12:01.9520026Z >>> def numpy_mul(x: Tensor, y: float) -> Tensor: 2025-07-17T07:12:01.9520388Z >>> x_np = x.numpy(force=True) 2025-07-17T07:12:01.9520701Z >>> z_np = x_np * y 2025-07-17T07:12:01.9521007Z >>> return torch.from_numpy(z_np).to(x.device) 2025-07-17T07:12:01.9521337Z >>> 2025-07-17T07:12:01.9521569Z >>> @numpy_mul.register_fake 2025-07-17T07:12:01.9521872Z >>> def _(x, y): 2025-07-17T07:12:01.9522137Z >>> return torch.empty_like(x) 2025-07-17T07:12:01.9522444Z >>> 2025-07-17T07:12:01.9522695Z >>> def setup_context(ctx, inputs, output): 2025-07-17T07:12:01.9523016Z >>> y, = inputs 2025-07-17T07:12:01.9523274Z >>> ctx.y = y 2025-07-17T07:12:01.9523518Z >>> 2025-07-17T07:12:01.9523729Z >>> def backward(ctx, grad): 2025-07-17T07:12:01.9524038Z >>> return grad * ctx.y, None 2025-07-17T07:12:01.9524334Z >>> 2025-07-17T07:12:01.9524667Z >>> numpy_mul.register_autograd(backward, setup_context=setup_context) 2025-07-17T07:12:01.9525091Z >>> 2025-07-17T07:12:01.9525321Z >>> sample_inputs = [ 2025-07-17T07:12:01.9525595Z >>> (torch.randn(3), 3.14), 2025-07-17T07:12:01.9525931Z >>> (torch.randn(2, 3, device='cuda'), 2.718), 2025-07-17T07:12:01.9526322Z >>> (torch.randn(1, 10, requires_grad=True), 1.234), 2025-07-17T07:12:01.9526841Z >>> (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18), 2025-07-17T07:12:01.9527224Z >>> ] 2025-07-17T07:12:01.9527446Z >>> 2025-07-17T07:12:01.9527681Z >>> for args in sample_inputs: 2025-07-17T07:12:01.9528018Z >>> torch.library.opcheck(numpy_mul, args) 2025-07-17T07:12:01.9528277Z 2025-07-17T07:12:01.9528358Z 2025-07-17T07:12:01.9528722Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:01.9529085Z 2025-07-17T07:12:01.9900375Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py line=1285. 2025-07-17T07:12:01.9901416Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:01.9902169Z load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args) 2025-07-17T07:12:01.9902625Z 2025-07-17T07:12:01.9902802Z Loads an object saved with :func:`torch.save` from a file. 2025-07-17T07:12:01.9903100Z 2025-07-17T07:12:01.9903340Z :func:`torch.load` uses Python's unpickling facilities but treats storages, 2025-07-17T07:12:01.9903921Z which underlie tensors, specially. They are first deserialized on the 2025-07-17T07:12:01.9904471Z CPU and are then moved to the device they were saved from. If this fails 2025-07-17T07:12:01.9905034Z (e.g. because the run time system doesn't have certain devices), an exception 2025-07-17T07:12:01.9905614Z is raised. However, storages can be dynamically remapped to an alternative 2025-07-17T07:12:01.9906129Z set of devices using the :attr:`map_location` argument. 2025-07-17T07:12:01.9906411Z 2025-07-17T07:12:01.9906647Z If :attr:`map_location` is a callable, it will be called once for each serialized 2025-07-17T07:12:01.9907232Z storage with two arguments: storage and location. The storage argument 2025-07-17T07:12:01.9907802Z will be the initial deserialization of the storage, residing on the CPU. 2025-07-17T07:12:01.9908354Z Each serialized storage has a location tag associated with it which 2025-07-17T07:12:01.9908894Z identifies the device it was saved from, and this tag is the second 2025-07-17T07:12:01.9909469Z argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'`` 2025-07-17T07:12:01.9910063Z for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors. 2025-07-17T07:12:01.9910593Z :attr:`map_location` should return either ``None`` or a storage. If 2025-07-17T07:12:01.9911168Z :attr:`map_location` returns a storage, it will be used as the final deserialized 2025-07-17T07:12:01.9911790Z object, already moved to the right device. Otherwise, :func:`torch.load` will 2025-07-17T07:12:01.9912382Z fall back to the default behavior, as if :attr:`map_location` wasn't specified. 2025-07-17T07:12:01.9912751Z 2025-07-17T07:12:01.9912980Z If :attr:`map_location` is a :class:`torch.device` object or a string containing 2025-07-17T07:12:01.9913580Z a device tag, it indicates the location where all tensors should be loaded. 2025-07-17T07:12:01.9913923Z 2025-07-17T07:12:01.9914191Z Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags 2025-07-17T07:12:01.9914763Z appearing in the file (keys), to ones that specify where to put the 2025-07-17T07:12:01.9915186Z storages (values). 2025-07-17T07:12:01.9915342Z 2025-07-17T07:12:01.9915572Z User extensions can register their own location tags and tagging and 2025-07-17T07:12:01.9916181Z deserialization methods using :func:`torch.serialization.register_package`. 2025-07-17T07:12:01.9916559Z 2025-07-17T07:12:01.9916801Z See :ref:`layout-control` for more advanced tools to manipulate a checkpoint. 2025-07-17T07:12:01.9917170Z 2025-07-17T07:12:01.9917252Z Args: 2025-07-17T07:12:01.9917690Z f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`), 2025-07-17T07:12:01.9918385Z or a string or os.PathLike object containing a file name 2025-07-17T07:12:01.9918995Z map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage 2025-07-17T07:12:01.9919532Z locations 2025-07-17T07:12:01.9919917Z pickle_module: module used for unpickling metadata and objects (has to 2025-07-17T07:12:01.9920422Z match the :attr:`pickle_module` used to serialize file) 2025-07-17T07:12:01.9920921Z weights_only: Indicates whether unpickler should be restricted to 2025-07-17T07:12:01.9921477Z loading only tensors, primitive types, dictionaries 2025-07-17T07:12:01.9921966Z and any types added via :func:`torch.serialization.add_safe_globals`. 2025-07-17T07:12:01.9922440Z See :ref:`weights-only` for more details. 2025-07-17T07:12:01.9923015Z mmap: Indicates whether the file should be mapped rather than loading all the storages into memory. 2025-07-17T07:12:01.9923817Z Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they 2025-07-17T07:12:01.9924597Z are moved to the location that they were tagged with when saving, or specified by ``map_location``. This 2025-07-17T07:12:01.9925386Z second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the 2025-07-17T07:12:01.9926162Z tensor storages from disk to CPU memory in the first step, ``f`` is mapped, which means tensor storages 2025-07-17T07:12:01.9926764Z will be lazily loaded when their data is accessed. 2025-07-17T07:12:01.9927256Z pickle_load_args: (Python 3 only) optional keyword arguments passed over to 2025-07-17T07:12:01.9927840Z :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g., 2025-07-17T07:12:01.9928283Z :attr:`errors=...`. 2025-07-17T07:12:01.9928463Z 2025-07-17T07:12:01.9928586Z .. warning:: 2025-07-17T07:12:01.9928942Z :func:`torch.load()` unless `weights_only` parameter is set to `True`, 2025-07-17T07:12:01.9929474Z uses ``pickle`` module implicitly, which is known to be insecure. 2025-07-17T07:12:01.9930064Z It is possible to construct malicious pickle data which will execute arbitrary code 2025-07-17T07:12:01.9930684Z during unpickling. Never load data that could have come from an untrusted 2025-07-17T07:12:01.9931335Z source in an unsafe mode, or that could have been tampered with. **Only load data you trust**. 2025-07-17T07:12:01.9931742Z 2025-07-17T07:12:01.9931846Z .. note:: 2025-07-17T07:12:01.9932232Z When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors 2025-07-17T07:12:01.9932856Z will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')`` 2025-07-17T07:12:01.9933504Z and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint. 2025-07-17T07:12:01.9933895Z 2025-07-17T07:12:01.9933989Z .. note:: 2025-07-17T07:12:01.9934353Z By default, we decode byte strings as ``utf-8``. This is to avoid a common error 2025-07-17T07:12:01.9934933Z case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...`` 2025-07-17T07:12:01.9935471Z when loading files saved by Python 2 in Python 3. If this default 2025-07-17T07:12:01.9936056Z is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how 2025-07-17T07:12:01.9936663Z these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them 2025-07-17T07:12:01.9937260Z to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them 2025-07-17T07:12:01.9937846Z as byte arrays which can be decoded later with ``byte_array.decode(...)``. 2025-07-17T07:12:01.9938191Z 2025-07-17T07:12:01.9938290Z Example: 2025-07-17T07:12:01.9938541Z >>> # xdoctest: +SKIP("undefined filepaths") 2025-07-17T07:12:01.9938995Z >>> torch.load("tensors.pt", weights_only=True) 2025-07-17T07:12:01.9939452Z # Load all tensors onto the CPU 2025-07-17T07:12:01.9939751Z >>> torch.load( 2025-07-17T07:12:01.9940006Z ... "tensors.pt", 2025-07-17T07:12:01.9940314Z ... map_location=torch.device("cpu"), 2025-07-17T07:12:01.9940642Z ... weights_only=True, 2025-07-17T07:12:01.9940924Z ... ) 2025-07-17T07:12:01.9941195Z # Load all tensors onto the CPU, using a function 2025-07-17T07:12:01.9941530Z >>> torch.load( 2025-07-17T07:12:01.9941854Z ... "tensors.pt", 2025-07-17T07:12:01.9942173Z ... map_location=lambda storage, loc: storage, 2025-07-17T07:12:01.9942522Z ... weights_only=True, 2025-07-17T07:12:01.9942789Z ... ) 2025-07-17T07:12:01.9943031Z # Load all tensors onto GPU 1 2025-07-17T07:12:01.9943337Z >>> torch.load( 2025-07-17T07:12:01.9943579Z ... "tensors.pt", 2025-07-17T07:12:01.9943929Z ... map_location=lambda storage, loc: storage.cuda(1), 2025-07-17T07:12:01.9944312Z ... weights_only=True, 2025-07-17T07:12:01.9944613Z ... ) # type: ignore[attr-defined] 2025-07-17T07:12:01.9944951Z # Map tensors from GPU 1 to GPU 0 2025-07-17T07:12:01.9945272Z >>> torch.load( 2025-07-17T07:12:01.9945517Z ... "tensors.pt", 2025-07-17T07:12:01.9945822Z ... map_location={"cuda:1": "cuda:0"}, 2025-07-17T07:12:01.9946163Z ... weights_only=True, 2025-07-17T07:12:01.9946434Z ... ) 2025-07-17T07:12:01.9946689Z # Load tensor from io.BytesIO object 2025-07-17T07:12:01.9947173Z # Loading from a buffer setting weights_only=False, warning this can be unsafe 2025-07-17T07:12:01.9947671Z >>> with open("tensor.pt", "rb") as f: 2025-07-17T07:12:01.9948004Z ... buffer = io.BytesIO(f.read()) 2025-07-17T07:12:01.9948358Z >>> torch.load(buffer, weights_only=False) 2025-07-17T07:12:01.9948755Z # Load a module with 'ascii' encoding for unpickling 2025-07-17T07:12:01.9949253Z # Loading from a module setting weights_only=False, warning this can be unsafe 2025-07-17T07:12:01.9949817Z >>> torch.load("module.pt", encoding="ascii", weights_only=False) 2025-07-17T07:12:01.9950211Z 2025-07-17T07:12:01.9950566Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:01.9950945Z 2025-07-17T07:12:02.0429120Z msg = Cannot scrape callname=compute_required_storage_length in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims_common/__init__.py line=1848. 2025-07-17T07:12:02.0430161Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:02.0430760Z Computes the minimum storage size to hold the given tensor geometry. 2025-07-17T07:12:02.0431091Z 2025-07-17T07:12:02.0431188Z Example 2025-07-17T07:12:02.0431380Z ======= 2025-07-17T07:12:02.0431507Z 2025-07-17T07:12:02.0431742Z This is the size of a newly allocated tensor's storage, in units of elements 2025-07-17T07:12:02.0432084Z 2025-07-17T07:12:02.0432197Z >>> t = torch.empty((10, 20)) 2025-07-17T07:12:02.0432637Z >>> compute_required_storage_length(t.shape, t.stride(), t.storage_offset()) 2025-07-17T07:12:02.0433066Z 200 2025-07-17T07:12:02.0433186Z 2025-07-17T07:12:02.0433285Z >>> # xdoctest: +SKIP(failing) 2025-07-17T07:12:02.0433617Z >>> t2 = torch.empty_strided((1, 2, 3), (5, 7, 11)) 2025-07-17T07:12:02.0433977Z >>> size = compute_required_storage_length( 2025-07-17T07:12:02.0434353Z ... t2.shape, t2.stride(), t2.storage_offset() 2025-07-17T07:12:02.0434681Z ... ) 2025-07-17T07:12:02.0434894Z >>> size == t.storage().size() 2025-07-17T07:12:02.0435175Z True 2025-07-17T07:12:02.0435290Z 2025-07-17T07:12:02.0435493Z A valid tensor may have a larger storage size, but never smaller 2025-07-17T07:12:02.0435801Z 2025-07-17T07:12:02.0435920Z >>> slice = torch.empty(100)[20:40] 2025-07-17T07:12:02.0436490Z >>> slice.storage().size() 2025-07-17T07:12:02.0436756Z 100 2025-07-17T07:12:02.0436864Z 2025-07-17T07:12:02.0436990Z >>> compute_required_storage_length( 2025-07-17T07:12:02.0437361Z ... slice.shape, slice.stride(), slice.storage_offset() 2025-07-17T07:12:02.0437722Z ... ) 2025-07-17T07:12:02.0437923Z 40 2025-07-17T07:12:02.0438032Z 2025-07-17T07:12:02.0438109Z 2025-07-17T07:12:02.0438474Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:02.0438853Z 2025-07-17T07:12:02.0996700Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=66. 2025-07-17T07:12:02.0997619Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:02.0998227Z Check if the current accelerator is available at runtime: it was build, all the 2025-07-17T07:12:02.0998816Z required drivers are available and at least one device is visible. 2025-07-17T07:12:02.0999303Z See :ref:`accelerator` for details. 2025-07-17T07:12:02.0999563Z 2025-07-17T07:12:02.0999659Z Returns: 2025-07-17T07:12:02.1000057Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-07-17T07:12:02.1000471Z 2025-07-17T07:12:02.1000745Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-07-17T07:12:02.1001363Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-07-17T07:12:02.1002002Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-07-17T07:12:02.1002504Z :ref:`multiprocessing-poison-fork-note`. 2025-07-17T07:12:02.1002767Z 2025-07-17T07:12:02.1002858Z Example:: 2025-07-17T07:12:02.1002993Z 2025-07-17T07:12:02.1003273Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-07-17T07:12:02.1003738Z 2025-07-17T07:12:02.1004411Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-07-17T07:12:02.1005091Z 2025-07-17T07:12:02.1005346Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-07-17T07:12:02.1005825Z ^ 2025-07-17T07:12:02.1013227Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=212. 2025-07-17T07:12:02.1014155Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:02.1014725Z Wait for all kernels in all streams on the given device to complete. 2025-07-17T07:12:02.1015041Z 2025-07-17T07:12:02.1015136Z Args: 2025-07-17T07:12:02.1015557Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-07-17T07:12:02.1016230Z the current :ref:`accelerator` device type. If not given, 2025-07-17T07:12:02.1016777Z use :func:`torch.accelerator.current_device_index` by default. 2025-07-17T07:12:02.1017085Z 2025-07-17T07:12:02.1017415Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-07-17T07:12:02.1017835Z 2025-07-17T07:12:02.1017923Z Example:: 2025-07-17T07:12:02.1018063Z 2025-07-17T07:12:02.1018199Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-07-17T07:12:02.1018719Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-07-17T07:12:02.1019321Z >>> start_event = torch.Event(enable_timing=True) 2025-07-17T07:12:02.1019697Z >>> end_event = torch.Event(enable_timing=True) 2025-07-17T07:12:02.1020048Z >>> start_event.record() 2025-07-17T07:12:02.1020478Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-07-17T07:12:02.1021097Z >>> sum = torch.sum(tensor) 2025-07-17T07:12:02.1021412Z >>> end_event.record() 2025-07-17T07:12:02.1021724Z >>> torch.accelerator.synchronize() 2025-07-17T07:12:02.1022131Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-07-17T07:12:02.1022485Z 2025-07-17T07:12:02.1023156Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-07-17T07:12:02.1023822Z 2025-07-17T07:12:02.1024167Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-07-17T07:12:02.1024632Z ^ 2025-07-17T07:12:02.1275079Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py line=434. 2025-07-17T07:12:02.1276099Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:02.1276586Z Retrieves the CUDA runtime API module. 2025-07-17T07:12:02.1276822Z 2025-07-17T07:12:02.1276827Z 2025-07-17T07:12:02.1277087Z This function initializes the CUDA runtime environment if it is not already 2025-07-17T07:12:02.1277675Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-07-17T07:12:02.1278260Z runtime API module provides access to various CUDA runtime functions. 2025-07-17T07:12:02.1278597Z 2025-07-17T07:12:02.1278694Z Args: 2025-07-17T07:12:02.1278892Z ``None`` 2025-07-17T07:12:02.1279041Z 2025-07-17T07:12:02.1279125Z Returns: 2025-07-17T07:12:02.1279407Z module: The CUDA runtime API module (_cudart). 2025-07-17T07:12:02.1279659Z 2025-07-17T07:12:02.1279754Z Raises: 2025-07-17T07:12:02.1280100Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-07-17T07:12:02.1280814Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-07-17T07:12:02.1281294Z 2025-07-17T07:12:02.1281440Z Example of CUDA operations with profiling: 2025-07-17T07:12:02.1281771Z >>> import torch 2025-07-17T07:12:02.1282080Z >>> from torch.cuda import cudart, check_error 2025-07-17T07:12:02.1282419Z >>> import os 2025-07-17T07:12:02.1282660Z >>> 2025-07-17T07:12:02.1282888Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-07-17T07:12:02.1283202Z >>> 2025-07-17T07:12:02.1283467Z >>> def perform_cuda_operations_with_streams(): 2025-07-17T07:12:02.1283824Z >>> stream = torch.cuda.Stream() 2025-07-17T07:12:02.1284180Z >>> with torch.cuda.stream(stream): 2025-07-17T07:12:02.1284543Z >>> x = torch.randn(100, 100, device='cuda') 2025-07-17T07:12:02.1284897Z >>> y = torch.randn(100, 100, device='cuda') 2025-07-17T07:12:02.1285242Z >>> z = torch.mul(x, y) 2025-07-17T07:12:02.1285545Z >>> return z 2025-07-17T07:12:02.1285773Z >>> 2025-07-17T07:12:02.1286008Z >>> torch.cuda.synchronize() 2025-07-17T07:12:02.1286348Z >>> print("====== Start nsys profiling ======") 2025-07-17T07:12:02.1286730Z >>> check_error(cudart().cudaProfilerStart()) 2025-07-17T07:12:02.1287105Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-07-17T07:12:02.1287506Z >>> result = perform_cuda_operations_with_streams() 2025-07-17T07:12:02.1287898Z >>> print("CUDA operations completed.") 2025-07-17T07:12:02.1288285Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-07-17T07:12:02.1288695Z >>> print("====== End nsys profiling ======") 2025-07-17T07:12:02.1288932Z 2025-07-17T07:12:02.1289139Z To run this example and save the profiling information, execute: 2025-07-17T07:12:02.1289819Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-07-17T07:12:02.1290293Z 2025-07-17T07:12:02.1290539Z This command profiles the CUDA operations in the provided script and saves 2025-07-17T07:12:02.1291301Z the profiling information to a file named `trace_name.prof`. 2025-07-17T07:12:02.1291847Z The `--profile-from-start off` option ensures that profiling starts only 2025-07-17T07:12:02.1292337Z after the `cudaProfilerStart` call in the script. 2025-07-17T07:12:02.1292819Z The `--csv` and `--print-summary` options format the profiling output as a 2025-07-17T07:12:02.1293293Z CSV file and print a summary, respectively. 2025-07-17T07:12:02.1293783Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-07-17T07:12:02.1294383Z overwrite of the output file if it already exists. 2025-07-17T07:12:02.1294732Z 2025-07-17T07:12:02.1295492Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2)) 2025-07-17T07:12:02.1296246Z 2025-07-17T07:12:02.1296604Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-07-17T07:12:02.1297150Z ^ 2025-07-17T07:12:02.1451914Z msg = Cannot scrape callname=Future.then in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=101. 2025-07-17T07:12:02.1452865Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:02.1453245Z 2025-07-17T07:12:02.1453490Z Append the given callback function to this ``Future``, which will be run 2025-07-17T07:12:02.1454041Z when the ``Future`` is completed. Multiple callbacks can be added to 2025-07-17T07:12:02.1454570Z the same ``Future``, but the order in which they will be executed cannot 2025-07-17T07:12:02.1455081Z be guaranteed (to enforce a certain order consider chaining: 2025-07-17T07:12:02.1455579Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which 2025-07-17T07:12:02.1456096Z is the reference to this ``Future``. The callback function can use the 2025-07-17T07:12:02.1456632Z :meth:`value` method to get the value. Note that if this ``Future`` is 2025-07-17T07:12:02.1457171Z already completed, the given callback will be run immediately inline. 2025-07-17T07:12:02.1457505Z 2025-07-17T07:12:02.1457708Z If the ``Future``'s value contains tensors that reside on GPUs, the 2025-07-17T07:12:02.1458218Z callback might be invoked while the async kernels that are populating 2025-07-17T07:12:02.1458777Z those tensors haven't yet finished executing on the device. However, the 2025-07-17T07:12:02.1459398Z callback will be invoked with some dedicated streams set as current 2025-07-17T07:12:02.1459920Z (fetched from a global pool) which will be synchronized with those 2025-07-17T07:12:02.1460463Z kernels. Hence any operation performed by the callback on these tensors 2025-07-17T07:12:02.1461017Z will be scheduled on the device after the kernels complete. In other 2025-07-17T07:12:02.1461599Z words, as long as the callback doesn't switch streams, it can safely 2025-07-17T07:12:02.1462277Z manipulate the result without any additional synchronization. This is 2025-07-17T07:12:02.1462870Z similar to the non-blocking behavior of :meth:`wait`. 2025-07-17T07:12:02.1463135Z 2025-07-17T07:12:02.1463357Z Similarly, if the callback returns a value that contains tensors that 2025-07-17T07:12:02.1463863Z reside on a GPU, it can do so even if the kernels that are producing 2025-07-17T07:12:02.1464388Z these tensors are still running on the device, as long as the callback 2025-07-17T07:12:02.1464926Z didn't change streams during its execution. If one wants to change 2025-07-17T07:12:02.1465462Z streams, one must be careful to re-synchronize them with the original 2025-07-17T07:12:02.1465989Z streams, that is, those that were current when the callback was invoked. 2025-07-17T07:12:02.1466333Z 2025-07-17T07:12:02.1466413Z Args: 2025-07-17T07:12:02.1466734Z callback(``Callable``): a ``Callable`` that takes this ``Future`` as 2025-07-17T07:12:02.1467153Z the only argument. 2025-07-17T07:12:02.1467557Z 2025-07-17T07:12:02.1467641Z Returns: 2025-07-17T07:12:02.1467924Z A new ``Future`` object that holds the return value of the 2025-07-17T07:12:02.1468383Z ``callback`` and will be marked as completed when the given 2025-07-17T07:12:02.1468765Z ``callback`` finishes. 2025-07-17T07:12:02.1468945Z 2025-07-17T07:12:02.1469136Z .. note:: Note that if the callback function throws, either 2025-07-17T07:12:02.1469874Z through the original future being completed with an exception and 2025-07-17T07:12:02.1470497Z calling ``fut.wait()``, or through other code in the callback, the 2025-07-17T07:12:02.1471016Z future returned by ``then`` will be marked appropriately with the 2025-07-17T07:12:02.1471534Z encountered error. However, if this callback later completes 2025-07-17T07:12:02.1472049Z additional futures, those futures are not marked as completed with 2025-07-17T07:12:02.1472585Z an error and the user is responsible for handling completion/waiting 2025-07-17T07:12:02.1473023Z on those futures independently. 2025-07-17T07:12:02.1473226Z 2025-07-17T07:12:02.1473326Z Example:: 2025-07-17T07:12:02.1473444Z 2025-07-17T07:12:02.1484580Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2025-07-17T07:12:02.1485047Z >>> def callback(fut): 2025-07-17T07:12:02.1485378Z ... print(f"RPC return value is {fut.wait()}.") 2025-07-17T07:12:02.1485740Z >>> fut = torch.futures.Future() 2025-07-17T07:12:02.1486131Z >>> # The inserted callback will print the return value when 2025-07-17T07:12:02.1486559Z >>> # receiving the response from "worker1" 2025-07-17T07:12:02.1486892Z >>> cb_fut = fut.then(callback) 2025-07-17T07:12:02.1487205Z >>> chain_cb_fut = cb_fut.then( 2025-07-17T07:12:02.1487558Z ... lambda x : print(f"Chained cb done. {x.wait()}") 2025-07-17T07:12:02.1487896Z ... ) 2025-07-17T07:12:02.1488118Z >>> fut.set_result(5) 2025-07-17T07:12:02.1488392Z RPC return value is 5. 2025-07-17T07:12:02.1488661Z Chained cb done. None 2025-07-17T07:12:02.1488843Z 2025-07-17T07:12:02.1489098Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:02.1489481Z 2025-07-17T07:12:02.1490044Z msg = Cannot scrape callname=Future.set_result in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=211. 2025-07-17T07:12:02.1490954Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:02.1491328Z 2025-07-17T07:12:02.1491551Z Set the result for this ``Future``, which will mark this ``Future`` as 2025-07-17T07:12:02.1492081Z completed and trigger all attached callbacks. Note that a ``Future`` 2025-07-17T07:12:02.1492530Z cannot be marked completed twice. 2025-07-17T07:12:02.1492730Z 2025-07-17T07:12:02.1492962Z If the result contains tensors that reside on GPUs, this method can be 2025-07-17T07:12:02.1493513Z called even if the asynchronous kernels that are populating those 2025-07-17T07:12:02.1494045Z tensors haven't yet completed running on the device, provided that the 2025-07-17T07:12:02.1494608Z streams on which those kernels were enqueued are set as the current ones 2025-07-17T07:12:02.1495278Z when this method is called. Put simply, it's safe to call this method 2025-07-17T07:12:02.1495808Z immediately after launching those kernels, without any additional 2025-07-17T07:12:02.1496369Z synchronization, as long as one doesn't change streams in between. This 2025-07-17T07:12:02.1496928Z method will record events on all the relevant current streams and will 2025-07-17T07:12:02.1497473Z use them to ensure proper scheduling for all the consumers of this 2025-07-17T07:12:02.1497869Z ``Future``. 2025-07-17T07:12:02.1498007Z 2025-07-17T07:12:02.1498087Z Args: 2025-07-17T07:12:02.1498365Z result (object): the result object of this ``Future``. 2025-07-17T07:12:02.1498637Z 2025-07-17T07:12:02.1498744Z Example:: 2025-07-17T07:12:02.1498874Z 2025-07-17T07:12:02.1499019Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2025-07-17T07:12:02.1499646Z >>> import threading 2025-07-17T07:12:02.1499890Z >>> import time 2025-07-17T07:12:02.1500151Z >>> def slow_set_future(fut, value): 2025-07-17T07:12:02.1500475Z ... time.sleep(0.5) 2025-07-17T07:12:02.1500756Z ... fut.set_result(value) 2025-07-17T07:12:02.1501053Z >>> fut = torch.futures.Future() 2025-07-17T07:12:02.1501366Z >>> t = threading.Thread( 2025-07-17T07:12:02.1501657Z ... target=slow_set_future, 2025-07-17T07:12:02.1501958Z ... args=(fut, torch.ones(2) * 3) 2025-07-17T07:12:02.1502328Z ... ) 2025-07-17T07:12:02.1502537Z >>> t.start() 2025-07-17T07:12:02.1502765Z >>> print(fut.wait()) 2025-07-17T07:12:02.1503030Z tensor([3., 3.]) 2025-07-17T07:12:02.1503270Z >>> t.join() 2025-07-17T07:12:02.1503404Z 2025-07-17T07:12:02.1503659Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:02.1504044Z 2025-07-17T07:12:02.1599903Z msg = Cannot scrape callname=compile_shader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/mps/__init__.py line=145. 2025-07-17T07:12:02.1600807Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:02.1601411Z Compiles compute shader from source and allows one to invoke kernels 2025-07-17T07:12:02.1601886Z defined there from the comfort of Python runtime 2025-07-17T07:12:02.1602256Z Example:: 2025-07-17T07:12:02.1602386Z 2025-07-17T07:12:02.1602533Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS) 2025-07-17T07:12:02.1602905Z >>> lib = torch.mps.compile_shader( 2025-07-17T07:12:02.1603523Z ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }" 2025-07-17T07:12:02.1604109Z ... ) 2025-07-17T07:12:02.1604359Z >>> x = torch.zeros(16, device="mps") 2025-07-17T07:12:02.1604748Z >>> lib.full(x, 3.14) 2025-07-17T07:12:02.1605021Z 2025-07-17T07:12:02.1605391Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:02.1605758Z 2025-07-17T07:12:02.1841465Z msg = Cannot scrape callname=sum in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py line=202. 2025-07-17T07:12:02.1842416Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:02.1843033Z Return the sum of each row of the given sparse tensor. 2025-07-17T07:12:02.1843308Z 2025-07-17T07:12:02.1843614Z Returns the sum of each row of the sparse tensor :attr:`input` in the given 2025-07-17T07:12:02.1844202Z dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions, 2025-07-17T07:12:02.1844726Z reduce over all of them. When sum over all ``sparse_dim``, this method 2025-07-17T07:12:02.1845266Z returns a dense tensor instead of a sparse tensor. 2025-07-17T07:12:02.1845526Z 2025-07-17T07:12:02.1845854Z All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output 2025-07-17T07:12:02.1846456Z tensor having :attr:`dim` fewer dimensions than :attr:`input`. 2025-07-17T07:12:02.1846793Z 2025-07-17T07:12:02.1847010Z During backward, only gradients at ``nnz`` locations of :attr:`input` 2025-07-17T07:12:02.1847647Z will propagate back. Note that the gradients of :attr:`input` is coalesced. 2025-07-17T07:12:02.1848055Z 2025-07-17T07:12:02.1848152Z Args: 2025-07-17T07:12:02.1848389Z input (Tensor): the input sparse tensor 2025-07-17T07:12:02.1848966Z dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce 2025-07-17T07:12:02.1849458Z over all dims. 2025-07-17T07:12:02.1849927Z dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor. 2025-07-17T07:12:02.1850480Z Default: dtype of :attr:`input`. 2025-07-17T07:12:02.1850703Z 2025-07-17T07:12:02.1850829Z Example:: 2025-07-17T07:12:02.1850957Z 2025-07-17T07:12:02.1851249Z >>> nnz = 3 2025-07-17T07:12:02.1851475Z >>> dims = [5, 5, 2, 3] 2025-07-17T07:12:02.1851872Z >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)), 2025-07-17T07:12:02.1852342Z torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz) 2025-07-17T07:12:02.1852817Z >>> V = torch.randn(nnz, dims[2], dims[3]) 2025-07-17T07:12:02.1853162Z >>> size = torch.Size(dims) 2025-07-17T07:12:02.1853566Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-07-17T07:12:02.1853938Z >>> S = torch.sparse_coo_tensor(I, V, size) 2025-07-17T07:12:02.1854421Z >>> S 2025-07-17T07:12:02.1854675Z tensor(indices=tensor([[2, 0, 3], 2025-07-17T07:12:02.1855040Z [2, 4, 1]]), 2025-07-17T07:12:02.1855393Z values=tensor([[[-0.6438, -1.6467, 1.4004], 2025-07-17T07:12:02.1855814Z [ 0.3411, 0.0918, -0.2312]], 2025-07-17T07:12:02.1856041Z 2025-07-17T07:12:02.1856172Z [[ 0.5348, 0.0634, -2.0494], 2025-07-17T07:12:02.1856552Z [-0.7125, -1.0646, 2.1844]], 2025-07-17T07:12:02.1856789Z 2025-07-17T07:12:02.1856897Z [[ 0.1276, 0.1874, -0.6334], 2025-07-17T07:12:02.1857286Z [-1.9682, -0.5340, 0.7483]]]), 2025-07-17T07:12:02.1857661Z size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo) 2025-07-17T07:12:02.1857942Z 2025-07-17T07:12:02.1858175Z # when sum over only part of sparse_dims, return a sparse tensor 2025-07-17T07:12:02.1858602Z >>> torch.sparse.sum(S, [1, 3]) 2025-07-17T07:12:02.1858991Z tensor(indices=tensor([[0, 2, 3]]), 2025-07-17T07:12:02.1859401Z values=tensor([[-1.4512, 0.4073], 2025-07-17T07:12:02.1859780Z [-0.8901, 0.2017], 2025-07-17T07:12:02.1860109Z [-0.3183, -1.7539]]), 2025-07-17T07:12:02.1860628Z size=(5, 2), nnz=3, layout=torch.sparse_coo) 2025-07-17T07:12:02.1860885Z 2025-07-17T07:12:02.1861090Z # when sum over all sparse dim, return a dense tensor 2025-07-17T07:12:02.1861473Z # with summed dims squeezed 2025-07-17T07:12:02.1861838Z >>> torch.sparse.sum(S, [0, 1, 3]) 2025-07-17T07:12:02.1862162Z tensor([-2.6596, -1.1450]) 2025-07-17T07:12:02.1862443Z 2025-07-17T07:12:02.1862864Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:02.1863234Z 2025-07-17T07:12:03.0208992Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=39. 2025-07-17T07:12:03.0210135Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:03.0210530Z 2025-07-17T07:12:03.0210749Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-07-17T07:12:03.0211281Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-07-17T07:12:03.0211825Z pushes the map into PyTorch operations called by ``func``, effectively 2025-07-17T07:12:03.0212256Z vectorizing those operations. 2025-07-17T07:12:03.0212456Z 2025-07-17T07:12:03.0212667Z vmap is useful for handling batch dimensions: one can write a function 2025-07-17T07:12:03.0213194Z ``func`` that runs on examples and then lift it to a function that can 2025-07-17T07:12:03.0213706Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-07-17T07:12:03.0214204Z compute batched gradients when composed with autograd. 2025-07-17T07:12:03.0214491Z 2025-07-17T07:12:03.0214609Z .. note:: 2025-07-17T07:12:03.0214917Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-07-17T07:12:03.0215334Z convenience. Use whichever one you'd like. 2025-07-17T07:12:03.0215585Z 2025-07-17T07:12:03.0215666Z Args: 2025-07-17T07:12:03.0215997Z func (function): A Python function that takes one or more arguments. 2025-07-17T07:12:03.0216665Z Must return one or more Tensors. 2025-07-17T07:12:03.0217088Z in_dims (int or nested structure): Specifies which dimension of the 2025-07-17T07:12:03.0217590Z inputs should be mapped over. ``in_dims`` should have a 2025-07-17T07:12:03.0218074Z structure like the inputs. If the ``in_dim`` for a particular 2025-07-17T07:12:03.0218632Z input is None, then that indicates there is no map dimension. 2025-07-17T07:12:03.0219225Z Default: 0. 2025-07-17T07:12:03.0219612Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-07-17T07:12:03.0220440Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-07-17T07:12:03.0220909Z it should have one element per output. Default: 0. 2025-07-17T07:12:03.0221361Z randomness (str): Specifies whether the randomness in this 2025-07-17T07:12:03.0221857Z vmap should be the same or different across batches. If 'different', 2025-07-17T07:12:03.0222386Z the randomness for each batch will be different. If 'same', the 2025-07-17T07:12:03.0222926Z randomness will be the same across batches. If 'error', any calls to 2025-07-17T07:12:03.0223466Z random functions will error. Default: 'error'. WARNING: this flag 2025-07-17T07:12:03.0223980Z only applies to random PyTorch operations and does not apply to 2025-07-17T07:12:03.0224439Z Python's random module or numpy randomness. 2025-07-17T07:12:03.0224910Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-07-17T07:12:03.0225459Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-07-17T07:12:03.0226050Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-07-17T07:12:03.0226689Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-07-17T07:12:03.0227071Z 2025-07-17T07:12:03.0227169Z Returns: 2025-07-17T07:12:03.0227466Z Returns a new "batched" function. It takes the same inputs as 2025-07-17T07:12:03.0227955Z ``func``, except each input has an extra dimension at the index 2025-07-17T07:12:03.0228447Z specified by ``in_dims``. It takes returns the same outputs as 2025-07-17T07:12:03.0228933Z ``func``, except each output has an extra dimension at the index 2025-07-17T07:12:03.0229328Z specified by ``out_dims``. 2025-07-17T07:12:03.0229522Z 2025-07-17T07:12:03.0229606Z .. warning: 2025-07-17T07:12:03.0229925Z :func:`vmap` works best with functional-style code. Please do not 2025-07-17T07:12:03.0230419Z perform any side-effects in ``func``, with the exception of 2025-07-17T07:12:03.0230964Z in-place PyTorch operations. Examples of side-effects include mutating 2025-07-17T07:12:03.0231598Z Python data structures and assigning values to variables not captured 2025-07-17T07:12:03.0232032Z in ``func``. 2025-07-17T07:12:03.0232168Z 2025-07-17T07:12:03.0232410Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-07-17T07:12:03.0232969Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-07-17T07:12:03.0233521Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-07-17T07:12:03.0233859Z 2025-07-17T07:12:03.0233977Z >>> torch.dot # [D], [D] -> [] 2025-07-17T07:12:03.0234388Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-07-17T07:12:03.0234820Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-07-17T07:12:03.0235156Z >>> batched_dot(x, y) 2025-07-17T07:12:03.0235318Z 2025-07-17T07:12:03.0235557Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-07-17T07:12:03.0235992Z model authoring experience. 2025-07-17T07:12:03.0236181Z 2025-07-17T07:12:03.0236286Z >>> batch_size, feature_size = 3, 5 2025-07-17T07:12:03.0236673Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-07-17T07:12:03.0237045Z >>> 2025-07-17T07:12:03.0237249Z >>> def model(feature_vec): 2025-07-17T07:12:03.0237665Z >>> # Very simple linear model with activation 2025-07-17T07:12:03.0238041Z >>> return feature_vec.dot(weights).relu() 2025-07-17T07:12:03.0238353Z >>> 2025-07-17T07:12:03.0238623Z >>> examples = torch.randn(batch_size, feature_size) 2025-07-17T07:12:03.0239010Z >>> result = torch.vmap(model)(examples) 2025-07-17T07:12:03.0239233Z 2025-07-17T07:12:03.0239479Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-07-17T07:12:03.0240077Z or impossible to batch. One example is higher-order gradient computation. 2025-07-17T07:12:03.0240716Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-07-17T07:12:03.0241293Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-07-17T07:12:03.0241876Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-07-17T07:12:03.0242481Z we can vectorize the whole computation, computing the Jacobian in a single 2025-07-17T07:12:03.0242950Z call to ``autograd.grad``. 2025-07-17T07:12:03.0243124Z 2025-07-17T07:12:03.0243208Z >>> # Setup 2025-07-17T07:12:03.0243432Z >>> N = 5 2025-07-17T07:12:03.0243663Z >>> f = lambda x: x**2 2025-07-17T07:12:03.0243959Z >>> x = torch.randn(N, requires_grad=True) 2025-07-17T07:12:03.0244269Z >>> y = f(x) 2025-07-17T07:12:03.0244510Z >>> I_N = torch.eye(N) 2025-07-17T07:12:03.0244771Z >>> 2025-07-17T07:12:03.0244979Z >>> # Sequential approach 2025-07-17T07:12:03.0245381Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-07-17T07:12:03.0245830Z >>> for v in I_N.unbind()] 2025-07-17T07:12:03.0246160Z >>> jacobian = torch.stack(jacobian_rows) 2025-07-17T07:12:03.0246469Z >>> 2025-07-17T07:12:03.0246703Z >>> # vectorized gradient computation 2025-07-17T07:12:03.0247005Z >>> def get_vjp(v): 2025-07-17T07:12:03.0247283Z >>> return torch.autograd.grad(y, x, v) 2025-07-17T07:12:03.0247638Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-07-17T07:12:03.0247858Z 2025-07-17T07:12:03.0248127Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-07-17T07:12:03.0248506Z 2025-07-17T07:12:03.0248605Z >>> torch.dot # [D], [D] -> [] 2025-07-17T07:12:03.0248911Z >>> batched_dot = torch.vmap( 2025-07-17T07:12:03.0249214Z ... torch.vmap(torch.dot) 2025-07-17T07:12:03.0249512Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-07-17T07:12:03.0249875Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-07-17T07:12:03.0250257Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-07-17T07:12:03.0250489Z 2025-07-17T07:12:03.0250737Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-07-17T07:12:03.0251236Z the dimension that each inputs are batched along as 2025-07-17T07:12:03.0251506Z 2025-07-17T07:12:03.0251605Z >>> torch.dot # [N], [N] -> [] 2025-07-17T07:12:03.0252025Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-07-17T07:12:03.0252475Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-07-17T07:12:03.0252798Z >>> batched_dot( 2025-07-17T07:12:03.0253033Z ... x, y 2025-07-17T07:12:03.0253348Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-07-17T07:12:03.0253664Z 2025-07-17T07:12:03.0253915Z If there are multiple inputs each of which is batched along different dimensions, 2025-07-17T07:12:03.0254491Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-07-17T07:12:03.0254802Z 2025-07-17T07:12:03.0254919Z >>> torch.dot # [D], [D] -> [] 2025-07-17T07:12:03.0255342Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-07-17T07:12:03.0255818Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-07-17T07:12:03.0256142Z >>> batched_dot( 2025-07-17T07:12:03.0256363Z ... x, y 2025-07-17T07:12:03.0256691Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-07-17T07:12:03.0257094Z 2025-07-17T07:12:03.0257326Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-07-17T07:12:03.0257793Z matching the shape of the input: 2025-07-17T07:12:03.0257988Z 2025-07-17T07:12:03.0258125Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-07-17T07:12:03.0258500Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-07-17T07:12:03.0258832Z >>> input = {"x": x, "y": y} 2025-07-17T07:12:03.0259273Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-07-17T07:12:03.0259742Z >>> batched_dot(input) 2025-07-17T07:12:03.0259923Z 2025-07-17T07:12:03.0260191Z By default, the output is batched along the first dimension. However, it can be batched 2025-07-17T07:12:03.0260706Z along any dimension by using ``out_dims`` 2025-07-17T07:12:03.0260928Z 2025-07-17T07:12:03.0261020Z >>> f = lambda x: x**2 2025-07-17T07:12:03.0261293Z >>> x = torch.randn(2, 5) 2025-07-17T07:12:03.0261606Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-07-17T07:12:03.0261930Z >>> batched_pow(x) # [5, 2] 2025-07-17T07:12:03.0262126Z 2025-07-17T07:12:03.0262409Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-07-17T07:12:03.0262916Z accept kwargs 2025-07-17T07:12:03.0263045Z 2025-07-17T07:12:03.0263155Z >>> x = torch.randn([2, 5]) 2025-07-17T07:12:03.0263426Z >>> def fn(x, scale=4.): 2025-07-17T07:12:03.0263697Z >>> return x * scale 2025-07-17T07:12:03.0263944Z >>> 2025-07-17T07:12:03.0264157Z >>> batched_pow = torch.vmap(fn) 2025-07-17T07:12:03.0264503Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-07-17T07:12:03.0264975Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-07-17T07:12:03.0265313Z 2025-07-17T07:12:03.0265413Z .. note:: 2025-07-17T07:12:03.0265754Z vmap does not provide general autobatching or handle variable-length 2025-07-17T07:12:03.0266196Z sequences out of the box. 2025-07-17T07:12:03.0266378Z 2025-07-17T07:12:03.0266641Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:03.0267002Z 2025-07-17T07:12:03.0267474Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=306. 2025-07-17T07:12:03.0268321Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:03.0268935Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-07-17T07:12:03.0269704Z input(s) specified by ``argnums``. This operator can be nested to 2025-07-17T07:12:03.0270126Z compute higher-order gradients. 2025-07-17T07:12:03.0270344Z 2025-07-17T07:12:03.0270426Z Args: 2025-07-17T07:12:03.0270761Z func (Callable): A Python function that takes one or more arguments. 2025-07-17T07:12:03.0271337Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-07-17T07:12:03.0271988Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-07-17T07:12:03.0272470Z ``(output, aux)``. 2025-07-17T07:12:03.0272929Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-07-17T07:12:03.0273511Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-07-17T07:12:03.0274045Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-07-17T07:12:03.0274552Z auxiliary objects: ``(output, aux)``. Default: False. 2025-07-17T07:12:03.0274826Z 2025-07-17T07:12:03.0274909Z Returns: 2025-07-17T07:12:03.0275318Z Function to compute gradients with respect to its inputs. By default, the output of 2025-07-17T07:12:03.0275955Z the function is the gradient tensor(s) with respect to the first argument. 2025-07-17T07:12:03.0276581Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-07-17T07:12:03.0277327Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-07-17T07:12:03.0277842Z respect to each ``argnums`` value is returned. 2025-07-17T07:12:03.0278091Z 2025-07-17T07:12:03.0278208Z Example of using ``grad``: 2025-07-17T07:12:03.0278391Z 2025-07-17T07:12:03.0278492Z >>> # xdoctest: +SKIP 2025-07-17T07:12:03.0278787Z >>> from torch.func import grad 2025-07-17T07:12:03.0279108Z >>> x = torch.randn([]) 2025-07-17T07:12:03.0279506Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-07-17T07:12:03.0279875Z >>> assert torch.allclose(cos_x, x.cos()) 2025-07-17T07:12:03.0280194Z >>> 2025-07-17T07:12:03.0280410Z >>> # Second-order gradients 2025-07-17T07:12:03.0280763Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-07-17T07:12:03.0281165Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-07-17T07:12:03.0281409Z 2025-07-17T07:12:03.0281654Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-07-17T07:12:03.0282033Z 2025-07-17T07:12:03.0282132Z >>> # xdoctest: +SKIP 2025-07-17T07:12:03.0282438Z >>> from torch.func import grad, vmap 2025-07-17T07:12:03.0282783Z >>> batch_size, feature_size = 3, 5 2025-07-17T07:12:03.0283073Z >>> 2025-07-17T07:12:03.0283311Z >>> def model(weights, feature_vec): 2025-07-17T07:12:03.0283665Z >>> # Very simple linear model with activation 2025-07-17T07:12:03.0284016Z >>> assert feature_vec.dim() == 1 2025-07-17T07:12:03.0284364Z >>> return feature_vec.dot(weights).relu() 2025-07-17T07:12:03.0284685Z >>> 2025-07-17T07:12:03.0284929Z >>> def compute_loss(weights, example, target): 2025-07-17T07:12:03.0285286Z >>> y = model(weights, example) 2025-07-17T07:12:03.0285637Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-07-17T07:12:03.0285956Z >>> 2025-07-17T07:12:03.0286252Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-07-17T07:12:03.0286694Z >>> examples = torch.randn(batch_size, feature_size) 2025-07-17T07:12:03.0287074Z >>> targets = torch.randn(batch_size) 2025-07-17T07:12:03.0287407Z >>> inputs = (weights, examples, targets) 2025-07-17T07:12:03.0287871Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-07-17T07:12:03.0288314Z ... *inputs 2025-07-17T07:12:03.0288542Z ... ) 2025-07-17T07:12:03.0288677Z 2025-07-17T07:12:03.0288854Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-07-17T07:12:03.0289137Z 2025-07-17T07:12:03.0289243Z >>> # xdoctest: +SKIP 2025-07-17T07:12:03.0289534Z >>> from torch.func import grad 2025-07-17T07:12:03.0289843Z >>> def my_loss_func(y, y_pred): 2025-07-17T07:12:03.0290189Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-07-17T07:12:03.0290551Z >>> loss = loss_per_sample.mean() 2025-07-17T07:12:03.0290890Z >>> return loss, (y_pred, loss_per_sample) 2025-07-17T07:12:03.0291207Z >>> 2025-07-17T07:12:03.0291475Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-07-17T07:12:03.0291829Z >>> y_true = torch.rand(4) 2025-07-17T07:12:03.0292157Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-07-17T07:12:03.0292505Z >>> out = fn(y_true, y_preds) 2025-07-17T07:12:03.0292938Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-07-17T07:12:03.0293308Z 2025-07-17T07:12:03.0293399Z .. note:: 2025-07-17T07:12:03.0293698Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-07-17T07:12:03.0293980Z 2025-07-17T07:12:03.0294134Z Case 1: Using ``torch.no_grad`` inside a function: 2025-07-17T07:12:03.0294389Z 2025-07-17T07:12:03.0294489Z >>> # xdoctest: +SKIP 2025-07-17T07:12:03.0294844Z >>> def f(x): 2025-07-17T07:12:03.0295113Z >>> with torch.no_grad(): 2025-07-17T07:12:03.0295409Z >>> c = x ** 2 2025-07-17T07:12:03.0295700Z >>> return x - c 2025-07-17T07:12:03.0295895Z 2025-07-17T07:12:03.0296087Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-07-17T07:12:03.0296395Z 2025-07-17T07:12:03.0296588Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-07-17T07:12:03.0296884Z 2025-07-17T07:12:03.0296982Z >>> # xdoctest: +SKIP 2025-07-17T07:12:03.0297340Z >>> with torch.no_grad(): 2025-07-17T07:12:03.0297642Z >>> grad(f)(x) 2025-07-17T07:12:03.0297814Z 2025-07-17T07:12:03.0298042Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-07-17T07:12:03.0298588Z outer one. This is because ``grad`` is a "function transform": its result 2025-07-17T07:12:03.0299234Z should not depend on the result of a context manager outside of ``f``. 2025-07-17T07:12:03.0299575Z 2025-07-17T07:12:03.0299673Z 2025-07-17T07:12:03.0300030Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:03.0300412Z 2025-07-17T07:12:04.6785938Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py line=396. 2025-07-17T07:12:04.6786994Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:04.6787630Z Register a FakeTensor implementation for this custom op. 2025-07-17T07:12:04.6787923Z 2025-07-17T07:12:04.6788179Z This is necessary to get the operator to work efficiently with torch.compile. 2025-07-17T07:12:04.6788612Z 2025-07-17T07:12:04.6788850Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-07-17T07:12:04.6789506Z specifies the behavior of this operator on Tensors that carry no data. 2025-07-17T07:12:04.6790067Z Given some input Tensors with certain properties 2025-07-17T07:12:04.6790610Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-07-17T07:12:04.6791132Z the output Tensors are. 2025-07-17T07:12:04.6791318Z 2025-07-17T07:12:04.6791587Z Please see :func:`torch.library.impl_abstract` for more details. 2025-07-17T07:12:04.6791920Z 2025-07-17T07:12:04.6792004Z Args: 2025-07-17T07:12:04.6792370Z fn (Callable): The function to register as the FakeTensor 2025-07-17T07:12:04.6792770Z implementation. 2025-07-17T07:12:04.6792987Z 2025-07-17T07:12:04.6793098Z Examples: 2025-07-17T07:12:04.6793352Z >>> import torch 2025-07-17T07:12:04.6793634Z >>> import numpy as np 2025-07-17T07:12:04.6793996Z >>> from torch import Tensor 2025-07-17T07:12:04.6794302Z >>> 2025-07-17T07:12:04.6794697Z >>> # Example 1: an operator without data-dependent output shape 2025-07-17T07:12:04.6795222Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-07-17T07:12:04.6795795Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-07-17T07:12:04.6796286Z >>> return (x @ weight.t()) + bias 2025-07-17T07:12:04.6796607Z >>> 2025-07-17T07:12:04.6796864Z >>> @linear.register_fake 2025-07-17T07:12:04.6797224Z >>> def _(x, weight, bias): 2025-07-17T07:12:04.6797542Z >>> assert x.dim() == 2 2025-07-17T07:12:04.6797927Z >>> assert weight.dim() == 2 2025-07-17T07:12:04.6798263Z >>> assert bias.dim() == 1 2025-07-17T07:12:04.6798670Z >>> assert x.shape[1] == weight.shape[1] 2025-07-17T07:12:04.6799037Z >>> assert weight.shape[0] == bias.shape[0] 2025-07-17T07:12:04.6799478Z >>> assert x.device == weight.device 2025-07-17T07:12:04.6799866Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-07-17T07:12:04.6800502Z >>> 2025-07-17T07:12:04.6800767Z >>> x = torch.randn(2, 2) 2025-07-17T07:12:04.6801133Z >>> weight = torch.randn(2, 2) 2025-07-17T07:12:04.6801524Z >>> bias = torch.randn(2) 2025-07-17T07:12:04.6801934Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-07-17T07:12:04.6802428Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-07-17T07:12:04.6802877Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-07-17T07:12:04.6803541Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-07-17T07:12:04.6804043Z >>> 2025-07-17T07:12:04.6804356Z >>> # Example 2: an operator with data-dependent output shape 2025-07-17T07:12:04.6804908Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-07-17T07:12:04.6805339Z >>> def nonzero(x: Tensor) -> Tensor: 2025-07-17T07:12:04.6805738Z >>> x_np = x.cpu().numpy() 2025-07-17T07:12:04.6806083Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-07-17T07:12:04.6806533Z >>> return torch.tensor(res, device=x.device) 2025-07-17T07:12:04.6806857Z >>> 2025-07-17T07:12:04.6807156Z >>> @nonzero.register_fake 2025-07-17T07:12:04.6807464Z >>> def _(x): 2025-07-17T07:12:04.6807779Z >>> # Number of nonzero-elements is data-dependent. 2025-07-17T07:12:04.6808259Z >>> # Since we cannot peek at the data in an abstract impl, 2025-07-17T07:12:04.6808766Z >>> # we use the ctx object to construct a new symint that 2025-07-17T07:12:04.6809174Z >>> # represents the data-dependent size. 2025-07-17T07:12:04.6809587Z >>> ctx = torch.library.get_ctx() 2025-07-17T07:12:04.6809936Z >>> nnz = ctx.new_dynamic_size() 2025-07-17T07:12:04.6810327Z >>> shape = [nnz, x.dim()] 2025-07-17T07:12:04.6810684Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-07-17T07:12:04.6811107Z >>> return result 2025-07-17T07:12:04.6811384Z >>> 2025-07-17T07:12:04.6811624Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-07-17T07:12:04.6812056Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-07-17T07:12:04.6812470Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-07-17T07:12:04.6812918Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-07-17T07:12:04.6813334Z >>> assert torch.allclose(out, x.nonzero()) 2025-07-17T07:12:04.6813597Z 2025-07-17T07:12:04.6813679Z 2025-07-17T07:12:04.6814391Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-07-17T07:12:04.6815098Z 2025-07-17T07:12:04.6815192Z _._ = None 2025-07-17T07:12:04.6815384Z ^ 2025-07-17T07:12:04.6908505Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_profile.py line=94. 2025-07-17T07:12:04.6909524Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:04.6909901Z 2025-07-17T07:12:04.6910142Z Registers a fake kernel based on the given operator profiles. This fake 2025-07-17T07:12:04.6910722Z kernel registration will override any existing fake kernel registrations. 2025-07-17T07:12:04.6911096Z 2025-07-17T07:12:04.6911322Z The input is a dictionary mapping operator names to a set of operator 2025-07-17T07:12:04.6911884Z profiles, which we will use to generate fake kernels. The operator profiles 2025-07-17T07:12:04.6912432Z are a record of the input and output tensor metadata. Based on this 2025-07-17T07:12:04.6912973Z information we will match a given input to the recorded profile, and return 2025-07-17T07:12:04.6913554Z an output with the same metadata as in the recorded profile. If a profile 2025-07-17T07:12:04.6914214Z doesn't exist then an exception will be thrown. 2025-07-17T07:12:04.6914461Z 2025-07-17T07:12:04.6914688Z The fake kernel generation is considered unsafe because it relies on the 2025-07-17T07:12:04.6915258Z rigid, pre-defined operator profiles that do not account for potential 2025-07-17T07:12:04.6915852Z variations in output behavior. Specifically, the generated kernels assume a 2025-07-17T07:12:04.6916476Z fixed relationship between input and output ranks. However, in reality, it's 2025-07-17T07:12:04.6917160Z possible that data-dependent operations may produce outputs of different 2025-07-17T07:12:04.6917742Z ranks even when given inputs of the same rank. The generated fake kernels 2025-07-17T07:12:04.6918301Z are inflexible and unable to accommodate these nuances, making them 2025-07-17T07:12:04.6918718Z potentially unsafe. 2025-07-17T07:12:04.6918876Z 2025-07-17T07:12:04.6918956Z Args: 2025-07-17T07:12:04.6919296Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-07-17T07:12:04.6919835Z name to a set of operator profiles from which we will generate fake 2025-07-17T07:12:04.6920223Z kernels. 2025-07-17T07:12:04.6920372Z 2025-07-17T07:12:04.6920457Z Examples: 2025-07-17T07:12:04.6920573Z 2025-07-17T07:12:04.6920752Z >>> # Example: Registering an op-profile from draft-export 2025-07-17T07:12:04.6921114Z >>> import torch 2025-07-17T07:12:04.6921423Z >>> from torch.export._draft_export import draft_export 2025-07-17T07:12:04.6921783Z >>> 2025-07-17T07:12:04.6922081Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-07-17T07:12:04.6922500Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-07-17T07:12:04.6922829Z >>> return x + y 2025-07-17T07:12:04.6923076Z >>> 2025-07-17T07:12:04.6923285Z >>> class M(torch.nn.Module): 2025-07-17T07:12:04.6923589Z >>> def forward(self, a, b): 2025-07-17T07:12:04.6923939Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-07-17T07:12:04.6924283Z >>> return res 2025-07-17T07:12:04.6924532Z >>> 2025-07-17T07:12:04.6924817Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-07-17T07:12:04.6925171Z >>> 2025-07-17T07:12:04.6925583Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-07-17T07:12:04.6926126Z >>> decomp = ep.run_decompositions() 2025-07-17T07:12:04.6926350Z 2025-07-17T07:12:04.6926354Z 2025-07-17T07:12:04.6926617Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:04.6926988Z 2025-07-17T07:12:04.6963301Z msg = Cannot scrape callname=triton_op in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=21. 2025-07-17T07:12:04.6964493Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:04.6965621Z Create a custom operator whose implementation is backed by 1+ triton kernels. 2025-07-17T07:12:04.6966098Z 2025-07-17T07:12:04.6966317Z This is a more structured way of using triton kernels with PyTorch. 2025-07-17T07:12:04.6966888Z Prefer using triton kernels with no ``torch.library`` custom operator wrappers 2025-07-17T07:12:04.6967523Z (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because 2025-07-17T07:12:04.6968022Z that is simpler; 2025-07-17T07:12:04.6968438Z only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you 2025-07-17T07:12:04.6969035Z want to create an operator that behaves like PyTorch built-in operators. 2025-07-17T07:12:04.6969908Z For example, you may use a ``torch.library`` wrapper API to define the 2025-07-17T07:12:04.6970464Z behavior of the triton kernel when passed a tensor subclass or under 2025-07-17T07:12:04.6971031Z a TorchDispatchMode. 2025-07-17T07:12:04.6971281Z 2025-07-17T07:12:04.6971583Z Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op` 2025-07-17T07:12:04.6972448Z when the implementation 2025-07-17T07:12:04.6973127Z consists of 1+ triton kernels. :func:`torch.library.custom_op` treats 2025-07-17T07:12:04.6973842Z custom operators as opaque (:func:`torch.compile` and 2025-07-17T07:12:04.6974357Z :func:`torch.export.export` will never trace into them), but ``triton_op`` 2025-07-17T07:12:04.6974938Z makes the implementation visible to these subsystems, allowing them 2025-07-17T07:12:04.6975387Z to optimize the triton kernel(s). 2025-07-17T07:12:04.6975595Z 2025-07-17T07:12:04.6975877Z Note that ``fn`` must only consist of calls to PyTorch-understood 2025-07-17T07:12:04.6976410Z operators and triton kernels. Any triton kernels called inside ``fn`` 2025-07-17T07:12:04.6976944Z must be wrapped in a call to :func:`torch.library.wrap_triton`. 2025-07-17T07:12:04.6977242Z 2025-07-17T07:12:04.6977327Z Args: 2025-07-17T07:12:04.6977683Z name (str): A name for the custom op that looks like "{namespace}::{name}", 2025-07-17T07:12:04.6978234Z e.g. "mylib::my_linear". The name is used as the op's stable identifier 2025-07-17T07:12:04.6978730Z in PyTorch subsystems (e.g. torch.export, FX graphs). 2025-07-17T07:12:04.6979312Z To avoid name collisions, please use your project name as the namespace; 2025-07-17T07:12:04.6979876Z e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace. 2025-07-17T07:12:04.6980499Z mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates. 2025-07-17T07:12:04.6981133Z This MUST be accurate, otherwise, the behavior is undefined. If "unknown", 2025-07-17T07:12:04.6981738Z it pessimistically assumes that all inputs to the operator are being mutated. 2025-07-17T07:12:04.6982310Z schema (None | str): A schema string for the operator. If None 2025-07-17T07:12:04.6982817Z (recommended) we'll infer a schema for the operator from its type 2025-07-17T07:12:04.6983336Z annotations. We recommend letting us infer a schema unless you 2025-07-17T07:12:04.6983773Z have a specific reason not to. 2025-07-17T07:12:04.6984146Z Example: "(Tensor x, int y) -> (Tensor, Tensor)". 2025-07-17T07:12:04.6984403Z 2025-07-17T07:12:04.6984502Z Example:: 2025-07-17T07:12:04.6984630Z 2025-07-17T07:12:04.6984766Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-07-17T07:12:04.6985107Z >>> import torch 2025-07-17T07:12:04.6985425Z >>> from torch.library import triton_op, wrap_triton 2025-07-17T07:12:04.6985766Z >>> 2025-07-17T07:12:04.6985993Z >>> import triton 2025-07-17T07:12:04.6986281Z >>> from triton import language as tl 2025-07-17T07:12:04.6986581Z >>> 2025-07-17T07:12:04.6986797Z >>> @triton.jit 2025-07-17T07:12:04.6987048Z >>> def add_kernel( 2025-07-17T07:12:04.6987294Z >>> in_ptr0, 2025-07-17T07:12:04.6987546Z >>> in_ptr1, 2025-07-17T07:12:04.6987796Z >>> out_ptr, 2025-07-17T07:12:04.6988044Z >>> n_elements, 2025-07-17T07:12:04.6988313Z >>> BLOCK_SIZE: "tl.constexpr", 2025-07-17T07:12:04.6988617Z >>> ): 2025-07-17T07:12:04.6988855Z >>> pid = tl.program_id(axis=0) 2025-07-17T07:12:04.6989176Z >>> block_start = pid * BLOCK_SIZE 2025-07-17T07:12:04.6989546Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2025-07-17T07:12:04.6989916Z >>> mask = offsets < n_elements 2025-07-17T07:12:04.6990247Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2025-07-17T07:12:04.6990618Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2025-07-17T07:12:04.6990954Z >>> output = x + y 2025-07-17T07:12:04.6991267Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2025-07-17T07:12:04.6991611Z >>> 2025-07-17T07:12:04.6991861Z >>> @triton_op("mylib::add", mutates_args={}) 2025-07-17T07:12:04.6992288Z >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor: 2025-07-17T07:12:04.6992764Z >>> output = torch.empty_like(x) 2025-07-17T07:12:04.6993103Z >>> n_elements = output.numel() 2025-07-17T07:12:04.6993406Z >>> 2025-07-17T07:12:04.6993610Z >>> def grid(meta): 2025-07-17T07:12:04.6993962Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2025-07-17T07:12:04.6994333Z >>> 2025-07-17T07:12:04.6994621Z >>> # NB: we need to wrap the triton kernel in a call to wrap_triton 2025-07-17T07:12:04.6995159Z >>> wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16) 2025-07-17T07:12:04.6995557Z >>> return output 2025-07-17T07:12:04.6995822Z >>> 2025-07-17T07:12:04.6996028Z >>> @torch.compile 2025-07-17T07:12:04.6996288Z >>> def f(x, y): 2025-07-17T07:12:04.6996548Z >>> return add(x, y) 2025-07-17T07:12:04.6996808Z >>> 2025-07-17T07:12:04.6997044Z >>> x = torch.randn(3, device="cuda") 2025-07-17T07:12:04.6997386Z >>> y = torch.randn(3, device="cuda") 2025-07-17T07:12:04.6997678Z >>> 2025-07-17T07:12:04.6997884Z >>> z = f(x, y) 2025-07-17T07:12:04.6998149Z >>> assert torch.allclose(z, x + y) 2025-07-17T07:12:04.6998367Z 2025-07-17T07:12:04.6998446Z 2025-07-17T07:12:04.6998806Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:04.6999181Z 2025-07-17T07:12:04.6999717Z msg = Cannot scrape callname=wrap_triton in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=202. 2025-07-17T07:12:04.7000595Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:04.7001168Z Allows capture of a triton kernel into a graph via make_fx or 2025-07-17T07:12:04.7001590Z non-strict ``torch.export``. 2025-07-17T07:12:04.7001782Z 2025-07-17T07:12:04.7001975Z These technologies perform Dispatcher-based tracing (via 2025-07-17T07:12:04.7002461Z ``__torch_dispatch__``) and cannot see calls to raw triton kernels. 2025-07-17T07:12:04.7002973Z The ``wrap_triton`` API wraps a triton kernel into a callable that 2025-07-17T07:12:04.7003401Z can actually be traced into a graph. 2025-07-17T07:12:04.7003617Z 2025-07-17T07:12:04.7003822Z Please use this API together with :func:`torch.library.triton_op`. 2025-07-17T07:12:04.7004156Z 2025-07-17T07:12:04.7004244Z Examples: 2025-07-17T07:12:04.7004382Z 2025-07-17T07:12:04.7004478Z >>> # xdoctest: +SKIP 2025-07-17T07:12:04.7004753Z >>> import torch 2025-07-17T07:12:04.7005001Z >>> import triton 2025-07-17T07:12:04.7005281Z >>> from triton import language as tl 2025-07-17T07:12:04.7005689Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-07-17T07:12:04.7006097Z >>> from torch.library import wrap_triton 2025-07-17T07:12:04.7006421Z >>> 2025-07-17T07:12:04.7006632Z >>> @triton.jit 2025-07-17T07:12:04.7006876Z >>> def add_kernel( 2025-07-17T07:12:04.7007138Z >>> in_ptr0, 2025-07-17T07:12:04.7007387Z >>> in_ptr1, 2025-07-17T07:12:04.7007624Z >>> out_ptr, 2025-07-17T07:12:04.7007876Z >>> n_elements, 2025-07-17T07:12:04.7008154Z >>> BLOCK_SIZE: "tl.constexpr", 2025-07-17T07:12:04.7008464Z >>> ): 2025-07-17T07:12:04.7008688Z >>> pid = tl.program_id(axis=0) 2025-07-17T07:12:04.7009019Z >>> block_start = pid * BLOCK_SIZE 2025-07-17T07:12:04.7009387Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2025-07-17T07:12:04.7009748Z >>> mask = offsets < n_elements 2025-07-17T07:12:04.7010090Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2025-07-17T07:12:04.7010452Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2025-07-17T07:12:04.7010777Z >>> output = x + y 2025-07-17T07:12:04.7011098Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2025-07-17T07:12:04.7011508Z >>> 2025-07-17T07:12:04.7011707Z >>> def add(x, y): 2025-07-17T07:12:04.7011991Z >>> output = torch.empty_like(x) 2025-07-17T07:12:04.7012327Z >>> n_elements = output.numel() 2025-07-17T07:12:04.7012634Z >>> 2025-07-17T07:12:04.7012841Z >>> def grid_fn(meta): 2025-07-17T07:12:04.7013208Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2025-07-17T07:12:04.7013581Z >>> 2025-07-17T07:12:04.7013884Z >>> wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16) 2025-07-17T07:12:04.7014350Z >>> return output 2025-07-17T07:12:04.7014615Z >>> 2025-07-17T07:12:04.7014835Z >>> x = torch.randn(3, device="cuda") 2025-07-17T07:12:04.7015168Z >>> y = torch.randn(3, device="cuda") 2025-07-17T07:12:04.7015492Z >>> gm = make_fx(add)(x, y) 2025-07-17T07:12:04.7015774Z >>> print(gm.code) 2025-07-17T07:12:04.7016055Z >>> # def forward(self, x_1, y_1): 2025-07-17T07:12:04.7016509Z >>> # empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False) 2025-07-17T07:12:04.7017104Z >>> # triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation( 2025-07-17T07:12:04.7017583Z >>> # kernel_idx = 0, constant_args_idx = 0, 2025-07-17T07:12:04.7017938Z >>> # grid = [(1, 1, 1)], kwargs = { 2025-07-17T07:12:04.7018317Z >>> # 'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like, 2025-07-17T07:12:04.7018705Z >>> # 'n_elements': 3, 'BLOCK_SIZE': 16 2025-07-17T07:12:04.7019031Z >>> # }) 2025-07-17T07:12:04.7019390Z >>> # return empty_like 2025-07-17T07:12:04.7019587Z 2025-07-17T07:12:04.7019683Z 2025-07-17T07:12:04.7020036Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:04.7020413Z 2025-07-17T07:12:04.7725737Z msg = Cannot scrape callname=print_assert_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=286. 2025-07-17T07:12:04.7726726Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:04.7727268Z 2025-07-17T07:12:04.7727557Z Test if two objects are equal, and print an error message if test fails. 2025-07-17T07:12:04.7728052Z 2025-07-17T07:12:04.7728284Z The test is performed with ``actual == desired``. 2025-07-17T07:12:04.7728795Z 2025-07-17T07:12:04.7728961Z Parameters 2025-07-17T07:12:04.7729212Z ---------- 2025-07-17T07:12:04.7729436Z test_string : str 2025-07-17T07:12:04.7729704Z The message supplied to AssertionError. 2025-07-17T07:12:04.7730025Z actual : object 2025-07-17T07:12:04.7730314Z The object to test for equality against `desired`. 2025-07-17T07:12:04.7730704Z desired : object 2025-07-17T07:12:04.7731028Z The expected result. 2025-07-17T07:12:04.7731237Z 2025-07-17T07:12:04.7731332Z Examples 2025-07-17T07:12:04.7731552Z -------- 2025-07-17T07:12:04.7731905Z >>> np.testing.print_assert_equal( 2025-07-17T07:12:04.7732484Z ... "Test XYZ of func xyz", [0, 1], [0, 1] 2025-07-17T07:12:04.7732999Z ... ) # doctest: +SKIP 2025-07-17T07:12:04.7733267Z >>> np.testing.print_assert_equal( 2025-07-17T07:12:04.7733584Z ... "Test XYZ of func xyz", [0, 1], [0, 2] 2025-07-17T07:12:04.7733886Z ... ) # doctest: +SKIP 2025-07-17T07:12:04.7734151Z Traceback (most recent call last): 2025-07-17T07:12:04.7734438Z ... 2025-07-17T07:12:04.7734661Z AssertionError: Test XYZ of func xyz failed 2025-07-17T07:12:04.7734980Z ACTUAL: 2025-07-17T07:12:04.7735176Z [0, 1] 2025-07-17T07:12:04.7735380Z DESIRED: 2025-07-17T07:12:04.7735616Z [0, 2] 2025-07-17T07:12:04.7735798Z 2025-07-17T07:12:04.7735804Z 2025-07-17T07:12:04.7736223Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:04.7736752Z 2025-07-17T07:12:04.7737640Z msg = Cannot scrape callname=assert_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=331. 2025-07-17T07:12:04.7739028Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:04.7739506Z 2025-07-17T07:12:04.7739723Z Raises an AssertionError if two items are not equal up to desired 2025-07-17T07:12:04.7740122Z precision. 2025-07-17T07:12:04.7740258Z 2025-07-17T07:12:04.7740469Z .. note:: It is recommended to use one of `assert_allclose`, 2025-07-17T07:12:04.7741005Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-07-17T07:12:04.7741744Z instead of this function for more consistent floating point 2025-07-17T07:12:04.7742139Z comparisons. 2025-07-17T07:12:04.7742308Z 2025-07-17T07:12:04.7742526Z The test verifies that the elements of `actual` and `desired` satisfy. 2025-07-17T07:12:04.7742853Z 2025-07-17T07:12:04.7743028Z ``abs(desired-actual) < float64(1.5 * 10**(-decimal))`` 2025-07-17T07:12:04.7743298Z 2025-07-17T07:12:04.7743536Z That is a looser test than originally documented, but agrees with what the 2025-07-17T07:12:04.7744110Z actual implementation in `assert_array_almost_equal` did up to rounding 2025-07-17T07:12:04.7744700Z vagaries. An exception is raised at conflicting values. For ndarrays this 2025-07-17T07:12:04.7745175Z delegates to assert_array_almost_equal 2025-07-17T07:12:04.7745392Z 2025-07-17T07:12:04.7745479Z Parameters 2025-07-17T07:12:04.7745694Z ---------- 2025-07-17T07:12:04.7745920Z actual : array_like 2025-07-17T07:12:04.7746158Z The object to check. 2025-07-17T07:12:04.7746428Z desired : array_like 2025-07-17T07:12:04.7746688Z The expected object. 2025-07-17T07:12:04.7746958Z decimal : int, optional 2025-07-17T07:12:04.7747222Z Desired precision, default is 7. 2025-07-17T07:12:04.7747534Z err_msg : str, optional 2025-07-17T07:12:04.7747844Z The error message to be printed in case of failure. 2025-07-17T07:12:04.7748194Z verbose : bool, optional 2025-07-17T07:12:04.7748572Z If True, the conflicting values are appended to the error message. 2025-07-17T07:12:04.7748890Z 2025-07-17T07:12:04.7748986Z Raises 2025-07-17T07:12:04.7749174Z ------ 2025-07-17T07:12:04.7749382Z AssertionError 2025-07-17T07:12:04.7749714Z If actual and desired are not equal up to specified precision. 2025-07-17T07:12:04.7750015Z 2025-07-17T07:12:04.7750096Z See Also 2025-07-17T07:12:04.7750296Z -------- 2025-07-17T07:12:04.7750648Z assert_allclose: Compare two array_like objects for equality with desired 2025-07-17T07:12:04.7751129Z relative and/or absolute precision. 2025-07-17T07:12:04.7751564Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-07-17T07:12:04.7751892Z 2025-07-17T07:12:04.7751975Z Examples 2025-07-17T07:12:04.7752172Z -------- 2025-07-17T07:12:04.7752437Z >>> from torch._numpy.testing import assert_almost_equal 2025-07-17T07:12:04.7752837Z >>> assert_almost_equal(2.3333333333333, 2.33333334) 2025-07-17T07:12:04.7753249Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10) 2025-07-17T07:12:04.7753638Z Traceback (most recent call last): 2025-07-17T07:12:04.7753928Z ... 2025-07-17T07:12:04.7754135Z AssertionError: 2025-07-17T07:12:04.7754388Z Arrays are not almost equal to 10 decimals 2025-07-17T07:12:04.7754707Z ACTUAL: 2.3333333333333 2025-07-17T07:12:04.7754962Z DESIRED: 2.33333334 2025-07-17T07:12:04.7755106Z 2025-07-17T07:12:04.7755217Z >>> assert_almost_equal( 2025-07-17T07:12:04.7755568Z ... np.array([1.0, 2.3333333333333]), np.array([1.0, 2.33333334]), decimal=9 2025-07-17T07:12:04.7755965Z ... ) 2025-07-17T07:12:04.7756189Z Traceback (most recent call last): 2025-07-17T07:12:04.7756469Z ... 2025-07-17T07:12:04.7756676Z AssertionError: 2025-07-17T07:12:04.7756933Z Arrays are not almost equal to 9 decimals 2025-07-17T07:12:04.7757235Z 2025-07-17T07:12:04.7757463Z Mismatched elements: 1 / 2 (50%) 2025-07-17T07:12:04.7757785Z Max absolute difference: 6.666699636781459e-09 2025-07-17T07:12:04.7758139Z Max relative difference: 2.8571569790287484e-09 2025-07-17T07:12:04.7758629Z x: torch.ndarray([1.0000, 2.3333], dtype=float64) 2025-07-17T07:12:04.7759017Z y: torch.ndarray([1.0000, 2.3333], dtype=float64) 2025-07-17T07:12:04.7759258Z 2025-07-17T07:12:04.7759263Z 2025-07-17T07:12:04.7759529Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:04.7759896Z 2025-07-17T07:12:04.7760454Z msg = Cannot scrape callname=assert_approx_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=457. 2025-07-17T07:12:04.7761458Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:04.7761847Z 2025-07-17T07:12:04.7762067Z Raises an AssertionError if two items are not equal up to significant 2025-07-17T07:12:04.7762486Z digits. 2025-07-17T07:12:04.7762598Z 2025-07-17T07:12:04.7762774Z .. note:: It is recommended to use one of `assert_allclose`, 2025-07-17T07:12:04.7763241Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-07-17T07:12:04.7763728Z instead of this function for more consistent floating point 2025-07-17T07:12:04.7764110Z comparisons. 2025-07-17T07:12:04.7764274Z 2025-07-17T07:12:04.7764453Z Given two numbers, check that they are approximately equal. 2025-07-17T07:12:04.7764967Z Approximately equal is defined as the number of significant digits 2025-07-17T07:12:04.7765388Z that agree. 2025-07-17T07:12:04.7765511Z 2025-07-17T07:12:04.7765597Z Parameters 2025-07-17T07:12:04.7765805Z ---------- 2025-07-17T07:12:04.7766021Z actual : scalar 2025-07-17T07:12:04.7766246Z The object to check. 2025-07-17T07:12:04.7766510Z desired : scalar 2025-07-17T07:12:04.7766749Z The expected object. 2025-07-17T07:12:04.7767005Z significant : int, optional 2025-07-17T07:12:04.7767296Z Desired precision, default is 7. 2025-07-17T07:12:04.7767603Z err_msg : str, optional 2025-07-17T07:12:04.7767898Z The error message to be printed in case of failure. 2025-07-17T07:12:04.7768258Z verbose : bool, optional 2025-07-17T07:12:04.7768637Z If True, the conflicting values are appended to the error message. 2025-07-17T07:12:04.7768950Z 2025-07-17T07:12:04.7769040Z Raises 2025-07-17T07:12:04.7769224Z ------ 2025-07-17T07:12:04.7769610Z AssertionError 2025-07-17T07:12:04.7769944Z If actual and desired are not equal up to specified precision. 2025-07-17T07:12:04.7770247Z 2025-07-17T07:12:04.7770327Z See Also 2025-07-17T07:12:04.7770530Z -------- 2025-07-17T07:12:04.7770885Z assert_allclose: Compare two array_like objects for equality with desired 2025-07-17T07:12:04.7771362Z relative and/or absolute precision. 2025-07-17T07:12:04.7771814Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-07-17T07:12:04.7772132Z 2025-07-17T07:12:04.7772229Z Examples 2025-07-17T07:12:04.7772421Z -------- 2025-07-17T07:12:04.7772656Z >>> np.testing.assert_approx_equal( 2025-07-17T07:12:04.7772971Z ... 0.12345677777777e-20, 0.1234567e-20 2025-07-17T07:12:04.7773278Z ... ) # doctest: +SKIP 2025-07-17T07:12:04.7773540Z >>> np.testing.assert_approx_equal( 2025-07-17T07:12:04.7773837Z ... 0.12345670e-20, 2025-07-17T07:12:04.7774096Z ... 0.12345671e-20, # doctest: +SKIP 2025-07-17T07:12:04.7774391Z ... significant=8, 2025-07-17T07:12:04.7774630Z ... ) 2025-07-17T07:12:04.7774870Z >>> np.testing.assert_approx_equal( 2025-07-17T07:12:04.7775154Z ... 0.12345670e-20, 2025-07-17T07:12:04.7775418Z ... 0.12345672e-20, # doctest: +SKIP 2025-07-17T07:12:04.7775730Z ... significant=8, 2025-07-17T07:12:04.7775960Z ... ) 2025-07-17T07:12:04.7776194Z Traceback (most recent call last): 2025-07-17T07:12:04.7776486Z ... 2025-07-17T07:12:04.7776685Z AssertionError: 2025-07-17T07:12:04.7776962Z Items are not equal to 8 significant digits: 2025-07-17T07:12:04.7777295Z ACTUAL: 1.234567e-21 2025-07-17T07:12:04.7777533Z DESIRED: 1.2345672e-21 2025-07-17T07:12:04.7777702Z 2025-07-17T07:12:04.7777859Z the evaluated condition that raises the exception is 2025-07-17T07:12:04.7778274Z 2025-07-17T07:12:04.7778467Z >>> abs(0.12345670e-20 / 1e-21 - 0.12345672e-20 / 1e-21) >= 10 ** -(8 - 1) 2025-07-17T07:12:04.7778865Z True 2025-07-17T07:12:04.7778974Z 2025-07-17T07:12:04.7778977Z 2025-07-17T07:12:04.7779319Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:04.7779702Z 2025-07-17T07:12:04.7780321Z msg = Cannot scrape callname=assert_array_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=744. 2025-07-17T07:12:04.7781331Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:04.7781722Z 2025-07-17T07:12:04.7781928Z Raises an AssertionError if two array_like objects are not equal. 2025-07-17T07:12:04.7782259Z 2025-07-17T07:12:04.7782457Z Given two array_like objects, check that the shape is equal and all 2025-07-17T07:12:04.7782997Z elements of these objects are equal (but see the Notes for the special 2025-07-17T07:12:04.7783524Z handling of a scalar). An exception is raised at shape mismatch or 2025-07-17T07:12:04.7784071Z conflicting values. In contrast to the standard usage in numpy, NaNs 2025-07-17T07:12:04.7784631Z are compared like numbers, no assertion is raised if both objects have 2025-07-17T07:12:04.7785075Z NaNs in the same positions. 2025-07-17T07:12:04.7785253Z 2025-07-17T07:12:04.7785475Z The usual caution for verifying equality with floating point numbers is 2025-07-17T07:12:04.7785900Z advised. 2025-07-17T07:12:04.7786011Z 2025-07-17T07:12:04.7786108Z Parameters 2025-07-17T07:12:04.7786302Z ---------- 2025-07-17T07:12:04.7786514Z x : array_like 2025-07-17T07:12:04.7786749Z The actual object to check. 2025-07-17T07:12:04.7787014Z y : array_like 2025-07-17T07:12:04.7787259Z The desired, expected object. 2025-07-17T07:12:04.7787558Z err_msg : str, optional 2025-07-17T07:12:04.7787857Z The error message to be printed in case of failure. 2025-07-17T07:12:04.7788228Z verbose : bool, optional 2025-07-17T07:12:04.7788603Z If True, the conflicting values are appended to the error message. 2025-07-17T07:12:04.7789020Z strict : bool, optional 2025-07-17T07:12:04.7789369Z If True, raise an AssertionError when either the shape or the data 2025-07-17T07:12:04.7789859Z type of the array_like objects does not match. The special 2025-07-17T07:12:04.7790352Z handling for scalars mentioned in the Notes section is disabled. 2025-07-17T07:12:04.7790659Z 2025-07-17T07:12:04.7790738Z Raises 2025-07-17T07:12:04.7790936Z ------ 2025-07-17T07:12:04.7791141Z AssertionError 2025-07-17T07:12:04.7791397Z If actual and desired objects are not equal. 2025-07-17T07:12:04.7791646Z 2025-07-17T07:12:04.7791728Z See Also 2025-07-17T07:12:04.7791926Z -------- 2025-07-17T07:12:04.7792388Z assert_allclose: Compare two array_like objects for equality with desired 2025-07-17T07:12:04.7792873Z relative and/or absolute precision. 2025-07-17T07:12:04.7793320Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-07-17T07:12:04.7793647Z 2025-07-17T07:12:04.7793740Z Notes 2025-07-17T07:12:04.7793924Z ----- 2025-07-17T07:12:04.7794222Z When one of `x` and `y` is a scalar and the other is array_like, the 2025-07-17T07:12:04.7794736Z function checks that each element of the array_like object is equal to 2025-07-17T07:12:04.7795288Z the scalar. This behaviour can be disabled with the `strict` parameter. 2025-07-17T07:12:04.7795634Z 2025-07-17T07:12:04.7795716Z Examples 2025-07-17T07:12:04.7795918Z -------- 2025-07-17T07:12:04.7796156Z The first assert does not raise an exception: 2025-07-17T07:12:04.7796405Z 2025-07-17T07:12:04.7796517Z >>> np.testing.assert_array_equal( 2025-07-17T07:12:04.7796866Z ... [1.0, 2.33333, np.nan], [np.exp(0), 2.33333, np.nan] 2025-07-17T07:12:04.7797199Z ... ) 2025-07-17T07:12:04.7797308Z 2025-07-17T07:12:04.7797529Z Use `assert_allclose` or one of the nulp (number of floating point values) 2025-07-17T07:12:04.7797980Z functions for these cases instead: 2025-07-17T07:12:04.7798264Z 2025-07-17T07:12:04.7798384Z >>> np.testing.assert_allclose( 2025-07-17T07:12:04.7798761Z ... [1.0, np.pi, np.nan], [1, np.sqrt(np.pi) ** 2, np.nan], rtol=1e-10, atol=0 2025-07-17T07:12:04.7799161Z ... ) 2025-07-17T07:12:04.7799284Z 2025-07-17T07:12:04.7799485Z As mentioned in the Notes section, `assert_array_equal` has special 2025-07-17T07:12:04.7800029Z handling for scalars. Here the test checks that each value in `x` is 3: 2025-07-17T07:12:04.7800365Z 2025-07-17T07:12:04.7800468Z >>> x = np.full((2, 5), fill_value=3) 2025-07-17T07:12:04.7800793Z >>> np.testing.assert_array_equal(x, 3) 2025-07-17T07:12:04.7801071Z 2025-07-17T07:12:04.7801292Z Use `strict` to raise an AssertionError when comparing a scalar with an 2025-07-17T07:12:04.7801691Z array: 2025-07-17T07:12:04.7801813Z 2025-07-17T07:12:04.7801960Z >>> np.testing.assert_array_equal(x, 3, strict=True) 2025-07-17T07:12:04.7802330Z Traceback (most recent call last): 2025-07-17T07:12:04.7802618Z ... 2025-07-17T07:12:04.7802812Z AssertionError: 2025-07-17T07:12:04.7803050Z Arrays are not equal 2025-07-17T07:12:04.7803290Z 2025-07-17T07:12:04.7803502Z (shapes (2, 5), () mismatch) 2025-07-17T07:12:04.7803784Z x: torch.ndarray([[3, 3, 3, 3, 3], 2025-07-17T07:12:04.7804075Z [3, 3, 3, 3, 3]]) 2025-07-17T07:12:04.7804322Z y: torch.ndarray(3) 2025-07-17T07:12:04.7804489Z 2025-07-17T07:12:04.7804697Z The `strict` parameter also ensures that the array data types match: 2025-07-17T07:12:04.7805020Z 2025-07-17T07:12:04.7805129Z >>> x = np.array([2, 2, 2]) 2025-07-17T07:12:04.7805433Z >>> y = np.array([2.0, 2.0, 2.0], dtype=np.float32) 2025-07-17T07:12:04.7805822Z >>> np.testing.assert_array_equal(x, y, strict=True) 2025-07-17T07:12:04.7806194Z Traceback (most recent call last): 2025-07-17T07:12:04.7806483Z ... 2025-07-17T07:12:04.7806679Z AssertionError: 2025-07-17T07:12:04.7816912Z Arrays are not equal 2025-07-17T07:12:04.7817241Z 2025-07-17T07:12:04.7817527Z (dtypes dtype("int64"), dtype("float32") mismatch) 2025-07-17T07:12:04.7817920Z x: torch.ndarray([2, 2, 2]) 2025-07-17T07:12:04.7818210Z y: torch.ndarray([2., 2., 2.]) 2025-07-17T07:12:04.7818397Z 2025-07-17T07:12:04.7818650Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:04.7819036Z 2025-07-17T07:12:04.7819693Z msg = Cannot scrape callname=assert_array_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=851. 2025-07-17T07:12:04.7820661Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:04.7821038Z 2025-07-17T07:12:04.7821273Z Raises an AssertionError if two objects are not equal up to desired 2025-07-17T07:12:04.7821684Z precision. 2025-07-17T07:12:04.7821822Z 2025-07-17T07:12:04.7822008Z .. note:: It is recommended to use one of `assert_allclose`, 2025-07-17T07:12:04.7822471Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-07-17T07:12:04.7822945Z instead of this function for more consistent floating point 2025-07-17T07:12:04.7823347Z comparisons. 2025-07-17T07:12:04.7823501Z 2025-07-17T07:12:04.7823749Z The test verifies identical shapes and that the elements of ``actual`` and 2025-07-17T07:12:04.7824202Z ``desired`` satisfy. 2025-07-17T07:12:04.7824352Z 2025-07-17T07:12:04.7824482Z ``abs(desired-actual) < 1.5 * 10**(-decimal)`` 2025-07-17T07:12:04.7824735Z 2025-07-17T07:12:04.7824958Z That is a looser test than originally documented, but agrees with what the 2025-07-17T07:12:04.7825546Z actual implementation did up to rounding vagaries. An exception is raised 2025-07-17T07:12:04.7826134Z at shape mismatch or conflicting values. In contrast to the standard usage 2025-07-17T07:12:04.7826706Z in numpy, NaNs are compared like numbers, no assertion is raised if both 2025-07-17T07:12:04.7827170Z objects have NaNs in the same positions. 2025-07-17T07:12:04.7827391Z 2025-07-17T07:12:04.7827496Z Parameters 2025-07-17T07:12:04.7827696Z ---------- 2025-07-17T07:12:04.7828041Z x : array_like 2025-07-17T07:12:04.7828283Z The actual object to check. 2025-07-17T07:12:04.7828548Z y : array_like 2025-07-17T07:12:04.7828793Z The desired, expected object. 2025-07-17T07:12:04.7829093Z decimal : int, optional 2025-07-17T07:12:04.7829355Z Desired precision, default is 6. 2025-07-17T07:12:04.7829664Z err_msg : str, optional 2025-07-17T07:12:04.7829983Z The error message to be printed in case of failure. 2025-07-17T07:12:04.7830336Z verbose : bool, optional 2025-07-17T07:12:04.7830710Z If True, the conflicting values are appended to the error message. 2025-07-17T07:12:04.7831118Z 2025-07-17T07:12:04.7831199Z Raises 2025-07-17T07:12:04.7831401Z ------ 2025-07-17T07:12:04.7831597Z AssertionError 2025-07-17T07:12:04.7831931Z If actual and desired are not equal up to specified precision. 2025-07-17T07:12:04.7832235Z 2025-07-17T07:12:04.7832330Z See Also 2025-07-17T07:12:04.7832524Z -------- 2025-07-17T07:12:04.7832881Z assert_allclose: Compare two array_like objects for equality with desired 2025-07-17T07:12:04.7833370Z relative and/or absolute precision. 2025-07-17T07:12:04.7833809Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-07-17T07:12:04.7834141Z 2025-07-17T07:12:04.7834225Z Examples 2025-07-17T07:12:04.7834431Z -------- 2025-07-17T07:12:04.7834666Z the first assert does not raise an exception 2025-07-17T07:12:04.7834911Z 2025-07-17T07:12:04.7835156Z >>> np.testing.assert_array_almost_equal([1.0, 2.333, np.nan], [1.0, 2.333, np.nan]) 2025-07-17T07:12:04.7835541Z 2025-07-17T07:12:04.7835662Z >>> np.testing.assert_array_almost_equal( 2025-07-17T07:12:04.7836040Z ... [1.0, 2.33333, np.nan], [1.0, 2.33339, np.nan], decimal=5 2025-07-17T07:12:04.7836375Z ... ) 2025-07-17T07:12:04.7836604Z Traceback (most recent call last): 2025-07-17T07:12:04.7836892Z ... 2025-07-17T07:12:04.7837089Z AssertionError: 2025-07-17T07:12:04.7837351Z Arrays are not almost equal to 5 decimals 2025-07-17T07:12:04.7837668Z 2025-07-17T07:12:04.7837889Z Mismatched elements: 1 / 3 (33.3%) 2025-07-17T07:12:04.7838218Z Max absolute difference: 5.999999999994898e-05 2025-07-17T07:12:04.7838586Z Max relative difference: 2.5713661239633743e-05 2025-07-17T07:12:04.7838992Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2025-07-17T07:12:04.7839415Z y: torch.ndarray([1.0000, 2.3334, nan], dtype=float64) 2025-07-17T07:12:04.7839695Z 2025-07-17T07:12:04.7839813Z >>> np.testing.assert_array_almost_equal( 2025-07-17T07:12:04.7840182Z ... [1.0, 2.33333, np.nan], [1.0, 2.33333, 5], decimal=5 2025-07-17T07:12:04.7840506Z ... ) 2025-07-17T07:12:04.7840736Z Traceback (most recent call last): 2025-07-17T07:12:04.7841031Z ... 2025-07-17T07:12:04.7841229Z AssertionError: 2025-07-17T07:12:04.7841490Z Arrays are not almost equal to 5 decimals 2025-07-17T07:12:04.7841805Z 2025-07-17T07:12:04.7842027Z x and y nan location mismatch: 2025-07-17T07:12:04.7842375Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2025-07-17T07:12:04.7842807Z y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64) 2025-07-17T07:12:04.7843071Z 2025-07-17T07:12:04.7843075Z 2025-07-17T07:12:04.7843340Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:04.7843702Z 2025-07-17T07:12:04.7844325Z msg = Cannot scrape callname=clear_and_catch_warnings in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=1848. 2025-07-17T07:12:04.7845265Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:04.7845863Z Context manager that resets warning registry for catching warnings 2025-07-17T07:12:04.7846184Z 2025-07-17T07:12:04.7846433Z Warnings can be slippery, because, whenever a warning is triggered, Python 2025-07-17T07:12:04.7847014Z adds a ``__warningregistry__`` member to the *calling* module. This makes 2025-07-17T07:12:04.7847584Z it impossible to retrigger the warning in this module, whatever you put in 2025-07-17T07:12:04.7848258Z the warnings filters. This context manager accepts a sequence of `modules` 2025-07-17T07:12:04.7848756Z as a keyword argument to its constructor and: 2025-07-17T07:12:04.7849002Z 2025-07-17T07:12:04.7849225Z * stores and removes any ``__warningregistry__`` entries in given `modules` 2025-07-17T07:12:04.7849661Z on entry; 2025-07-17T07:12:04.7849987Z * resets ``__warningregistry__`` to its previous state on exit. 2025-07-17T07:12:04.7850284Z 2025-07-17T07:12:04.7850516Z This makes it possible to trigger any warning afresh inside the context 2025-07-17T07:12:04.7851082Z manager without disturbing the state of warnings outside. 2025-07-17T07:12:04.7851388Z 2025-07-17T07:12:04.7851618Z For compatibility with Python 3.0, please consider all arguments to be 2025-07-17T07:12:04.7852066Z keyword-only. 2025-07-17T07:12:04.7852207Z 2025-07-17T07:12:04.7852294Z Parameters 2025-07-17T07:12:04.7852522Z ---------- 2025-07-17T07:12:04.7852762Z record : bool, optional 2025-07-17T07:12:04.7853132Z Specifies whether warnings should be captured by a custom 2025-07-17T07:12:04.7853662Z implementation of ``warnings.showwarning()`` and be appended to a list 2025-07-17T07:12:04.7854221Z returned by the context manager. Otherwise None is returned by the 2025-07-17T07:12:04.7854776Z context manager. The objects appended to the list are arguments whose 2025-07-17T07:12:04.7855279Z attributes mirror the arguments to ``showwarning()``. 2025-07-17T07:12:04.7855669Z modules : sequence, optional 2025-07-17T07:12:04.7856094Z Sequence of modules for which to reset warnings registry on entry and 2025-07-17T07:12:04.7856628Z restore on exit. To work correctly, all 'ignore' filters should 2025-07-17T07:12:04.7857032Z filter by one of these modules. 2025-07-17T07:12:04.7857258Z 2025-07-17T07:12:04.7857341Z Examples 2025-07-17T07:12:04.7857558Z -------- 2025-07-17T07:12:04.7857768Z >>> import warnings 2025-07-17T07:12:04.7858120Z >>> with np.testing.clear_and_catch_warnings( # doctest: +SKIP 2025-07-17T07:12:04.7858538Z ... modules=[np.core.fromnumeric] 2025-07-17T07:12:04.7858834Z ... ): 2025-07-17T07:12:04.7859179Z ... warnings.simplefilter("always") 2025-07-17T07:12:04.7859645Z ... warnings.filterwarnings("ignore", module="np.core.fromnumeric") 2025-07-17T07:12:04.7860149Z ... # do something that raises a warning but ignore those in 2025-07-17T07:12:04.7860548Z ... # np.core.fromnumeric 2025-07-17T07:12:04.7860833Z 2025-07-17T07:12:04.7861196Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:04.7861574Z 2025-07-17T07:12:04.9486273Z msg = Cannot scrape callname=Conv1d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py line=354. 2025-07-17T07:12:04.9487251Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:04.9487874Z Applies a 1D convolution over a quantized input signal composed of 2025-07-17T07:12:04.9488303Z several quantized input planes. 2025-07-17T07:12:04.9488527Z 2025-07-17T07:12:04.9488737Z For details on input arguments, parameters, and implementation see 2025-07-17T07:12:04.9489179Z :class:`~torch.nn.Conv1d`. 2025-07-17T07:12:04.9489364Z 2025-07-17T07:12:04.9489491Z .. note:: 2025-07-17T07:12:04.9489809Z Only `zeros` is supported for the :attr:`padding_mode` argument. 2025-07-17T07:12:04.9490133Z 2025-07-17T07:12:04.9490220Z .. note:: 2025-07-17T07:12:04.9490543Z Only `torch.quint8` is supported for the input data type. 2025-07-17T07:12:04.9490832Z 2025-07-17T07:12:04.9490836Z 2025-07-17T07:12:04.9490936Z Attributes: 2025-07-17T07:12:04.9491272Z weight (Tensor): packed tensor derived from the learnable weight 2025-07-17T07:12:04.9491701Z parameter. 2025-07-17T07:12:04.9492055Z scale (Tensor): scalar for the output scale 2025-07-17T07:12:04.9492712Z zero_point (Tensor): scalar for the output zero point 2025-07-17T07:12:04.9492999Z 2025-07-17T07:12:04.9493153Z See :class:`~torch.nn.Conv1d` for other attributes. 2025-07-17T07:12:04.9493411Z 2025-07-17T07:12:04.9493614Z Examples:: 2025-07-17T07:12:04.9493748Z 2025-07-17T07:12:04.9493909Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE) 2025-07-17T07:12:04.9494295Z >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2) 2025-07-17T07:12:04.9494655Z >>> input = torch.randn(20, 16, 100) 2025-07-17T07:12:04.9495097Z >>> # quantize input to quint8 2025-07-17T07:12:04.9495396Z >>> # xdoctest: +SKIP 2025-07-17T07:12:04.9495791Z >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0, 2025-07-17T07:12:04.9496256Z ... dtype=torch.quint8) 2025-07-17T07:12:04.9496590Z >>> output = m(q_input) 2025-07-17T07:12:04.9496785Z 2025-07-17T07:12:04.9496869Z 2025-07-17T07:12:04.9497238Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:04.9497602Z 2025-07-17T07:12:04.9675192Z msg = Cannot scrape callname=LSTM in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/rnn.py line=12. 2025-07-17T07:12:04.9676100Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:04.9676615Z A quantized long short-term memory (LSTM). 2025-07-17T07:12:04.9676856Z 2025-07-17T07:12:04.9677140Z For the description and the argument types, please, refer to :class:`~torch.nn.LSTM` 2025-07-17T07:12:04.9677533Z 2025-07-17T07:12:04.9677632Z Attributes: 2025-07-17T07:12:04.9677887Z layers : instances of the `_LSTMLayer` 2025-07-17T07:12:04.9678129Z 2025-07-17T07:12:04.9678227Z .. note:: 2025-07-17T07:12:04.9678568Z To access the weights and biases, you need to access them per layer. 2025-07-17T07:12:04.9679083Z See examples in :class:`~torch.ao.nn.quantizable.LSTM` 2025-07-17T07:12:04.9679372Z 2025-07-17T07:12:04.9679461Z Examples:: 2025-07-17T07:12:04.9679693Z >>> # xdoctest: +SKIP 2025-07-17T07:12:04.9679978Z >>> custom_module_config = { 2025-07-17T07:12:04.9680305Z ... 'float_to_observed_custom_module_class': { 2025-07-17T07:12:04.9680677Z ... nn.LSTM: nn.quantizable.LSTM, 2025-07-17T07:12:04.9680993Z ... }, 2025-07-17T07:12:04.9681277Z ... 'observed_to_quantized_custom_module_class': { 2025-07-17T07:12:04.9681674Z ... nn.quantizable.LSTM: nn.quantized.LSTM, 2025-07-17T07:12:04.9682012Z ... } 2025-07-17T07:12:04.9682231Z ... } 2025-07-17T07:12:04.9682569Z >>> tq.prepare(model, prepare_custom_module_class=custom_module_config) 2025-07-17T07:12:04.9683120Z >>> tq.convert(model, convert_custom_module_class=custom_module_config) 2025-07-17T07:12:04.9683533Z 2025-07-17T07:12:04.9683888Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:04.9684270Z 2025-07-17T07:12:05.0271224Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-07-17T07:12:05.0272417Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.0272843Z 2025-07-17T07:12:05.0273107Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-07-17T07:12:05.0273728Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-07-17T07:12:05.0274302Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-07-17T07:12:05.0274760Z input by the user. 2025-07-17T07:12:05.0275129Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-07-17T07:12:05.0275623Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-07-17T07:12:05.0276137Z 2025-07-17T07:12:05.0276233Z Note:: 2025-07-17T07:12:05.0276668Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-07-17T07:12:05.0277102Z 2025-07-17T07:12:05.0277194Z Args: 2025-07-17T07:12:05.0277395Z model (nn.Module): 2025-07-17T07:12:05.0277789Z The model whose layers will be sparsified. The layers that needs to be 2025-07-17T07:12:05.0278378Z sparsified should be added separately using the register_layer() function 2025-07-17T07:12:05.0278861Z aggregate_fn (Optional, Callable): 2025-07-17T07:12:05.0279442Z default aggregate_fn that is used if not specified while registering the layer. 2025-07-17T07:12:05.0279996Z specifies how inputs should be aggregated over time. 2025-07-17T07:12:05.0280562Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-07-17T07:12:05.0281041Z Example 2025-07-17T07:12:05.0281357Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-07-17T07:12:05.0281771Z reduce_fn (Optional, Callable): 2025-07-17T07:12:05.0282239Z default reduce_fn that is used if not specified while registering the layer. 2025-07-17T07:12:05.0282843Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-07-17T07:12:05.0283334Z calling agg_fn() on all inputs. 2025-07-17T07:12:05.0283652Z Example 2025-07-17T07:12:05.0283992Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-07-17T07:12:05.0284426Z mask_fn (Optional, Callable): 2025-07-17T07:12:05.0284957Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-07-17T07:12:05.0285638Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-07-17T07:12:05.0286098Z register_layer(). 2025-07-17T07:12:05.0286646Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-07-17T07:12:05.0287200Z arguments. 2025-07-17T07:12:05.0287467Z features (Optional, list): 2025-07-17T07:12:05.0287813Z default selected features to sparsify. 2025-07-17T07:12:05.0288319Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-07-17T07:12:05.0288791Z For example, 2025-07-17T07:12:05.0289223Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-07-17T07:12:05.0289708Z feature_dim (Optional, int): 2025-07-17T07:12:05.0290211Z default dimension of input features. Again, features along this dim will be chosen 2025-07-17T07:12:05.0290700Z for sparsification. 2025-07-17T07:12:05.0291004Z sparse_config (Dict): 2025-07-17T07:12:05.0291418Z Default configuration for the mask_fn. This config will be passed 2025-07-17T07:12:05.0291854Z with the mask_fn() 2025-07-17T07:12:05.0292134Z 2025-07-17T07:12:05.0292219Z Example: 2025-07-17T07:12:05.0292441Z >>> # xdoctest: +SKIP 2025-07-17T07:12:05.0292707Z >>> model = SomeModel() 2025-07-17T07:12:05.0293115Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-07-17T07:12:05.0293761Z >>> # Initialize aggregate_fn 2025-07-17T07:12:05.0294140Z >>> def agg_fn(x, y): 2025-07-17T07:12:05.0294389Z >>> return x + y 2025-07-17T07:12:05.0294646Z >>> 2025-07-17T07:12:05.0294865Z >>> # Initialize reduce_fn 2025-07-17T07:12:05.0295136Z >>> def reduce_fn(x): 2025-07-17T07:12:05.0295412Z >>> return torch.mean(x, dim=0) 2025-07-17T07:12:05.0295712Z >>> 2025-07-17T07:12:05.0295912Z >>> # Initialize mask_fn 2025-07-17T07:12:05.0296188Z >>> def mask_fn(data): 2025-07-17T07:12:05.0296502Z >>> return torch.eye(data.shape).to(data.device) 2025-07-17T07:12:05.0296947Z >>> 2025-07-17T07:12:05.0297150Z >>> 2025-07-17T07:12:05.0297388Z >>> act_sparsifier.register_layer( 2025-07-17T07:12:05.0297697Z ... model.some_layer, 2025-07-17T07:12:05.0297982Z ... aggregate_fn=agg_fn, 2025-07-17T07:12:05.0298272Z ... reduce_fn=reduce_fn, 2025-07-17T07:12:05.0298556Z ... mask_fn=mask_fn, 2025-07-17T07:12:05.0298805Z ... ) 2025-07-17T07:12:05.0299004Z >>> 2025-07-17T07:12:05.0299299Z >>> # start training process 2025-07-17T07:12:05.0299570Z >>> for _ in [...]: 2025-07-17T07:12:05.0299917Z >>> # epoch starts 2025-07-17T07:12:05.0300242Z >>> # model.forward(), compute_loss() and model.backwards() 2025-07-17T07:12:05.0300607Z >>> # epoch ends 2025-07-17T07:12:05.0300862Z >>> act_sparsifier.step() 2025-07-17T07:12:05.0301164Z >>> # end training process 2025-07-17T07:12:05.0301444Z >>> sparsifier.squash_mask() 2025-07-17T07:12:05.0301653Z 2025-07-17T07:12:05.0301908Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.0302275Z 2025-07-17T07:12:05.0303151Z msg = Cannot scrape callname=BaseDataScheduler.get_schedule_param in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py line=91. 2025-07-17T07:12:05.0304354Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.0304730Z 2025-07-17T07:12:05.0304948Z Abstract method that needs to be implemented by the child class. 2025-07-17T07:12:05.0305514Z The expected return type should is a dictionary of name to schedule_param value 2025-07-17T07:12:05.0306153Z The returned values will be updated in sparsifier when the scheduler step() function 2025-07-17T07:12:05.0306632Z is called. 2025-07-17T07:12:05.0306750Z 2025-07-17T07:12:05.0306833Z Example: 2025-07-17T07:12:05.0307059Z >>> def get_schedule_param(self): 2025-07-17T07:12:05.0307369Z ... new_param = {} 2025-07-17T07:12:05.0307681Z ... for name in self.sparsifier.data_groups.keys(): 2025-07-17T07:12:05.0308050Z ... new_param[name] = ( 2025-07-17T07:12:05.0308454Z ... self.sparsifier.data_groups[name][self.schedule_param] * 0.5 2025-07-17T07:12:05.0308864Z ... ) 2025-07-17T07:12:05.0309088Z ... return new_param 2025-07-17T07:12:05.0309274Z 2025-07-17T07:12:05.0309612Z When the step() function is called, the value in self.sparsifier.data_groups[name][self.schedule_param] 2025-07-17T07:12:05.0310159Z would be halved 2025-07-17T07:12:05.0310298Z 2025-07-17T07:12:05.0310547Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.0310924Z 2025-07-17T07:12:05.0523956Z msg = Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229. 2025-07-17T07:12:05.0525036Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.0525604Z Squashes the sparse masks into the appropriate tensors. 2025-07-17T07:12:05.0525883Z 2025-07-17T07:12:05.0526101Z If either the `params_to_keep` or `params_to_keep_per_layer` is set, 2025-07-17T07:12:05.0526596Z the module will have a `sparse_params` dict attached to it. 2025-07-17T07:12:05.0526900Z 2025-07-17T07:12:05.0526983Z Args: 2025-07-17T07:12:05.0527297Z params_to_keep: List of keys to save in the module or a dict 2025-07-17T07:12:05.0527753Z representing the modules and keys that will have 2025-07-17T07:12:05.0528156Z sparsity parameters saved 2025-07-17T07:12:05.0528600Z params_to_keep_per_layer: Dict to specify the params that should be 2025-07-17T07:12:05.0529084Z saved for specific layers. The keys in the dict 2025-07-17T07:12:05.0529499Z should be the module fqn, while the values should 2025-07-17T07:12:05.0530150Z be a list of strings with the names of the variables 2025-07-17T07:12:05.0530557Z to save in the `sparse_params` 2025-07-17T07:12:05.0530792Z 2025-07-17T07:12:05.0530885Z Examples: 2025-07-17T07:12:05.0531173Z >>> # xdoctest: +SKIP("locals are undefined") 2025-07-17T07:12:05.0531539Z >>> # Don't save any sparse params 2025-07-17T07:12:05.0531884Z >>> sparsifier.squash_mask() 2025-07-17T07:12:05.0532340Z >>> hasattr(model.submodule1, "sparse_params") 2025-07-17T07:12:05.0532677Z False 2025-07-17T07:12:05.0532813Z 2025-07-17T07:12:05.0532943Z >>> # Keep sparse params per layer 2025-07-17T07:12:05.0533266Z >>> sparsifier.squash_mask( 2025-07-17T07:12:05.0533600Z ... params_to_keep_per_layer={ 2025-07-17T07:12:05.0533958Z ... "submodule1.linear1": ("foo", "bar"), 2025-07-17T07:12:05.0534333Z ... "submodule2.linear42": ("baz",), 2025-07-17T07:12:05.0534645Z ... } 2025-07-17T07:12:05.0534878Z ... ) 2025-07-17T07:12:05.0535168Z >>> print(model.submodule1.linear1.sparse_params) 2025-07-17T07:12:05.0535521Z {'foo': 42, 'bar': 24} 2025-07-17T07:12:05.0535870Z >>> print(model.submodule2.linear42.sparse_params) 2025-07-17T07:12:05.0536231Z {'baz': 0.1} 2025-07-17T07:12:05.0536389Z 2025-07-17T07:12:05.0536510Z >>> # Keep sparse params for all layers 2025-07-17T07:12:05.0536925Z >>> sparsifier.squash_mask(params_to_keep=("foo", "bar")) 2025-07-17T07:12:05.0537372Z >>> print(model.submodule1.linear1.sparse_params) 2025-07-17T07:12:05.0537738Z {'foo': 42, 'bar': 24} 2025-07-17T07:12:05.0538075Z >>> print(model.submodule2.linear42.sparse_params) 2025-07-17T07:12:05.0538438Z {'foo': 42, 'bar': 24} 2025-07-17T07:12:05.0538648Z 2025-07-17T07:12:05.0538845Z >>> # Keep some sparse params for all layers, and specific ones for 2025-07-17T07:12:05.0539342Z >>> # some other layers 2025-07-17T07:12:05.0539640Z >>> sparsifier.squash_mask( 2025-07-17T07:12:05.0539973Z ... params_to_keep=("foo", "bar"), 2025-07-17T07:12:05.0540394Z ... params_to_keep_per_layer={"submodule2.linear42": ("baz",)}, 2025-07-17T07:12:05.0540791Z ... ) 2025-07-17T07:12:05.0541074Z >>> print(model.submodule1.linear1.sparse_params) 2025-07-17T07:12:05.0541445Z {'foo': 42, 'bar': 24} 2025-07-17T07:12:05.0541795Z >>> print(model.submodule2.linear42.sparse_params) 2025-07-17T07:12:05.0542162Z {'foo': 42, 'bar': 24, 'baz': 0.1} 2025-07-17T07:12:05.0542464Z 2025-07-17T07:12:05.0542830Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.0543198Z 2025-07-17T07:12:05.1325624Z msg = Cannot scrape callname=DTypeConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181. 2025-07-17T07:12:05.1326716Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.1327115Z 2025-07-17T07:12:05.1327369Z Config object that specifies the supported data types passed as arguments to 2025-07-17T07:12:05.1327979Z quantize ops in the reference model spec, for input and output activations, 2025-07-17T07:12:05.1328420Z weights, and biases. 2025-07-17T07:12:05.1328586Z 2025-07-17T07:12:05.1328777Z For example, consider the following reference model: 2025-07-17T07:12:05.1329054Z 2025-07-17T07:12:05.1329214Z quant1 - [dequant1 - fp32_linear - quant2] - dequant2 2025-07-17T07:12:05.1329471Z 2025-07-17T07:12:05.1329692Z The pattern in the square brackets refers to the reference pattern of 2025-07-17T07:12:05.1330256Z statically quantized linear. Setting the input dtype as `torch.quint8` 2025-07-17T07:12:05.1331082Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument 2025-07-17T07:12:05.1331646Z to the first quantize op (quant1). Similarly, setting the output dtype as 2025-07-17T07:12:05.1332207Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to 2025-07-17T07:12:05.1332644Z the second quantize op (quant2). 2025-07-17T07:12:05.1332853Z 2025-07-17T07:12:05.1333066Z Note that the dtype here does not refer to the interface dtypes of the 2025-07-17T07:12:05.1333607Z op. For example, the "input dtype" here is not the dtype of the input 2025-07-17T07:12:05.1334241Z tensor passed to the quantized linear op. Though it can still be the 2025-07-17T07:12:05.1334760Z same as the interface dtype, this is not always the case, e.g. the 2025-07-17T07:12:05.1335289Z interface dtype is fp32 in dynamic quantization but the "input dtype" 2025-07-17T07:12:05.1335832Z specified in the DTypeConfig would still be quint8. The semantics of 2025-07-17T07:12:05.1336353Z dtypes here are the same as the semantics of the dtypes specified in 2025-07-17T07:12:05.1336767Z the observers. 2025-07-17T07:12:05.1336900Z 2025-07-17T07:12:05.1337113Z These dtypes are matched against the ones specified in the user's 2025-07-17T07:12:05.1337650Z QConfig. If there is a match, and the QConfig satisfies the constraints 2025-07-17T07:12:05.1338187Z specified in the DTypeConfig (if any), then we will quantize the given 2025-07-17T07:12:05.1338745Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and 2025-07-17T07:12:05.1339277Z the pattern will not be quantized. 2025-07-17T07:12:05.1339478Z 2025-07-17T07:12:05.1339595Z Example usage:: 2025-07-17T07:12:05.1339742Z 2025-07-17T07:12:05.1339843Z >>> # xdoctest: +SKIP(failing) 2025-07-17T07:12:05.1340151Z >>> dtype_config1 = DTypeConfig( 2025-07-17T07:12:05.1340475Z ... input_dtype=torch.quint8, 2025-07-17T07:12:05.1340783Z ... output_dtype=torch.quint8, 2025-07-17T07:12:05.1341103Z ... weight_dtype=torch.qint8, 2025-07-17T07:12:05.1341421Z ... bias_dtype=torch.float) 2025-07-17T07:12:05.1341623Z 2025-07-17T07:12:05.1341727Z >>> dtype_config2 = DTypeConfig( 2025-07-17T07:12:05.1342061Z ... input_dtype=DTypeWithConstraints( 2025-07-17T07:12:05.1342398Z ... dtype=torch.quint8, 2025-07-17T07:12:05.1342691Z ... quant_min_lower_bound=0, 2025-07-17T07:12:05.1343011Z ... quant_max_upper_bound=255, 2025-07-17T07:12:05.1343311Z ... ), 2025-07-17T07:12:05.1343557Z ... output_dtype=DTypeWithConstraints( 2025-07-17T07:12:05.1343901Z ... dtype=torch.quint8, 2025-07-17T07:12:05.1344202Z ... quant_min_lower_bound=0, 2025-07-17T07:12:05.1344522Z ... quant_max_upper_bound=255, 2025-07-17T07:12:05.1344810Z ... ), 2025-07-17T07:12:05.1345068Z ... weight_dtype=DTypeWithConstraints( 2025-07-17T07:12:05.1345407Z ... dtype=torch.qint8, 2025-07-17T07:12:05.1345704Z ... quant_min_lower_bound=-128, 2025-07-17T07:12:05.1346042Z ... quant_max_upper_bound=127, 2025-07-17T07:12:05.1346340Z ... ), 2025-07-17T07:12:05.1346562Z ... bias_dtype=torch.float) 2025-07-17T07:12:05.1346768Z 2025-07-17T07:12:05.1346871Z >>> dtype_config1.input_dtype 2025-07-17T07:12:05.1347155Z torch.quint8 2025-07-17T07:12:05.1347290Z 2025-07-17T07:12:05.1347394Z >>> dtype_config2.input_dtype 2025-07-17T07:12:05.1347681Z torch.quint8 2025-07-17T07:12:05.1347827Z 2025-07-17T07:12:05.1347959Z >>> dtype_config2.input_dtype_with_constraints 2025-07-17T07:12:05.1348753Z DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None) 2025-07-17T07:12:05.1349400Z 2025-07-17T07:12:05.1349651Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.1350031Z 2025-07-17T07:12:05.2312830Z msg = Cannot scrape callname=ModelReport in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report.py line=24. 2025-07-17T07:12:05.2314180Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.2314571Z 2025-07-17T07:12:05.2314879Z The ModelReport class aims to provide users an easy way to diagnose issues that they run into 2025-07-17T07:12:05.2315602Z with their models. The class works with all traceable GraphModules to help diagnose issues, 2025-07-17T07:12:05.2316310Z though the requirements on the type of model more-so depends on the specific report the user 2025-07-17T07:12:05.2317180Z is trying to generate. With respect to the reports, the ModelReport class is initialized with 2025-07-17T07:12:05.2317876Z a set of Detector classes, each of which generate reports on quantization configuration 2025-07-17T07:12:05.2318377Z issues a use might have. 2025-07-17T07:12:05.2318547Z 2025-07-17T07:12:05.2318688Z Currently supports generating reports on: 2025-07-17T07:12:05.2319146Z - Suggestions for per-channel vs. per-tensor quantization (nn.Module) 2025-07-17T07:12:05.2319759Z - Suggestions for dynamic vs static quantization for linear layers (Graph Modules) 2025-07-17T07:12:05.2320439Z - Suggestions for input-weight equalization for linear and conv layers (Graph Modules) 2025-07-17T07:12:05.2321054Z - Suggestions for outlier detection for all layers (Graph Modules) 2025-07-17T07:12:05.2321390Z 2025-07-17T07:12:05.2321782Z The ModelReport class has the primary functionality of inserting observers (primarily the ModelReportObserver) 2025-07-17T07:12:05.2322678Z where needed for each detector to gather the information it needs, and then after calibration, the ModelReport 2025-07-17T07:12:05.2323549Z class compiles the report generated by each Detector class into a single report to return to the user. It also 2025-07-17T07:12:05.2324245Z has the capability to remove all the observers it inserted as well. 2025-07-17T07:12:05.2324581Z 2025-07-17T07:12:05.2324856Z * :attr:`_model` The model we wish to generate the report for. Must be a traceable GraphModule 2025-07-17T07:12:05.2325272Z 2025-07-17T07:12:05.2325640Z * :attr:`_desired_report_detectors` The set of Detectors representing desired reports from the ModelReport class 2025-07-17T07:12:05.2326450Z Make sure that these are all unique types of detectors [do not have more than 1 of the same class] 2025-07-17T07:12:05.2326879Z 2025-07-17T07:12:05.2327166Z * :attr:`_desired_detector_names` The set of detector names of the _desired_report_detectors. 2025-07-17T07:12:05.2327809Z This set is generated by calling the get_detector_name() of each detector 2025-07-17T07:12:05.2328161Z 2025-07-17T07:12:05.2328491Z * :attr:`_detector_name_to_observer_fqns` The mapping from each detector to fqns of observers of interest 2025-07-17T07:12:05.2329266Z The purpose of this is to keep track of what observers were inserted for each detector, so that they 2025-07-17T07:12:05.2329798Z can be removed at the end if desired 2025-07-17T07:12:05.2330028Z 2025-07-17T07:12:05.2330342Z * :attr:`_prepared_flag` A boolean flag that keeps track of whether we have prepared the model or not 2025-07-17T07:12:05.2331011Z This is to ensure we only insert observers once with the ModelReport instance 2025-07-17T07:12:05.2331366Z 2025-07-17T07:12:05.2331631Z * :attr:`_removed_observers` A boolean to track if we have removed observers already 2025-07-17T07:12:05.2332284Z The purpose is to ensure we don't attempt to remove observers twice with the same ModelReport 2025-07-17T07:12:05.2333023Z instance. This also allows the functionality where we can generate the report multiple times 2025-07-17T07:12:05.2333601Z as long as we haven't removed the observers yet. 2025-07-17T07:12:05.2333849Z 2025-07-17T07:12:05.2333942Z Note: 2025-07-17T07:12:05.2334341Z This class was initially designed to work with the Fx Graph Mode workflow in mind. However, 2025-07-17T07:12:05.2335071Z full functionality is available as long as there is a traceable GraphModule that is being used. 2025-07-17T07:12:05.2335878Z One method to get a traceable GraphModule without going through the Fx workflow is to use 2025-07-17T07:12:05.2336392Z the QuantizationTracer class. 2025-07-17T07:12:05.2336604Z 2025-07-17T07:12:05.2336706Z General Flow for Fx workflow: 2025-07-17T07:12:05.2337284Z 1.) Initialize ModelReport object with reports of interest by passing in initialized detector objects and model 2025-07-17T07:12:05.2337915Z 2.) Prepare your model with prepare_fx 2025-07-17T07:12:05.2338366Z 3.) Call model_report.prepare_detailed_calibration to add relevant observers 2025-07-17T07:12:05.2338903Z 4.) Calibrate your model with data 2025-07-17T07:12:05.2339546Z 5.) Call model_report.generate_report on your model to generate report and optionally remove added observers 2025-07-17T07:12:05.2340097Z Optional 2025-07-17T07:12:05.2340493Z 6.) Call model_report.generate_visualizer to get a ModelReportVisualizer instance 2025-07-17T07:12:05.2341135Z 7.) To help in parsing report information and debugging, view report info as a: 2025-07-17T07:12:05.2341601Z - Table 2025-07-17T07:12:05.2341818Z - Histogram 2025-07-17T07:12:05.2342056Z - Line plot 2025-07-17T07:12:05.2342524Z 8.) Call model_report.generate_qconfigs to generate the qconfigs based on the report suggestions 2025-07-17T07:12:05.2342956Z 2025-07-17T07:12:05.2343070Z Example (with QuantizationTracer): 2025-07-17T07:12:05.2343378Z >>> # xdoctest: +SKIP 2025-07-17T07:12:05.2343653Z >>> # get the necessary qconfig 2025-07-17T07:12:05.2343962Z >>> config = PrepareCustomConfig() 2025-07-17T07:12:05.2344341Z >>> skipped_module_names, skipped_module_classes = ( 2025-07-17T07:12:05.2344762Z ... get_skipped_module_name_and_classes(config, False) 2025-07-17T07:12:05.2345117Z ... ) 2025-07-17T07:12:05.2345235Z 2025-07-17T07:12:05.2345361Z >>> # initialize our model and get GraphModule 2025-07-17T07:12:05.2345709Z >>> model = SomeModel() 2025-07-17T07:12:05.2346147Z >>> tracer = QuantizationTracer(skipped_module_names, skipped_module_classes) 2025-07-17T07:12:05.2346680Z >>> graph_module = GraphModule(model, tracer.trace(model)) 2025-07-17T07:12:05.2346974Z 2025-07-17T07:12:05.2347124Z >>> # get our set of detectors and ModelReport instance 2025-07-17T07:12:05.2347492Z >>> detector_set = set( 2025-07-17T07:12:05.2347742Z ... [ 2025-07-17T07:12:05.2348012Z ... DynamicStaticDetector(tolerance=0.5), 2025-07-17T07:12:05.2348457Z ... InputWeightEqualizationDetector(ratio_threshold=0.7), 2025-07-17T07:12:05.2348851Z ... ] 2025-07-17T07:12:05.2349053Z ... ) 2025-07-17T07:12:05.2349389Z >>> tracer_reporter = ModelReport(graph_module, tracer_detector_set) 2025-07-17T07:12:05.2349713Z 2025-07-17T07:12:05.2349876Z >>> # now we insert the observers and calibrate the model 2025-07-17T07:12:05.2350390Z >>> tracer_model_with_observers = tracer_reporter.prepare_detailed_calibration() 2025-07-17T07:12:05.2350903Z >>> for i in range(num_callibration_batches): 2025-07-17T07:12:05.2351280Z >>> example_input = get_callibration_input() 2025-07-17T07:12:05.2351663Z >>> tracer_model_with_observers(example_input) 2025-07-17T07:12:05.2351905Z 2025-07-17T07:12:05.2352161Z >>> # finally we generate the reports and optionally remove the observers we inserted 2025-07-17T07:12:05.2352695Z >>> reports = tracer_reporter.generate_model_report( 2025-07-17T07:12:05.2353073Z ... remove_inserted_observers=True 2025-07-17T07:12:05.2353370Z ... ) 2025-07-17T07:12:05.2353496Z 2025-07-17T07:12:05.2353722Z >>> # Optional: we can generate the qconfig mapping based on the suggestions 2025-07-17T07:12:05.2354222Z >>> qconfigs = model_report.generate_qconfig_mapping() 2025-07-17T07:12:05.2354488Z 2025-07-17T07:12:05.2354738Z >>> # Optional: we can generate the equalization mapping based on the suggestions 2025-07-17T07:12:05.2355269Z >>> qconfigs = model_report.generate_equalization_mapping() 2025-07-17T07:12:05.2355707Z 2025-07-17T07:12:05.2355986Z >>> # Optional: we get a ModelReportVisualizer instance to do any visualizations desired 2025-07-17T07:12:05.2356603Z >>> model_report_visualizer = tracer_reporter.generate_visualizer() 2025-07-17T07:12:05.2356925Z 2025-07-17T07:12:05.2356929Z 2025-07-17T07:12:05.2357191Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.2357556Z 2025-07-17T07:12:05.2385949Z msg = Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301. 2025-07-17T07:12:05.2387564Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.2387956Z 2025-07-17T07:12:05.2388222Z Takes in optional filter values and generates two tables with desired information. 2025-07-17T07:12:05.2388603Z 2025-07-17T07:12:05.2388823Z The generated tables are presented in both a list-of-lists format 2025-07-17T07:12:05.2389151Z 2025-07-17T07:12:05.2389366Z The reason for the two tables are that they handle different things: 2025-07-17T07:12:05.2389837Z 1.) the first table handles all tensor level information 2025-07-17T07:12:05.2390325Z 2.) the second table handles and displays all channel based information 2025-07-17T07:12:05.2390752Z 2025-07-17T07:12:05.2391128Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2025-07-17T07:12:05.2392050Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2025-07-17T07:12:05.2392843Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2025-07-17T07:12:05.2393323Z 2025-07-17T07:12:05.2393419Z Tensor table columns: 2025-07-17T07:12:05.2393769Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2025-07-17T07:12:05.2394298Z ---- --------- --------- --------- --------- --------- 2025-07-17T07:12:05.2394609Z 2025-07-17T07:12:05.2394779Z Per-Channel table columns: 2025-07-17T07:12:05.2395197Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2025-07-17T07:12:05.2395704Z ---- --------- ------- --------- --------- --------- --------- 2025-07-17T07:12:05.2395985Z 2025-07-17T07:12:05.2396066Z Args: 2025-07-17T07:12:05.2396447Z feature_filter (str, optional): Filters the features presented to only those that 2025-07-17T07:12:05.2396940Z contain this filter substring 2025-07-17T07:12:05.2397308Z Default = "", results in all the features being printed 2025-07-17T07:12:05.2397848Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-07-17T07:12:05.2398479Z Default = "", results in all the modules in the reports to be visible in the table 2025-07-17T07:12:05.2398841Z 2025-07-17T07:12:05.2398965Z Returns a dictionary with two keys: 2025-07-17T07:12:05.2399341Z (Dict[str, Tuple[List, List]]) A dict containing two keys: 2025-07-17T07:12:05.2399754Z "tensor_level_info", "channel_level_info" 2025-07-17T07:12:05.2400094Z Each key maps to a tuple with: 2025-07-17T07:12:05.2400459Z A list of the headers of each table 2025-07-17T07:12:05.2400854Z A list of lists containing the table information row by row 2025-07-17T07:12:05.2401322Z The 0th index row will contain the headers of the columns 2025-07-17T07:12:05.2401731Z The rest of the rows will contain data 2025-07-17T07:12:05.2401965Z 2025-07-17T07:12:05.2402068Z Example Use: 2025-07-17T07:12:05.2402314Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:05.2402703Z >>> mod_report_visualizer.generate_filtered_tables( 2025-07-17T07:12:05.2403156Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-07-17T07:12:05.2403722Z ... ) # generates table with per_channel_min info for all modules in block 1 of the model 2025-07-17T07:12:05.2404279Z 2025-07-17T07:12:05.2404530Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.2404906Z 2025-07-17T07:12:05.2405814Z msg = Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=399. 2025-07-17T07:12:05.2407096Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.2407471Z 2025-07-17T07:12:05.2407825Z Takes in optional filter values and prints out formatted tables of the information. 2025-07-17T07:12:05.2408216Z 2025-07-17T07:12:05.2408554Z The reason for the two tables printed out instead of one large one are that they handle different things: 2025-07-17T07:12:05.2409177Z 1.) the first table handles all tensor level information 2025-07-17T07:12:05.2409665Z 2.) the second table handles and displays all channel based information 2025-07-17T07:12:05.2409996Z 2025-07-17T07:12:05.2410306Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2025-07-17T07:12:05.2411069Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2025-07-17T07:12:05.2411867Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2025-07-17T07:12:05.2412334Z 2025-07-17T07:12:05.2412440Z Tensor table columns: 2025-07-17T07:12:05.2412780Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2025-07-17T07:12:05.2413234Z ---- --------- --------- --------- --------- --------- 2025-07-17T07:12:05.2413507Z 2025-07-17T07:12:05.2413608Z Per-Channel table columns: 2025-07-17T07:12:05.2413784Z 2025-07-17T07:12:05.2414015Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2025-07-17T07:12:05.2414503Z ---- --------- ------- --------- --------- --------- --------- 2025-07-17T07:12:05.2414796Z 2025-07-17T07:12:05.2414876Z Args: 2025-07-17T07:12:05.2415264Z feature_filter (str, optional): Filters the features presented to only those that 2025-07-17T07:12:05.2415743Z contain this filter substring 2025-07-17T07:12:05.2416122Z Default = "", results in all the features being printed 2025-07-17T07:12:05.2416663Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-07-17T07:12:05.2417289Z Default = "", results in all the modules in the reports to be visible in the table 2025-07-17T07:12:05.2417655Z 2025-07-17T07:12:05.2417743Z Example Use: 2025-07-17T07:12:05.2417999Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:05.2418399Z >>> mod_report_visualizer.generate_table_visualization( 2025-07-17T07:12:05.2418857Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-07-17T07:12:05.2419355Z ... ) 2025-07-17T07:12:05.2419668Z >>> # prints out neatly formatted table with per_channel_min info 2025-07-17T07:12:05.2420107Z >>> # for all modules in block 1 of the model 2025-07-17T07:12:05.2420340Z 2025-07-17T07:12:05.2420588Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.2420964Z 2025-07-17T07:12:05.2421866Z msg = Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=564. 2025-07-17T07:12:05.2423140Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.2423515Z 2025-07-17T07:12:05.2423759Z Takes in a feature and optional module_filter and plots of the desired data. 2025-07-17T07:12:05.2424107Z 2025-07-17T07:12:05.2424374Z For per channel features, it averages the value across the channels and plots a point 2025-07-17T07:12:05.2425028Z per module. The reason for this is that for models with hundreds of channels, it can 2025-07-17T07:12:05.2425761Z be hard to differentiate one channel line from another, and so the point of generating 2025-07-17T07:12:05.2426431Z a single average point per module is to give a sense of general trends that encourage 2025-07-17T07:12:05.2426906Z further deep dives. 2025-07-17T07:12:05.2427066Z 2025-07-17T07:12:05.2427146Z Note: 2025-07-17T07:12:05.2427532Z Only features in the report that have tensor value data are plottable by this class 2025-07-17T07:12:05.2428077Z When the tensor information is plotted, it will plot: 2025-07-17T07:12:05.2428549Z idx as the x val, feature value as the y_val 2025-07-17T07:12:05.2428962Z When the channel information is plotted, it will plot: 2025-07-17T07:12:05.2429502Z the first idx of each module as the x val, feature value as the y_val [for each channel] 2025-07-17T07:12:05.2430101Z The reason for this is that we want to be able to compare values across the 2025-07-17T07:12:05.2430690Z channels for same layer, and it will be hard if values are staggered by idx 2025-07-17T07:12:05.2431213Z This means each module is represented by only 1 x value 2025-07-17T07:12:05.2431567Z Args: 2025-07-17T07:12:05.2431910Z feature_filter (str): Filters the features presented to only those that 2025-07-17T07:12:05.2432361Z contain this filter substring 2025-07-17T07:12:05.2432821Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-07-17T07:12:05.2433446Z Default = "", results in all the modules in the reports to be visible in the table 2025-07-17T07:12:05.2433821Z 2025-07-17T07:12:05.2433908Z Example Use: 2025-07-17T07:12:05.2434165Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:05.2434555Z >>> mod_report_visualizer.generate_plot_visualization( 2025-07-17T07:12:05.2435020Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-07-17T07:12:05.2435415Z ... ) 2025-07-17T07:12:05.2435711Z >>> # outputs line plot of per_channel_min information for all 2025-07-17T07:12:05.2436186Z >>> # modules in block1 of model each channel gets it's own line, 2025-07-17T07:12:05.2436655Z >>> # and it's plotted across the in-order modules on the x-axis 2025-07-17T07:12:05.2436938Z 2025-07-17T07:12:05.2437197Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.2437564Z 2025-07-17T07:12:05.2438492Z msg = Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=643. 2025-07-17T07:12:05.2439793Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.2440191Z 2025-07-17T07:12:05.2440467Z Takes in a feature and optional module_filter and plots the histogram of desired data. 2025-07-17T07:12:05.2440876Z 2025-07-17T07:12:05.2440954Z Note: 2025-07-17T07:12:05.2441340Z Only features in the report that have tensor value data can be viewed as a histogram 2025-07-17T07:12:05.2441992Z If you want to plot a histogram from all the channel values of a specific feature for 2025-07-17T07:12:05.2442606Z a specific model, make sure to specify both the model and the feature properly 2025-07-17T07:12:05.2443220Z in the filters and you should be able to see a distribution of the channel data 2025-07-17T07:12:05.2443580Z 2025-07-17T07:12:05.2443672Z Args: 2025-07-17T07:12:05.2444042Z feature_filter (str, optional): Filters the features presented to only those that 2025-07-17T07:12:05.2444535Z contain this filter substring 2025-07-17T07:12:05.2444907Z Default = "", results in all the features being printed 2025-07-17T07:12:05.2445445Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-07-17T07:12:05.2446056Z Default = "", results in all the modules in the reports to be visible in the table 2025-07-17T07:12:05.2446717Z num_bins (int, optional): The number of bins to create the histogram with 2025-07-17T07:12:05.2447250Z Default = 10, the values will be split into 10 equal sized bins 2025-07-17T07:12:05.2447547Z 2025-07-17T07:12:05.2447635Z Example Use: 2025-07-17T07:12:05.2447868Z >>> # xdoctest: +SKIP 2025-07-17T07:12:05.2448342Z >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization( 2025-07-17T07:12:05.2448953Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-07-17T07:12:05.2449335Z ... ) 2025-07-17T07:12:05.2449788Z # outputs histogram of per_channel_min information for all modules in block1 of model 2025-07-17T07:12:05.2450445Z information is gathered across all channels for all modules in block 1 for the 2025-07-17T07:12:05.2451028Z per_channel_min and is displayed in a histogram of equally sized bins 2025-07-17T07:12:05.2451375Z 2025-07-17T07:12:05.2451624Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.2452001Z 2025-07-17T07:12:05.3667986Z msg = Cannot scrape callname=record_function in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py line=734. 2025-07-17T07:12:05.3669071Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.3670185Z Context manager/function decorator that adds a label to a code block/function when running autograd profiler. 2025-07-17T07:12:05.3670929Z Label will only appear if CPU activity tracing is enabled. 2025-07-17T07:12:05.3671250Z 2025-07-17T07:12:05.3671414Z It is useful when tracing the code profile. 2025-07-17T07:12:05.3671687Z 2025-07-17T07:12:05.3671781Z Args: 2025-07-17T07:12:05.3672032Z name (str): Label assigned to the block of code. 2025-07-17T07:12:05.3672542Z node_id (int): ID of node, for distributed profiling. Unset in 2025-07-17T07:12:05.3672961Z non-distributed cases. 2025-07-17T07:12:05.3673206Z 2025-07-17T07:12:05.3673303Z Example: 2025-07-17T07:12:05.3673604Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD_PROFILER) 2025-07-17T07:12:05.3674106Z >>> x = torch.randn((1, 1), requires_grad=True) 2025-07-17T07:12:05.3674512Z >>> with torch.autograd.profiler.profile() as prof: 2025-07-17T07:12:05.3674939Z ... y = x**2 2025-07-17T07:12:05.3675259Z ... with torch.autograd.profiler.record_function( 2025-07-17T07:12:05.3675703Z ... "label-z" 2025-07-17T07:12:05.3675981Z ... ): # label the block 2025-07-17T07:12:05.3676330Z ... z = y**3 2025-07-17T07:12:05.3676599Z ... y.backward() 2025-07-17T07:12:05.3676873Z >>> # xdoctest: +IGNORE_WANT 2025-07-17T07:12:05.3677273Z >>> # NOTE: some columns were removed for brevity 2025-07-17T07:12:05.3677747Z >>> print(prof.key_averages().table(sort_by="self_cpu_time_total")) 2025-07-17T07:12:05.3678313Z ----------------------------------- --------------- --------------- --------------- 2025-07-17T07:12:05.3678875Z Name Self CPU total % CPU time avg Number of Calls 2025-07-17T07:12:05.3679419Z ----------------------------------- --------------- --------------- --------------- 2025-07-17T07:12:05.3679877Z pow 60.77% 47.470us 3 2025-07-17T07:12:05.3680329Z mul 21.73% 25.465us 2 2025-07-17T07:12:05.3680744Z PowBackward0 12.03% 121.891us 1 2025-07-17T07:12:05.3681345Z torch::autograd::AccumulateGrad 2.70% 6.324us 1 2025-07-17T07:12:05.3681890Z label-z 2.13% 12.421us 1 2025-07-17T07:12:05.3682359Z torch::autograd::GraphRoot 0.64% 1.503us 1 2025-07-17T07:12:05.3683178Z ----------------------------------- --------------- --------------- --------------- 2025-07-17T07:12:05.3683681Z Self CPU time total: 234.344us 2025-07-17T07:12:05.3684000Z CUDA time total: 0.000us 2025-07-17T07:12:05.3684259Z 2025-07-17T07:12:05.3684339Z 2025-07-17T07:12:05.3684709Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.3685149Z 2025-07-17T07:12:05.5242645Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py line=685. 2025-07-17T07:12:05.5243887Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:05.5244256Z 2025-07-17T07:12:05.5244570Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-07-17T07:12:05.5245218Z The submesh created consists of the dimensions and the communicators indicated by 2025-07-17T07:12:05.5245697Z ``mesh_dim_names`` 2025-07-17T07:12:05.5245854Z 2025-07-17T07:12:05.5245951Z Args: 2025-07-17T07:12:05.5246289Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-07-17T07:12:05.5246835Z mesh dimension of the DeviceMesh to create the submesh for. 2025-07-17T07:12:05.5247218Z Returns: 2025-07-17T07:12:05.5247443Z A :class:`DeviceMesh` object 2025-07-17T07:12:05.5247631Z 2025-07-17T07:12:05.5247908Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-07-17T07:12:05.5248411Z In the first example: 2025-07-17T07:12:05.5248821Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-07-17T07:12:05.5249421Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-07-17T07:12:05.5250010Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-07-17T07:12:05.5250578Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-07-17T07:12:05.5251145Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-07-17T07:12:05.5251696Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-07-17T07:12:05.5252044Z 2025-07-17T07:12:05.5252139Z In the second example: 2025-07-17T07:12:05.5252568Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-07-17T07:12:05.5253204Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-07-17T07:12:05.5253855Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-07-17T07:12:05.5254495Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-07-17T07:12:05.5254869Z 2025-07-17T07:12:05.5254992Z Example:: 2025-07-17T07:12:05.5255110Z 2025-07-17T07:12:05.5255215Z >>> # xdoctest: +SKIP("no rank") 2025-07-17T07:12:05.5255606Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-07-17T07:12:05.5255977Z >>> 2025-07-17T07:12:05.5256293Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-07-17T07:12:05.5256741Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-07-17T07:12:05.5257251Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-07-17T07:12:05.5257729Z >>> tp_mesh = mesh_2d["tp"] 2025-07-17T07:12:05.5258002Z >>> dp_mesh = mesh_2d["dp"] 2025-07-17T07:12:05.5258268Z >>> 2025-07-17T07:12:05.5258492Z >>> # Initialize a 3D mesh. 2025-07-17T07:12:05.5258946Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-07-17T07:12:05.5259736Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-07-17T07:12:05.5260278Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-07-17T07:12:05.5260742Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-07-17T07:12:05.5260955Z 2025-07-17T07:12:05.5261636Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2025-07-17T07:12:05.5262431Z 2025-07-17T07:12:05.5262677Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-07-17T07:12:05.5263170Z ^ 2025-07-17T07:12:05.5605278Z msg = Cannot scrape callname=batch_isend_irecv in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2706. 2025-07-17T07:12:05.5606325Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.5606706Z 2025-07-17T07:12:05.5606958Z Send or Receive a batch of tensors asynchronously and return a list of requests. 2025-07-17T07:12:05.5607338Z 2025-07-17T07:12:05.5607597Z Process each of the operations in ``p2p_op_list`` and return the corresponding 2025-07-17T07:12:05.5608162Z requests. NCCL, Gloo, and UCC backend are currently supported. 2025-07-17T07:12:05.5608468Z 2025-07-17T07:12:05.5608565Z Args: 2025-07-17T07:12:05.5608900Z p2p_op_list: A list of point-to-point operations(type of each operator is 2025-07-17T07:12:05.5609473Z ``torch.distributed.P2POp``). The order of the isend/irecv in the list 2025-07-17T07:12:05.5610038Z matters and it needs to match with corresponding isend/irecv on the 2025-07-17T07:12:05.5610446Z remote end. 2025-07-17T07:12:05.5610605Z 2025-07-17T07:12:05.5610690Z Returns: 2025-07-17T07:12:05.5611160Z A list of distributed request objects returned by calling the corresponding 2025-07-17T07:12:05.5611667Z op in the op_list. 2025-07-17T07:12:05.5611844Z 2025-07-17T07:12:05.5611958Z Examples: 2025-07-17T07:12:05.5612271Z >>> # xdoctest: +SKIP("no rank") 2025-07-17T07:12:05.5613001Z >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank 2025-07-17T07:12:05.5613577Z >>> recv_tensor = torch.randn(2, dtype=torch.float32) 2025-07-17T07:12:05.5614047Z >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size) 2025-07-17T07:12:05.5614477Z >>> recv_op = dist.P2POp( 2025-07-17T07:12:05.5614840Z ... dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size 2025-07-17T07:12:05.5615229Z ... ) 2025-07-17T07:12:05.5615478Z >>> reqs = batch_isend_irecv([send_op, recv_op]) 2025-07-17T07:12:05.5615814Z >>> for req in reqs: 2025-07-17T07:12:05.5616063Z >>> req.wait() 2025-07-17T07:12:05.5616310Z >>> recv_tensor 2025-07-17T07:12:05.5616548Z tensor([2, 3]) # Rank 0 2025-07-17T07:12:05.5616814Z tensor([0, 1]) # Rank 1 2025-07-17T07:12:05.5617005Z 2025-07-17T07:12:05.5617261Z .. note:: Note that when this API is used with the NCCL PG backend, users must set 2025-07-17T07:12:05.5617838Z the current GPU device with `torch.cuda.set_device`, otherwise it will 2025-07-17T07:12:05.5618284Z lead to unexpected hang issues. 2025-07-17T07:12:05.5618500Z 2025-07-17T07:12:05.5618706Z In addition, if this API is the first collective call in the ``group`` 2025-07-17T07:12:05.5619321Z passed to ``dist.P2POp``, all ranks of the ``group`` must participate in 2025-07-17T07:12:05.5619883Z this API call; otherwise, the behavior is undefined. If this API call is 2025-07-17T07:12:05.5620505Z not the first collective call in the ``group``, batched P2P operations 2025-07-17T07:12:05.5621046Z involving only a subset of ranks of the ``group`` are allowed. 2025-07-17T07:12:05.5621351Z 2025-07-17T07:12:05.5621610Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.5621974Z 2025-07-17T07:12:05.5622575Z msg = Cannot scrape callname=all_reduce in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2838. 2025-07-17T07:12:05.5623673Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.5624062Z 2025-07-17T07:12:05.5624329Z Reduces the tensor data across all machines in a way that all get the final result. 2025-07-17T07:12:05.5624730Z 2025-07-17T07:12:05.5624958Z After the call ``tensor`` is going to be bitwise identical in all processes. 2025-07-17T07:12:05.5625302Z 2025-07-17T07:12:05.5625426Z Complex tensors are supported. 2025-07-17T07:12:05.5625618Z 2025-07-17T07:12:05.5625698Z Args: 2025-07-17T07:12:05.5626025Z tensor (Tensor): Input and output of the collective. The function 2025-07-17T07:12:05.5626517Z operates in-place. 2025-07-17T07:12:05.5626818Z op (optional): One of the values from 2025-07-17T07:12:05.5627150Z ``torch.distributed.ReduceOp`` 2025-07-17T07:12:05.5627568Z enum. Specifies an operation used for element-wise reductions. 2025-07-17T07:12:05.5628113Z group (ProcessGroup, optional): The process group to work on. If None, 2025-07-17T07:12:05.5628582Z the default process group will be used. 2025-07-17T07:12:05.5629010Z async_op (bool, optional): Whether this op should be an async op 2025-07-17T07:12:05.5629312Z 2025-07-17T07:12:05.5629406Z Returns: 2025-07-17T07:12:05.5629646Z Async work handle, if async_op is set to True. 2025-07-17T07:12:05.5630041Z None, if not async_op or if not part of the group 2025-07-17T07:12:05.5630326Z 2025-07-17T07:12:05.5630459Z Examples: 2025-07-17T07:12:05.5630786Z >>> # xdoctest: +SKIP("no rank") 2025-07-17T07:12:05.5631193Z >>> # All tensors below are of torch.int64 type. 2025-07-17T07:12:05.5631675Z >>> # We have 2 process groups, 2 ranks. 2025-07-17T07:12:05.5632261Z >>> device = torch.device(f"cuda:{rank}") 2025-07-17T07:12:05.5632951Z >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank 2025-07-17T07:12:05.5633379Z >>> tensor 2025-07-17T07:12:05.5633626Z tensor([1, 2], device='cuda:0') # Rank 0 2025-07-17T07:12:05.5633954Z tensor([3, 4], device='cuda:1') # Rank 1 2025-07-17T07:12:05.5634303Z >>> dist.all_reduce(tensor, op=ReduceOp.SUM) 2025-07-17T07:12:05.5634626Z >>> tensor 2025-07-17T07:12:05.5634865Z tensor([4, 6], device='cuda:0') # Rank 0 2025-07-17T07:12:05.5635181Z tensor([4, 6], device='cuda:1') # Rank 1 2025-07-17T07:12:05.5635409Z 2025-07-17T07:12:05.5635542Z >>> # All tensors below are of torch.cfloat type. 2025-07-17T07:12:05.5635901Z >>> # We have 2 process groups, 2 ranks. 2025-07-17T07:12:05.5636214Z >>> tensor = torch.tensor( 2025-07-17T07:12:05.5636547Z ... [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device 2025-07-17T07:12:05.5636898Z ... ) + 2 * rank * (1 + 1j) 2025-07-17T07:12:05.5637152Z >>> tensor 2025-07-17T07:12:05.5637422Z tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0 2025-07-17T07:12:05.5637807Z tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1 2025-07-17T07:12:05.5638185Z >>> dist.all_reduce(tensor, op=ReduceOp.SUM) 2025-07-17T07:12:05.5638503Z >>> tensor 2025-07-17T07:12:05.5638768Z tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0 2025-07-17T07:12:05.5639147Z tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1 2025-07-17T07:12:05.5639385Z 2025-07-17T07:12:05.5639389Z 2025-07-17T07:12:05.5639638Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.5640014Z 2025-07-17T07:12:05.5640624Z msg = Cannot scrape callname=gather_object in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3198. 2025-07-17T07:12:05.5641586Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.5641973Z 2025-07-17T07:12:05.5642193Z Gathers picklable objects from the whole group in a single process. 2025-07-17T07:12:05.5642524Z 2025-07-17T07:12:05.5642764Z Similar to :func:`gather`, but Python objects can be passed in. Note that the 2025-07-17T07:12:05.5643247Z object must be picklable in order to be gathered. 2025-07-17T07:12:05.5643663Z 2025-07-17T07:12:05.5643744Z Args: 2025-07-17T07:12:05.5644012Z obj (Any): Input object. Must be picklable. 2025-07-17T07:12:05.5644465Z object_gather_list (list[Any]): Output list. On the ``dst`` rank, it 2025-07-17T07:12:05.5644972Z should be correctly sized as the size of the group for this 2025-07-17T07:12:05.5645489Z collective and will contain the output. Must be ``None`` on non-dst 2025-07-17T07:12:05.5645931Z ranks. (default is ``None``) 2025-07-17T07:12:05.5646512Z dst (int, optional): Destination rank on global process group (regardless of ``group`` argument). 2025-07-17T07:12:05.5647151Z (If both ``dst`` and ``group_dst`` are None, default is global rank 0) 2025-07-17T07:12:05.5647700Z group: (ProcessGroup, optional): The process group to work on. If None, 2025-07-17T07:12:05.5648245Z the default process group will be used. Default is ``None``. 2025-07-17T07:12:05.5648882Z group_dst (int, optional): Destination rank on ``group``. Invalid to specify both ``dst`` and ``group_dst`` 2025-07-17T07:12:05.5649355Z 2025-07-17T07:12:05.5649443Z Returns: 2025-07-17T07:12:05.5649750Z None. On the ``dst`` rank, ``object_gather_list`` will contain the 2025-07-17T07:12:05.5650147Z output of the collective. 2025-07-17T07:12:05.5650347Z 2025-07-17T07:12:05.5650567Z .. note:: Note that this API differs slightly from the gather collective 2025-07-17T07:12:05.5651114Z since it does not provide an async_op handle and thus will be a blocking 2025-07-17T07:12:05.5651538Z call. 2025-07-17T07:12:05.5651656Z 2025-07-17T07:12:05.5651887Z .. note:: For NCCL-based processed groups, internal tensor representations 2025-07-17T07:12:05.5652452Z of objects must be moved to the GPU device before communication takes 2025-07-17T07:12:05.5652925Z place. In this case, the device used is given by 2025-07-17T07:12:05.5653392Z ``torch.cuda.current_device()`` and it is the user's responsibility to 2025-07-17T07:12:05.5653942Z ensure that this is set so that each rank has an individual GPU, via 2025-07-17T07:12:05.5654369Z ``torch.cuda.set_device()``. 2025-07-17T07:12:05.5654563Z 2025-07-17T07:12:05.5654664Z .. warning:: 2025-07-17T07:12:05.5655020Z Object collectives have a number of serious performance and scalability 2025-07-17T07:12:05.5655549Z limitations. See :ref:`object_collectives` for details. 2025-07-17T07:12:05.5655835Z 2025-07-17T07:12:05.5655930Z .. warning:: 2025-07-17T07:12:05.5656241Z :func:`gather_object` uses ``pickle`` module implicitly, which is 2025-07-17T07:12:05.5656779Z known to be insecure. It is possible to construct malicious pickle data 2025-07-17T07:12:05.5657329Z which will execute arbitrary code during unpickling. Only call this 2025-07-17T07:12:05.5657763Z function with data you trust. 2025-07-17T07:12:05.5657957Z 2025-07-17T07:12:05.5658043Z .. warning:: 2025-07-17T07:12:05.5658382Z Calling :func:`gather_object` with GPU tensors is not well supported 2025-07-17T07:12:05.5658941Z and inefficient as it incurs GPU -> CPU transfer since tensors would be 2025-07-17T07:12:05.5659527Z pickled. Please consider using :func:`gather` instead. 2025-07-17T07:12:05.5659815Z 2025-07-17T07:12:05.5659901Z Example:: 2025-07-17T07:12:05.5660163Z >>> # xdoctest: +SKIP("need process group init") 2025-07-17T07:12:05.5660592Z >>> # Note: Process group initialization omitted on each rank. 2025-07-17T07:12:05.5660993Z >>> import torch.distributed as dist 2025-07-17T07:12:05.5661318Z >>> # Assumes world_size of 3. 2025-07-17T07:12:05.5661692Z >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object 2025-07-17T07:12:05.5662094Z >>> output = [None for _ in gather_objects] 2025-07-17T07:12:05.5662422Z >>> dist.gather_object( 2025-07-17T07:12:05.5662717Z ... gather_objects[dist.get_rank()], 2025-07-17T07:12:05.5663058Z ... output if dist.get_rank() == 0 else None, 2025-07-17T07:12:05.5663385Z ... dst=0 2025-07-17T07:12:05.5663684Z ... ) 2025-07-17T07:12:05.5663883Z >>> # On rank 0 2025-07-17T07:12:05.5664114Z >>> output 2025-07-17T07:12:05.5664339Z ['foo', 12, {1: 2}] 2025-07-17T07:12:05.5664493Z 2025-07-17T07:12:05.5664758Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.5665128Z 2025-07-17T07:12:05.5673301Z msg = Cannot scrape callname=all_gather in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3794. 2025-07-17T07:12:05.5674493Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.5674891Z 2025-07-17T07:12:05.5675036Z Gathers tensors from the whole group in a list. 2025-07-17T07:12:05.5675289Z 2025-07-17T07:12:05.5675449Z Complex and uneven sized tensors are supported. 2025-07-17T07:12:05.5675698Z 2025-07-17T07:12:05.5675780Z Args: 2025-07-17T07:12:05.5676077Z tensor_list (list[Tensor]): Output list. It should contain 2025-07-17T07:12:05.5676593Z correctly-sized tensors to be used for output of the collective. 2025-07-17T07:12:05.5677042Z Uneven sized tensors are supported. 2025-07-17T07:12:05.5677444Z tensor (Tensor): Tensor to be broadcast from current process. 2025-07-17T07:12:05.5677980Z group (ProcessGroup, optional): The process group to work on. If None, 2025-07-17T07:12:05.5678455Z the default process group will be used. 2025-07-17T07:12:05.5678873Z async_op (bool, optional): Whether this op should be an async op 2025-07-17T07:12:05.5679190Z 2025-07-17T07:12:05.5679275Z Returns: 2025-07-17T07:12:05.5679536Z Async work handle, if async_op is set to True. 2025-07-17T07:12:05.5679920Z None, if not async_op or if not part of the group 2025-07-17T07:12:05.5680180Z 2025-07-17T07:12:05.5680263Z Examples: 2025-07-17T07:12:05.5680521Z >>> # xdoctest: +SKIP("need process group init") 2025-07-17T07:12:05.5680906Z >>> # All tensors below are of torch.int64 dtype. 2025-07-17T07:12:05.5681252Z >>> # We have 2 process groups, 2 ranks. 2025-07-17T07:12:05.5681599Z >>> device = torch.device(f"cuda:{rank}") 2025-07-17T07:12:05.5681918Z >>> tensor_list = [ 2025-07-17T07:12:05.5682273Z ... torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2) 2025-07-17T07:12:05.5682685Z ... ] 2025-07-17T07:12:05.5682892Z >>> tensor_list 2025-07-17T07:12:05.5683250Z [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0 2025-07-17T07:12:05.5683754Z [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1 2025-07-17T07:12:05.5684300Z >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank 2025-07-17T07:12:05.5684729Z >>> tensor 2025-07-17T07:12:05.5684961Z tensor([1, 2], device='cuda:0') # Rank 0 2025-07-17T07:12:05.5685294Z tensor([3, 4], device='cuda:1') # Rank 1 2025-07-17T07:12:05.5685625Z >>> dist.all_gather(tensor_list, tensor) 2025-07-17T07:12:05.5685923Z >>> tensor_list 2025-07-17T07:12:05.5686272Z [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0 2025-07-17T07:12:05.5686780Z [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1 2025-07-17T07:12:05.5687091Z 2025-07-17T07:12:05.5687242Z >>> # All tensors below are of torch.cfloat dtype. 2025-07-17T07:12:05.5687597Z >>> # We have 2 process groups, 2 ranks. 2025-07-17T07:12:05.5687915Z >>> tensor_list = [ 2025-07-17T07:12:05.5688283Z ... torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2) 2025-07-17T07:12:05.5688688Z ... ] 2025-07-17T07:12:05.5688900Z >>> tensor_list 2025-07-17T07:12:05.5689287Z [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0 2025-07-17T07:12:05.5689889Z [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1 2025-07-17T07:12:05.5702567Z >>> tensor = torch.tensor( 2025-07-17T07:12:05.5702998Z ... [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device 2025-07-17T07:12:05.5703565Z ... ) + 2 * rank * (1 + 1j) 2025-07-17T07:12:05.5703843Z >>> tensor 2025-07-17T07:12:05.5704109Z tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0 2025-07-17T07:12:05.5704506Z tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1 2025-07-17T07:12:05.5704873Z >>> dist.all_gather(tensor_list, tensor) 2025-07-17T07:12:05.5705179Z >>> tensor_list 2025-07-17T07:12:05.5705576Z [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0 2025-07-17T07:12:05.5706245Z [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1 2025-07-17T07:12:05.5706605Z 2025-07-17T07:12:05.5706609Z 2025-07-17T07:12:05.5706878Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.5707247Z 2025-07-17T07:12:05.5732109Z msg = Cannot scrape callname=all_to_all_single in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4500. 2025-07-17T07:12:05.5733096Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.5733485Z 2025-07-17T07:12:05.5733736Z Split input tensor and then scatter the split list to all processes in a group. 2025-07-17T07:12:05.5734118Z 2025-07-17T07:12:05.5734378Z Later the received tensors are concatenated from all the processes in the group 2025-07-17T07:12:05.5734875Z and returned as a single output tensor. 2025-07-17T07:12:05.5735096Z 2025-07-17T07:12:05.5735205Z Complex tensors are supported. 2025-07-17T07:12:05.5735410Z 2025-07-17T07:12:05.5735496Z Args: 2025-07-17T07:12:05.5735777Z output (Tensor): Gathered concatenated output tensor. 2025-07-17T07:12:05.5736166Z input (Tensor): Input tensor to scatter. 2025-07-17T07:12:05.5736620Z output_split_sizes: (list[Int], optional): Output split sizes for dim 0 2025-07-17T07:12:05.5737175Z if specified None or empty, dim 0 of ``output`` tensor must divide 2025-07-17T07:12:05.5737608Z equally by ``world_size``. 2025-07-17T07:12:05.5738007Z input_split_sizes: (list[Int], optional): Input split sizes for dim 0 2025-07-17T07:12:05.5738536Z if specified None or empty, dim 0 of ``input`` tensor must divide 2025-07-17T07:12:05.5738953Z equally by ``world_size``. 2025-07-17T07:12:05.5739445Z group (ProcessGroup, optional): The process group to work on. If None, 2025-07-17T07:12:05.5739924Z the default process group will be used. 2025-07-17T07:12:05.5740360Z async_op (bool, optional): Whether this op should be an async op. 2025-07-17T07:12:05.5740671Z 2025-07-17T07:12:05.5740767Z Returns: 2025-07-17T07:12:05.5741015Z Async work handle, if async_op is set to True. 2025-07-17T07:12:05.5741412Z None, if not async_op or if not part of the group. 2025-07-17T07:12:05.5741662Z 2025-07-17T07:12:05.5741769Z .. warning:: 2025-07-17T07:12:05.5742059Z `all_to_all_single` is experimental and subject to change. 2025-07-17T07:12:05.5742357Z 2025-07-17T07:12:05.5742445Z Examples: 2025-07-17T07:12:05.5742688Z >>> # xdoctest: +SKIP("Undefined rank") 2025-07-17T07:12:05.5743028Z >>> input = torch.arange(4) + rank * 4 2025-07-17T07:12:05.5743389Z >>> input 2025-07-17T07:12:05.5743623Z tensor([0, 1, 2, 3]) # Rank 0 2025-07-17T07:12:05.5744006Z tensor([4, 5, 6, 7]) # Rank 1 2025-07-17T07:12:05.5744437Z tensor([8, 9, 10, 11]) # Rank 2 2025-07-17T07:12:05.5744894Z tensor([12, 13, 14, 15]) # Rank 3 2025-07-17T07:12:05.5745311Z >>> output = torch.empty([4], dtype=torch.int64) 2025-07-17T07:12:05.5745686Z >>> dist.all_to_all_single(output, input) 2025-07-17T07:12:05.5746008Z >>> output 2025-07-17T07:12:05.5746254Z tensor([0, 4, 8, 12]) # Rank 0 2025-07-17T07:12:05.5746542Z tensor([1, 5, 9, 13]) # Rank 1 2025-07-17T07:12:05.5746838Z tensor([2, 6, 10, 14]) # Rank 2 2025-07-17T07:12:05.5747134Z tensor([3, 7, 11, 15]) # Rank 3 2025-07-17T07:12:05.5747326Z 2025-07-17T07:12:05.5747614Z >>> # Essentially, it is similar to following operation: 2025-07-17T07:12:05.5748073Z >>> scatter_list = list(input.chunk(world_size)) 2025-07-17T07:12:05.5748448Z >>> gather_list = list(output.chunk(world_size)) 2025-07-17T07:12:05.5748801Z >>> for i in range(world_size): 2025-07-17T07:12:05.5749234Z >>> dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i) 2025-07-17T07:12:05.5749579Z 2025-07-17T07:12:05.5749711Z >>> # Another example with uneven split 2025-07-17T07:12:05.5750011Z >>> input 2025-07-17T07:12:05.5750361Z tensor([0, 1, 2, 3, 4, 5]) # Rank 0 2025-07-17T07:12:05.5750798Z tensor([10, 11, 12, 13, 14, 15, 16, 17, 18]) # Rank 1 2025-07-17T07:12:05.5751221Z tensor([20, 21, 22, 23, 24]) # Rank 2 2025-07-17T07:12:05.5751660Z tensor([30, 31, 32, 33, 34, 35, 36]) # Rank 3 2025-07-17T07:12:05.5752030Z >>> input_splits 2025-07-17T07:12:05.5752311Z [2, 2, 1, 1] # Rank 0 2025-07-17T07:12:05.5752665Z [3, 2, 2, 2] # Rank 1 2025-07-17T07:12:05.5753030Z [2, 1, 1, 1] # Rank 2 2025-07-17T07:12:05.5753393Z [2, 2, 2, 1] # Rank 3 2025-07-17T07:12:05.5753717Z >>> output_splits 2025-07-17T07:12:05.5753995Z [2, 3, 2, 2] # Rank 0 2025-07-17T07:12:05.5754361Z [2, 2, 1, 2] # Rank 1 2025-07-17T07:12:05.5754721Z [1, 2, 1, 2] # Rank 2 2025-07-17T07:12:05.5755068Z [1, 2, 1, 1] # Rank 3 2025-07-17T07:12:05.5755398Z >>> output = ... 2025-07-17T07:12:05.5755755Z >>> dist.all_to_all_single(output, input, output_splits, input_splits) 2025-07-17T07:12:05.5756155Z >>> output 2025-07-17T07:12:05.5756443Z tensor([ 0, 1, 10, 11, 12, 20, 21, 30, 31]) # Rank 0 2025-07-17T07:12:05.5756874Z tensor([ 2, 3, 13, 14, 22, 32, 33]) # Rank 1 2025-07-17T07:12:05.5757306Z tensor([ 4, 15, 16, 23, 34, 35]) # Rank 2 2025-07-17T07:12:05.5757719Z tensor([ 5, 17, 18, 24, 36]) # Rank 3 2025-07-17T07:12:05.5758000Z 2025-07-17T07:12:05.5758004Z 2025-07-17T07:12:05.5758166Z >>> # Another example with tensors of torch.cfloat type. 2025-07-17T07:12:05.5758545Z >>> input = torch.tensor( 2025-07-17T07:12:05.5758860Z ... [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat 2025-07-17T07:12:05.5759211Z ... ) + 4 * rank * (1 + 1j) 2025-07-17T07:12:05.5759479Z >>> input 2025-07-17T07:12:05.5759777Z tensor([1+1j, 2+2j, 3+3j, 4+4j]) # Rank 0 2025-07-17T07:12:05.5760240Z tensor([5+5j, 6+6j, 7+7j, 8+8j]) # Rank 1 2025-07-17T07:12:05.5760712Z tensor([9+9j, 10+10j, 11+11j, 12+12j]) # Rank 2 2025-07-17T07:12:05.5761189Z tensor([13+13j, 14+14j, 15+15j, 16+16j]) # Rank 3 2025-07-17T07:12:05.5761624Z >>> output = torch.empty([4], dtype=torch.int64) 2025-07-17T07:12:05.5762000Z >>> dist.all_to_all_single(output, input) 2025-07-17T07:12:05.5762321Z >>> output 2025-07-17T07:12:05.5762621Z tensor([1+1j, 5+5j, 9+9j, 13+13j]) # Rank 0 2025-07-17T07:12:05.5763089Z tensor([2+2j, 6+6j, 10+10j, 14+14j]) # Rank 1 2025-07-17T07:12:05.5763557Z tensor([3+3j, 7+7j, 11+11j, 15+15j]) # Rank 2 2025-07-17T07:12:05.5764023Z tensor([4+4j, 8+8j, 12+12j, 16+16j]) # Rank 3 2025-07-17T07:12:05.5764310Z 2025-07-17T07:12:05.5764560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.5765008Z 2025-07-17T07:12:05.5765570Z msg = Cannot scrape callname=all_to_all in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4642. 2025-07-17T07:12:05.5766510Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.5766884Z 2025-07-17T07:12:05.5767263Z Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list. 2025-07-17T07:12:05.5767745Z 2025-07-17T07:12:05.5767913Z Complex tensors are supported. 2025-07-17T07:12:05.5768121Z 2025-07-17T07:12:05.5768203Z Args: 2025-07-17T07:12:05.5768537Z output_tensor_list (list[Tensor]): List of tensors to be gathered one 2025-07-17T07:12:05.5768967Z per rank. 2025-07-17T07:12:05.5769327Z input_tensor_list (list[Tensor]): List of tensors to scatter one per rank. 2025-07-17T07:12:05.5770193Z group (ProcessGroup, optional): The process group to work on. If None, 2025-07-17T07:12:05.5770678Z the default process group will be used. 2025-07-17T07:12:05.5771103Z async_op (bool, optional): Whether this op should be an async op. 2025-07-17T07:12:05.5771427Z 2025-07-17T07:12:05.5771510Z Returns: 2025-07-17T07:12:05.5771772Z Async work handle, if async_op is set to True. 2025-07-17T07:12:05.5772152Z None, if not async_op or if not part of the group. 2025-07-17T07:12:05.5772429Z 2025-07-17T07:12:05.5772522Z .. warning:: 2025-07-17T07:12:05.5772800Z `all_to_all` is experimental and subject to change. 2025-07-17T07:12:05.5773058Z 2025-07-17T07:12:05.5773143Z Examples: 2025-07-17T07:12:05.5773381Z >>> # xdoctest: +SKIP("Undefined rank") 2025-07-17T07:12:05.5773717Z >>> input = torch.arange(4) + rank * 4 2025-07-17T07:12:05.5774032Z >>> input = list(input.chunk(4)) 2025-07-17T07:12:05.5774322Z >>> input 2025-07-17T07:12:05.5774617Z [tensor([0]), tensor([1]), tensor([2]), tensor([3])] # Rank 0 2025-07-17T07:12:05.5775069Z [tensor([4]), tensor([5]), tensor([6]), tensor([7])] # Rank 1 2025-07-17T07:12:05.5775503Z [tensor([8]), tensor([9]), tensor([10]), tensor([11])] # Rank 2 2025-07-17T07:12:05.5775950Z [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3 2025-07-17T07:12:05.5776418Z >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4)) 2025-07-17T07:12:05.5776812Z >>> dist.all_to_all(output, input) 2025-07-17T07:12:05.5777113Z >>> output 2025-07-17T07:12:05.5777411Z [tensor([0]), tensor([4]), tensor([8]), tensor([12])] # Rank 0 2025-07-17T07:12:05.5777847Z [tensor([1]), tensor([5]), tensor([9]), tensor([13])] # Rank 1 2025-07-17T07:12:05.5778292Z [tensor([2]), tensor([6]), tensor([10]), tensor([14])] # Rank 2 2025-07-17T07:12:05.5778730Z [tensor([3]), tensor([7]), tensor([11]), tensor([15])] # Rank 3 2025-07-17T07:12:05.5779006Z 2025-07-17T07:12:05.5779260Z >>> # Essentially, it is similar to following operation: 2025-07-17T07:12:05.5779638Z >>> scatter_list = input 2025-07-17T07:12:05.5779923Z >>> gather_list = output 2025-07-17T07:12:05.5780209Z >>> for i in range(world_size): 2025-07-17T07:12:05.5780624Z >>> dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i) 2025-07-17T07:12:05.5780981Z 2025-07-17T07:12:05.5781063Z >>> input 2025-07-17T07:12:05.5781348Z tensor([0, 1, 2, 3, 4, 5]) # Rank 0 2025-07-17T07:12:05.5781775Z tensor([10, 11, 12, 13, 14, 15, 16, 17, 18]) # Rank 1 2025-07-17T07:12:05.5782195Z tensor([20, 21, 22, 23, 24]) # Rank 2 2025-07-17T07:12:05.5782625Z tensor([30, 31, 32, 33, 34, 35, 36]) # Rank 3 2025-07-17T07:12:05.5782994Z >>> input_splits 2025-07-17T07:12:05.5783255Z [2, 2, 1, 1] # Rank 0 2025-07-17T07:12:05.5783620Z [3, 2, 2, 2] # Rank 1 2025-07-17T07:12:05.5784109Z [2, 1, 1, 1] # Rank 2 2025-07-17T07:12:05.5784470Z [2, 2, 2, 1] # Rank 3 2025-07-17T07:12:05.5784789Z >>> output_splits 2025-07-17T07:12:05.5785064Z [2, 3, 2, 2] # Rank 0 2025-07-17T07:12:05.5785420Z [2, 2, 1, 2] # Rank 1 2025-07-17T07:12:05.5786273Z [1, 2, 1, 2] # Rank 2 2025-07-17T07:12:05.5786635Z [1, 2, 1, 1] # Rank 3 2025-07-17T07:12:05.5787003Z >>> input = list(input.split(input_splits)) 2025-07-17T07:12:05.5787325Z >>> input 2025-07-17T07:12:05.5787644Z [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])] # Rank 0 2025-07-17T07:12:05.5788173Z [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1 2025-07-17T07:12:05.5788697Z [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])] # Rank 2 2025-07-17T07:12:05.5789206Z [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])] # Rank 3 2025-07-17T07:12:05.5789618Z >>> output = ... 2025-07-17T07:12:05.5789882Z >>> dist.all_to_all(output, input) 2025-07-17T07:12:05.5790177Z >>> output 2025-07-17T07:12:05.5790498Z [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])] # Rank 0 2025-07-17T07:12:05.5791021Z [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])] # Rank 1 2025-07-17T07:12:05.5791546Z [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])] # Rank 2 2025-07-17T07:12:05.5792055Z [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])] # Rank 3 2025-07-17T07:12:05.5792385Z 2025-07-17T07:12:05.5792542Z >>> # Another example with tensors of torch.cfloat type. 2025-07-17T07:12:05.5792921Z >>> input = torch.tensor( 2025-07-17T07:12:05.5793244Z ... [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat 2025-07-17T07:12:05.5793577Z ... ) + 4 * rank * (1 + 1j) 2025-07-17T07:12:05.5793866Z >>> input = list(input.chunk(4)) 2025-07-17T07:12:05.5794158Z >>> input 2025-07-17T07:12:05.5794493Z [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])] # Rank 0 2025-07-17T07:12:05.5795031Z [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])] # Rank 1 2025-07-17T07:12:05.5795581Z [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])] # Rank 2 2025-07-17T07:12:05.5796123Z [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])] # Rank 3 2025-07-17T07:12:05.5796647Z >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4)) 2025-07-17T07:12:05.5797063Z >>> dist.all_to_all(output, input) 2025-07-17T07:12:05.5797537Z >>> output 2025-07-17T07:12:05.5798066Z [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])] # Rank 0 2025-07-17T07:12:05.5798880Z [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])] # Rank 1 2025-07-17T07:12:05.5799812Z [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])] # Rank 2 2025-07-17T07:12:05.5800508Z [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])] # Rank 3 2025-07-17T07:12:05.5800847Z 2025-07-17T07:12:05.5800852Z 2025-07-17T07:12:05.5801108Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.5801489Z 2025-07-17T07:12:05.5802026Z msg = Cannot scrape callname=__doc__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/launch.py line=2. 2025-07-17T07:12:05.5802869Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.5803257Z 2025-07-17T07:12:05.5803496Z Module ``torch.distributed.launch``. 2025-07-17T07:12:05.5803710Z 2025-07-17T07:12:05.5803973Z ``torch.distributed.launch`` is a module that spawns up multiple distributed 2025-07-17T07:12:05.5804495Z training processes on each of the training nodes. 2025-07-17T07:12:05.5804752Z 2025-07-17T07:12:05.5804846Z .. warning:: 2025-07-17T07:12:05.5804985Z 2025-07-17T07:12:05.5805234Z This module is going to be deprecated in favor of :ref:`torchrun `. 2025-07-17T07:12:05.5805604Z 2025-07-17T07:12:05.5805849Z The utility can be used for single-node distributed training, in which one or 2025-07-17T07:12:05.5806504Z more processes per node will be spawned. The utility can be used for either 2025-07-17T07:12:05.5807061Z CPU training or GPU training. If the utility is used for GPU training, 2025-07-17T07:12:05.5807639Z each distributed process will be operating on a single GPU. This can achieve 2025-07-17T07:12:05.5808239Z well-improved single-node training performance. It can also be used in 2025-07-17T07:12:05.5808847Z multi-node distributed training, by spawning up multiple processes on each node 2025-07-17T07:12:05.5809462Z for well-improved multi-node distributed training performance as well. 2025-07-17T07:12:05.5810035Z This will especially be beneficial for systems with multiple Infiniband 2025-07-17T07:12:05.5810633Z interfaces that have direct-GPU support, since all of them can be utilized for 2025-07-17T07:12:05.5811109Z aggregated communication bandwidth. 2025-07-17T07:12:05.5811328Z 2025-07-17T07:12:05.5811557Z In both cases of single-node distributed training or multi-node distributed 2025-07-17T07:12:05.5812144Z training, this utility will launch the given number of processes per node 2025-07-17T07:12:05.5812707Z (``--nproc-per-node``). If used for GPU training, this number needs to be less 2025-07-17T07:12:05.5813268Z or equal to the number of GPUs on the current system (``nproc_per_node``), 2025-07-17T07:12:05.5813804Z and each process will be operating on a single GPU from *GPU 0 to 2025-07-17T07:12:05.5814233Z GPU (nproc_per_node - 1)*. 2025-07-17T07:12:05.5814408Z 2025-07-17T07:12:05.5814507Z **How to use this module:** 2025-07-17T07:12:05.5814692Z 2025-07-17T07:12:05.5814840Z 1. Single-Node multi-process distributed training 2025-07-17T07:12:05.5815096Z 2025-07-17T07:12:05.5815192Z :: 2025-07-17T07:12:05.5815296Z 2025-07-17T07:12:05.5815530Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-07-17T07:12:05.5816073Z YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other 2025-07-17T07:12:05.5816512Z arguments of your training script) 2025-07-17T07:12:05.5816744Z 2025-07-17T07:12:05.5816963Z 2. Multi-Node multi-process distributed training: (e.g. two nodes) 2025-07-17T07:12:05.5817281Z 2025-07-17T07:12:05.5817285Z 2025-07-17T07:12:05.5817426Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)* 2025-07-17T07:12:05.5817687Z 2025-07-17T07:12:05.5817770Z :: 2025-07-17T07:12:05.5817888Z 2025-07-17T07:12:05.5818121Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-07-17T07:12:05.5818637Z --nnodes=2 --node-rank=0 --master-addr="192.168.1.1" 2025-07-17T07:12:05.5819209Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2025-07-17T07:12:05.5819695Z and all other arguments of your training script) 2025-07-17T07:12:05.5819960Z 2025-07-17T07:12:05.5820055Z Node 2: 2025-07-17T07:12:05.5820169Z 2025-07-17T07:12:05.5820251Z :: 2025-07-17T07:12:05.5820372Z 2025-07-17T07:12:05.5820611Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-07-17T07:12:05.5821122Z --nnodes=2 --node-rank=1 --master-addr="192.168.1.1" 2025-07-17T07:12:05.5821605Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2025-07-17T07:12:05.5822066Z and all other arguments of your training script) 2025-07-17T07:12:05.5822336Z 2025-07-17T07:12:05.5822496Z 3. To look up what optional arguments this module offers: 2025-07-17T07:12:05.5822839Z 2025-07-17T07:12:05.5822936Z :: 2025-07-17T07:12:05.5823047Z 2025-07-17T07:12:05.5823196Z python -m torch.distributed.launch --help 2025-07-17T07:12:05.5823436Z 2025-07-17T07:12:05.5823440Z 2025-07-17T07:12:05.5823535Z **Important Notices:** 2025-07-17T07:12:05.5823714Z 2025-07-17T07:12:05.5823897Z 1. This utility and multi-process distributed (single-node or 2025-07-17T07:12:05.5824448Z multi-node) GPU training currently only achieves the best performance using 2025-07-17T07:12:05.5825110Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to 2025-07-17T07:12:05.5825576Z use for GPU training. 2025-07-17T07:12:05.5825742Z 2025-07-17T07:12:05.5825954Z 2. In your training program, you must parse the command-line argument: 2025-07-17T07:12:05.5826511Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module. 2025-07-17T07:12:05.5827072Z If your training program uses GPUs, you should ensure that your code only 2025-07-17T07:12:05.5827618Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by: 2025-07-17T07:12:05.5827921Z 2025-07-17T07:12:05.5828042Z Parsing the local_rank argument 2025-07-17T07:12:05.5828229Z 2025-07-17T07:12:05.5828321Z :: 2025-07-17T07:12:05.5828425Z 2025-07-17T07:12:05.5828519Z >>> # xdoctest: +SKIP 2025-07-17T07:12:05.5828780Z >>> import argparse 2025-07-17T07:12:05.5829061Z >>> parser = argparse.ArgumentParser() 2025-07-17T07:12:05.5829469Z >>> parser.add_argument("--local-rank", "--local_rank", type=int) 2025-07-17T07:12:05.5829886Z >>> args = parser.parse_args() 2025-07-17T07:12:05.5830088Z 2025-07-17T07:12:05.5830218Z Set your device to local rank using either 2025-07-17T07:12:05.5830441Z 2025-07-17T07:12:05.5830519Z :: 2025-07-17T07:12:05.5830633Z 2025-07-17T07:12:05.5830830Z >>> torch.cuda.set_device(args.local_rank) # before your code runs 2025-07-17T07:12:05.5831152Z 2025-07-17T07:12:05.5831230Z or 2025-07-17T07:12:05.5831334Z 2025-07-17T07:12:05.5831428Z :: 2025-07-17T07:12:05.5831530Z 2025-07-17T07:12:05.5831657Z >>> with torch.cuda.device(args.local_rank): 2025-07-17T07:12:05.5831997Z >>> # your code to run 2025-07-17T07:12:05.5832258Z >>> ... 2025-07-17T07:12:05.5832379Z 2025-07-17T07:12:05.5832479Z .. versionchanged:: 2.0.0 2025-07-17T07:12:05.5832660Z 2025-07-17T07:12:05.5832902Z The launcher will passes the ``--local-rank=`` argument to your script. 2025-07-17T07:12:05.5833505Z From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the 2025-07-17T07:12:05.5834005Z previously used underscored ``--local_rank``. 2025-07-17T07:12:05.5834250Z 2025-07-17T07:12:05.5834483Z For backward compatibility, it may be necessary for users to handle both 2025-07-17T07:12:05.5835100Z cases in their argument parsing code. This means including both ``"--local-rank"`` 2025-07-17T07:12:05.5835699Z and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is 2025-07-17T07:12:05.5836289Z provided, the launcher will trigger an error: "error: unrecognized arguments: 2025-07-17T07:12:05.5836874Z --local-rank=". For training code that only supports PyTorch 2.0.0+, 2025-07-17T07:12:05.5837371Z including ``"--local-rank"`` should be sufficient. 2025-07-17T07:12:05.5837626Z 2025-07-17T07:12:05.5837869Z 3. In your training program, you are supposed to call the following function 2025-07-17T07:12:05.5838446Z at the beginning to start the distributed backend. It is strongly recommended 2025-07-17T07:12:05.5839040Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work, 2025-07-17T07:12:05.5839562Z but ``env://`` is the one that is officially supported by this module. 2025-07-17T07:12:05.5839864Z 2025-07-17T07:12:05.5839959Z :: 2025-07-17T07:12:05.5840066Z 2025-07-17T07:12:05.5840268Z >>> torch.distributed.init_process_group(backend='YOUR BACKEND', 2025-07-17T07:12:05.5840724Z >>> init_method='env://') 2025-07-17T07:12:05.5841028Z 2025-07-17T07:12:05.5841281Z 4. In your training program, you can either use regular distributed functions 2025-07-17T07:12:05.5841881Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your 2025-07-17T07:12:05.5842088Z training program uses GPUs for training and you would like to use 2025-07-17T07:12:05.5842274Z :func:`torch.nn.parallel.DistributedDataParallel` module, 2025-07-17T07:12:05.5842392Z here is how to configure it. 2025-07-17T07:12:05.5842396Z 2025-07-17T07:12:05.5842479Z :: 2025-07-17T07:12:05.5842483Z 2025-07-17T07:12:05.5842729Z >>> model = torch.nn.parallel.DistributedDataParallel(model, 2025-07-17T07:12:05.5842878Z >>> device_ids=[args.local_rank], 2025-07-17T07:12:05.5843015Z >>> output_device=args.local_rank) 2025-07-17T07:12:05.5843019Z 2025-07-17T07:12:05.5843269Z Please ensure that ``device_ids`` argument is set to be the only GPU device id 2025-07-17T07:12:05.5843499Z that your code will be operating on. This is generally the local rank of the 2025-07-17T07:12:05.5843734Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``, 2025-07-17T07:12:05.5844074Z and ``output_device`` needs to be ``args.local_rank`` in order to use this 2025-07-17T07:12:05.5844159Z utility 2025-07-17T07:12:05.5844165Z 2025-07-17T07:12:05.5844418Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable 2025-07-17T07:12:05.5844631Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with 2025-07-17T07:12:05.5844848Z ``--use-env=True``. You must adjust the subprocess example above to replace 2025-07-17T07:12:05.5845052Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher 2025-07-17T07:12:05.5845218Z will not pass ``--local-rank`` when you specify this flag. 2025-07-17T07:12:05.5845223Z 2025-07-17T07:12:05.5845310Z .. warning:: 2025-07-17T07:12:05.5845329Z 2025-07-17T07:12:05.5845528Z ``local_rank`` is NOT globally unique: it is only unique per process 2025-07-17T07:12:05.5845709Z on a machine. Thus, don't use it to decide if you should, e.g., 2025-07-17T07:12:05.5845837Z write to a networked filesystem. See 2025-07-17T07:12:05.5846051Z https://github.com/pytorch/pytorch/issues/12042 for an example of 2025-07-17T07:12:05.5846209Z how things can go wrong if you don't do this correctly. 2025-07-17T07:12:05.5846214Z 2025-07-17T07:12:05.5846218Z 2025-07-17T07:12:05.5846222Z 2025-07-17T07:12:05.5846237Z 2025-07-17T07:12:05.5846486Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.5846491Z 2025-07-17T07:12:05.6463363Z msg = Cannot scrape callname=init_from_local_shards in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361. 2025-07-17T07:12:05.6463654Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.6463683Z 2025-07-17T07:12:05.6463920Z Creates an :class:`ShardedTensor` from local shards and the global metadata. 2025-07-17T07:12:05.6464078Z Needs to be called on all ranks in an SPMD fashion. 2025-07-17T07:12:05.6464083Z 2025-07-17T07:12:05.6464162Z Args: 2025-07-17T07:12:05.6464431Z local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list 2025-07-17T07:12:05.6464606Z of shards that represent the local shards on this rank. 2025-07-17T07:12:05.6464832Z global_size (int...): a list, tuple, or `torch.Size` of integers defining the 2025-07-17T07:12:05.6464967Z shape of the overall sharded tensor. 2025-07-17T07:12:05.6464971Z 2025-07-17T07:12:05.6465056Z Keyword args: 2025-07-17T07:12:05.6465324Z process_group (ProcessGroup, optional): The process group to work on. If None, 2025-07-17T07:12:05.6465448Z the default process group will be used. 2025-07-17T07:12:05.6465628Z init_rrefs (bool, optional): Whether or not to initialize 2025-07-17T07:12:05.6466033Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2025-07-17T07:12:05.6466235Z Need to initialize the RPC Framework if specified as ``True``. 2025-07-17T07:12:05.6466332Z Default: ``False``. 2025-07-17T07:12:05.6466336Z 2025-07-17T07:12:05.6466419Z Returns: 2025-07-17T07:12:05.6466580Z A :class:`ShardedTensor` object handle on this rank 2025-07-17T07:12:05.6466584Z 2025-07-17T07:12:05.6466588Z 2025-07-17T07:12:05.6466673Z Examples: 2025-07-17T07:12:05.6466919Z Suppose we want construct a sharded tensor on two ranks, global size = (10, 5), 2025-07-17T07:12:05.6467218Z each shard have a (5, 5) local tensor, we can do it like below: 2025-07-17T07:12:05.6467239Z 2025-07-17T07:12:05.6467323Z on rank 0: 2025-07-17T07:12:05.6467452Z >>> # xdoctest: +SKIP("not distributed") 2025-07-17T07:12:05.6467570Z >>> local_shard_metadata = ShardMetadata( 2025-07-17T07:12:05.6467669Z >>> shard_offsets=[0, 0], 2025-07-17T07:12:05.6467784Z >>> shard_lengths=[5, 5], 2025-07-17T07:12:05.6467892Z >>> placement="rank:0/cuda:0" 2025-07-17T07:12:05.6467988Z >>> ) 2025-07-17T07:12:05.6468179Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2025-07-17T07:12:05.6468371Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2025-07-17T07:12:05.6468375Z 2025-07-17T07:12:05.6468473Z on rank 1: 2025-07-17T07:12:05.6468589Z >>> # xdoctest: +SKIP("not distributed") 2025-07-17T07:12:05.6468706Z >>> local_shard_metadata = ShardMetadata( 2025-07-17T07:12:05.6468819Z >>> shard_offsets=[5, 0], 2025-07-17T07:12:05.6468913Z >>> shard_lengths=[5, 5], 2025-07-17T07:12:05.6469016Z >>> placement="rank:1/cuda:1" 2025-07-17T07:12:05.6469108Z >>> ) 2025-07-17T07:12:05.6469296Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2025-07-17T07:12:05.6469698Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2025-07-17T07:12:05.6469714Z 2025-07-17T07:12:05.6469968Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.6469973Z 2025-07-17T07:12:05.6593046Z msg = Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835. 2025-07-17T07:12:05.6593341Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.6593346Z 2025-07-17T07:12:05.6593620Z Initialize a ShardedTensor given only one local tensor, global sharded tensor 2025-07-17T07:12:05.6593754Z size and sharding spec on each rank. 2025-07-17T07:12:05.6593759Z 2025-07-17T07:12:05.6593840Z Args: 2025-07-17T07:12:05.6594074Z local_tensor (Tensor): Single tensor of local shard stored in each rank. 2025-07-17T07:12:05.6594329Z sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): 2025-07-17T07:12:05.6594493Z The specification describing how to shard the Tensor. 2025-07-17T07:12:05.6594672Z global_size (Sequence[int]): Size of the sharded tensor. 2025-07-17T07:12:05.6594920Z process_group (ProcessGroup, optional): The process group to aggregate on. 2025-07-17T07:12:05.6595009Z Default: None 2025-07-17T07:12:05.6595183Z init_rrefs (bool, optional): Whether or not to initialize 2025-07-17T07:12:05.6595386Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2025-07-17T07:12:05.6595588Z Need to initialize the RPC Framework if specified as ``True``. 2025-07-17T07:12:05.6595682Z Default: ``False``. 2025-07-17T07:12:05.6595691Z 2025-07-17T07:12:05.6595771Z Returns: 2025-07-17T07:12:05.6596024Z A :class:`ShardedTensor` sharded based on the given sharding_spec with local 2025-07-17T07:12:05.6596137Z tensor stored in the current rank. 2025-07-17T07:12:05.6596141Z 2025-07-17T07:12:05.6596225Z Examples: 2025-07-17T07:12:05.6596329Z >>> # xdoctest: +SKIP 2025-07-17T07:12:05.6596458Z >>> # All tensors below are of torch.int64 type. 2025-07-17T07:12:05.6596737Z >>> # We have 2 process groups, 2 ranks. 2025-07-17T07:12:05.6596911Z >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank 2025-07-17T07:12:05.6597108Z >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2])) 2025-07-17T07:12:05.6597209Z >>> local_tensor 2025-07-17T07:12:05.6597304Z tensor([[1, 2, 3, 4]]) # Rank 0 2025-07-17T07:12:05.6597395Z tensor([[3, 4, 5, 6]]) # Rank 1 2025-07-17T07:12:05.6597501Z >>> sharding_dim = 0 2025-07-17T07:12:05.6597618Z >>> sharding_spec = ChunkShardingSpec( 2025-07-17T07:12:05.6597800Z dim=sharding_dim, 2025-07-17T07:12:05.6597904Z placements=[ 2025-07-17T07:12:05.6597995Z "rank:0/cuda:0", 2025-07-17T07:12:05.6598085Z "rank:1/cuda:1", 2025-07-17T07:12:05.6598178Z ], 2025-07-17T07:12:05.6598256Z ) 2025-07-17T07:12:05.6598398Z >>> st = ShardedTensor._init_from_local_tensor( 2025-07-17T07:12:05.6598524Z ... local_tensor, sharding_spec, [2, 4] 2025-07-17T07:12:05.6598601Z ... ) 2025-07-17T07:12:05.6598694Z >>> st 2025-07-17T07:12:05.6598784Z ShardedTensor( 2025-07-17T07:12:05.6598888Z ShardedTensorMetadata( 2025-07-17T07:12:05.6598992Z shards_metadata=[ 2025-07-17T07:12:05.6599260Z ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0), 2025-07-17T07:12:05.6599520Z ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1), 2025-07-17T07:12:05.6599612Z ], 2025-07-17T07:12:05.6599714Z size=torch.Size([2, 4]) 2025-07-17T07:12:05.6599842Z ) 2025-07-17T07:12:05.6599985Z >>> st.local_tensor() 2025-07-17T07:12:05.6600103Z tensor([1, 2, 3, 4]) # Rank 0 2025-07-17T07:12:05.6600260Z tensor([3, 4, 5, 6]) # Rank 1 2025-07-17T07:12:05.6600265Z 2025-07-17T07:12:05.6600599Z Warning: This API is experimental and subject to change. It lacks of a fully across 2025-07-17T07:12:05.6600841Z rank validations, and we only validate the local shard on the current rank. 2025-07-17T07:12:05.6601142Z We fully rely on the user to ensure local tensor is sharded based on the 2025-07-17T07:12:05.6601289Z sharding spec. 2025-07-17T07:12:05.6601295Z 2025-07-17T07:12:05.6601672Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.6601680Z 2025-07-17T07:12:05.6602427Z msg = Cannot scrape callname=ShardedTensor.reshard in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076. 2025-07-17T07:12:05.6602700Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.6602705Z 2025-07-17T07:12:05.6602955Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support 2025-07-17T07:12:05.6603046Z single local shard. 2025-07-17T07:12:05.6603064Z 2025-07-17T07:12:05.6603285Z If ``resharding_spec`` is same as the original one, this becomes a no-op. 2025-07-17T07:12:05.6603524Z If only ``resharding_spec`` shares the same sharding dim with the original one, 2025-07-17T07:12:05.6603640Z we swap local shards directly. 2025-07-17T07:12:05.6603897Z For more generic cases, we merge different shards across different ranks and split 2025-07-17T07:12:05.6604146Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API. 2025-07-17T07:12:05.6604151Z 2025-07-17T07:12:05.6604242Z Args: 2025-07-17T07:12:05.6604527Z resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The 2025-07-17T07:12:05.6604700Z specification describing how the tensor is sharded. 2025-07-17T07:12:05.6604704Z 2025-07-17T07:12:05.6604786Z Returns: 2025-07-17T07:12:05.6604986Z A :class:`ShardedTensor` object whose local shards are resharded. 2025-07-17T07:12:05.6604990Z 2025-07-17T07:12:05.6605085Z Examples: 2025-07-17T07:12:05.6605177Z >>> # xdoctest: +SKIP 2025-07-17T07:12:05.6605378Z >>> # We have 2 process groups, 2 ranks. 2025-07-17T07:12:05.6605565Z >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank 2025-07-17T07:12:05.6605684Z >>> tensor = torch.stack([tensor, tensor]) 2025-07-17T07:12:05.6605768Z >>> tensor 2025-07-17T07:12:05.6605898Z tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0 2025-07-17T07:12:05.6606011Z tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1 2025-07-17T07:12:05.6606136Z tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2 2025-07-17T07:12:05.6606253Z tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3 2025-07-17T07:12:05.6606412Z >>> sharding_dim = 0 2025-07-17T07:12:05.6606534Z >>> spec = ChunkShardingSpec( 2025-07-17T07:12:05.6606631Z dim=sharding_dim, 2025-07-17T07:12:05.6606722Z placements=[ 2025-07-17T07:12:05.6606831Z "rank:0/cuda:0", 2025-07-17T07:12:05.6606926Z "rank:1/cuda:1", 2025-07-17T07:12:05.6607017Z "rank:2/cuda:2", 2025-07-17T07:12:05.6607125Z "rank:3/cuda:3", 2025-07-17T07:12:05.6607206Z ], 2025-07-17T07:12:05.6607301Z ) 2025-07-17T07:12:05.6607402Z >>> current_offsets = [0] * 2 2025-07-17T07:12:05.6607508Z >>> current_offsets[0] = rank * 2 2025-07-17T07:12:05.6607631Z >>> shard_metadata = ShardMetadata( 2025-07-17T07:12:05.6607779Z shard_offsets=copy.deepcopy(current_offsets), 2025-07-17T07:12:05.6607886Z shard_sizes=tensor.size(), 2025-07-17T07:12:05.6608019Z placement=spec.placements[rank], 2025-07-17T07:12:05.6608098Z ) 2025-07-17T07:12:05.6608193Z >>> local_shards = [ 2025-07-17T07:12:05.6608286Z Shard( 2025-07-17T07:12:05.6608377Z tensor=tensor, 2025-07-17T07:12:05.6608478Z metadata=shard_metadata, 2025-07-17T07:12:05.6608569Z ) 2025-07-17T07:12:05.6608647Z ] 2025-07-17T07:12:05.6608884Z >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size()) 2025-07-17T07:12:05.6608978Z >>> sharding_dim = 1 2025-07-17T07:12:05.6609096Z >>> resharding_spec = ChunkShardingSpec( 2025-07-17T07:12:05.6609200Z dim=sharding_dim, 2025-07-17T07:12:05.6609289Z placements=[ 2025-07-17T07:12:05.6609379Z "rank:0/cuda:0", 2025-07-17T07:12:05.6609480Z "rank:1/cuda:1", 2025-07-17T07:12:05.6609567Z "rank:2/cuda:2", 2025-07-17T07:12:05.6609656Z "rank:3/cuda:3", 2025-07-17T07:12:05.6609746Z ], 2025-07-17T07:12:05.6609827Z ) 2025-07-17T07:12:05.6609936Z >>> st.reshard(resharding_spec) 2025-07-17T07:12:05.6610056Z >>> tensor = st.local_shards()[0].tensor 2025-07-17T07:12:05.6610137Z >>> tensor 2025-07-17T07:12:05.6610284Z tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0 2025-07-17T07:12:05.6610417Z tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1 2025-07-17T07:12:05.6610546Z tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2 2025-07-17T07:12:05.6610697Z tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3 2025-07-17T07:12:05.6610701Z 2025-07-17T07:12:05.6610949Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.6610954Z 2025-07-17T07:12:05.6812293Z msg = Cannot scrape callname=ShardingPlan in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12. 2025-07-17T07:12:05.6813439Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.6813838Z 2025-07-17T07:12:05.6814134Z Representation of a sharding plan, describes how to shard a module 2025-07-17T07:12:05.6814750Z across hosts. `plan` is used to shard module parameters according to the spec provided, 2025-07-17T07:12:05.6815500Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output 2025-07-17T07:12:05.6816223Z layout of a module with a spec, and when to convert back to data parallel fashion. 2025-07-17T07:12:05.6816803Z 2025-07-17T07:12:05.6816885Z Args: 2025-07-17T07:12:05.6817334Z plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`, 2025-07-17T07:12:05.6817896Z :class:`torch.distributed._shard.sharder.Sharder`]): 2025-07-17T07:12:05.6818502Z a dict describes how to shard a module, there're currently two ways to shard a module: 2025-07-17T07:12:05.6819278Z 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of 2025-07-17T07:12:05.6819847Z a parameter to a `ShardingSpec`. 2025-07-17T07:12:05.6820486Z 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module 2025-07-17T07:12:05.6820962Z to a `Sharder` object. 2025-07-17T07:12:05.6821565Z output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional): 2025-07-17T07:12:05.6822346Z a dict specifies the layout of a module's output which produces a ShardedTensor, 2025-07-17T07:12:05.6823012Z keyed by the name of module to ShardingSpec("" in key means the root module). 2025-07-17T07:12:05.6823528Z Default: `None` 2025-07-17T07:12:05.6823945Z return_local_tensor (List[str], optional): a list of string, each element enables 2025-07-17T07:12:05.6824628Z a module's sharded output to be returned as a Tensor from its local shards to 2025-07-17T07:12:05.6825288Z ensure further processing in a data parallel fashion. ("" in list means the 2025-07-17T07:12:05.6825760Z root module). 2025-07-17T07:12:05.6826063Z Default: None 2025-07-17T07:12:05.6826290Z Example: 2025-07-17T07:12:05.6826755Z Suppose we want to shard a module with two linear layers and then run it with DDP, we also 2025-07-17T07:12:05.6827505Z want to convert the output of the second linear layer back to DDP, we can do it as follows: 2025-07-17T07:12:05.6827906Z 2025-07-17T07:12:05.6828098Z >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d) 2025-07-17T07:12:05.6828538Z >>> class MyModule(nn.Module): 2025-07-17T07:12:05.6828856Z >>> def __init__(self) -> None: 2025-07-17T07:12:05.6829231Z >>> super().__init__() 2025-07-17T07:12:05.6829513Z >>> self.fc1 = nn.Linear() 2025-07-17T07:12:05.6829878Z >>> self.gelu = nn.GELU() 2025-07-17T07:12:05.6830182Z >>> self.fc2 = nn.Linear() 2025-07-17T07:12:05.6830518Z >>> self.relu = nn.Linear() 2025-07-17T07:12:05.6830831Z >>> 2025-07-17T07:12:05.6831048Z >>> def forward(self, input): 2025-07-17T07:12:05.6831478Z >>> return self.relu(self.fc2(self.gelu(self.fc1(input)))) 2025-07-17T07:12:05.6831773Z 2025-07-17T07:12:05.6831777Z 2025-07-17T07:12:05.6831906Z >>> # xdoctest: +SKIP("Undefined spec1, spec2) 2025-07-17T07:12:05.6832324Z >>> sharding_plan = ShardingPlan( 2025-07-17T07:12:05.6832622Z >>> plan={ 2025-07-17T07:12:05.6832909Z >>> "fc1.weight": spec1, 2025-07-17T07:12:05.6833216Z >>> "fc2.weight": spec2 2025-07-17T07:12:05.6833493Z >>> }, 2025-07-17T07:12:05.6833765Z >>> output_plan={ 2025-07-17T07:12:05.6834026Z >>> "fc2": output_spec 2025-07-17T07:12:05.6834296Z >>> }, 2025-07-17T07:12:05.6834585Z >>> return_local_tensor=["fc2"] 2025-07-17T07:12:05.6834876Z >>> ) 2025-07-17T07:12:05.6834989Z 2025-07-17T07:12:05.6835313Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.6835679Z 2025-07-17T07:12:05.7718432Z msg = Cannot scrape callname=post_localSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72. 2025-07-17T07:12:05.7719709Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.7720106Z 2025-07-17T07:12:05.7720257Z Run post-localSGD algorithm. 2025-07-17T07:12:05.7720475Z 2025-07-17T07:12:05.7720708Z This DDP communication hook is used for running post-localSGD algorithm, 2025-07-17T07:12:05.7721475Z by combining with a model averaging component (e.g., 2025-07-17T07:12:05.7722121Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`) 2025-07-17T07:12:05.7722739Z that runs after the optimizer step. 2025-07-17T07:12:05.7722945Z 2025-07-17T07:12:05.7723039Z Args: 2025-07-17T07:12:05.7723439Z state (PostLocalSGDState): State information to run post-localSGD. 2025-07-17T07:12:05.7724044Z Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD. 2025-07-17T07:12:05.7725105Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2025-07-17T07:12:05.7725963Z Note that since DDP comm hook only supports single process single device mode, 2025-07-17T07:12:05.7726506Z only exactly one tensor is stored in this bucket. 2025-07-17T07:12:05.7726798Z 2025-07-17T07:12:05.7726887Z Returns: 2025-07-17T07:12:05.7727282Z Future handler of the communication, which updates the gradients in place. 2025-07-17T07:12:05.7727667Z 2025-07-17T07:12:05.7727784Z Example:: 2025-07-17T07:12:05.7728002Z >>> # xdoctest: +SKIP 2025-07-17T07:12:05.7728481Z >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup, 2025-07-17T07:12:05.7729031Z start_localSGD_iter=10) 2025-07-17T07:12:05.7729423Z >>> ddp_model.register_comm_hook(state, post_localSGD_hook) 2025-07-17T07:12:05.7730110Z >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``. 2025-07-17T07:12:05.7730974Z >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module. 2025-07-17T07:12:05.7731506Z 2025-07-17T07:12:05.7731768Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.7732198Z 2025-07-17T07:12:05.7772423Z msg = Cannot scrape callname=powerSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342. 2025-07-17T07:12:05.7773516Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.7773911Z 2025-07-17T07:12:05.7774023Z Implement PowerSGD algorithm. 2025-07-17T07:12:05.7774215Z 2025-07-17T07:12:05.7774454Z This DDP communication hook implements PowerSGD gradient compression 2025-07-17T07:12:05.7775038Z algorithm described in the `paper `_. 2025-07-17T07:12:05.7775639Z Once gradient tensors are aggregated across all workers, this hook applies 2025-07-17T07:12:05.7776104Z compression as follows: 2025-07-17T07:12:05.7776268Z 2025-07-17T07:12:05.7776732Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups: 2025-07-17T07:12:05.7777284Z 2025-07-17T07:12:05.7777716Z 1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth. 2025-07-17T07:12:05.7778253Z 2025-07-17T07:12:05.7778655Z 1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases). 2025-07-17T07:12:05.7779254Z 2025-07-17T07:12:05.7779365Z 2. Handles uncompressed tensors: 2025-07-17T07:12:05.7779578Z 2025-07-17T07:12:05.7780088Z 2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression; 2025-07-17T07:12:05.7780717Z 2025-07-17T07:12:05.7781076Z 2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor. 2025-07-17T07:12:05.7781535Z 2025-07-17T07:12:05.7781766Z 3. Handles the tensors that should be compressed by PowerSGD compression: 2025-07-17T07:12:05.7782127Z 2025-07-17T07:12:05.7782364Z 3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M, 2025-07-17T07:12:05.7783192Z such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized; 2025-07-17T07:12:05.7783698Z 2025-07-17T07:12:05.7783853Z 3.2. Computes each P in Ps, which is equal to MQ; 2025-07-17T07:12:05.7784109Z 2025-07-17T07:12:05.7784217Z 3.3. Allreduces Ps as a batch; 2025-07-17T07:12:05.7784435Z 2025-07-17T07:12:05.7784549Z 3.4. Orthogonalizes each P in Ps; 2025-07-17T07:12:05.7784773Z 2025-07-17T07:12:05.7784966Z 3.5. Computes each Q in Qs, which is approximately equal to M^TP; 2025-07-17T07:12:05.7785272Z 2025-07-17T07:12:05.7785488Z 3.6. Allreduces Qs as a batch; 2025-07-17T07:12:05.7785685Z 2025-07-17T07:12:05.7785980Z 3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T. 2025-07-17T07:12:05.7786404Z 2025-07-17T07:12:05.7786810Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations. 2025-07-17T07:12:05.7787630Z This not only gives the user more control over the tradeoff between speedup and accuracy, 2025-07-17T07:12:05.7788473Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers. 2025-07-17T07:12:05.7789017Z 2025-07-17T07:12:05.7789095Z Args: 2025-07-17T07:12:05.7789642Z state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc. 2025-07-17T07:12:05.7790551Z To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter`` 2025-07-17T07:12:05.7791135Z and ``min_compression_rate``. 2025-07-17T07:12:05.7791754Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2025-07-17T07:12:05.7792534Z Note that since DDP comm hook only supports single process single device mode, 2025-07-17T07:12:05.7793052Z only exactly one tensor is stored in this bucket. 2025-07-17T07:12:05.7793313Z 2025-07-17T07:12:05.7793410Z Returns: 2025-07-17T07:12:05.7793757Z Future handler of the communication, which updates the gradients in place. 2025-07-17T07:12:05.7794125Z 2025-07-17T07:12:05.7794224Z Example:: 2025-07-17T07:12:05.7794445Z >>> # xdoctest: +SKIP 2025-07-17T07:12:05.7794875Z >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1, 2025-07-17T07:12:05.7795431Z start_powerSGD_iter=10, min_compression_rate=0.5) 2025-07-17T07:12:05.7795871Z >>> ddp_model.register_comm_hook(state, powerSGD_hook) 2025-07-17T07:12:05.7796138Z 2025-07-17T07:12:05.7796406Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.7796773Z 2025-07-17T07:12:05.7823145Z msg = Cannot scrape callname=PeriodicModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38. 2025-07-17T07:12:05.7824273Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.7824672Z 2025-07-17T07:12:05.7824861Z Averages parameters periodically after the warm-up stage. 2025-07-17T07:12:05.7825154Z 2025-07-17T07:12:05.7825429Z This can be used for running `post-local SGD `_, 2025-07-17T07:12:05.7825980Z by running :class:`~torch.nn.DistributedDataParallel` (DDP) 2025-07-17T07:12:05.7826521Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`. 2025-07-17T07:12:05.7826883Z 2025-07-17T07:12:05.7826962Z Args: 2025-07-17T07:12:05.7827249Z period (int): The number of steps per model averaging. 2025-07-17T07:12:05.7827778Z Usually the period should be greater than ``1`` to reduce the communication cost. 2025-07-17T07:12:05.7828296Z Otherwise, only DDP needs to be used. 2025-07-17T07:12:05.7828741Z warmup_steps (int): The number of warm-up steps. During this stage, 2025-07-17T07:12:05.7829171Z model averaging is skipped. 2025-07-17T07:12:05.7829705Z process_group: The process group to be used for all-reduce. 2025-07-17T07:12:05.7830149Z If ``None``, the default process group, which 2025-07-17T07:12:05.7830598Z is created by :func:`torch.distributed.init_process_group`, 2025-07-17T07:12:05.7831017Z will be used. (default: ``None``) 2025-07-17T07:12:05.7831259Z 2025-07-17T07:12:05.7831353Z Example:: 2025-07-17T07:12:05.7831471Z 2025-07-17T07:12:05.7831605Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:05.7831981Z >>> import torch 2025-07-17T07:12:05.7832247Z >>> import torch.distributed as dist 2025-07-17T07:12:05.7832781Z >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD 2025-07-17T07:12:05.7833483Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2025-07-17T07:12:05.7833959Z >>> import torch.nn as nn 2025-07-17T07:12:05.7834235Z >>> 2025-07-17T07:12:05.7834531Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2025-07-17T07:12:05.7834914Z >>> torch.cuda.set_device(rank) 2025-07-17T07:12:05.7835259Z >>> module = nn.Linear(1, 1, bias=False).cuda() 2025-07-17T07:12:05.7835652Z >>> model = nn.parallel.DistributedDataParallel( 2025-07-17T07:12:05.7836053Z >>> module, device_ids=[rank], output_device=rank 2025-07-17T07:12:05.7836375Z >>> ) 2025-07-17T07:12:05.7836638Z >>> # Register a post-localSGD communication hook. 2025-07-17T07:12:05.7837194Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2025-07-17T07:12:05.7837758Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-07-17T07:12:05.7838114Z >>> 2025-07-17T07:12:05.7838491Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2025-07-17T07:12:05.7839022Z >>> # After 100 steps, run model averaging every 4 steps. 2025-07-17T07:12:05.7839605Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-07-17T07:12:05.7840283Z >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2025-07-17T07:12:05.7840752Z >>> for step in range(0, 200): 2025-07-17T07:12:05.7841046Z >>> optimizer.zero_grad() 2025-07-17T07:12:05.7841349Z >>> loss = loss_fn(output, labels) 2025-07-17T07:12:05.7841668Z >>> loss.backward() 2025-07-17T07:12:05.7841930Z >>> optimizer.step() 2025-07-17T07:12:05.7842308Z >>> # Will average model parameters globally every 4 steps. Thus, 2025-07-17T07:12:05.7842821Z >>> # inter-node communication only occurs every 4 iterations after 2025-07-17T07:12:05.7843253Z >>> # the initial ``warmup_steps`` period. 2025-07-17T07:12:05.7843650Z >>> averager.average_parameters(model.parameters()) 2025-07-17T07:12:05.7843930Z 2025-07-17T07:12:05.7844178Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.7844565Z 2025-07-17T07:12:05.7847184Z msg = Cannot scrape callname=HierarchicalModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19. 2025-07-17T07:12:05.7848413Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.7848787Z 2025-07-17T07:12:05.7849127Z Runs hierarchical model averaging (`hierarchical SGD `_). 2025-07-17T07:12:05.7849592Z 2025-07-17T07:12:05.7849903Z Process groups of different sizes are organized in a hierarchy, and they average parameters 2025-07-17T07:12:05.7850531Z by using different periods concurrently after the warm-up stage. 2025-07-17T07:12:05.7851250Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager` 2025-07-17T07:12:05.7852092Z that supports `post-local SGD `_, which essentially only supports 2025-07-17T07:12:05.7853016Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine 2025-07-17T07:12:05.7853799Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`. 2025-07-17T07:12:05.7854566Z Similarly, the process groups within this class do not have such an intra-machine process 2025-07-17T07:12:05.7855265Z subgroup, which should be embedded by the post-local SGD communication hook instead. 2025-07-17T07:12:05.7855668Z 2025-07-17T07:12:05.7855750Z Args: 2025-07-17T07:12:05.7856196Z period_group_size_dict: An ordered dict mapping keys of model averaging period to 2025-07-17T07:12:05.7856793Z process group size, used for initializing process groups of 2025-07-17T07:12:05.7857346Z different sizes in a hierarchy to average parameters concurrently. 2025-07-17T07:12:05.7857906Z Particularly, at each iteration, there will be at most a single 2025-07-17T07:12:05.7858476Z process group that runs averaging -- the period of such group should 2025-07-17T07:12:05.7859041Z have the largest period which the current step can be divided by. 2025-07-17T07:12:05.7859614Z For example, if the dict has three keys: 2, 4, and 8, 2025-07-17T07:12:05.7860111Z then this means totally three process groups will be created to 2025-07-17T07:12:05.7860655Z average parameters every 2, 4, and 8 iterations, respectively. 2025-07-17T07:12:05.7861178Z At the 4th iteration, only the second process group will run 2025-07-17T07:12:05.7861728Z averaging, because the first process group should be a 2025-07-17T07:12:05.7862242Z subset of the second process group, and no need to execute the first 2025-07-17T07:12:05.7862709Z process group redundantly. 2025-07-17T07:12:05.7863130Z On the other hand, the third process group can only be triggered 2025-07-17T07:12:05.7863773Z every 8 iterations, so it will not be triggered at the 4th iteration. 2025-07-17T07:12:05.7864417Z warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped. 2025-07-17T07:12:05.7865285Z process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging. 2025-07-17T07:12:05.7866015Z If ``None``, the default process group, which is created 2025-07-17T07:12:05.7866519Z by :func:`torch.distributed.init_process_group`, will be used. 2025-07-17T07:12:05.7866968Z (default: ``None``) 2025-07-17T07:12:05.7867198Z 2025-07-17T07:12:05.7867301Z Example:: 2025-07-17T07:12:05.7867532Z >>> # xdoctest: +SKIP('undefined rank') 2025-07-17T07:12:05.7867876Z >>> from collections import OrderedDict 2025-07-17T07:12:05.7868192Z >>> import torch 2025-07-17T07:12:05.7868442Z >>> import torch.distributed as dist 2025-07-17T07:12:05.7868937Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2025-07-17T07:12:05.7869602Z >>> PostLocalSGDState, 2025-07-17T07:12:05.7869935Z >>> post_localSGD_hook, 2025-07-17T07:12:05.7870203Z >>> ) 2025-07-17T07:12:05.7870708Z >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD 2025-07-17T07:12:05.7871304Z >>> import torch.nn as nn 2025-07-17T07:12:05.7871563Z >>> 2025-07-17T07:12:05.7871856Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2025-07-17T07:12:05.7872257Z >>> torch.cuda.set_device(rank) 2025-07-17T07:12:05.7872590Z >>> module = nn.Linear(1, 1, bias=False).to(rank) 2025-07-17T07:12:05.7873147Z >>> model = nn.parallel.DistributedDataParallel( 2025-07-17T07:12:05.7873555Z >>> module, device_ids=[rank], output_device=rank 2025-07-17T07:12:05.7873877Z >>> ) 2025-07-17T07:12:05.7874141Z >>> # Register a post-localSGD communication hook. 2025-07-17T07:12:05.7874669Z >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4. 2025-07-17T07:12:05.7875180Z >>> subgroup, _ = dist.new_subgroups() 2025-07-17T07:12:05.7875705Z >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100) 2025-07-17T07:12:05.7876373Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-07-17T07:12:05.7876733Z >>> 2025-07-17T07:12:05.7877118Z >>> # Average parameters among each group of 8 processes every 4 iterations, and among all 2025-07-17T07:12:05.7877639Z >>> # the 16 processes every 16 iterations. 2025-07-17T07:12:05.7878058Z >>> averager = hierarchicalSGD.HierarchicalModelAverager( 2025-07-17T07:12:05.7878591Z >>> period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100) 2025-07-17T07:12:05.7879246Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-07-17T07:12:05.7879946Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2025-07-17T07:12:05.7880489Z >>> # After 100 steps, run model averaging at two levels. 2025-07-17T07:12:05.7880847Z >>> for step in range(0, 200): 2025-07-17T07:12:05.7881154Z >>> optimizer.zero_grad() 2025-07-17T07:12:05.7881461Z >>> loss = loss_fn(output, labels) 2025-07-17T07:12:05.7881767Z >>> loss.backward() 2025-07-17T07:12:05.7882040Z >>> optimizer.step() 2025-07-17T07:12:05.7882369Z >>> # Average parameters after ``optimizer.step()``. 2025-07-17T07:12:05.7882916Z >>> # Thus, the inter-node communication only occurs periodically after ``warmup_steps``. 2025-07-17T07:12:05.7883470Z >>> averager.average_parameters(model.parameters()) 2025-07-17T07:12:05.7883748Z 2025-07-17T07:12:05.7883837Z .. warning :: 2025-07-17T07:12:05.7884217Z The last group size in the dict must be the size of the provided ``process_group``, 2025-07-17T07:12:05.7884804Z which indicates model averaging at the highest level of the hierarchy. 2025-07-17T07:12:05.7885453Z If ``process_group`` is not provided, then the last group size should be equal to the world size. 2025-07-17T07:12:05.7885879Z 2025-07-17T07:12:05.7885965Z .. warning :: 2025-07-17T07:12:05.7886333Z `HierarchicalModelAverager` is experimental and subject to change. 2025-07-17T07:12:05.7886676Z 2025-07-17T07:12:05.7886923Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.7887298Z 2025-07-17T07:12:05.8376082Z msg = Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=40. 2025-07-17T07:12:05.8377241Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.8377620Z 2025-07-17T07:12:05.8377943Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint 2025-07-17T07:12:05.8378723Z on the coordinator rank, and then broadcast and shard each tensor to all ranks. 2025-07-17T07:12:05.8379268Z 2025-07-17T07:12:05.8379452Z . N.B. Intended to be used with DynamicMetaLoadPlanner 2025-07-17T07:12:05.8379724Z 2025-07-17T07:12:05.8379842Z .. warning:: 2025-07-17T07:12:05.8380164Z Current implementation only supports loading Tensors. 2025-07-17T07:12:05.8380445Z 2025-07-17T07:12:05.8380554Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:05.8380871Z >>> sd = {"mode": model} 2025-07-17T07:12:05.8381124Z >>> dcp.load( 2025-07-17T07:12:05.8381324Z >>> sd, 2025-07-17T07:12:05.8381596Z >>> storage_reader=BroadcastingTorchSaveReader(), 2025-07-17T07:12:05.8381983Z >>> planner=DynamicMetaLoadPlanner(), 2025-07-17T07:12:05.8382563Z >>> checkpoint_id="path_to_model.pt" 2025-07-17T07:12:05.8382867Z >>> ) 2025-07-17T07:12:05.8382976Z 2025-07-17T07:12:05.8383237Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.8383605Z 2025-07-17T07:12:05.8384295Z msg = Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=151. 2025-07-17T07:12:05.8385336Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.8385728Z 2025-07-17T07:12:05.8386191Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict, 2025-07-17T07:12:05.8386999Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a 2025-07-17T07:12:05.8387557Z metadata file, like Torch Save files. 2025-07-17T07:12:05.8387768Z 2025-07-17T07:12:05.8387943Z . N.B. Intended to be used with BroadcastingTorchSaveReader 2025-07-17T07:12:05.8388278Z 2025-07-17T07:12:05.8388378Z .. warning:: 2025-07-17T07:12:05.8388677Z Current implementation only supports loading Tensors. 2025-07-17T07:12:05.8388952Z 2025-07-17T07:12:05.8389061Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:05.8389376Z >>> sd = {"mode": model} 2025-07-17T07:12:05.8389630Z >>> dcp.load( 2025-07-17T07:12:05.8389833Z >>> sd, 2025-07-17T07:12:05.8390110Z >>> storage_reader=BroadcastingTorchSaveReader(), 2025-07-17T07:12:05.8390501Z >>> planner=DynamicMetaLoadPlanner(), 2025-07-17T07:12:05.8390853Z >>> checkpoint_id="path_to_model.pt" 2025-07-17T07:12:05.8391142Z >>> ) 2025-07-17T07:12:05.8391265Z 2025-07-17T07:12:05.8391513Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.8391879Z 2025-07-17T07:12:05.8489204Z msg = Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/optimizer.py line=221. 2025-07-17T07:12:05.8490292Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.8490669Z 2025-07-17T07:12:05.8490875Z Load a state_dict in conjunction with FSDP sharded optimizer state. 2025-07-17T07:12:05.8491208Z 2025-07-17T07:12:05.8491369Z This is the current recommended way to checkpoint FSDP. 2025-07-17T07:12:05.8491744Z >>> # xdoctest: +SKIP 2025-07-17T07:12:05.8492056Z >>> import torch.distributed.checkpoint as dist_cp 2025-07-17T07:12:05.8492397Z >>> # Save 2025-07-17T07:12:05.8492624Z >>> model: torch.nn.Model 2025-07-17T07:12:05.8492926Z >>> optim_params = model.parameters() 2025-07-17T07:12:05.8493278Z >>> optim = torch.optim.SGD(optim_params, lr=0.01) 2025-07-17T07:12:05.8493623Z >>> # Save 2025-07-17T07:12:05.8493961Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT): 2025-07-17T07:12:05.8494379Z >>> state_dict = { 2025-07-17T07:12:05.8494696Z >>> "optimizer": FSDP.optim_state_dict(model, optim), 2025-07-17T07:12:05.8495084Z >>> "model": model.state_dict() 2025-07-17T07:12:05.8495405Z >>> } 2025-07-17T07:12:05.8495633Z >>> dist_cp.save_state_dict( 2025-07-17T07:12:05.8495934Z >>> state_dict=optim_state, 2025-07-17T07:12:05.8496327Z >>> storage_writer=dist_cp.FileSystemWriter("checkpoint"), 2025-07-17T07:12:05.8496740Z >>> planner=dist_cp.DefaultSavePlanner(), 2025-07-17T07:12:05.8497064Z >>> ) 2025-07-17T07:12:05.8497268Z >>> 2025-07-17T07:12:05.8497447Z >>> # Load 2025-07-17T07:12:05.8497800Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT): 2025-07-17T07:12:05.8498268Z >>> model_state_dict = model_tp.state_dict() 2025-07-17T07:12:05.8498584Z >>> checkpoint = { 2025-07-17T07:12:05.8498844Z >>> "model": model_state_dict 2025-07-17T07:12:05.8499201Z >>> } 2025-07-17T07:12:05.8499410Z >>> dist_cp.load_state_dict( 2025-07-17T07:12:05.8499706Z >>> state_dict=checkpoint, 2025-07-17T07:12:05.8500262Z >>> storage_reader=dist_cp.FileSystemReader(checkpoint_file), 2025-07-17T07:12:05.8500704Z >>> planner=dist_cp.DefaultLoadPlanner(), 2025-07-17T07:12:05.8501015Z >>> ) 2025-07-17T07:12:05.8501289Z >>> model.load_state_dict(checkpoint["model_state"]) 2025-07-17T07:12:05.8501638Z >>> 2025-07-17T07:12:05.8501907Z >>> optim_state = dist_cp.load_sharded_optimizer_state_dict( 2025-07-17T07:12:05.8502291Z >>> model_state_dict, 2025-07-17T07:12:05.8502584Z >>> optimizer_key="optimizer", 2025-07-17T07:12:05.8503478Z >>> storage_reader=dist_cp.FileSystemReader("checkpoint"), 2025-07-17T07:12:05.8503862Z >>> ) 2025-07-17T07:12:05.8504063Z >>> 2025-07-17T07:12:05.8504308Z >>> flattened_osd = FSDP.optim_state_dict_to_load( 2025-07-17T07:12:05.8504699Z >>> model, optim, optim_state["optimizer"] 2025-07-17T07:12:05.8505021Z >>> ) 2025-07-17T07:12:05.8505208Z >>> 2025-07-17T07:12:05.8505441Z >>> optim.load_state_dict(flattened_osd) 2025-07-17T07:12:05.8505682Z 2025-07-17T07:12:05.8505930Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.8506296Z 2025-07-17T07:12:05.8522241Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-07-17T07:12:05.8523305Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.8523698Z 2025-07-17T07:12:05.8523982Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-07-17T07:12:05.8524416Z 2025-07-17T07:12:05.8524706Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-07-17T07:12:05.8525116Z 2025-07-17T07:12:05.8525400Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-07-17T07:12:05.8525910Z will be visible to the whole process. 2025-07-17T07:12:05.8526123Z 2025-07-17T07:12:05.8526399Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-07-17T07:12:05.8526805Z 2025-07-17T07:12:05.8526923Z 1) set_up_planner - called on all ranks. 2025-07-17T07:12:05.8527271Z Signals the start of a checkpoint save. 2025-07-17T07:12:05.8527521Z 2025-07-17T07:12:05.8527651Z 2) create_local_plan - called on all ranks. 2025-07-17T07:12:05.8528160Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-07-17T07:12:05.8528825Z 2025-07-17T07:12:05.8529006Z 3) create_global_plan - called on the coordinator rank only. 2025-07-17T07:12:05.8529794Z Takes the SavePlan from all ranks and make any global decision. 2025-07-17T07:12:05.8530107Z 2025-07-17T07:12:05.8530234Z 4) finish_plan - called on all ranks. 2025-07-17T07:12:05.8530650Z This gives each rank a chance to adjust to global planning decisions. 2025-07-17T07:12:05.8530990Z 2025-07-17T07:12:05.8531140Z 5) resolve_data - called multiple times on each rank 2025-07-17T07:12:05.8531613Z Lookups a value on the `state_dict` for the storage layer to write. 2025-07-17T07:12:05.8531927Z 2025-07-17T07:12:05.8532237Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-07-17T07:12:05.8532833Z most changes can be expressed by changes in a single method. 2025-07-17T07:12:05.8533137Z 2025-07-17T07:12:05.8533256Z There are 3 usual patterns of extension: 2025-07-17T07:12:05.8533477Z 2025-07-17T07:12:05.8533735Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-07-17T07:12:05.8534324Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-07-17T07:12:05.8534669Z 2025-07-17T07:12:05.8534779Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:05.8535127Z >>> class RenamePlanner(DefaultSavePlanner): 2025-07-17T07:12:05.8535464Z >>> def set_up_planner( 2025-07-17T07:12:05.8535715Z >>> self, 2025-07-17T07:12:05.8535963Z >>> state_dict: STATE_DICT_TYPE, 2025-07-17T07:12:05.8536433Z >>> storage_meta: Optional[StorageMeta], 2025-07-17T07:12:05.8536760Z >>> is_coordinator: bool, 2025-07-17T07:12:05.8537049Z >>> ) -> None: 2025-07-17T07:12:05.8537300Z >>> # prefix all keys with `foo_`` 2025-07-17T07:12:05.8537782Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-07-17T07:12:05.8538197Z 2025-07-17T07:12:05.8538525Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-07-17T07:12:05.8538982Z 2025-07-17T07:12:05.8539284Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:05.8539636Z >>> class FP16Planner(DefaultSavePlanner): 2025-07-17T07:12:05.8539963Z >>> def create_local_plan(self): 2025-07-17T07:12:05.8540338Z >>> plan = super().create_local_plan() 2025-07-17T07:12:05.8540664Z >>> for p in plan: 2025-07-17T07:12:05.8540942Z >>> if p.tensor_data is not None: 2025-07-17T07:12:05.8541324Z >>> p.tensor_data.properties.dtype = torch.float16 2025-07-17T07:12:05.8541694Z >>> return plan 2025-07-17T07:12:05.8541946Z >>> 2025-07-17T07:12:05.8542160Z >>> def resolve_data(self, write_item): 2025-07-17T07:12:05.8542510Z >>> item = super().resolve_data(write_item) 2025-07-17T07:12:05.8543026Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-07-17T07:12:05.8543415Z 2025-07-17T07:12:05.8543754Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-07-17T07:12:05.8544224Z 2025-07-17T07:12:05.8544339Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:05.8544675Z >>> from itertools import zip_longest 2025-07-17T07:12:05.8545010Z >>> from dataclasses import replace 2025-07-17T07:12:05.8545379Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-07-17T07:12:05.8545935Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-07-17T07:12:05.8546464Z >>> # This sample doesn't handle ShardedTensors 2025-07-17T07:12:05.8546822Z >>> def create_global_plan(self, all_plans): 2025-07-17T07:12:05.8547216Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-07-17T07:12:05.8547583Z >>> items_per_rank = [ 2025-07-17T07:12:05.8547893Z >>> [item for item in items if item is not None] 2025-07-17T07:12:05.8548304Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-07-17T07:12:05.8548663Z >>> ] 2025-07-17T07:12:05.8548892Z >>> all_plans = [ 2025-07-17T07:12:05.8549164Z >>> replace(plan, items=items) 2025-07-17T07:12:05.8549575Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-07-17T07:12:05.8549977Z >>> ] 2025-07-17T07:12:05.8550236Z >>> return super().create_global_plan(all_plans) 2025-07-17T07:12:05.8550501Z 2025-07-17T07:12:05.8550765Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-07-17T07:12:05.8551432Z accomplished by having each rank contribute their data items in the local plan and 2025-07-17T07:12:05.8551936Z the global planner aggregate them: 2025-07-17T07:12:05.8552139Z 2025-07-17T07:12:05.8552249Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:05.8552622Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-07-17T07:12:05.8553016Z >>> def create_local_plan(self) -> SavePlan: 2025-07-17T07:12:05.8553359Z >>> plan = super().create_local_plan() 2025-07-17T07:12:05.8553748Z >>> return replace(plan, planner_data="per-rank-data") 2025-07-17T07:12:05.8554106Z >>> 2025-07-17T07:12:05.8554502Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-07-17T07:12:05.8555113Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-07-17T07:12:05.8555587Z >>> merged_data = [p.planner_data for p in global_plan] 2025-07-17T07:12:05.8556031Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-07-17T07:12:05.8556505Z >>> return global_plan, metadata 2025-07-17T07:12:05.8556731Z 2025-07-17T07:12:05.8556981Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.8557347Z 2025-07-17T07:12:05.8557985Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-07-17T07:12:05.8558950Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.8559321Z 2025-07-17T07:12:05.8559685Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-07-17T07:12:05.8560085Z 2025-07-17T07:12:05.8560367Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-07-17T07:12:05.8560780Z 2025-07-17T07:12:05.8561055Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-07-17T07:12:05.8561574Z will be visible to the whole process. 2025-07-17T07:12:05.8561785Z 2025-07-17T07:12:05.8562069Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-07-17T07:12:05.8562459Z 2025-07-17T07:12:05.8562575Z 1) set_up_planner - called on all ranks. 2025-07-17T07:12:05.8562929Z Signals the start of loading a checkpoint. 2025-07-17T07:12:05.8563162Z 2025-07-17T07:12:05.8563295Z 2) create_local_plan - called on all ranks. 2025-07-17T07:12:05.8563809Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-07-17T07:12:05.8564211Z 2025-07-17T07:12:05.8564390Z 3) create_global_plan - called on the coordinator rank only. 2025-07-17T07:12:05.8564880Z Takes the LoadPlan from all ranks and make any global decision. 2025-07-17T07:12:05.8565187Z 2025-07-17T07:12:05.8565343Z 4) load_bytes - called multiple times on each rank 2025-07-17T07:12:05.8565751Z This is called once per non-tensor value in state_dict. 2025-07-17T07:12:05.8566041Z 2025-07-17T07:12:05.8566259Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-07-17T07:12:05.8566776Z They are called in pair for each Tensor value in state_dict. 2025-07-17T07:12:05.8567065Z 2025-07-17T07:12:05.8567376Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-07-17T07:12:05.8567967Z most changes can be expressed by changes in a single method. 2025-07-17T07:12:05.8568269Z 2025-07-17T07:12:05.8568391Z There are two usual patterns of extension: 2025-07-17T07:12:05.8568631Z 2025-07-17T07:12:05.8568883Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-07-17T07:12:05.8569722Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-07-17T07:12:05.8570313Z to keep a reference to the original state_dict as load happens in place so 2025-07-17T07:12:05.8570782Z we need to be able to perform it in place 2025-07-17T07:12:05.8571008Z 2025-07-17T07:12:05.8571140Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:05.8571479Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-07-17T07:12:05.8571823Z >>> def set_up_planner( 2025-07-17T07:12:05.8572085Z >>> self, 2025-07-17T07:12:05.8572322Z >>> state_dict: STATE_DICT_TYPE, 2025-07-17T07:12:05.8572638Z >>> metadata: Metadata, 2025-07-17T07:12:05.8572928Z >>> is_coordinator: bool, 2025-07-17T07:12:05.8573213Z >>> ) -> None: 2025-07-17T07:12:05.8573463Z >>> self.original_state_dict = state_dict 2025-07-17T07:12:05.8573875Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-07-17T07:12:05.8574246Z >>> 2025-07-17T07:12:05.8574462Z >>> if self.flatten_sharded_tensors: 2025-07-17T07:12:05.8574838Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-07-17T07:12:05.8575187Z >>> 2025-07-17T07:12:05.8575390Z >>> if self.flatten_state_dict: 2025-07-17T07:12:05.8575786Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-07-17T07:12:05.8576348Z >>> 2025-07-17T07:12:05.8576553Z >>> self.state_dict = state_dict 2025-07-17T07:12:05.8576875Z >>> self.metadata = metadata 2025-07-17T07:12:05.8577204Z >>> self.is_coordinator = is_coordinator 2025-07-17T07:12:05.8577524Z >>> 2025-07-17T07:12:05.8577804Z >>> def load_bytes(self, read_item, value): 2025-07-17T07:12:05.8578141Z >>> # Remove the "foo_" prefix 2025-07-17T07:12:05.8578646Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-07-17T07:12:05.8579145Z 2025-07-17T07:12:05.8579246Z 2025-07-17T07:12:05.8579508Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-07-17T07:12:05.8579894Z 2025-07-17T07:12:05.8580005Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:05.8580380Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-07-17T07:12:05.8580765Z >>> def resolve_tensor(self, read_item): 2025-07-17T07:12:05.8581110Z >>> tensor = super().resolve_tensor(read_item) 2025-07-17T07:12:05.8581500Z >>> return torch.empty_like(tensor, device="cpu") 2025-07-17T07:12:05.8581838Z >>> 2025-07-17T07:12:05.8582066Z >>> def commit_tensor(self, read_item, tensor): 2025-07-17T07:12:05.8582463Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-07-17T07:12:05.8582726Z 2025-07-17T07:12:05.8582987Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.8583349Z 2025-07-17T07:12:05.8726741Z msg = Cannot scrape callname=get_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py line=1118. 2025-07-17T07:12:05.8727875Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.8728272Z 2025-07-17T07:12:05.8728478Z Return the model state_dict and optimizers state_dict. 2025-07-17T07:12:05.8728780Z 2025-07-17T07:12:05.8729003Z ``get_state_dict`` can process any module that is parallelized by PyTorch 2025-07-17T07:12:05.8743667Z FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any 2025-07-17T07:12:05.8744383Z combination of these parallelisms. The main functions of ``get_state_dict`` 2025-07-17T07:12:05.8745022Z are: 1.) returning a model and optimizer state_dict that can be resharded 2025-07-17T07:12:05.8745648Z with a different number of trainers and/or different parallelisms. 2025-07-17T07:12:05.8746302Z 2.) hiding the parallelism-specific state_dict APIs. Users don't have to call 2025-07-17T07:12:05.8746780Z these APIs. 2025-07-17T07:12:05.8747100Z 3.) sanity checking the result state_dict. 2025-07-17T07:12:05.8747331Z 2025-07-17T07:12:05.8747574Z The keys of the result state dictionary are the canonical FQNs (Fully 2025-07-17T07:12:05.8748173Z Qualified Names). A canonical FQN refers to the FQN based on a parameter's 2025-07-17T07:12:05.8748869Z position in an nn.Module hierarchy. More specifically, a canonical FQN to a 2025-07-17T07:12:05.8749516Z parameter is the FQN returned by ``module.named_parameters()`` or 2025-07-17T07:12:05.8750094Z ``module.named_buffers()`` when the module is not distributed by any 2025-07-17T07:12:05.8750667Z parallelisms. Since the optimizer internally uses parameter IDs to represent 2025-07-17T07:12:05.8751340Z a parameter, there will be a conversion from the parameter IDs to the 2025-07-17T07:12:05.8751862Z canonical FQNs when calling this API. 2025-07-17T07:12:05.8752074Z 2025-07-17T07:12:05.8752317Z ``get_state_dict`` can also process a module that is not parallelized. In 2025-07-17T07:12:05.8752940Z such a case, ``get_state_dict`` only performs one function -- converting the 2025-07-17T07:12:05.8753502Z optimizer parameter IDs to the canonical FQNs. 2025-07-17T07:12:05.8753751Z 2025-07-17T07:12:05.8753848Z Example: 2025-07-17T07:12:05.8754127Z >>> # xdoctest: +SKIP 2025-07-17T07:12:05.8754394Z >>> import torch 2025-07-17T07:12:05.8754842Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-07-17T07:12:05.8755675Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2025-07-17T07:12:05.8756207Z >>> from torch.distributed.checkpoint.state_dict import get_state_dict 2025-07-17T07:12:05.8756634Z 2025-07-17T07:12:05.8756762Z >>> fsdp_model = FSDP(copy.deepcopy(model)) 2025-07-17T07:12:05.8757248Z >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3) 2025-07-17T07:12:05.8757667Z >>> ddp_model = DDP(copy.deepcopy(model)) 2025-07-17T07:12:05.8758151Z >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3) 2025-07-17T07:12:05.8758554Z 2025-07-17T07:12:05.8758559Z 2025-07-17T07:12:05.8758861Z >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim) 2025-07-17T07:12:05.8759395Z >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict( 2025-07-17T07:12:05.8759849Z ... fsdp_model, fsdp_optim 2025-07-17T07:12:05.8760134Z ... ) 2025-07-17T07:12:05.8760249Z 2025-07-17T07:12:05.8760550Z >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(), 2025-07-17T07:12:05.8760975Z >>> # the asserts will fail. 2025-07-17T07:12:05.8761364Z >>> assert ddp_state_dict == fsdp_state_dict 2025-07-17T07:12:05.8761754Z >>> assert ddp_optim_state == fsdp_optim_state_dict 2025-07-17T07:12:05.8762076Z 2025-07-17T07:12:05.8762080Z 2025-07-17T07:12:05.8762177Z Args: 2025-07-17T07:12:05.8762526Z model (nn.Module): the nn.Module to the model. 2025-07-17T07:12:05.8763148Z optimizers (Union[None, Optimizer, Iterable[Optimizer]]): 2025-07-17T07:12:05.8763632Z The optimizers that are used to optimize ``model``. 2025-07-17T07:12:05.8764469Z submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters 2025-07-17T07:12:05.8765031Z that belong to the submodules. 2025-07-17T07:12:05.8765414Z options (StateDictOptions): the options to control how 2025-07-17T07:12:05.8765909Z model state_dict and optimizer state_dict should be returned. See 2025-07-17T07:12:05.8766033Z `StateDictOptions` for the details. 2025-07-17T07:12:05.8766038Z 2025-07-17T07:12:05.8766121Z Returns: 2025-07-17T07:12:05.8766323Z ``Tuple`` that contain model state_dict and optimizer state_dict. 2025-07-17T07:12:05.8766328Z 2025-07-17T07:12:05.8766550Z :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType] 2025-07-17T07:12:05.8766555Z 2025-07-17T07:12:05.8766816Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.8766820Z 2025-07-17T07:12:05.8767455Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=62. 2025-07-17T07:12:05.8767726Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.8767730Z 2025-07-17T07:12:05.8767921Z Load a checkpoint into a distributed state dict in SPMD style. 2025-07-17T07:12:05.8767926Z 2025-07-17T07:12:05.8768160Z Each rank must have the same keys in their ``state_dict`` provided to this 2025-07-17T07:12:05.8768388Z API. Mismatched keys may result in hangs or errors. If unsure, you can use 2025-07-17T07:12:05.8768601Z the ``utils._assert_same_keys`` API to check (but may incur communication 2025-07-17T07:12:05.8768698Z costs). 2025-07-17T07:12:05.8768702Z 2025-07-17T07:12:05.8768878Z Each rank will try to read the least amount of data necessary 2025-07-17T07:12:05.8769106Z to fulfill the requested `state_dict`. When loading :class:`ShardedTensor` 2025-07-17T07:12:05.8769363Z or :class:`DTensor` instances, each rank only reads data for their local shards. 2025-07-17T07:12:05.8769368Z 2025-07-17T07:12:05.8769804Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2025-07-17T07:12:05.8770071Z load will first call ``state_dict`` before attempting deserialization, followed by 2025-07-17T07:12:05.8770236Z ``load_state_dict`` once the deserialization is complete. 2025-07-17T07:12:05.8770633Z For each non-``Stateful`` object, load will deserialize the object, and then replace 2025-07-17T07:12:05.8770797Z it in the ``state_dict`` with the deserialized object. 2025-07-17T07:12:05.8770802Z 2025-07-17T07:12:05.8770906Z .. warning:: 2025-07-17T07:12:05.8771082Z All tensors in ``state_dict`` must be allocated on their 2025-07-17T07:12:05.8771245Z destination device *prior to* calling this function. 2025-07-17T07:12:05.8771249Z 2025-07-17T07:12:05.8771469Z All non-tensor data is loaded using `torch.load()` and modified in place 2025-07-17T07:12:05.8771576Z on state_dict. 2025-07-17T07:12:05.8771662Z 2025-07-17T07:12:05.8771752Z .. warning:: 2025-07-17T07:12:05.8771951Z Users must call `load_state_dict` on the root module to ensure load 2025-07-17T07:12:05.8772145Z pos-processing and non-tensor data properly propagates. 2025-07-17T07:12:05.8772150Z 2025-07-17T07:12:05.8772232Z .. note: 2025-07-17T07:12:05.8772465Z If no process group is initialized, this function will assume the intent 2025-07-17T07:12:05.8772689Z is to load a checkpoint into the local process. This can be useful in the 2025-07-17T07:12:05.8772934Z case of local inference, and when using regular Tensors (as opposed to DTensor 2025-07-17T07:12:05.8773043Z or ShardedTensor) 2025-07-17T07:12:05.8773048Z 2025-07-17T07:12:05.8773130Z .. note: 2025-07-17T07:12:05.8773264Z Rank 0 is assumed to be the coordinator rank. 2025-07-17T07:12:05.8773269Z 2025-07-17T07:12:05.8773393Z Args: 2025-07-17T07:12:05.8773621Z state_dict (Dict[str, Any]): The state_dict to load the checkpoint into. 2025-07-17T07:12:05.8773781Z checkpoint_id (Union[str, os.PathLike, None]): 2025-07-17T07:12:05.8773988Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-07-17T07:12:05.8774188Z depends on the storage. It can be a path to a folder or to a file. 2025-07-17T07:12:05.8774366Z It can also be a key if the storage is a key-value store. 2025-07-17T07:12:05.8774466Z (Default: ``None``) 2025-07-17T07:12:05.8774593Z storage_reader (Optional[StorageReader]): 2025-07-17T07:12:05.8774809Z Instance of StorageWriter used to perform reads. If this is not 2025-07-17T07:12:05.8775009Z specified, DCP will automatically infer the reader based on the 2025-07-17T07:12:05.8775218Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-07-17T07:12:05.8775324Z be raised. (Default: ``None``) 2025-07-17T07:12:05.8775437Z planner (Optional[LoadPlanner]): 2025-07-17T07:12:05.8775651Z Instance of LoadPlanner. If this is not specified, the default 2025-07-17T07:12:05.8775776Z planner will be used. (Default: ``None``) 2025-07-17T07:12:05.8775900Z process_group (Optional[ProcessGroup]): 2025-07-17T07:12:05.8776091Z ProcessGroup to be used for cross-rank synchronization. 2025-07-17T07:12:05.8776184Z (Default: ``None``) 2025-07-17T07:12:05.8776392Z no_dist (bool): If ``True``, this function will assume the intent is to load 2025-07-17T07:12:05.8781248Z a checkpoint without using cross-rank synchronization. (Default: ``False``) 2025-07-17T07:12:05.8781390Z Returns: 2025-07-17T07:12:05.8781507Z None. 2025-07-17T07:12:05.8781527Z 2025-07-17T07:12:05.8781612Z Examples 2025-07-17T07:12:05.8781709Z >>> # xdoctest: +SKIP 2025-07-17T07:12:05.8781823Z >>> my_model = MyModule() 2025-07-17T07:12:05.8781960Z >>> optimizer = Adagrad(my_model.parameters()) 2025-07-17T07:12:05.8782084Z >>> model_state_dict = my_model.state_dict() 2025-07-17T07:12:05.8782345Z >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader( 2025-07-17T07:12:05.8782441Z ... "/checkpoint/1" 2025-07-17T07:12:05.8782523Z ... ) 2025-07-17T07:12:05.8782527Z 2025-07-17T07:12:05.8782694Z >>> torch.distributed.checkpoint.load_state_dict( 2025-07-17T07:12:05.8782803Z >>> state_dict=model_state_dict, 2025-07-17T07:12:05.8782931Z >>> storage_reader=fs_storage_reader, 2025-07-17T07:12:05.8783075Z >>> ) 2025-07-17T07:12:05.8783116Z 2025-07-17T07:12:05.8783313Z >>> # module.load_state_dict() function might have customized steps 2025-07-17T07:12:05.8783454Z >>> # to flush the state_dict, must call it to 2025-07-17T07:12:05.8783559Z >>> # ensure correct behavior. 2025-07-17T07:12:05.8783685Z >>> my_model.load_state_dict(model_state_dict) 2025-07-17T07:12:05.8783689Z 2025-07-17T07:12:05.8783796Z .. note:: 2025-07-17T07:12:05.8784005Z load_state_dict uses collectives to coordinate reads across ranks. 2025-07-17T07:12:05.8784279Z For NCCL-based process groups, internal tensor representations of 2025-07-17T07:12:05.8784519Z objects must be moved to the GPU device before communication takes place. 2025-07-17T07:12:05.8784741Z In this case, the device used is given by ``torch.cuda.current_device()`` 2025-07-17T07:12:05.8784978Z and it is the user's responsibility to ensure that this is set so that each 2025-07-17T07:12:05.8785161Z rank has an individual GPU, via ``torch.cuda.set_device()``. 2025-07-17T07:12:05.8785169Z 2025-07-17T07:12:05.8785421Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.8785425Z 2025-07-17T07:12:05.8803425Z msg = Cannot scrape callname=save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=96. 2025-07-17T07:12:05.8803693Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.8803697Z 2025-07-17T07:12:05.8803826Z Save a distributed model in SPMD style. 2025-07-17T07:12:05.8803839Z 2025-07-17T07:12:05.8804028Z This function is different from ``torch.save()`` as it handles 2025-07-17T07:12:05.8804295Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards. 2025-07-17T07:12:05.8804300Z 2025-07-17T07:12:05.8804552Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2025-07-17T07:12:05.8804705Z save will call ``state_dict`` before serialization. 2025-07-17T07:12:05.8804712Z 2025-07-17T07:12:05.8804820Z .. warning:: 2025-07-17T07:12:05.8805051Z There is no guarantees of Backwards Compatibility across PyTorch versions 2025-07-17T07:12:05.8805150Z for saved state_dicts. 2025-07-17T07:12:05.8805167Z 2025-07-17T07:12:05.8805250Z .. warning:: 2025-07-17T07:12:05.8805456Z If using the `process_group` argument, make sure that only its ranks 2025-07-17T07:12:05.8805669Z call `save_state_dict` and that all data in state_dict belong to it. 2025-07-17T07:12:05.8805673Z 2025-07-17T07:12:05.8805760Z .. note:: 2025-07-17T07:12:05.8806017Z When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of 2025-07-17T07:12:05.8806286Z the shard_group should be calling `save_state_dict` and the corresponding process 2025-07-17T07:12:05.8806393Z group needs to be passed in. 2025-07-17T07:12:05.8806397Z 2025-07-17T07:12:05.8806495Z .. note:: 2025-07-17T07:12:05.8806757Z If no process group is available, this function assumes the intention is to save the 2025-07-17T07:12:05.8806976Z state_dict in the local process. 2025-07-17T07:12:05.8806981Z 2025-07-17T07:12:05.8807077Z .. note: 2025-07-17T07:12:05.8807212Z Rank 0 is assumed to be the coordinator rank. 2025-07-17T07:12:05.8807217Z 2025-07-17T07:12:05.8807220Z 2025-07-17T07:12:05.8807301Z Args: 2025-07-17T07:12:05.8807469Z state_dict (Dict[str, Any]): The state_dict to save. 2025-07-17T07:12:05.8807610Z checkpoint_id (Union[str, os.PathLike, None]): 2025-07-17T07:12:05.8807835Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-07-17T07:12:05.8808034Z depends on the storage. It can be a path to a folder or to a file. 2025-07-17T07:12:05.8808200Z It can also be a key if the storage is a key-value store. 2025-07-17T07:12:05.8808309Z (Default: ``None``) 2025-07-17T07:12:05.8808436Z storage_writer (Optional[StorageWriter]): 2025-07-17T07:12:05.8808709Z Instance of StorageWriter used to perform writes. If this is not 2025-07-17T07:12:05.8808926Z specified, DCP will automatically infer the writer based on the 2025-07-17T07:12:05.8809195Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-07-17T07:12:05.8809382Z be raised. (Default: ``None``) 2025-07-17T07:12:05.8809523Z planner (Optional[SavePlanner]): 2025-07-17T07:12:05.8809736Z Instance of SavePlanner. If this is not specified, the default 2025-07-17T07:12:05.8809874Z planner will be used. (Default: ``None``) 2025-07-17T07:12:05.8810070Z process_group (Optional[ProcessGroup]): 2025-07-17T07:12:05.8810373Z ProcessGroup to be used for cross-rank synchronization. 2025-07-17T07:12:05.8810527Z (Default: ``None``) 2025-07-17T07:12:05.8810659Z no_dist (bool): 2025-07-17T07:12:05.8810915Z If ``True``, this function will assume the intent is to load 2025-07-17T07:12:05.8811202Z a checkpoint without using cross-rank synchronization. 2025-07-17T07:12:05.8811312Z (Default: ``False``) 2025-07-17T07:12:05.8811321Z 2025-07-17T07:12:05.8811417Z Returns: 2025-07-17T07:12:05.8811570Z Metadata: Metadata object for the saved checkpoint. 2025-07-17T07:12:05.8811575Z 2025-07-17T07:12:05.8811655Z Example: 2025-07-17T07:12:05.8811766Z >>> # xdoctest: +SKIP 2025-07-17T07:12:05.8811861Z >>> my_model = MyModule() 2025-07-17T07:12:05.8811866Z 2025-07-17T07:12:05.8811971Z >>> state_dict = {"model": my_model} 2025-07-17T07:12:05.8811976Z 2025-07-17T07:12:05.8812222Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter( 2025-07-17T07:12:05.8812319Z ... "/checkpoint/1" 2025-07-17T07:12:05.8812409Z ... ) 2025-07-17T07:12:05.8812533Z >>> torch.distributed.checkpoint.save( 2025-07-17T07:12:05.8812630Z >>> state_dict=state_dict, 2025-07-17T07:12:05.8812756Z >>> storage_writer=fs_storage_writer, 2025-07-17T07:12:05.8812839Z >>> ) 2025-07-17T07:12:05.8812845Z 2025-07-17T07:12:05.8812929Z .. note:: 2025-07-17T07:12:05.8813153Z save_state_dict uses collectives to coordinate writes across ranks. 2025-07-17T07:12:05.8813361Z For NCCL-based process groups, internal tensor representations of 2025-07-17T07:12:05.8813586Z objects must be moved to the GPU device before communication takes place. 2025-07-17T07:12:05.8813813Z In this case, the device used is given by ``torch.cuda.current_device()`` 2025-07-17T07:12:05.8814014Z and it is the user's responsibility to ensure that this is set so that 2025-07-17T07:12:05.8814227Z each rank has an individual GPU, via ``torch.cuda.set_device()``. 2025-07-17T07:12:05.8814232Z 2025-07-17T07:12:05.8814480Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.8814484Z 2025-07-17T07:12:05.8815144Z msg = Cannot scrape callname=async_save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=221. 2025-07-17T07:12:05.8815406Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.8815737Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the 2025-07-17T07:12:05.8816034Z staging storage (defaults to CPU memory), and then calls the `save` in a separate thread. 2025-07-17T07:12:05.8816039Z 2025-07-17T07:12:05.8816130Z .. warning:: 2025-07-17T07:12:05.8816304Z This feature is experimental and subject to change. 2025-07-17T07:12:05.8816443Z MUST CALL CLOSE AFTER LAST CHECKPOINT IS SAVED 2025-07-17T07:12:05.8816448Z 2025-07-17T07:12:05.8816532Z Args: 2025-07-17T07:12:05.8816695Z state_dict (Dict[str, Any]): The state_dict to save. 2025-07-17T07:12:05.8816837Z checkpoint_id (Union[str, os.PathLike, None]): 2025-07-17T07:12:05.8817043Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-07-17T07:12:05.8817254Z depends on the storage. It can be a path to a folder or to a file. 2025-07-17T07:12:05.8817501Z It can also be a key if the storage is a key-value store. 2025-07-17T07:12:05.8817612Z (Default: ``None``) 2025-07-17T07:12:05.8817740Z storage_writer (Optional[StorageWriter]): 2025-07-17T07:12:05.8817950Z Instance of StorageWriter used to perform 'stage' and 'save'. If 2025-07-17T07:12:05.8818195Z this is not specified, DCP will automatically infer the writer based on the 2025-07-17T07:12:05.8818397Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-07-17T07:12:05.8818560Z be raised. (Default: ``None``) 2025-07-17T07:12:05.8818688Z planner (Optional[SavePlanner]): 2025-07-17T07:12:05.8818885Z Instance of SavePlanner. If this is not specified, the default 2025-07-17T07:12:05.8819021Z planner will be used. (Default: ``None``) 2025-07-17T07:12:05.8819227Z process_group (Optional[ProcessGroup]): 2025-07-17T07:12:05.8819410Z ProcessGroup to be used for cross-rank synchronization. 2025-07-17T07:12:05.8819517Z (Default: ``None``) 2025-07-17T07:12:05.8819672Z async_checkpointer_type (AsyncCheckpointerType): 2025-07-17T07:12:05.8819840Z whether to do checkpoint in separate thread or process 2025-07-17T07:12:05.8819992Z (Default: ``AsyncCheckpointerType.THREAD``) 2025-07-17T07:12:05.8820095Z async_stager (AsyncStager): 2025-07-17T07:12:05.8820350Z provides staging implementation. If storage_writer implements AsyncStager 2025-07-17T07:12:05.8820574Z and async_stager is provided, async_stager will be used for staging 2025-07-17T07:12:05.8820579Z 2025-07-17T07:12:05.8820662Z Returns: 2025-07-17T07:12:05.8820884Z Future: A future holding the resultant Metadata object from `save`. 2025-07-17T07:12:05.8820888Z 2025-07-17T07:12:05.8820975Z Example: 2025-07-17T07:12:05.8821070Z >>> # xdoctest: +SKIP 2025-07-17T07:12:05.8821183Z >>> my_model = MyModule() 2025-07-17T07:12:05.8821190Z 2025-07-17T07:12:05.8821297Z >>> state_dict = {"model": my_model} 2025-07-17T07:12:05.8821302Z 2025-07-17T07:12:05.8821542Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter( 2025-07-17T07:12:05.8821639Z ... "/checkpoint/1" 2025-07-17T07:12:05.8821719Z ... ) 2025-07-17T07:12:05.8821935Z >>> checkpoint_future = torch.distributed.checkpoint.async_save( 2025-07-17T07:12:05.8822035Z >>> state_dict=state_dict, 2025-07-17T07:12:05.8822154Z >>> storage_writer=fs_storage_writer, 2025-07-17T07:12:05.8822245Z >>> ) 2025-07-17T07:12:05.8822324Z >>> 2025-07-17T07:12:05.8822416Z >>> # ... do some work ... 2025-07-17T07:12:05.8822509Z >>> 2025-07-17T07:12:05.8822616Z >>> checkpoint_future.result() 2025-07-17T07:12:05.8822621Z 2025-07-17T07:12:05.8822712Z 2025-07-17T07:12:05.8822962Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.8823008Z 2025-07-17T07:12:05.9155670Z msg = Cannot scrape callname=construct_and_record_rdzv_event in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/events/__init__.py line=94. 2025-07-17T07:12:05.9155940Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:05.9155945Z 2025-07-17T07:12:05.9156144Z Initialize rendezvous event object and record its operations. 2025-07-17T07:12:05.9156149Z 2025-07-17T07:12:05.9156240Z Args: 2025-07-17T07:12:05.9156376Z run_id (str): The run id of the rendezvous. 2025-07-17T07:12:05.9156521Z message (str): The message describing the event. 2025-07-17T07:12:05.9156788Z node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED). 2025-07-17T07:12:05.9156971Z name (str): Event name. (E.g. Current action being performed). 2025-07-17T07:12:05.9157098Z hostname (str): Hostname of the node. 2025-07-17T07:12:05.9157386Z pid (Optional[int]): The process id of the node. 2025-07-17T07:12:05.9157635Z master_endpoint (str): The master endpoint for the rendezvous store, if known. 2025-07-17T07:12:05.9157916Z local_id (Optional[int]): The local_id of the node, if defined in dynamic_rendezvous.py 2025-07-17T07:12:05.9158073Z rank (Optional[int]): The rank of the node, if known. 2025-07-17T07:12:05.9158158Z Returns: 2025-07-17T07:12:05.9158256Z None 2025-07-17T07:12:05.9158340Z Example: 2025-07-17T07:12:05.9158465Z >>> # See DynamicRendezvousHandler class 2025-07-17T07:12:05.9158652Z >>> def _record( 2025-07-17T07:12:05.9158736Z ... self, 2025-07-17T07:12:05.9158841Z ... message: str, 2025-07-17T07:12:05.9158979Z ... node_state: NodeState = NodeState.RUNNING, 2025-07-17T07:12:05.9159085Z ... rank: Optional[int] = None, 2025-07-17T07:12:05.9159188Z ... ) -> None: 2025-07-17T07:12:05.9159303Z ... construct_and_record_rdzv_event( 2025-07-17T07:12:05.9159467Z ... name=f"{self.__class__.__name__}.{get_method_name()}", 2025-07-17T07:12:05.9159603Z ... run_id=self._settings.run_id, 2025-07-17T07:12:05.9159728Z ... message=message, 2025-07-17T07:12:05.9159838Z ... node_state=node_state, 2025-07-17T07:12:05.9159964Z ... hostname=self._this_node.addr, 2025-07-17T07:12:05.9160068Z ... pid=self._this_node.pid, 2025-07-17T07:12:05.9160196Z ... local_id=self._this_node.local_id, 2025-07-17T07:12:05.9160285Z ... rank=rank, 2025-07-17T07:12:05.9160365Z ... ) 2025-07-17T07:12:05.9160374Z 2025-07-17T07:12:05.9160637Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:05.9160651Z 2025-07-17T07:12:06.3003366Z msg = Cannot scrape callname=MixedPrecision in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=114. 2025-07-17T07:12:06.3004409Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.3004833Z 2025-07-17T07:12:06.3005084Z This configures FSDP-native mixed precision training. 2025-07-17T07:12:06.3005372Z 2025-07-17T07:12:06.3005461Z Attributes: 2025-07-17T07:12:06.3005899Z param_dtype (Optional[torch.dtype]): This specifies the dtype for model 2025-07-17T07:12:06.3006448Z parameters during forward and backward and thus the dtype for 2025-07-17T07:12:06.3007062Z forward and backward computation. Outside forward and backward, the 2025-07-17T07:12:06.3007679Z *sharded* parameters are kept in full precision (e.g. for the 2025-07-17T07:12:06.3008255Z optimizer step), and for model checkpointing, the parameters are 2025-07-17T07:12:06.3008744Z always saved in full precision. (Default: ``None``) 2025-07-17T07:12:06.3009307Z reduce_dtype (Optional[torch.dtype]): This specifies the dtype for 2025-07-17T07:12:06.3009927Z gradient reduction (i.e. reduce-scatter or all-reduce). If this is 2025-07-17T07:12:06.3010448Z ``None`` but ``param_dtype`` is not ``None``, then this takes on 2025-07-17T07:12:06.3011166Z the ``param_dtype`` value, still running gradient reduction in low 2025-07-17T07:12:06.3011776Z precision. This is permitted to differ from ``param_dtype``, e.g. 2025-07-17T07:12:06.3012398Z to force gradient reduction to run in full precision. (Default: 2025-07-17T07:12:06.3013010Z ``None``) 2025-07-17T07:12:06.3013382Z buffer_dtype (Optional[torch.dtype]): This specifies the dtype for 2025-07-17T07:12:06.3013997Z buffers. FSDP does not shard buffers. Rather, FSDP casts them to 2025-07-17T07:12:06.3014513Z ``buffer_dtype`` in the first forward pass and keeps them in that 2025-07-17T07:12:06.3015094Z dtype thereafter. For model checkpointing, the buffers are saved 2025-07-17T07:12:06.3015676Z in full precision except for ``LOCAL_STATE_DICT``. (Default: 2025-07-17T07:12:06.3016050Z ``None``) 2025-07-17T07:12:06.3016522Z keep_low_precision_grads (bool): If ``False``, then FSDP upcasts 2025-07-17T07:12:06.3017133Z gradients to full precision after the backward pass in preparation 2025-07-17T07:12:06.3017688Z for the optimizer step. If ``True``, then FSDP keeps the gradients 2025-07-17T07:12:06.3018261Z in the dtype used for gradient reduction, which can save memory if 2025-07-17T07:12:06.3018857Z using a custom optimizer that supports running in low precision. 2025-07-17T07:12:06.3019433Z (Default: ``False``) 2025-07-17T07:12:06.3019938Z cast_forward_inputs (bool): If ``True``, then this FSDP module casts 2025-07-17T07:12:06.3020544Z its forward args and kwargs to ``param_dtype``. This is to ensure 2025-07-17T07:12:06.3021147Z that parameter and input dtypes match for forward computation, as 2025-07-17T07:12:06.3021710Z required by many ops. This may need to be set to ``True`` when only 2025-07-17T07:12:06.3022280Z applying mixed precision to some but not all FSDP modules, in which 2025-07-17T07:12:06.3022908Z case a mixed-precision FSDP submodule needs to recast its inputs. 2025-07-17T07:12:06.3023396Z (Default: ``False``) 2025-07-17T07:12:06.3023786Z cast_root_forward_inputs (bool): If ``True``, then the root FSDP module 2025-07-17T07:12:06.3024395Z casts its forward args and kwargs to ``param_dtype``, overriding 2025-07-17T07:12:06.3024954Z the value of ``cast_forward_inputs``. For non-root FSDP modules, 2025-07-17T07:12:06.3025445Z this does not do anything. (Default: ``True``) 2025-07-17T07:12:06.3025973Z _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies 2025-07-17T07:12:06.3026541Z module classes to ignore for mixed precision when using an 2025-07-17T07:12:06.3027038Z ``auto_wrap_policy``: Modules of these classes will have FSDP 2025-07-17T07:12:06.3027668Z applied to them separately with mixed precision disabled (meaning 2025-07-17T07:12:06.3028263Z that the final FSDP construction would deviate from the specified 2025-07-17T07:12:06.3028777Z policy). If ``auto_wrap_policy`` is not specified, then this does 2025-07-17T07:12:06.3029358Z not do anything. This API is experimental and subject to change. 2025-07-17T07:12:06.3029832Z (Default: ``(_BatchNorm,)``) 2025-07-17T07:12:06.3030048Z 2025-07-17T07:12:06.3030232Z .. note:: This API is experimental and subject to change. 2025-07-17T07:12:06.3030579Z 2025-07-17T07:12:06.3030799Z .. note:: Only floating point tensors are cast to their specified dtypes. 2025-07-17T07:12:06.3031136Z 2025-07-17T07:12:06.3031390Z .. note:: In ``summon_full_params``, parameters are forced to full 2025-07-17T07:12:06.3031788Z precision, but buffers are not. 2025-07-17T07:12:06.3032019Z 2025-07-17T07:12:06.3032275Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when 2025-07-17T07:12:06.3032823Z their inputs are in a low precision like ``float16`` or ``bfloat16``. 2025-07-17T07:12:06.3033438Z Disabling FSDP's mixed precision for those norm modules only means that 2025-07-17T07:12:06.3034159Z the affine parameters are kept in ``float32``. However, this incurs 2025-07-17T07:12:06.3034800Z separate all-gathers and reduce-scatters for those norm modules, which 2025-07-17T07:12:06.3035442Z may be inefficient, so if the workload permits, the user should prefer 2025-07-17T07:12:06.3035911Z to still apply mixed precision to those modules. 2025-07-17T07:12:06.3036256Z 2025-07-17T07:12:06.3036464Z .. note:: By default, if the user passes a model with any ``_BatchNorm`` 2025-07-17T07:12:06.3037063Z modules and specifies an ``auto_wrap_policy``, then the batch norm 2025-07-17T07:12:06.3037650Z modules will have FSDP applied to them separately with mixed precision 2025-07-17T07:12:06.3038178Z disabled. See the ``_module_classes_to_ignore`` argument. 2025-07-17T07:12:06.3038545Z 2025-07-17T07:12:06.3038752Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and 2025-07-17T07:12:06.3039397Z ``cast_forward_inputs=False`` by default. For the root FSDP instance, 2025-07-17T07:12:06.3039905Z its ``cast_root_forward_inputs`` takes precedence over its 2025-07-17T07:12:06.3040430Z ``cast_forward_inputs``. For non-root FSDP instances, their 2025-07-17T07:12:06.3040948Z ``cast_root_forward_inputs`` values are ignored. The default setting is 2025-07-17T07:12:06.3041573Z sufficient for the typical case where each FSDP instance has the same 2025-07-17T07:12:06.3042205Z ``MixedPrecision`` configuration and only needs to cast inputs to the 2025-07-17T07:12:06.3042819Z ``param_dtype`` at the beginning of the model's forward pass. 2025-07-17T07:12:06.3043124Z 2025-07-17T07:12:06.3043329Z .. note:: For nested FSDP instances with different ``MixedPrecision`` 2025-07-17T07:12:06.3043896Z configurations, we recommend setting individual ``cast_forward_inputs`` 2025-07-17T07:12:06.3044447Z values to configure casting inputs or not before each instance's 2025-07-17T07:12:06.3045046Z forward. In such a case, since the casts happen before each FSDP 2025-07-17T07:12:06.3045576Z instance's forward, a parent FSDP instance should have its non-FSDP 2025-07-17T07:12:06.3046126Z submodules run before its FSDP submodules to avoid the activation dtype 2025-07-17T07:12:06.3046690Z being changed due to a different ``MixedPrecision`` configuration. 2025-07-17T07:12:06.3047019Z 2025-07-17T07:12:06.3047108Z Example:: 2025-07-17T07:12:06.3047236Z 2025-07-17T07:12:06.3047381Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:06.3047777Z >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3)) 2025-07-17T07:12:06.3048153Z >>> model[1] = FSDP( 2025-07-17T07:12:06.3048487Z >>> model[1], 2025-07-17T07:12:06.3048945Z >>> mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True), 2025-07-17T07:12:06.3049452Z >>> ) 2025-07-17T07:12:06.3049676Z >>> model = FSDP( 2025-07-17T07:12:06.3049929Z >>> model, 2025-07-17T07:12:06.3050374Z >>> mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True), 2025-07-17T07:12:06.3050883Z >>> ) 2025-07-17T07:12:06.3051006Z 2025-07-17T07:12:06.3051224Z The above shows a working example. On the other hand, if ``model[1]`` 2025-07-17T07:12:06.3051738Z were replaced with ``model[0]``, meaning that the submodule using 2025-07-17T07:12:06.3052274Z different ``MixedPrecision`` ran its forward first, then ``model[1]`` 2025-07-17T07:12:06.3052839Z would incorrectly see ``float16`` activations instead of ``bfloat16`` 2025-07-17T07:12:06.3053255Z ones. 2025-07-17T07:12:06.3053370Z 2025-07-17T07:12:06.3053374Z 2025-07-17T07:12:06.3053622Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.3053998Z 2025-07-17T07:12:06.3054577Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=295. 2025-07-17T07:12:06.3055658Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.3056033Z 2025-07-17T07:12:06.3056250Z ``FullStateDictConfig`` is a config class meant to be used with 2025-07-17T07:12:06.3056753Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-07-17T07:12:06.3057263Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-07-17T07:12:06.3057799Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-07-17T07:12:06.3058326Z is meant to be used via the :func:`state_dict_type` context manager as 2025-07-17T07:12:06.3058728Z follows: 2025-07-17T07:12:06.3058844Z 2025-07-17T07:12:06.3058982Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:06.3059531Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-07-17T07:12:06.3059999Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-07-17T07:12:06.3060492Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-07-17T07:12:06.3061034Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-07-17T07:12:06.3061468Z >>> state = fsdp.state_dict() 2025-07-17T07:12:06.3061888Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-07-17T07:12:06.3062455Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-07-17T07:12:06.3063111Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-07-17T07:12:06.3063573Z >>> if dist.get_rank() == 0: 2025-07-17T07:12:06.3063955Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-07-17T07:12:06.3064399Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-07-17T07:12:06.3064763Z >>> model.load_state_dict(state_dict) 2025-07-17T07:12:06.3065232Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-07-17T07:12:06.3065835Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-07-17T07:12:06.3066277Z >>> fsdp = FSDP( 2025-07-17T07:12:06.3066517Z ... model, 2025-07-17T07:12:06.3066789Z ... device_id=torch.cuda.current_device(), 2025-07-17T07:12:06.3067122Z ... auto_wrap_policy=..., 2025-07-17T07:12:06.3067422Z ... sync_module_states=True, 2025-07-17T07:12:06.3067709Z ... ) 2025-07-17T07:12:06.3068034Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-07-17T07:12:06.3068362Z 2025-07-17T07:12:06.3068446Z Attributes: 2025-07-17T07:12:06.3068799Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-07-17T07:12:06.3069370Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-07-17T07:12:06.3069994Z ranks save the full state dict. (Default: ``False``) 2025-07-17T07:12:06.3070279Z 2025-07-17T07:12:06.3070532Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.3070911Z 2025-07-17T07:12:06.3150091Z msg = Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=637. 2025-07-17T07:12:06.3151296Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.3151913Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2025-07-17T07:12:06.3152294Z 2025-07-17T07:12:06.3152564Z Also takes (optional) configuration for the model's and optimizer's state dict. 2025-07-17T07:12:06.3153154Z The target module does not have to be a FSDP module. If the target 2025-07-17T07:12:06.3153877Z module is a FSDP module, its ``state_dict_type`` will also be changed. 2025-07-17T07:12:06.3154202Z 2025-07-17T07:12:06.3154459Z .. note:: This API should be called for only the top-level (root) 2025-07-17T07:12:06.3155055Z module. 2025-07-17T07:12:06.3155206Z 2025-07-17T07:12:06.3155412Z .. note:: This API enables users to transparently use the conventional 2025-07-17T07:12:06.3155924Z ``state_dict`` API to take model checkpoints in cases where the 2025-07-17T07:12:06.3156430Z root FSDP module is wrapped by another ``nn.Module``. For example, 2025-07-17T07:12:06.3156961Z the following will ensure ``state_dict`` is called on all non-FSDP 2025-07-17T07:12:06.3157546Z instances, while dispatching into `sharded_state_dict` implementation 2025-07-17T07:12:06.3157988Z for FSDP: 2025-07-17T07:12:06.3158136Z 2025-07-17T07:12:06.3158223Z Example:: 2025-07-17T07:12:06.3158371Z 2025-07-17T07:12:06.3158500Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:06.3158851Z >>> model = DDP(FSDP(...)) 2025-07-17T07:12:06.3159174Z >>> FSDP.set_state_dict_type( 2025-07-17T07:12:06.3159535Z >>> model, 2025-07-17T07:12:06.3159833Z >>> StateDictType.SHARDED_STATE_DICT, 2025-07-17T07:12:06.3160290Z >>> state_dict_config = ShardedStateDictConfig(offload_to_cpu=True), 2025-07-17T07:12:06.3160840Z >>> optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True), 2025-07-17T07:12:06.3161276Z >>> ) 2025-07-17T07:12:06.3161543Z >>> param_state_dict = model.state_dict() 2025-07-17T07:12:06.3161941Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2025-07-17T07:12:06.3162327Z 2025-07-17T07:12:06.3162409Z Args: 2025-07-17T07:12:06.3162665Z module (torch.nn.Module): Root module. 2025-07-17T07:12:06.3163134Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2025-07-17T07:12:06.3163714Z state_dict_config (Optional[StateDictConfig]): the configuration for the 2025-07-17T07:12:06.3164192Z target ``state_dict_type``. 2025-07-17T07:12:06.3164671Z optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration 2025-07-17T07:12:06.3165151Z for the optimizer state dict. 2025-07-17T07:12:06.3165387Z 2025-07-17T07:12:06.3165471Z Returns: 2025-07-17T07:12:06.3165830Z A StateDictSettings that include the previous state_dict type and 2025-07-17T07:12:06.3166286Z configuration for the module. 2025-07-17T07:12:06.3166578Z 2025-07-17T07:12:06.3166948Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.3167313Z 2025-07-17T07:12:06.3168129Z msg = Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=795. 2025-07-17T07:12:06.3169302Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.3170098Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2025-07-17T07:12:06.3170483Z 2025-07-17T07:12:06.3170795Z This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of 2025-07-17T07:12:06.3171365Z :meth:`set_state_dict_type` for the detail. 2025-07-17T07:12:06.3171604Z 2025-07-17T07:12:06.3171693Z Example:: 2025-07-17T07:12:06.3171846Z 2025-07-17T07:12:06.3171976Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:06.3172326Z >>> model = DDP(FSDP(...)) 2025-07-17T07:12:06.3172652Z >>> with FSDP.state_dict_type( 2025-07-17T07:12:06.3172949Z >>> model, 2025-07-17T07:12:06.3173246Z >>> StateDictType.SHARDED_STATE_DICT, 2025-07-17T07:12:06.3173566Z >>> ): 2025-07-17T07:12:06.3173814Z >>> checkpoint = model.state_dict() 2025-07-17T07:12:06.3174055Z 2025-07-17T07:12:06.3174136Z Args: 2025-07-17T07:12:06.3174392Z module (torch.nn.Module): Root module. 2025-07-17T07:12:06.3174913Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2025-07-17T07:12:06.3175512Z state_dict_config (Optional[StateDictConfig]): the model ``state_dict`` 2025-07-17T07:12:06.3176029Z configuration for the target ``state_dict_type``. 2025-07-17T07:12:06.3176541Z optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer 2025-07-17T07:12:06.3177106Z ``state_dict`` configuration for the target ``state_dict_type``. 2025-07-17T07:12:06.3177502Z 2025-07-17T07:12:06.3177875Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.3178244Z 2025-07-17T07:12:06.3207738Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1808. 2025-07-17T07:12:06.3209032Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.3209413Z 2025-07-17T07:12:06.3209651Z Transform the state-dict of an optimizer corresponding to a sharded model. 2025-07-17T07:12:06.3210241Z 2025-07-17T07:12:06.3210495Z The given state-dict can be transformed to one of three types: 2025-07-17T07:12:06.3211186Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict. 2025-07-17T07:12:06.3211602Z 2025-07-17T07:12:06.3211922Z For full optimizer state_dict, all states are unflattened and not sharded. 2025-07-17T07:12:06.3212663Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to 2025-07-17T07:12:06.3213094Z avoid OOM. 2025-07-17T07:12:06.3213214Z 2025-07-17T07:12:06.3213534Z For sharded optimizer state_dict, all states are unflattened but sharded. 2025-07-17T07:12:06.3214127Z CPU only can be specified via :meth:`state_dict_type` to further save 2025-07-17T07:12:06.3214553Z memory. 2025-07-17T07:12:06.3214686Z 2025-07-17T07:12:06.3214943Z For local state_dict, no transformation will be performed. But a state 2025-07-17T07:12:06.3215541Z will be converted from nn.Tensor to ShardedTensor to represent its sharding 2025-07-17T07:12:06.3216069Z nature (this is not supported yet). 2025-07-17T07:12:06.3216290Z 2025-07-17T07:12:06.3216384Z Example:: 2025-07-17T07:12:06.3216558Z 2025-07-17T07:12:06.3216706Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:06.3217181Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-07-17T07:12:06.3217755Z >>> from torch.distributed.fsdp import StateDictType 2025-07-17T07:12:06.3218292Z >>> from torch.distributed.fsdp import FullStateDictConfig 2025-07-17T07:12:06.3218787Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2025-07-17T07:12:06.3219353Z >>> # Save a checkpoint 2025-07-17T07:12:06.3219624Z >>> model, optim = ... 2025-07-17T07:12:06.3219960Z >>> FSDP.set_state_dict_type( 2025-07-17T07:12:06.3220248Z >>> model, 2025-07-17T07:12:06.3220565Z >>> StateDictType.FULL_STATE_DICT, 2025-07-17T07:12:06.3220923Z >>> FullStateDictConfig(rank0_only=False), 2025-07-17T07:12:06.3221377Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-07-17T07:12:06.3221715Z >>> ) 2025-07-17T07:12:06.3221934Z >>> state_dict = model.state_dict() 2025-07-17T07:12:06.3222393Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2025-07-17T07:12:06.3222844Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2025-07-17T07:12:06.3223238Z >>> # Load a checkpoint 2025-07-17T07:12:06.3223511Z >>> model, optim = ... 2025-07-17T07:12:06.3223894Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2025-07-17T07:12:06.3224305Z >>> FSDP.set_state_dict_type( 2025-07-17T07:12:06.3224657Z >>> model, 2025-07-17T07:12:06.3224909Z >>> StateDictType.FULL_STATE_DICT, 2025-07-17T07:12:06.3225296Z >>> FullStateDictConfig(rank0_only=False), 2025-07-17T07:12:06.3225697Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-07-17T07:12:06.3226170Z >>> ) 2025-07-17T07:12:06.3226395Z >>> model.load_state_dict(state_dict) 2025-07-17T07:12:06.3226780Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2025-07-17T07:12:06.3227225Z >>> model, optim, optim_state_dict 2025-07-17T07:12:06.3227533Z >>> ) 2025-07-17T07:12:06.3227833Z >>> optim.load_state_dict(optim_state_dict) 2025-07-17T07:12:06.3228076Z 2025-07-17T07:12:06.3228156Z Args: 2025-07-17T07:12:06.3228533Z model (torch.nn.Module): Root module (which may or may not be a 2025-07-17T07:12:06.3229039Z :class:`FullyShardedDataParallel` instance) whose parameters 2025-07-17T07:12:06.3229557Z were passed into the optimizer ``optim``. 2025-07-17T07:12:06.3229995Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2025-07-17T07:12:06.3230426Z parameters. 2025-07-17T07:12:06.3230807Z optim_state_dict (Dict[str, Any]): the target optimizer state_dict to 2025-07-17T07:12:06.3231432Z transform. If the value is None, optim.state_dict() will be used. ( 2025-07-17T07:12:06.3231934Z Default: ``None``) 2025-07-17T07:12:06.3232331Z group (dist.ProcessGroup): Model's process group across which parameters 2025-07-17T07:12:06.3232950Z are sharded or ``None`` if using the default process group. ( 2025-07-17T07:12:06.3233410Z Default: ``None``) 2025-07-17T07:12:06.3233577Z 2025-07-17T07:12:06.3233660Z Returns: 2025-07-17T07:12:06.3234071Z Dict[str, Any]: A :class:`dict` containing the optimizer state for 2025-07-17T07:12:06.3234557Z ``model``. The sharding of the optimizer state is based on 2025-07-17T07:12:06.3235008Z ``state_dict_type``. 2025-07-17T07:12:06.3235171Z 2025-07-17T07:12:06.3235421Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.3235873Z 2025-07-17T07:12:06.3236792Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1906. 2025-07-17T07:12:06.3238152Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.3238527Z 2025-07-17T07:12:06.3238959Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model. 2025-07-17T07:12:06.3239430Z 2025-07-17T07:12:06.3239654Z Given a ``optim_state_dict`` that is transformed through 2025-07-17T07:12:06.3240148Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer 2025-07-17T07:12:06.3240755Z state_dict that can be loaded to ``optim`` which is the optimizer for 2025-07-17T07:12:06.3241336Z ``model``. ``model`` must be sharded by FullyShardedDataParallel. 2025-07-17T07:12:06.3241634Z 2025-07-17T07:12:06.3241759Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:06.3242297Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-07-17T07:12:06.3242875Z >>> from torch.distributed.fsdp import StateDictType 2025-07-17T07:12:06.3243310Z >>> from torch.distributed.fsdp import FullStateDictConfig 2025-07-17T07:12:06.3243872Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2025-07-17T07:12:06.3244308Z >>> # Save a checkpoint 2025-07-17T07:12:06.3244624Z >>> model, optim = ... 2025-07-17T07:12:06.3244904Z >>> FSDP.set_state_dict_type( 2025-07-17T07:12:06.3245254Z >>> model, 2025-07-17T07:12:06.3245512Z >>> StateDictType.FULL_STATE_DICT, 2025-07-17T07:12:06.3245860Z >>> FullStateDictConfig(rank0_only=False), 2025-07-17T07:12:06.3246308Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-07-17T07:12:06.3246655Z >>> ) 2025-07-17T07:12:06.3246933Z >>> state_dict = model.state_dict() 2025-07-17T07:12:06.3247266Z >>> original_osd = optim.state_dict() 2025-07-17T07:12:06.3247687Z >>> optim_state_dict = FSDP.optim_state_dict( 2025-07-17T07:12:06.3248002Z >>> model, 2025-07-17T07:12:06.3248315Z >>> optim, 2025-07-17T07:12:06.3248607Z >>> optim_state_dict=original_osd 2025-07-17T07:12:06.3248902Z >>> ) 2025-07-17T07:12:06.3249240Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2025-07-17T07:12:06.3249602Z >>> # Load a checkpoint 2025-07-17T07:12:06.3249898Z >>> model, optim = ... 2025-07-17T07:12:06.3250257Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2025-07-17T07:12:06.3250636Z >>> FSDP.set_state_dict_type( 2025-07-17T07:12:06.3250995Z >>> model, 2025-07-17T07:12:06.3251253Z >>> StateDictType.FULL_STATE_DICT, 2025-07-17T07:12:06.3251610Z >>> FullStateDictConfig(rank0_only=False), 2025-07-17T07:12:06.3252001Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-07-17T07:12:06.3252396Z >>> ) 2025-07-17T07:12:06.3252636Z >>> model.load_state_dict(state_dict) 2025-07-17T07:12:06.3253015Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2025-07-17T07:12:06.3253419Z >>> model, optim, optim_state_dict 2025-07-17T07:12:06.3253727Z >>> ) 2025-07-17T07:12:06.3253973Z >>> optim.load_state_dict(optim_state_dict) 2025-07-17T07:12:06.3254206Z 2025-07-17T07:12:06.3254303Z Args: 2025-07-17T07:12:06.3254674Z model (torch.nn.Module): Root module (which may or may not be a 2025-07-17T07:12:06.3255190Z :class:`FullyShardedDataParallel` instance) whose parameters 2025-07-17T07:12:06.3255638Z were passed into the optimizer ``optim``. 2025-07-17T07:12:06.3256113Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2025-07-17T07:12:06.3256501Z parameters. 2025-07-17T07:12:06.3256854Z optim_state_dict (Dict[str, Any]): The optimizer states to be loaded. 2025-07-17T07:12:06.3257372Z is_named_optimizer (bool): Is this optimizer a NamedOptimizer or 2025-07-17T07:12:06.3257884Z KeyedOptimizer. Only set to True if ``optim`` is TorchRec's 2025-07-17T07:12:06.3258438Z KeyedOptimizer or torch.distributed's NamedOptimizer. 2025-07-17T07:12:06.3258976Z load_directly (bool): If this is set to True, this API will also 2025-07-17T07:12:06.3259538Z call optim.load_state_dict(result) before returning the result. 2025-07-17T07:12:06.3260078Z Otherwise, users are responsible to call ``optim.load_state_dict()`` 2025-07-17T07:12:06.3260514Z (Default: ``False``) 2025-07-17T07:12:06.3260920Z group (dist.ProcessGroup): Model's process group across which parameters 2025-07-17T07:12:06.3261465Z are sharded or ``None`` if using the default process group. ( 2025-07-17T07:12:06.3261869Z Default: ``None``) 2025-07-17T07:12:06.3262035Z 2025-07-17T07:12:06.3262299Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.3262660Z 2025-07-17T07:12:06.3770951Z msg = Cannot scrape callname=_RemoteModule.__init__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=129. 2025-07-17T07:12:06.3772132Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.3772567Z 2025-07-17T07:12:06.3772834Z RemoteModule instance can only be created after RPC initialization. 2025-07-17T07:12:06.3773198Z 2025-07-17T07:12:06.3773391Z It creates a user-specified module on a specified remote node. 2025-07-17T07:12:06.3773999Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2025-07-17T07:12:06.3774504Z executed on the remote node. 2025-07-17T07:12:06.3774933Z It takes care of autograd recording to ensure the backward pass propagates 2025-07-17T07:12:06.3775501Z gradients back to the corresponding remote module. 2025-07-17T07:12:06.3776176Z It can be shared across processors using `RPC framework `__, 2025-07-17T07:12:06.3776904Z without incurring any overheads of copying the actual module, 2025-07-17T07:12:06.3777421Z which is equivalent to an :class:`~torch.distributed.rpc.RRef` 2025-07-17T07:12:06.3777903Z pointing to the remote module. 2025-07-17T07:12:06.3778320Z 2025-07-17T07:12:06.3778629Z The arguments of ``forward_async`` and ``forward`` are the same as 2025-07-17T07:12:06.3779272Z the ``forward`` method of the module returned by the ``module_cls``. 2025-07-17T07:12:06.3779631Z 2025-07-17T07:12:06.3780005Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now. 2025-07-17T07:12:06.3780486Z 2025-07-17T07:12:06.3780776Z Particularly, to create a hybrid model, typically the local modules should be 2025-07-17T07:12:06.3781583Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``). 2025-07-17T07:12:06.3782185Z Hybrid Example: 2025-07-17T07:12:06.3782501Z >>> class HybridModel(nn.Module): 2025-07-17T07:12:06.3782827Z >>> def __init__(self) -> None: 2025-07-17T07:12:06.3783220Z >>> nn.Module.__init__(self) 2025-07-17T07:12:06.3783583Z >>> self.remote_embedding = RemoteModule(...) 2025-07-17T07:12:06.3784130Z >>> self.local_linear = nn.Linear(...) 2025-07-17T07:12:06.3784362Z 2025-07-17T07:12:06.3784558Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2025-07-17T07:12:06.3785191Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``, 2025-07-17T07:12:06.3785839Z the generated ``RemoteModule`` will have 2 methods in signature of 2025-07-17T07:12:06.3786339Z ``def forward(input: Tensor) -> Tensor:`` and 2025-07-17T07:12:06.3786845Z ``def forward_async(input: Tensor) -> Future[Tensor]:``. 2025-07-17T07:12:06.3787313Z 2025-07-17T07:12:06.3787443Z .. note:: 2025-07-17T07:12:06.3787827Z If the remote module is placed on a cuda device, 2025-07-17T07:12:06.3788305Z any input CPU tensors will be automatically moved to the same cuda device, 2025-07-17T07:12:06.3789212Z and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend. 2025-07-17T07:12:06.3789728Z 2025-07-17T07:12:06.3789822Z Args: 2025-07-17T07:12:06.3790221Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-07-17T07:12:06.3790922Z The device can be a local device or a remote device specified by one of the following remote 2025-07-17T07:12:06.3791420Z formats: 2025-07-17T07:12:06.3791557Z 2025-07-17T07:12:06.3791707Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2025-07-17T07:12:06.3792097Z 2. "/" (ex: "trainer0/cuda:0"). 2025-07-17T07:12:06.3792372Z 2025-07-17T07:12:06.3792614Z In addition, the device field can be optional and the default value is "cpu". 2025-07-17T07:12:06.3793096Z module_cls (nn.Module): For example, 2025-07-17T07:12:06.3793413Z >>> class MyModule(nn.Module): 2025-07-17T07:12:06.3793728Z >>> def forward(input): 2025-07-17T07:12:06.3794024Z >>> return input + 1 2025-07-17T07:12:06.3794308Z >>> 2025-07-17T07:12:06.3794518Z >>> module_cls = MyModule 2025-07-17T07:12:06.3794908Z args (Sequence, optional): args to be passed to ``module_cls``. 2025-07-17T07:12:06.3795418Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2025-07-17T07:12:06.3795994Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2025-07-17T07:12:06.3796630Z to be created. The type object should be decorated by @torch.jit.interface. 2025-07-17T07:12:06.3797331Z If not provided, the generated RemoteModule is not torchscript-able. 2025-07-17T07:12:06.3797906Z Warning, this is an experimental API and susceptible to frequent changes. 2025-07-17T07:12:06.3798257Z 2025-07-17T07:12:06.3798340Z Returns: 2025-07-17T07:12:06.3798702Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-07-17T07:12:06.3799292Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2025-07-17T07:12:06.3799899Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-07-17T07:12:06.3800509Z on the user-provided module on the remote side. 2025-07-17T07:12:06.3800759Z 2025-07-17T07:12:06.3800866Z Example:: 2025-07-17T07:12:06.3801159Z Run the following code in two different processes: 2025-07-17T07:12:06.3801417Z 2025-07-17T07:12:06.3801529Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:06.3801842Z >>> # On worker 0: 2025-07-17T07:12:06.3802087Z >>> import torch 2025-07-17T07:12:06.3802357Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:06.3802707Z >>> from torch import nn, Tensor 2025-07-17T07:12:06.3803132Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-07-17T07:12:06.3803539Z >>> 2025-07-17T07:12:06.3803792Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-07-17T07:12:06.3804160Z >>> remote_linear_module = RemoteModule( 2025-07-17T07:12:06.3804500Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-07-17T07:12:06.3804882Z >>> ) 2025-07-17T07:12:06.3805107Z >>> input = torch.randn(128, 20) 2025-07-17T07:12:06.3805470Z >>> ret_fut = remote_linear_module.forward_async(input) 2025-07-17T07:12:06.3805824Z >>> ret = ret_fut.wait() 2025-07-17T07:12:06.3806099Z >>> rpc.shutdown() 2025-07-17T07:12:06.3806251Z 2025-07-17T07:12:06.3806355Z >>> # On worker 1: 2025-07-17T07:12:06.3806586Z >>> import torch 2025-07-17T07:12:06.3806857Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:06.3807176Z >>> 2025-07-17T07:12:06.3807486Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-07-17T07:12:06.3807830Z >>> rpc.shutdown() 2025-07-17T07:12:06.3807978Z 2025-07-17T07:12:06.3808238Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.3808602Z 2025-07-17T07:12:06.3809358Z msg = Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=506. 2025-07-17T07:12:06.3810433Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.3810803Z 2025-07-17T07:12:06.3811132Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef. 2025-07-17T07:12:06.3811567Z 2025-07-17T07:12:06.3811882Z This alternate initialization method can be particularly useful if we want to create multiple 2025-07-17T07:12:06.3812638Z RemoteModule instances that share the same underlying module and reduce memory consumption. 2025-07-17T07:12:06.3813090Z 2025-07-17T07:12:06.3813363Z Moreover, this also provides a workaround for passing script RemoteModule over RPC, 2025-07-17T07:12:06.3813938Z which is not supported. The recommended way is as follows: 2025-07-17T07:12:06.3814223Z 2025-07-17T07:12:06.3814336Z 1. the sender creates a RemoteModule; 2025-07-17T07:12:06.3814786Z 2. the sender sends its ``module_rref`` over RPC; 2025-07-17T07:12:06.3815378Z 3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``. 2025-07-17T07:12:06.3815829Z 2025-07-17T07:12:06.3815929Z Example:: 2025-07-17T07:12:06.3816197Z Run the following code in two different processes: 2025-07-17T07:12:06.3816467Z 2025-07-17T07:12:06.3816578Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:06.3816887Z >>> # On worker 0: 2025-07-17T07:12:06.3817120Z >>> import torch 2025-07-17T07:12:06.3817399Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:06.3817739Z >>> from torch import nn, Tensor 2025-07-17T07:12:06.3818150Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-07-17T07:12:06.3818566Z >>> 2025-07-17T07:12:06.3818818Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-07-17T07:12:06.3819247Z >>> remote_module = RemoteModule( 2025-07-17T07:12:06.3819576Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-07-17T07:12:06.3819899Z >>> ) 2025-07-17T07:12:06.3820103Z >>> 2025-07-17T07:12:06.3820364Z >>> remote_module1 = rpc.rpc_sync( 2025-07-17T07:12:06.3820680Z >>> "worker1/cpu", 2025-07-17T07:12:06.3820980Z >>> RemoteModule.init_from_module_rref, 2025-07-17T07:12:06.3821362Z >>> ("worker1/cpu", remote_module1.get_module_rref()), 2025-07-17T07:12:06.3821788Z >>> ) 2025-07-17T07:12:06.3822009Z >>> rpc.shutdown() 2025-07-17T07:12:06.3822164Z 2025-07-17T07:12:06.3822251Z >>> # On worker 1: 2025-07-17T07:12:06.3822499Z >>> import torch 2025-07-17T07:12:06.3822779Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:06.3823083Z >>> 2025-07-17T07:12:06.3823337Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-07-17T07:12:06.3823680Z >>> rpc.shutdown() 2025-07-17T07:12:06.3823832Z 2025-07-17T07:12:06.3823920Z Args: 2025-07-17T07:12:06.3824321Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-07-17T07:12:06.3825055Z The device can be a local device or a remote device specified by one of the following remote 2025-07-17T07:12:06.3825556Z formats: 2025-07-17T07:12:06.3825690Z 2025-07-17T07:12:06.3825826Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2025-07-17T07:12:06.3826228Z 2. "/" (ex: "trainer0/cuda:0"). 2025-07-17T07:12:06.3826499Z 2025-07-17T07:12:06.3826739Z In addition, the device field can be optional and the default value is "cpu". 2025-07-17T07:12:06.3827410Z module_rref (RRef[nn.Module]): The module reference shared by both the caller and 2025-07-17T07:12:06.3827875Z the created remote module. 2025-07-17T07:12:06.3828357Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2025-07-17T07:12:06.3828986Z to be created. The type object should be decorated by @torch.jit.interface. 2025-07-17T07:12:06.3829545Z If not provided, the generated RemoteModule is not torchscript-able. 2025-07-17T07:12:06.3830115Z Warning, this is an experimental API and susceptible to frequent changes. 2025-07-17T07:12:06.3830540Z 2025-07-17T07:12:06.3830622Z Returns: 2025-07-17T07:12:06.3830985Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-07-17T07:12:06.3831561Z user-provided ``module_rref``, it has a blocking ``forward`` method and an 2025-07-17T07:12:06.3832182Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-07-17T07:12:06.3832721Z on the user-provided module on the remote side. 2025-07-17T07:12:06.3832973Z 2025-07-17T07:12:06.3833231Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.3833597Z 2025-07-17T07:12:06.3834205Z msg = Cannot scrape callname=RemoteModule in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=598. 2025-07-17T07:12:06.3835185Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.3835565Z 2025-07-17T07:12:06.3835808Z A RemoteModule instance can only be created after RPC initialization. 2025-07-17T07:12:06.3836149Z 2025-07-17T07:12:06.3836357Z It creates a user-specified module on a specified remote node. 2025-07-17T07:12:06.3836888Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2025-07-17T07:12:06.3837348Z executed on the remote node. 2025-07-17T07:12:06.3837788Z It takes care of autograd recording to ensure the backward pass propagates 2025-07-17T07:12:06.3838290Z gradients back to the corresponding remote module. 2025-07-17T07:12:06.3838566Z 2025-07-17T07:12:06.3838782Z It generates two methods ``forward_async`` and ``forward`` based on the 2025-07-17T07:12:06.3839330Z signature of the ``forward`` method of ``module_cls``. ``forward_async`` 2025-07-17T07:12:06.3839909Z runs asynchronously and returns a Future. The arguments of ``forward_async`` 2025-07-17T07:12:06.3840461Z and ``forward`` are the same as the ``forward`` method of the module 2025-07-17T07:12:06.3840921Z returned by the ``module_cls``. 2025-07-17T07:12:06.3841121Z 2025-07-17T07:12:06.3841329Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2025-07-17T07:12:06.3841885Z that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``, 2025-07-17T07:12:06.3842482Z the generated ``RemoteModule`` will have 2 methods with the signatures: 2025-07-17T07:12:06.3842837Z 2025-07-17T07:12:06.3842960Z | ``def forward(input: Tensor) -> Tensor:`` 2025-07-17T07:12:06.3843369Z | ``def forward_async(input: Tensor) -> Future[Tensor]:`` 2025-07-17T07:12:06.3843641Z 2025-07-17T07:12:06.3843722Z Args: 2025-07-17T07:12:06.3844134Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-07-17T07:12:06.3844890Z The format should be "/", where the device field can be parsed as torch.device type. 2025-07-17T07:12:06.3845519Z E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0". 2025-07-17T07:12:06.3846000Z In addition, the device field can be optional and the default value is "cpu". 2025-07-17T07:12:06.3846616Z module_cls (nn.Module): Class for the module to be created remotely. For example, 2025-07-17T07:12:06.3846981Z 2025-07-17T07:12:06.3847106Z >>> class MyModule(nn.Module): 2025-07-17T07:12:06.3847482Z >>> def forward(input): 2025-07-17T07:12:06.3847788Z >>> return input + 1 2025-07-17T07:12:06.3848073Z >>> 2025-07-17T07:12:06.3848345Z >>> module_cls = MyModule 2025-07-17T07:12:06.3848547Z 2025-07-17T07:12:06.3848744Z args (Sequence, optional): args to be passed to ``module_cls``. 2025-07-17T07:12:06.3849255Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2025-07-17T07:12:06.3849559Z 2025-07-17T07:12:06.3849655Z Returns: 2025-07-17T07:12:06.3850005Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-07-17T07:12:06.3850600Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2025-07-17T07:12:06.3851223Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-07-17T07:12:06.3851760Z on the user-provided module on the remote side. 2025-07-17T07:12:06.3852008Z 2025-07-17T07:12:06.3852097Z Example:: 2025-07-17T07:12:06.3852369Z Run the following code in two different processes: 2025-07-17T07:12:06.3852626Z 2025-07-17T07:12:06.3852746Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:06.3853047Z >>> # On worker 0: 2025-07-17T07:12:06.3853294Z >>> import torch 2025-07-17T07:12:06.3853567Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:06.3853889Z >>> from torch import nn, Tensor 2025-07-17T07:12:06.3854309Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-07-17T07:12:06.3854724Z >>> 2025-07-17T07:12:06.3854975Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-07-17T07:12:06.3855333Z >>> remote_linear_module = RemoteModule( 2025-07-17T07:12:06.3855685Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-07-17T07:12:06.3856008Z >>> ) 2025-07-17T07:12:06.3856218Z >>> input = torch.randn(128, 20) 2025-07-17T07:12:06.3856581Z >>> ret_fut = remote_linear_module.forward_async(input) 2025-07-17T07:12:06.3856950Z >>> ret = ret_fut.wait() 2025-07-17T07:12:06.3857215Z >>> rpc.shutdown() 2025-07-17T07:12:06.3857381Z 2025-07-17T07:12:06.3857466Z >>> # On worker 1: 2025-07-17T07:12:06.3857714Z >>> import torch 2025-07-17T07:12:06.3857976Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:06.3858067Z >>> 2025-07-17T07:12:06.3858202Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-07-17T07:12:06.3858305Z >>> rpc.shutdown() 2025-07-17T07:12:06.3858309Z 2025-07-17T07:12:06.3858498Z Furthermore, a more practical example that is combined with 2025-07-17T07:12:06.3858977Z `DistributedDataParallel `__ (DDP) 2025-07-17T07:12:06.3859438Z can be found in this `tutorial `__. 2025-07-17T07:12:06.3859448Z 2025-07-17T07:12:06.3859699Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.3859704Z 2025-07-17T07:12:06.4026629Z msg = Cannot scrape callname=DistributedOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/optimizer.py line=129. 2025-07-17T07:12:06.4026938Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.4026944Z 2025-07-17T07:12:06.4027263Z DistributedOptimizer takes remote references to parameters scattered 2025-07-17T07:12:06.4027497Z across workers and applies the given optimizer locally for each parameter. 2025-07-17T07:12:06.4027503Z 2025-07-17T07:12:06.4027733Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order 2025-07-17T07:12:06.4028063Z to retrieve the gradients for specific parameters. 2025-07-17T07:12:06.4028068Z 2025-07-17T07:12:06.4028162Z Concurrent calls to 2025-07-17T07:12:06.4028380Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`, 2025-07-17T07:12:06.4028525Z either from the same or different clients, will 2025-07-17T07:12:06.4028814Z be serialized on each worker -- as each worker's optimizer can only work 2025-07-17T07:12:06.4029035Z on one set of gradients at a time. However, there is no guarantee that 2025-07-17T07:12:06.4029396Z the full forward-backward-optimizer sequence will execute for one client 2025-07-17T07:12:06.4029643Z at a time. This means that the gradients being applied may not correspond 2025-07-17T07:12:06.4029877Z to the latest forward pass executed on a given worker. Also, there is no 2025-07-17T07:12:06.4029990Z guaranteed ordering across workers. 2025-07-17T07:12:06.4029995Z 2025-07-17T07:12:06.4030341Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled 2025-07-17T07:12:06.4030572Z by default, so that optimizer updates are not blocked by the Python Global 2025-07-17T07:12:06.4030815Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed 2025-07-17T07:12:06.4031130Z Model Parallel). This feature is currently enabled for most optimizers. You 2025-07-17T07:12:06.4031457Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support 2025-07-17T07:12:06.4031564Z for your own custom optimizers. 2025-07-17T07:12:06.4031569Z 2025-07-17T07:12:06.4031670Z Args: 2025-07-17T07:12:06.4031926Z optimizer_class (optim.Optimizer): the class of optimizer to 2025-07-17T07:12:06.4032046Z instantiate on each worker. 2025-07-17T07:12:06.4032253Z params_rref (list[RRef]): list of RRefs to local or remote parameters 2025-07-17T07:12:06.4032342Z to optimize. 2025-07-17T07:12:06.4032627Z args: arguments to pass to the optimizer constructor on each worker. 2025-07-17T07:12:06.4032849Z kwargs: arguments to pass to the optimizer constructor on each worker. 2025-07-17T07:12:06.4032855Z 2025-07-17T07:12:06.4032953Z Example:: 2025-07-17T07:12:06.4033073Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:06.4033237Z >>> import torch.distributed.autograd as dist_autograd 2025-07-17T07:12:06.4033428Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:06.4033530Z >>> from torch import optim 2025-07-17T07:12:06.4033713Z >>> from torch.distributed.optim import DistributedOptimizer 2025-07-17T07:12:06.4033806Z >>> 2025-07-17T07:12:06.4033938Z >>> with dist_autograd.context() as context_id: 2025-07-17T07:12:06.4034046Z >>> # Forward pass. 2025-07-17T07:12:06.4034302Z >>> rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3)) 2025-07-17T07:12:06.4034493Z >>> rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1)) 2025-07-17T07:12:06.4034613Z >>> loss = rref1.to_here() + rref2.to_here() 2025-07-17T07:12:06.4034706Z >>> 2025-07-17T07:12:06.4034943Z >>> # Backward pass. 2025-07-17T07:12:06.4035110Z >>> dist_autograd.backward(context_id, [loss.sum()]) 2025-07-17T07:12:06.4035189Z >>> 2025-07-17T07:12:06.4035278Z >>> # Optimizer. 2025-07-17T07:12:06.4035412Z >>> dist_optim = DistributedOptimizer( 2025-07-17T07:12:06.4035500Z >>> optim.SGD, 2025-07-17T07:12:06.4035602Z >>> [rref1, rref2], 2025-07-17T07:12:06.4035749Z >>> lr=0.05, 2025-07-17T07:12:06.4035835Z >>> ) 2025-07-17T07:12:06.4035951Z >>> dist_optim.step(context_id) 2025-07-17T07:12:06.4035956Z 2025-07-17T07:12:06.4036121Z __ https://github.com/pytorch/tutorials/pull/1465 2025-07-17T07:12:06.4036126Z 2025-07-17T07:12:06.4036386Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.4036393Z 2025-07-17T07:12:06.4044004Z msg = Cannot scrape callname=PostLocalSGDOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9. 2025-07-17T07:12:06.4044442Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.4044450Z 2025-07-17T07:12:06.4044853Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD `_, 2025-07-17T07:12:06.4045061Z This optimizer runs local optimizer at every step. 2025-07-17T07:12:06.4045396Z After the warm-up stage, it averages parameters periodically after the local optimizer is applied. 2025-07-17T07:12:06.4045401Z 2025-07-17T07:12:06.4045574Z Args: 2025-07-17T07:12:06.4045678Z optim: The local optimizer. 2025-07-17T07:12:06.4045973Z averager: A model averager instance to run post-localSGD algorithm. 2025-07-17T07:12:06.4045978Z 2025-07-17T07:12:06.4046072Z Example:: 2025-07-17T07:12:06.4046077Z 2025-07-17T07:12:06.4046199Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:06.4046299Z >>> import torch 2025-07-17T07:12:06.4046414Z >>> import torch.distributed as dist 2025-07-17T07:12:06.4046748Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2025-07-17T07:12:06.4046861Z >>> import torch.nn as nn 2025-07-17T07:12:06.4047051Z >>> from torch.distributed.optim import PostLocalSGDOptimizer 2025-07-17T07:12:06.4047377Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2025-07-17T07:12:06.4047491Z >>> PostLocalSGDState, 2025-07-17T07:12:06.4047586Z >>> post_localSGD_hook, 2025-07-17T07:12:06.4047676Z >>> ) 2025-07-17T07:12:06.4047759Z >>> 2025-07-17T07:12:06.4047911Z >>> model = nn.parallel.DistributedDataParallel( 2025-07-17T07:12:06.4048076Z >>> module, device_ids=[rank], output_device=rank 2025-07-17T07:12:06.4048205Z >>> ) 2025-07-17T07:12:06.4048285Z >>> 2025-07-17T07:12:06.4048444Z >>> # Register a post-localSGD communication hook. 2025-07-17T07:12:06.4048742Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2025-07-17T07:12:06.4048975Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-07-17T07:12:06.4049056Z >>> 2025-07-17T07:12:06.4049260Z >>> # Create a post-localSGD optimizer that wraps a local optimizer. 2025-07-17T07:12:06.4049518Z >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as 2025-07-17T07:12:06.4049729Z >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-07-17T07:12:06.4049947Z >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01) 2025-07-17T07:12:06.4050073Z >>> opt = PostLocalSGDOptimizer( 2025-07-17T07:12:06.4050169Z >>> optim=local_optim, 2025-07-17T07:12:06.4050430Z >>> averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2025-07-17T07:12:06.4050565Z >>> ) 2025-07-17T07:12:06.4050643Z >>> 2025-07-17T07:12:06.4050874Z >>> # In the first 100 steps, DDP runs global gradient averaging at every step. 2025-07-17T07:12:06.4051178Z >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default), 2025-07-17T07:12:06.4051748Z >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer. 2025-07-17T07:12:06.4051863Z >>> for step in range(0, 200): 2025-07-17T07:12:06.4051957Z >>> opt.zero_grad() 2025-07-17T07:12:06.4052127Z >>> loss = loss_fn(output, labels) 2025-07-17T07:12:06.4052239Z >>> loss.backward() 2025-07-17T07:12:06.4052352Z >>> opt.step() 2025-07-17T07:12:06.4052358Z 2025-07-17T07:12:06.4052692Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.4052696Z 2025-07-17T07:12:06.4166084Z msg = Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284. 2025-07-17T07:12:06.4166392Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.4166551Z 2025-07-17T07:12:06.4166955Z Wrap an arbitrary :class:`optim.Optimizer ` and shards its states across ranks in the group. 2025-07-17T07:12:06.4166960Z 2025-07-17T07:12:06.4167232Z The sharing is done as described by `ZeRO `_. 2025-07-17T07:12:06.4167237Z 2025-07-17T07:12:06.4167380Z The local optimizer instance in each rank is only 2025-07-17T07:12:06.4167622Z responsible for updating approximately ``1 / world_size`` parameters and 2025-07-17T07:12:06.4167922Z hence only needs to keep ``1 / world_size`` optimizer states. After 2025-07-17T07:12:06.4168168Z parameters are updated locally, each rank will broadcast its parameters to 2025-07-17T07:12:06.4168352Z all other peers to keep all model replicas in the same state. 2025-07-17T07:12:06.4168647Z ``ZeroRedundancyOptimizer`` can be used in conjunction with 2025-07-17T07:12:06.4168907Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak 2025-07-17T07:12:06.4169020Z memory consumption. 2025-07-17T07:12:06.4169027Z 2025-07-17T07:12:06.4169300Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number 2025-07-17T07:12:06.4169765Z of parameters at each rank. Each parameter belongs to a single rank and is 2025-07-17T07:12:06.4170020Z not divided among ranks. The partition is arbitrary and might not match the 2025-07-17T07:12:06.4170150Z the parameter registration or usage order. 2025-07-17T07:12:06.4170155Z 2025-07-17T07:12:06.4170256Z Arguments: 2025-07-17T07:12:06.4170450Z params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s 2025-07-17T07:12:06.4170635Z or :class:`dict` s giving all parameters, which will be sharded 2025-07-17T07:12:06.4170741Z across ranks. 2025-07-17T07:12:06.4170746Z 2025-07-17T07:12:06.4170835Z Keyword Args: 2025-07-17T07:12:06.4171055Z optimizer_class (:class:`torch.nn.Optimizer`): the class of the local 2025-07-17T07:12:06.4171159Z optimizer. 2025-07-17T07:12:06.4171366Z process_group (``ProcessGroup``, optional): ``torch.distributed`` 2025-07-17T07:12:06.4171564Z ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by 2025-07-17T07:12:06.4171723Z :meth:`torch.distributed.init_process_group`). 2025-07-17T07:12:06.4171947Z parameters_as_bucket_view (bool, optional): if ``True``, parameters are 2025-07-17T07:12:06.4172168Z packed into buckets to speed up communication, and ``param.data`` 2025-07-17T07:12:06.4172364Z fields point to bucket views at different offsets; if ``False``, 2025-07-17T07:12:06.4172568Z each individual parameter is communicated separately, and each 2025-07-17T07:12:06.4172729Z ``params.data`` stays intact (default: ``False``). 2025-07-17T07:12:06.4172917Z overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is 2025-07-17T07:12:06.4173113Z overlapped with :class:`DistributedDataParallel` 's gradient 2025-07-17T07:12:06.4173341Z synchronization; this requires (1) either a functional optimizer 2025-07-17T07:12:06.4173583Z for the ``optimizer_class`` argument or one with a functional 2025-07-17T07:12:06.4173767Z equivalent and (2) registering a DDP communication hook 2025-07-17T07:12:06.4173966Z constructed from one of the functions in ``ddp_zero_hook.py``; 2025-07-17T07:12:06.4174129Z parameters are packed into buckets matching those in 2025-07-17T07:12:06.4174293Z :class:`DistributedDataParallel`, meaning that the 2025-07-17T07:12:06.4174441Z ``parameters_as_bucket_view`` argument is ignored. 2025-07-17T07:12:06.4174622Z If ``False``, :meth:`step` runs disjointly after the backward pass 2025-07-17T07:12:06.4174722Z (per normal). 2025-07-17T07:12:06.4174823Z (default: ``False``) 2025-07-17T07:12:06.4175042Z **defaults: any trailing arguments, which are forwarded to the local 2025-07-17T07:12:06.4175127Z optimizer. 2025-07-17T07:12:06.4175168Z 2025-07-17T07:12:06.4175271Z Example:: 2025-07-17T07:12:06.4175277Z 2025-07-17T07:12:06.4175383Z >>> # xdoctest: +SKIP 2025-07-17T07:12:06.4175481Z >>> import torch.nn as nn 2025-07-17T07:12:06.4175678Z >>> from torch.distributed.optim import ZeroRedundancyOptimizer 2025-07-17T07:12:06.4175884Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2025-07-17T07:12:06.4176105Z >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)]) 2025-07-17T07:12:06.4176228Z >>> ddp = DDP(model, device_ids=[rank]) 2025-07-17T07:12:06.4176413Z >>> opt = ZeroRedundancyOptimizer( 2025-07-17T07:12:06.4176513Z >>> ddp.parameters(), 2025-07-17T07:12:06.4176645Z >>> optimizer_class=torch.optim.Adam, 2025-07-17T07:12:06.4176727Z >>> lr=0.01 2025-07-17T07:12:06.4176805Z >>> ) 2025-07-17T07:12:06.4176917Z >>> ddp(inputs).sum().backward() 2025-07-17T07:12:06.4177002Z >>> opt.step() 2025-07-17T07:12:06.4177006Z 2025-07-17T07:12:06.4177092Z .. warning:: 2025-07-17T07:12:06.4177306Z Currently, ``ZeroRedundancyOptimizer`` requires that all of the 2025-07-17T07:12:06.4177447Z passed-in parameters are the same dense type. 2025-07-17T07:12:06.4177452Z 2025-07-17T07:12:06.4177550Z .. warning:: 2025-07-17T07:12:06.4177757Z If you pass ``overlap_with_ddp=True``, be wary of the following: Given 2025-07-17T07:12:06.4177955Z the way that overlapping :class:`DistributedDataParallel` with 2025-07-17T07:12:06.4178197Z :class:`ZeroRedundancyOptimizer` is currently implemented, the first 2025-07-17T07:12:06.4178413Z two or three training iterations do not perform parameter updates in 2025-07-17T07:12:06.4178602Z the optimizer step, depending on if ``static_graph=False`` or 2025-07-17T07:12:06.4178793Z ``static_graph=True``, respectively. This is because it needs 2025-07-17T07:12:06.4178977Z information about the gradient bucketing strategy used by 2025-07-17T07:12:06.4179294Z :class:`DistributedDataParallel`, which is not finalized until the 2025-07-17T07:12:06.4179491Z second forward pass if ``static_graph=False`` or until the third 2025-07-17T07:12:06.4179698Z forward pass if ``static_graph=True``. To adjust for this, one option 2025-07-17T07:12:06.4179815Z is to prepend dummy inputs. 2025-07-17T07:12:06.4179819Z 2025-07-17T07:12:06.4180069Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change. 2025-07-17T07:12:06.4180074Z 2025-07-17T07:12:06.4180336Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.4180341Z 2025-07-17T07:12:06.4479074Z msg = Cannot scrape callname=_CustomReducer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py line=29. 2025-07-17T07:12:06.4479338Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.4479345Z 2025-07-17T07:12:06.4479584Z Custom reducer class that can be used to specify a custom operation that 2025-07-17T07:12:06.4479757Z reduces losses of multiple microbatches into one value. 2025-07-17T07:12:06.4479898Z 2025-07-17T07:12:06.4479996Z Example: 2025-07-17T07:12:06.4480090Z >>> # xdoctest: +SKIP 2025-07-17T07:12:06.4480197Z >>> sum_reducer = _CustomReducer( 2025-07-17T07:12:06.4480306Z >>> torch.tensor(0.0), 2025-07-17T07:12:06.4480399Z >>> lambda a, b: a + b 2025-07-17T07:12:06.4480478Z >>> ) 2025-07-17T07:12:06.4480482Z 2025-07-17T07:12:06.4480745Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.4480749Z 2025-07-17T07:12:06.5006758Z msg = Cannot scrape callname=async_execution in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/functions.py line=6. 2025-07-17T07:12:06.5007072Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.5007079Z 2025-07-17T07:12:06.5007338Z A decorator for a function indicating that the return value of the function 2025-07-17T07:12:06.5007781Z is guaranteed to be a :class:`~torch.futures.Future` object and this 2025-07-17T07:12:06.5008048Z function can run asynchronously on the RPC callee. More specifically, the 2025-07-17T07:12:06.5025248Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped 2025-07-17T07:12:06.5025755Z function and installs subsequent processing steps as a callback to that 2025-07-17T07:12:06.5026171Z :class:`~torch.futures.Future`. The installed callback will read the value 2025-07-17T07:12:06.5026376Z from the :class:`~torch.futures.Future` when completed and send the 2025-07-17T07:12:06.5026692Z value back as the RPC response. That also means the returned 2025-07-17T07:12:06.5026937Z :class:`~torch.futures.Future` only exists on the callee side and is never 2025-07-17T07:12:06.5027160Z sent through RPC. This decorator is useful when the wrapped function's 2025-07-17T07:12:06.5027371Z (``fn``) execution needs to pause and resume due to, e.g., containing 2025-07-17T07:12:06.5027595Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals. 2025-07-17T07:12:06.5027608Z 2025-07-17T07:12:06.5027836Z .. note:: To enable asynchronous execution, applications must pass the 2025-07-17T07:12:06.5028079Z function object returned by this decorator to RPC APIs. If RPC detected 2025-07-17T07:12:06.5028292Z attributes installed by this decorator, it knows that this function 2025-07-17T07:12:06.5028487Z returns a ``Future`` object and will handle that accordingly. 2025-07-17T07:12:06.5028702Z However, this does not mean this decorator has to be outmost one when 2025-07-17T07:12:06.5028928Z defining a function. For example, when combined with ``@staticmethod`` 2025-07-17T07:12:06.5029149Z or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the 2025-07-17T07:12:06.5029367Z inner decorator to allow the target function be recognized as a static 2025-07-17T07:12:06.5029593Z or class function. This target function can still execute asynchronously 2025-07-17T07:12:06.5029833Z because, when accessed, the static or class method preserves attributes 2025-07-17T07:12:06.5029988Z installed by ``@rpc.functions.async_execution``. 2025-07-17T07:12:06.5029993Z 2025-07-17T07:12:06.5029997Z 2025-07-17T07:12:06.5030101Z Example:: 2025-07-17T07:12:06.5030298Z The returned :class:`~torch.futures.Future` object can come from 2025-07-17T07:12:06.5030431Z :meth:`~torch.distributed.rpc.rpc_async`, 2025-07-17T07:12:06.5030665Z :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future` 2025-07-17T07:12:06.5030842Z constructor. The example below shows directly using the 2025-07-17T07:12:06.5030971Z :class:`~torch.futures.Future` returned by 2025-07-17T07:12:06.5031101Z :meth:`~torch.futures.Future.then`. 2025-07-17T07:12:06.5031106Z 2025-07-17T07:12:06.5031222Z >>> from torch.distributed import rpc 2025-07-17T07:12:06.5031320Z >>> 2025-07-17T07:12:06.5031435Z >>> # omitting setup and shutdown RPC 2025-07-17T07:12:06.5031516Z >>> 2025-07-17T07:12:06.5031625Z >>> # On all workers 2025-07-17T07:12:06.5031792Z >>> @rpc.functions.async_execution 2025-07-17T07:12:06.5031952Z >>> def async_add_chained(to, x, y, z): 2025-07-17T07:12:06.5032141Z >>> # This function runs on "worker1" and returns immediately when 2025-07-17T07:12:06.5032326Z >>> # the callback is installed through the `then(cb)` API. In the 2025-07-17T07:12:06.5032521Z >>> # mean time, the `rpc_async` to "worker2" can run concurrently. 2025-07-17T07:12:06.5032677Z >>> # When the return value of that `rpc_async` arrives at 2025-07-17T07:12:06.5032882Z >>> # "worker1", "worker1" will run the lambda function accordingly 2025-07-17T07:12:06.5033064Z >>> # and set the value for the previously returned `Future`, which 2025-07-17T07:12:06.5033240Z >>> # will then trigger RPC to send the result back to "worker0". 2025-07-17T07:12:06.5033419Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-07-17T07:12:06.5033567Z >>> lambda fut: fut.wait() + z 2025-07-17T07:12:06.5033649Z >>> ) 2025-07-17T07:12:06.5033742Z >>> 2025-07-17T07:12:06.5033827Z >>> # On worker0 2025-07-17T07:12:06.5033921Z >>> # xdoctest: +SKIP 2025-07-17T07:12:06.5034026Z >>> ret = rpc.rpc_sync( 2025-07-17T07:12:06.5034110Z >>> "worker1", 2025-07-17T07:12:06.5034205Z >>> async_add_chained, 2025-07-17T07:12:06.5034336Z >>> args=("worker2", torch.ones(2), 1, 1) 2025-07-17T07:12:06.5034418Z >>> ) 2025-07-17T07:12:06.5034546Z >>> print(ret) # prints tensor([3., 3.]) 2025-07-17T07:12:06.5034607Z 2025-07-17T07:12:06.5034829Z When combined with TorchScript decorators, this decorator must be the 2025-07-17T07:12:06.5034916Z outmost one. 2025-07-17T07:12:06.5034921Z 2025-07-17T07:12:06.5035032Z >>> from torch import Tensor 2025-07-17T07:12:06.5035142Z >>> from torch.futures import Future 2025-07-17T07:12:06.5035257Z >>> from torch.distributed import rpc 2025-07-17T07:12:06.5035351Z >>> 2025-07-17T07:12:06.5035461Z >>> # omitting setup and shutdown RPC 2025-07-17T07:12:06.5035556Z >>> 2025-07-17T07:12:06.5035645Z >>> # On all workers 2025-07-17T07:12:06.5035739Z >>> @torch.jit.script 2025-07-17T07:12:06.5035896Z >>> def script_add(x: Tensor, y: Tensor) -> Tensor: 2025-07-17T07:12:06.5035985Z >>> return x + y 2025-07-17T07:12:06.5036065Z >>> 2025-07-17T07:12:06.5036189Z >>> @rpc.functions.async_execution 2025-07-17T07:12:06.5036283Z >>> @torch.jit.script 2025-07-17T07:12:06.5036470Z >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]: 2025-07-17T07:12:06.5036623Z >>> return rpc.rpc_async(to, script_add, (x, y)) 2025-07-17T07:12:06.5036702Z >>> 2025-07-17T07:12:06.5036787Z >>> # On worker0 2025-07-17T07:12:06.5036897Z >>> ret = rpc.rpc_sync( 2025-07-17T07:12:06.5036982Z >>> "worker1", 2025-07-17T07:12:06.5037083Z >>> async_add, 2025-07-17T07:12:06.5037197Z >>> args=("worker2", torch.ones(2), 1) 2025-07-17T07:12:06.5037279Z >>> ) 2025-07-17T07:12:06.5037408Z >>> print(ret) # prints tensor([2., 2.]) 2025-07-17T07:12:06.5037413Z 2025-07-17T07:12:06.5037741Z When combined with static or class method, this decorator must be the 2025-07-17T07:12:06.5037826Z inner one. 2025-07-17T07:12:06.5037831Z 2025-07-17T07:12:06.5037961Z >>> from torch.distributed import rpc 2025-07-17T07:12:06.5038041Z >>> 2025-07-17T07:12:06.5038151Z >>> # omitting setup and shutdown RPC 2025-07-17T07:12:06.5038244Z >>> 2025-07-17T07:12:06.5038339Z >>> # On all workers 2025-07-17T07:12:06.5038460Z >>> class AsyncExecutionClass: 2025-07-17T07:12:06.5038540Z >>> 2025-07-17T07:12:06.5038632Z >>> @staticmethod 2025-07-17T07:12:06.5038758Z >>> @rpc.functions.async_execution 2025-07-17T07:12:06.5038869Z >>> def static_async_add(to, x, y, z): 2025-07-17T07:12:06.5039037Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-07-17T07:12:06.5039159Z >>> lambda fut: fut.wait() + z 2025-07-17T07:12:06.5039273Z >>> ) 2025-07-17T07:12:06.5039352Z >>> 2025-07-17T07:12:06.5039453Z >>> @classmethod 2025-07-17T07:12:06.5039566Z >>> @rpc.functions.async_execution 2025-07-17T07:12:06.5039682Z >>> def class_async_add(cls, to, x, y, z): 2025-07-17T07:12:06.5039812Z >>> ret_fut = torch.futures.Future() 2025-07-17T07:12:06.5039959Z >>> rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-07-17T07:12:06.5040123Z >>> lambda fut: ret_fut.set_result(fut.wait() + z) 2025-07-17T07:12:06.5040205Z >>> ) 2025-07-17T07:12:06.5040299Z >>> return ret_fut 2025-07-17T07:12:06.5040390Z >>> 2025-07-17T07:12:06.5040504Z >>> @rpc.functions.async_execution 2025-07-17T07:12:06.5040622Z >>> def bound_async_add(self, to, x, y, z): 2025-07-17T07:12:06.5040800Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-07-17T07:12:06.5040940Z >>> lambda fut: fut.wait() + z 2025-07-17T07:12:06.5041023Z >>> ) 2025-07-17T07:12:06.5041113Z >>> 2025-07-17T07:12:06.5041195Z >>> # On worker0 2025-07-17T07:12:06.5041306Z >>> ret = rpc.rpc_sync( 2025-07-17T07:12:06.5041392Z >>> "worker1", 2025-07-17T07:12:06.5041522Z >>> AsyncExecutionClass.static_async_add, 2025-07-17T07:12:06.5041647Z >>> args=("worker2", torch.ones(2), 1, 2) 2025-07-17T07:12:06.5041728Z >>> ) 2025-07-17T07:12:06.5041841Z >>> print(ret) # prints tensor([4., 4.]) 2025-07-17T07:12:06.5041990Z >>> 2025-07-17T07:12:06.5042085Z >>> ret = rpc.rpc_sync( 2025-07-17T07:12:06.5042169Z >>> "worker1", 2025-07-17T07:12:06.5042307Z >>> AsyncExecutionClass.class_async_add, 2025-07-17T07:12:06.5042421Z >>> args=("worker2", torch.ones(2), 1, 2) 2025-07-17T07:12:06.5042501Z >>> ) 2025-07-17T07:12:06.5042628Z >>> print(ret) # prints tensor([4., 4.]) 2025-07-17T07:12:06.5042635Z 2025-07-17T07:12:06.5042792Z This decorator also works with RRef helpers, i.e., . 2025-07-17T07:12:06.5042942Z :meth:`torch.distributed.rpc.RRef.rpc_sync`, 2025-07-17T07:12:06.5043093Z :meth:`torch.distributed.rpc.RRef.rpc_async`, and 2025-07-17T07:12:06.5043228Z :meth:`torch.distributed.rpc.RRef.remote`. 2025-07-17T07:12:06.5043232Z 2025-07-17T07:12:06.5043361Z >>> from torch.distributed import rpc 2025-07-17T07:12:06.5043442Z >>> 2025-07-17T07:12:06.5043572Z >>> # reuse the AsyncExecutionClass class above 2025-07-17T07:12:06.5043741Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-07-17T07:12:06.5043947Z >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2) 2025-07-17T07:12:06.5044074Z >>> print(ret) # prints tensor([4., 4.]) 2025-07-17T07:12:06.5044156Z >>> 2025-07-17T07:12:06.5044303Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-07-17T07:12:06.5044547Z >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait() 2025-07-17T07:12:06.5044666Z >>> print(ret) # prints tensor([4., 4.]) 2025-07-17T07:12:06.5044744Z >>> 2025-07-17T07:12:06.5044902Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-07-17T07:12:06.5045129Z >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here() 2025-07-17T07:12:06.5045241Z >>> print(ret) # prints tensor([4., 4.]) 2025-07-17T07:12:06.5045259Z 2025-07-17T07:12:06.5045509Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.5045513Z 2025-07-17T07:12:06.5055768Z msg = Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/options.py line=113. 2025-07-17T07:12:06.5056048Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.5056054Z 2025-07-17T07:12:06.5056251Z Set device mapping between each RPC caller and callee pair. This 2025-07-17T07:12:06.5056450Z function can be called multiple times to incrementally add 2025-07-17T07:12:06.5056625Z device placement configurations. 2025-07-17T07:12:06.5056645Z 2025-07-17T07:12:06.5056740Z Args: 2025-07-17T07:12:06.5056836Z to (str): Callee name. 2025-07-17T07:12:06.5057030Z device_map (Dict of int, str, or torch.device): Device placement 2025-07-17T07:12:06.5057222Z mappings from this worker to the callee. This map must be 2025-07-17T07:12:06.5057311Z invertible. 2025-07-17T07:12:06.5057315Z 2025-07-17T07:12:06.5057398Z Example: 2025-07-17T07:12:06.5057530Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:06.5057617Z >>> # both workers 2025-07-17T07:12:06.5057704Z >>> def add(x, y): 2025-07-17T07:12:06.5057851Z >>> print(x) # tensor([1., 1.], device='cuda:1') 2025-07-17T07:12:06.5057948Z >>> return x + y, (x + y).to(2) 2025-07-17T07:12:06.5058029Z >>> 2025-07-17T07:12:06.5058129Z >>> # on worker 0 2025-07-17T07:12:06.5058315Z >>> options = TensorPipeRpcBackendOptions( 2025-07-17T07:12:06.5058435Z >>> num_worker_threads=8, 2025-07-17T07:12:06.5058542Z >>> device_maps={"worker1": {0: 1}} 2025-07-17T07:12:06.5058667Z >>> # maps worker0's cuda:0 to worker1's cuda:1 2025-07-17T07:12:06.5058763Z >>> ) 2025-07-17T07:12:06.5058889Z >>> options.set_device_map("worker1", {1: 2}) 2025-07-17T07:12:06.5059010Z >>> # maps worker0's cuda:1 to worker1's cuda:2 2025-07-17T07:12:06.5059178Z >>> 2025-07-17T07:12:06.5059270Z >>> rpc.init_rpc( 2025-07-17T07:12:06.5059424Z >>> "worker0", 2025-07-17T07:12:06.5059521Z >>> rank=0, 2025-07-17T07:12:06.5059611Z >>> world_size=2, 2025-07-17T07:12:06.5059738Z >>> backend=rpc.BackendType.TENSORPIPE, 2025-07-17T07:12:06.5059859Z >>> rpc_backend_options=options 2025-07-17T07:12:06.5059938Z >>> ) 2025-07-17T07:12:06.5060032Z >>> 2025-07-17T07:12:06.5060124Z >>> x = torch.ones(2) 2025-07-17T07:12:06.5060283Z >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1)) 2025-07-17T07:12:06.5060483Z >>> # The first argument will be moved to cuda:1 on worker1. When 2025-07-17T07:12:06.5060665Z >>> # sending the return value back, it will follow the invert of 2025-07-17T07:12:06.5060836Z >>> # the device map, and hence will be moved back to cuda:0 and 2025-07-17T07:12:06.5060941Z >>> # cuda:1 on worker0 2025-07-17T07:12:06.5061085Z >>> print(rets[0]) # tensor([2., 2.], device='cuda:0') 2025-07-17T07:12:06.5061311Z >>> print(rets[1]) # tensor([2., 2.], device='cuda:1') 2025-07-17T07:12:06.5061333Z 2025-07-17T07:12:06.5061585Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.5061589Z 2025-07-17T07:12:06.5089303Z msg = Cannot scrape callname=_server_process_global_profile in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19. 2025-07-17T07:12:06.5089591Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.5089601Z 2025-07-17T07:12:06.5089803Z It has the same API as ``torch.autograd.profiler.profile`` class, 2025-07-17T07:12:06.5090094Z except that it enables profiling on all threads running RPC server request callbacks. 2025-07-17T07:12:06.5090098Z 2025-07-17T07:12:06.5090378Z Context manager that manages autograd profiler state and holds a summary of results. 2025-07-17T07:12:06.5090608Z Under the hood it just records events of functions being executed in C++ and 2025-07-17T07:12:06.5090862Z exposes those events to Python. You can wrap any code into it and it will 2025-07-17T07:12:06.5090987Z only report runtime of PyTorch functions. 2025-07-17T07:12:06.5091269Z Note: profiler is thread local and is automatically propagated into the async tasks 2025-07-17T07:12:06.5091274Z 2025-07-17T07:12:06.5091355Z Args: 2025-07-17T07:12:06.5091617Z enabled (bool, optional): Setting this to False makes this context manager a no-op. 2025-07-17T07:12:06.5091729Z Default: ``True``. 2025-07-17T07:12:06.5091837Z 2025-07-17T07:12:06.5092120Z use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API. 2025-07-17T07:12:06.5092329Z Adds approximately 4us of overhead to each tensor operation. 2025-07-17T07:12:06.5092424Z Default: ``False`` 2025-07-17T07:12:06.5092428Z 2025-07-17T07:12:06.5092651Z record_shapes (bool, optional): If shapes recording is set, information 2025-07-17T07:12:06.5092891Z about input dimensions will be collected. This allows one to see which 2025-07-17T07:12:06.5093107Z dimensions have been used under the hood and further group by them 2025-07-17T07:12:06.5093322Z using prof.key_averages(group_by_input_shape=True). Please note that 2025-07-17T07:12:06.5093563Z shape recording might skew your profiling data. It is recommended to 2025-07-17T07:12:06.5093815Z use separate runs with and without shape recording to validate the timing. 2025-07-17T07:12:06.5094095Z Most likely the skew will be negligible for bottom most events (in a case 2025-07-17T07:12:06.5094309Z of nested function calls). But for higher level functions the total 2025-07-17T07:12:06.5094526Z self cpu time might be artificially increased because of the shape 2025-07-17T07:12:06.5094614Z collection. 2025-07-17T07:12:06.5094619Z 2025-07-17T07:12:06.5094881Z profile_memory (bool, optional): Whether to report memory usage, default: ``False`` 2025-07-17T07:12:06.5094886Z 2025-07-17T07:12:06.5094992Z .. warning:: 2025-07-17T07:12:06.5095287Z Enabling memory profiling incurs additional profiler overhead 2025-07-17T07:12:06.5095292Z 2025-07-17T07:12:06.5095380Z .. warning:: 2025-07-17T07:12:06.5095676Z Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`), 2025-07-17T07:12:06.5095871Z one cannot use the profiler with ``use_cuda = True`` to benchmark 2025-07-17T07:12:06.5096185Z DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading, 2025-07-17T07:12:06.5096362Z please use ``use_cuda = False`` or ``num_workers = 0``. 2025-07-17T07:12:06.5096367Z 2025-07-17T07:12:06.5096449Z Example: 2025-07-17T07:12:06.5096544Z >>> # xdoctest: +SKIP 2025-07-17T07:12:06.5096645Z >>> # On worker 0: 2025-07-17T07:12:06.5096730Z >>> import torch 2025-07-17T07:12:06.5096862Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:06.5096996Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-07-17T07:12:06.5097121Z >>> x, y = torch.tensor(1), torch.tensor(2) 2025-07-17T07:12:06.5097244Z >>> outer_profile_rref = rpc.remote( 2025-07-17T07:12:06.5097407Z ... dst_worker_name, rpc._server_process_global_profile 2025-07-17T07:12:06.5097488Z ... ) 2025-07-17T07:12:06.5097627Z >>> outer_profile_rref.rpc_sync().__enter__() 2025-07-17T07:12:06.5097774Z >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y)) 2025-07-17T07:12:06.5097884Z >>> inner_profile_rref = rpc.remote( 2025-07-17T07:12:06.5098053Z ... dst_worker_name, rpc._server_process_global_profile 2025-07-17T07:12:06.5098135Z ... ) 2025-07-17T07:12:06.5098268Z >>> inner_profile_rref.rpc_sync().__enter__() 2025-07-17T07:12:06.5098410Z >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y)) 2025-07-17T07:12:06.5098578Z >>> inner_profile_rref.rpc_sync().__exit__(None, None, None) 2025-07-17T07:12:06.5098755Z >>> outer_profile_rref.rpc_sync().__exit__(None, None, None) 2025-07-17T07:12:06.5098910Z >>> print(inner_profile_rref.rpc_sync().key_averages()) 2025-07-17T07:12:06.5099215Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-07-17T07:12:06.5099541Z Name Self CPU total % Self CPU total CPU total % CPU total CPU time avg Number of Calls 2025-07-17T07:12:06.5099766Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-07-17T07:12:06.5099968Z sub 85.06% 76.275us 100.00% 89.667us 89.667us 1 2025-07-17T07:12:06.5100188Z empty 14.94% 13.392us 14.94% 13.392us 13.392us 1 2025-07-17T07:12:06.5100410Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-07-17T07:12:06.5100526Z Self CPU time total: 89.667us 2025-07-17T07:12:06.5100684Z >>> print(outer_profile_rref.rpc_sync().key_averages()) 2025-07-17T07:12:06.5100920Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-07-17T07:12:06.5101220Z Name Self CPU total % Self CPU total CPU total % CPU total CPU time avg Number of Calls 2025-07-17T07:12:06.5101436Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-07-17T07:12:06.5101658Z sub 35.65% 76.275us 41.91% 89.667us 89.667us 1 2025-07-17T07:12:06.5101842Z empty 12.67% 27.101us 12.67% 27.101us 13.551us 2 2025-07-17T07:12:06.5102019Z add 51.68% 110.550us 58.09% 124.259us 124.259us 1 2025-07-17T07:12:06.5102254Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-07-17T07:12:06.5102360Z Self CPU time total: 213.926us 2025-07-17T07:12:06.5102517Z >>> rpc.shutdown() 2025-07-17T07:12:06.5102523Z 2025-07-17T07:12:06.5102609Z >>> # On worker 1: 2025-07-17T07:12:06.5102730Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:06.5102881Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-07-17T07:12:06.5103036Z >>> # wait for worker 0 to finish work, and then shutdown. 2025-07-17T07:12:06.5103128Z >>> rpc.shutdown() 2025-07-17T07:12:06.5103147Z 2025-07-17T07:12:06.5103401Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.5103406Z 2025-07-17T07:12:06.6347178Z msg = Cannot scrape callname=local_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_func_map.py line=35. 2025-07-17T07:12:06.6347498Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.6347505Z 2025-07-17T07:12:06.6347790Z :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s 2025-07-17T07:12:06.6348093Z to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting 2025-07-17T07:12:06.6348359Z the local components of :class:`DTensor`, call the function, and wrap the outputs to 2025-07-17T07:12:06.6348535Z :class:`DTensor` according to the ``out_placements``. 2025-07-17T07:12:06.6348541Z 2025-07-17T07:12:06.6348623Z Args: 2025-07-17T07:12:06.6348853Z func (Callable): the function to be applied on each local shard of 2025-07-17T07:12:06.6348957Z :class:`DTensor` s. 2025-07-17T07:12:06.6349183Z out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]): 2025-07-17T07:12:06.6349452Z the desired placements of the :class:`DTensor` s in ``func``'s flattened output. 2025-07-17T07:12:06.6349689Z If the flattened ``output`` is a single value, the ``out_placements`` should be 2025-07-17T07:12:06.6349944Z of type `PlacementType`. Otherwise if the flattened ``output`` has multiple 2025-07-17T07:12:06.6350195Z values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1 2025-07-17T07:12:06.6350315Z mapping to the flattened ``output``. 2025-07-17T07:12:06.6350527Z Besides, for :class:`Tensor` output, we use `PlacementType` as its 2025-07-17T07:12:06.6350797Z placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType` 2025-07-17T07:12:06.6350894Z should be `None`. 2025-07-17T07:12:06.6351139Z Note that the only exception is when no :class:`DTensor` argument is passed 2025-07-17T07:12:06.6351518Z in. In this case, even if `out_placements` is not `None`, the result function 2025-07-17T07:12:06.6351784Z should ignore the desired placements because the function is not running with 2025-07-17T07:12:06.6351881Z :class:`DTensor` s. 2025-07-17T07:12:06.6352045Z in_placements (Tuple[`PlacementType`, ...], optional): 2025-07-17T07:12:06.6352344Z the required placements of the :class:`DTensor` s in the flattened inputs of ``func``. 2025-07-17T07:12:06.6352576Z If ``in_placements`` is specified, :meth:`local_map` would examine whether the 2025-07-17T07:12:06.6352801Z placements of each :class:`DTensor` argument is the same as the required 2025-07-17T07:12:06.6352994Z placements or not. If the placements are not the same and 2025-07-17T07:12:06.6353236Z ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if 2025-07-17T07:12:06.6353552Z ``redistribute_inputs`` is ``True``, the argument will be first redistributed to 2025-07-17T07:12:06.6353806Z the required sharding placements before passing its local tensor to ``func``. 2025-07-17T07:12:06.6354026Z The only exception is when required placements are not ``None`` and the 2025-07-17T07:12:06.6354271Z argument is a :class:`torch.Tensor`. In this case, the placements examination 2025-07-17T07:12:06.6354589Z will be skipped and the argument will be directly passed to ``func``. 2025-07-17T07:12:06.6354807Z If ``in_placements`` is ``None``, no placements examination will be performed. 2025-07-17T07:12:06.6354909Z Default: None 2025-07-17T07:12:06.6355090Z in_grad_placements (Tuple[`PlacementType`, ...], optional): 2025-07-17T07:12:06.6355311Z the placements hint of the :class:`DTensor` s gradient corresponds 2025-07-17T07:12:06.6355517Z to the flattened input DTensor. This argument is the hint that user 2025-07-17T07:12:06.6355700Z can give to :meth:`to_local` in case the gradient layout of the 2025-07-17T07:12:06.6355923Z local tensor input does not match its :class:`DTensor` input layout. 2025-07-17T07:12:06.6356118Z If not specified, we will assume the gradient layout of the local 2025-07-17T07:12:06.6356332Z tensor input remains the same as the original :class:`DTensor` input 2025-07-17T07:12:06.6356510Z and use that for gradient computation. Default: None. 2025-07-17T07:12:06.6356649Z device_mesh (:class:`DeviceMesh`, optional): 2025-07-17T07:12:06.6356880Z the device mesh that the output :class:`DTensor` s are placed on. If not 2025-07-17T07:12:06.6357128Z specified, this will be inferred from the first input :class:`DTensor`'s device 2025-07-17T07:12:06.6357226Z mesh. Default: None. 2025-07-17T07:12:06.6357231Z 2025-07-17T07:12:06.6357329Z Keyword Args: 2025-07-17T07:12:06.6357448Z redistribute_inputs (bool, optional): 2025-07-17T07:12:06.6357698Z the bool value indicating whether to reshard the input :class:`DTensor` s when 2025-07-17T07:12:06.6357958Z their placements are different from the required input placements. If this 2025-07-17T07:12:06.6358183Z value is ``False`` and some :class:`DTensor` input has a different placement, 2025-07-17T07:12:06.6358331Z an exception will be raised. Default: False. 2025-07-17T07:12:06.6358336Z 2025-07-17T07:12:06.6358420Z Returns: 2025-07-17T07:12:06.6358673Z A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor` 2025-07-17T07:12:06.6358923Z and returns a :class:`DTensor` constructed from the return value of ``func``. 2025-07-17T07:12:06.6358927Z 2025-07-17T07:12:06.6359011Z Raises: 2025-07-17T07:12:06.6359258Z AssertionError: For any non-DTensor output, we require its corresponding 2025-07-17T07:12:06.6359512Z output placement in ``out_placements`` be None. An AssertionError will be raised 2025-07-17T07:12:06.6359644Z if this is not the case. 2025-07-17T07:12:06.6359648Z 2025-07-17T07:12:06.6359917Z ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs 2025-07-17T07:12:06.6360066Z a redistribution according to ``in_placements``. 2025-07-17T07:12:06.6360071Z 2025-07-17T07:12:06.6360157Z Example: 2025-07-17T07:12:06.6360280Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:06.6360414Z >>> def mm_allreduce_forward(device_mesh, W, X): 2025-07-17T07:12:06.6360552Z >>> partial_sum_tensor = torch.mm(W, X) 2025-07-17T07:12:06.6360794Z >>> reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh) 2025-07-17T07:12:06.6360899Z >>> return reduced_tensor 2025-07-17T07:12:06.6360994Z >>> 2025-07-17T07:12:06.6361119Z >>> W = torch.randn(12, 8, requires_grad=False) 2025-07-17T07:12:06.6361239Z >>> X = torch.randn(8, 16, requires_grad=False) 2025-07-17T07:12:06.6361373Z >>> Y = torch.mm(W, X) 2025-07-17T07:12:06.6361563Z >>> row_wise = [Shard(0)] # row-wise sharding placements on 1-d mesh 2025-07-17T07:12:06.6361741Z >>> col_wise = [Shard(1)] # col-wise sharding placements on 1-d mesh 2025-07-17T07:12:06.6361834Z >>> 2025-07-17T07:12:06.6362102Z >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor convertion 2025-07-17T07:12:06.6362241Z >>> local_mm_allreduce_forward = local_map( 2025-07-17T07:12:06.6362342Z >>> mm_allreduce_forward, 2025-07-17T07:12:06.6362544Z >>> out_placements=[Replicate()], 2025-07-17T07:12:06.6362676Z >>> in_placements=[col_wise, row_wise], 2025-07-17T07:12:06.6362777Z >>> device_mesh=device_mesh, 2025-07-17T07:12:06.6362857Z >>> ) 2025-07-17T07:12:06.6362949Z >>> 2025-07-17T07:12:06.6363049Z >>> W_dt = distribute_tensor( 2025-07-17T07:12:06.6363156Z ... W, device_mesh, (col_wise) 2025-07-17T07:12:06.6363330Z ... ) # col-wisely sharded W tensor 2025-07-17T07:12:06.6363476Z >>> X_dt = distribute_tensor( 2025-07-17T07:12:06.6363594Z ... X, device_mesh, (row_wise) 2025-07-17T07:12:06.6363700Z ... ) # row-wisely sharded X tensor 2025-07-17T07:12:06.6363856Z >>> Y_dt = local_mm_allreduce_forward( 2025-07-17T07:12:06.6364015Z ... device_mesh, W_dt, X_dt 2025-07-17T07:12:06.6364221Z ... ) # apply local_mm_allreduce_forward to DTensors 2025-07-17T07:12:06.6364229Z 2025-07-17T07:12:06.6364501Z .. note:: This API is currently experimental and subject to change 2025-07-17T07:12:06.6364508Z 2025-07-17T07:12:06.6364782Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.6364786Z 2025-07-17T07:12:06.6365702Z msg = Cannot scrape callname=register_sharding in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=25. 2025-07-17T07:12:06.6365978Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.6365986Z 2025-07-17T07:12:06.6366270Z :meth:`register_sharding` is an experimental API that allows users to register sharding 2025-07-17T07:12:06.6366520Z strategies for an operator when the tensor inputs and outputs are DTensor. 2025-07-17T07:12:06.6366765Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``, 2025-07-17T07:12:06.6367005Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2) 2025-07-17T07:12:06.6367295Z when users would like to overwrite default sharding strategies of existing operators. 2025-07-17T07:12:06.6367300Z 2025-07-17T07:12:06.6367383Z Args: 2025-07-17T07:12:06.6367513Z op (Union[OpOverload, List[OpOverload]]): 2025-07-17T07:12:06.6367728Z An op or a list of ops to register the customized sharding function. 2025-07-17T07:12:06.6367734Z 2025-07-17T07:12:06.6367819Z Returns: 2025-07-17T07:12:06.6368093Z A function decorator which can be used to wrap a function that defines the sharding 2025-07-17T07:12:06.6368364Z strategy for the operator specified in ``op``. The defined sharding strategy will be 2025-07-17T07:12:06.6368713Z registered to DTensor and will override the default sharding strategy if DTensor has 2025-07-17T07:12:06.6369015Z already implemented the operator. The customized sharding function takes the same inputs 2025-07-17T07:12:06.6369256Z as the original op (except that if an arg is a :class:`torch.Tensor`, it will be 2025-07-17T07:12:06.6369718Z replaced by a tensor-like object that DTensor uses internally). The function should 2025-07-17T07:12:06.6369992Z return a sequence of 2-tuples, each specifying acceptable output placements and its 2025-07-17T07:12:06.6370109Z corresponding intput placements. 2025-07-17T07:12:06.6370114Z 2025-07-17T07:12:06.6370213Z Example: 2025-07-17T07:12:06.6370326Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:06.6370469Z >>> @register_sharding(aten._softmax.default) 2025-07-17T07:12:06.6370698Z >>> def custom_softmax_sharding(x, dim, half_to_float): 2025-07-17T07:12:06.6370838Z >>> softmax_dim = dim if dim >= 0 else dim + x.ndim 2025-07-17T07:12:06.6370959Z >>> acceptable_shardings = [] 2025-07-17T07:12:06.6371039Z >>> 2025-07-17T07:12:06.6371213Z >>> all_replicate = ([Replicate()], [Replicate(), None, None]) 2025-07-17T07:12:06.6371365Z >>> acceptable_shardings.append(all_replicate) 2025-07-17T07:12:06.6371445Z >>> 2025-07-17T07:12:06.6371559Z >>> for sharding_dim in range(x.ndim): 2025-07-17T07:12:06.6371769Z >>> if sharding_dim != softmax_dim: 2025-07-17T07:12:06.6371866Z >>> all_sharded = ( 2025-07-17T07:12:06.6371986Z >>> [Shard(sharding_dim)], 2025-07-17T07:12:06.6372109Z >>> [Shard(sharding_dim), None, None], 2025-07-17T07:12:06.6372193Z >>> ) 2025-07-17T07:12:06.6372342Z >>> acceptable_shardings.append(all_sharded) 2025-07-17T07:12:06.6372424Z >>> 2025-07-17T07:12:06.6372532Z >>> return acceptable_shardings 2025-07-17T07:12:06.6372537Z 2025-07-17T07:12:06.6372746Z .. note:: This API is currently experimental and subject to change 2025-07-17T07:12:06.6372751Z 2025-07-17T07:12:06.6373002Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.6373007Z 2025-07-17T07:12:06.6611032Z msg = Cannot scrape callname=PrepareModuleInput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=428. 2025-07-17T07:12:06.6611332Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.6611338Z 2025-07-17T07:12:06.6611730Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to 2025-07-17T07:12:06.6612049Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``. 2025-07-17T07:12:06.6612059Z 2025-07-17T07:12:06.6612144Z Keyword Args: 2025-07-17T07:12:06.6612357Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-07-17T07:12:06.6612683Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2025-07-17T07:12:06.6613051Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2025-07-17T07:12:06.6613165Z as a placeholder. default: None. 2025-07-17T07:12:06.6613391Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-07-17T07:12:06.6613780Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-07-17T07:12:06.6614172Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2025-07-17T07:12:06.6614314Z input_kwarg_layouts (Dict[str, Placement]): 2025-07-17T07:12:06.6614734Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2025-07-17T07:12:06.6615001Z default: None 2025-07-17T07:12:06.6615234Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2025-07-17T07:12:06.6615732Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-07-17T07:12:06.6615880Z have the desired DTensor layouts. default: None. 2025-07-17T07:12:06.6616003Z use_local_output (bool, optional): 2025-07-17T07:12:06.6616438Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2025-07-17T07:12:06.6616535Z Returns: 2025-07-17T07:12:06.6616846Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs. 2025-07-17T07:12:06.6616852Z 2025-07-17T07:12:06.6616950Z Example:: 2025-07-17T07:12:06.6617069Z >>> # xdoctest: +SKIP(failing) 2025-07-17T07:12:06.6617475Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput 2025-07-17T07:12:06.6617670Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-07-17T07:12:06.6617767Z >>> ... 2025-07-17T07:12:06.6618070Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-07-17T07:12:06.6618209Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-07-17T07:12:06.6618290Z >>> 2025-07-17T07:12:06.6618708Z >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor 2025-07-17T07:12:06.6618866Z >>> # and then redistributed to Replicated DTensor. 2025-07-17T07:12:06.6618967Z >>> parallelize_module( 2025-07-17T07:12:06.6619176Z >>> block, # this can be a submodule or module 2025-07-17T07:12:06.6619275Z >>> tp_mesh, 2025-07-17T07:12:06.6619376Z >>> parallelize_plan={ 2025-07-17T07:12:06.6619492Z >>> "attn": PrepareModuleInput( 2025-07-17T07:12:06.6619638Z >>> input_layouts=(Shard(0), None, None, ...), 2025-07-17T07:12:06.6619804Z >>> desired_input_layouts=(Replicate(), None, None, ...) 2025-07-17T07:12:06.6619900Z >>> ), 2025-07-17T07:12:06.6619979Z >>> } 2025-07-17T07:12:06.6620060Z >>> ) 2025-07-17T07:12:06.6620064Z 2025-07-17T07:12:06.6620327Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.6620332Z 2025-07-17T07:12:06.6621015Z msg = Cannot scrape callname=PrepareModuleOutput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=597. 2025-07-17T07:12:06.6621288Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.6621293Z 2025-07-17T07:12:06.6621681Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to 2025-07-17T07:12:06.6622011Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``. 2025-07-17T07:12:06.6622032Z 2025-07-17T07:12:06.6622117Z Keyword Args: 2025-07-17T07:12:06.6622276Z output_layouts (Union[Placement, Tuple[Placement]]): 2025-07-17T07:12:06.6622620Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2025-07-17T07:12:06.6623122Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2025-07-17T07:12:06.6623336Z ``None`` need to be specified as a placeholder. 2025-07-17T07:12:06.6623596Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2025-07-17T07:12:06.6624113Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2025-07-17T07:12:06.6624238Z have the desired DTensor layouts. 2025-07-17T07:12:06.6624351Z use_local_output (bool, optional): 2025-07-17T07:12:06.6624796Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2025-07-17T07:12:06.6624945Z Returns: 2025-07-17T07:12:06.6625236Z A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs. 2025-07-17T07:12:06.6625241Z 2025-07-17T07:12:06.6625329Z Example:: 2025-07-17T07:12:06.6625449Z >>> # xdoctest: +SKIP(failing) 2025-07-17T07:12:06.6625767Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput 2025-07-17T07:12:06.6625977Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-07-17T07:12:06.6626060Z >>> ... 2025-07-17T07:12:06.6626362Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-07-17T07:12:06.6626501Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-07-17T07:12:06.6626582Z >>> 2025-07-17T07:12:06.6626980Z >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor 2025-07-17T07:12:06.6627156Z >>> # and then redistributed to Sharded DTensor. 2025-07-17T07:12:06.6627255Z >>> parallelize_module( 2025-07-17T07:12:06.6627385Z >>> block, # this can be a submodule or module 2025-07-17T07:12:06.6627480Z >>> tp_mesh, 2025-07-17T07:12:06.6627612Z >>> parallelize_plan = PrepareModuleOutput( 2025-07-17T07:12:06.6627733Z >>> output_layouts=Replicate(), 2025-07-17T07:12:06.6627846Z >>> desired_output_layouts=Shard(0) 2025-07-17T07:12:06.6627926Z >>> ) 2025-07-17T07:12:06.6628073Z >>> ) 2025-07-17T07:12:06.6628078Z 2025-07-17T07:12:06.6628328Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.6628333Z 2025-07-17T07:12:06.6629056Z msg = Cannot scrape callname=PrepareModuleInputOutput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=705. 2025-07-17T07:12:06.6629314Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.6629321Z 2025-07-17T07:12:06.6629751Z Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module 2025-07-17T07:12:06.6630181Z to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution 2025-07-17T07:12:06.6630554Z according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of 2025-07-17T07:12:06.6630774Z :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`. 2025-07-17T07:12:06.6630778Z 2025-07-17T07:12:06.6630864Z Keyword Args: 2025-07-17T07:12:06.6631058Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-07-17T07:12:06.6631397Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2025-07-17T07:12:06.6631746Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2025-07-17T07:12:06.6631876Z as a placeholder. default: None. 2025-07-17T07:12:06.6632103Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-07-17T07:12:06.6632476Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-07-17T07:12:06.6632875Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2025-07-17T07:12:06.6633008Z input_kwarg_layouts (Dict[str, Placement]): 2025-07-17T07:12:06.6633391Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2025-07-17T07:12:06.6633479Z default: None 2025-07-17T07:12:06.6633634Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2025-07-17T07:12:06.6634009Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-07-17T07:12:06.6634184Z have the desired DTensor layouts. default: None. 2025-07-17T07:12:06.6634292Z use_local_input (bool, optional): 2025-07-17T07:12:06.6634657Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2025-07-17T07:12:06.6634814Z output_layouts (Union[Placement, Tuple[Placement]]): 2025-07-17T07:12:06.6635167Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2025-07-17T07:12:06.6635546Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2025-07-17T07:12:06.6635698Z ``None`` need to be specified as a placeholder. 2025-07-17T07:12:06.6635890Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2025-07-17T07:12:06.6636274Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2025-07-17T07:12:06.6636428Z have the desired DTensor layouts. 2025-07-17T07:12:06.6636539Z use_local_output (bool, optional): 2025-07-17T07:12:06.6636907Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2025-07-17T07:12:06.6636991Z Returns: 2025-07-17T07:12:06.6637355Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs. 2025-07-17T07:12:06.6637359Z 2025-07-17T07:12:06.6637459Z Example:: 2025-07-17T07:12:06.6637613Z >>> # xdoctest: +SKIP(failing) 2025-07-17T07:12:06.6637953Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput 2025-07-17T07:12:06.6638155Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-07-17T07:12:06.6638237Z >>> ... 2025-07-17T07:12:06.6638550Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-07-17T07:12:06.6638674Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-07-17T07:12:06.6638759Z >>> 2025-07-17T07:12:06.6639100Z >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor 2025-07-17T07:12:06.6639455Z >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated 2025-07-17T07:12:06.6639662Z >>> # as Replicated DTensor and then redistributed to Sharded DTensor. 2025-07-17T07:12:06.6639773Z >>> parallelize_module( 2025-07-17T07:12:06.6639909Z >>> block, # this can be a submodule or module 2025-07-17T07:12:06.6639993Z >>> tp_mesh, 2025-07-17T07:12:06.6640108Z >>> parallelize_plan={ 2025-07-17T07:12:06.6640236Z >>> "attn": PrepareModuleInputOutput( 2025-07-17T07:12:06.6640381Z >>> input_layouts=(Shard(0), None, None, ...), 2025-07-17T07:12:06.6640549Z >>> desired_input_layouts=(Replicate(), None, None, ...), 2025-07-17T07:12:06.6640667Z >>> output_layouts=Replicate(), 2025-07-17T07:12:06.6640800Z >>> desired_output_layouts=Shard(0), 2025-07-17T07:12:06.6640882Z >>> ), 2025-07-17T07:12:06.6640962Z >>> } 2025-07-17T07:12:06.6641054Z >>> ) 2025-07-17T07:12:06.6641059Z 2025-07-17T07:12:06.6641308Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.6641313Z 2025-07-17T07:12:06.7342814Z msg = Cannot scrape callname=LowRankMultivariateNormal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56. 2025-07-17T07:12:06.7343984Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.7344369Z 2025-07-17T07:12:06.7344675Z Creates a multivariate normal distribution with covariance matrix having a low-rank form 2025-07-17T07:12:06.7345318Z parameterized by :attr:`cov_factor` and :attr:`cov_diag`:: 2025-07-17T07:12:06.7345619Z 2025-07-17T07:12:06.7345966Z covariance_matrix = cov_factor @ cov_factor.T + cov_diag 2025-07-17T07:12:06.7346252Z 2025-07-17T07:12:06.7346353Z Example: 2025-07-17T07:12:06.7346610Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-07-17T07:12:06.7347008Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-07-17T07:12:06.7347383Z >>> m = LowRankMultivariateNormal( 2025-07-17T07:12:06.7347772Z ... torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2) 2025-07-17T07:12:06.7348151Z ... ) 2025-07-17T07:12:06.7348567Z >>> m.sample() # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]` 2025-07-17T07:12:06.7349062Z tensor([-0.2102, -0.5429]) 2025-07-17T07:12:06.7349250Z 2025-07-17T07:12:06.7349331Z Args: 2025-07-17T07:12:06.7349685Z loc (Tensor): mean of the distribution with shape `batch_shape + event_shape` 2025-07-17T07:12:06.7350297Z cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape 2025-07-17T07:12:06.7350844Z `batch_shape + event_shape + (rank,)` 2025-07-17T07:12:06.7351328Z cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape 2025-07-17T07:12:06.7351814Z `batch_shape + event_shape` 2025-07-17T07:12:06.7352014Z 2025-07-17T07:12:06.7352095Z Note: 2025-07-17T07:12:06.7352487Z The computation for determinant and inverse of covariance matrix is avoided when 2025-07-17T07:12:06.7353123Z `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity 2025-07-17T07:12:06.7353806Z `_ and 2025-07-17T07:12:06.7354410Z `matrix determinant lemma `_. 2025-07-17T07:12:06.7355083Z Thanks to these formulas, we just need to compute the determinant and inverse of 2025-07-17T07:12:06.7355585Z the small size "capacitance" matrix:: 2025-07-17T07:12:06.7355810Z 2025-07-17T07:12:06.7355988Z capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor 2025-07-17T07:12:06.7356298Z 2025-07-17T07:12:06.7356549Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.7356927Z 2025-07-17T07:12:06.7366767Z msg = Cannot scrape callname=MixtureSameFamily in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/mixture_same_family.py line=15. 2025-07-17T07:12:06.7367785Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.7368160Z 2025-07-17T07:12:06.7368405Z The `MixtureSameFamily` distribution implements a (batch of) mixture 2025-07-17T07:12:06.7368977Z distribution where all component are from different parameterizations of 2025-07-17T07:12:06.7369690Z the same distribution type. It is parameterized by a `Categorical` 2025-07-17T07:12:06.7370213Z "selecting distribution" (over `k` component) and a component 2025-07-17T07:12:06.7370717Z distribution, i.e., a `Distribution` with a rightmost batch shape 2025-07-17T07:12:06.7371202Z (equal to `[k]`) which indexes each (batch of) component. 2025-07-17T07:12:06.7371492Z 2025-07-17T07:12:06.7371585Z Examples:: 2025-07-17T07:12:06.7371706Z 2025-07-17T07:12:06.7371832Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:06.7372246Z >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally 2025-07-17T07:12:06.7372678Z >>> # weighted normal distributions 2025-07-17T07:12:06.7373011Z >>> mix = D.Categorical(torch.ones(5,)) 2025-07-17T07:12:06.7373392Z >>> comp = D.Normal(torch.randn(5,), torch.rand(5,)) 2025-07-17T07:12:06.7373754Z >>> gmm = MixtureSameFamily(mix, comp) 2025-07-17T07:12:06.7373985Z 2025-07-17T07:12:06.7374182Z >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally 2025-07-17T07:12:06.7374635Z >>> # weighted bivariate normal distributions 2025-07-17T07:12:06.7374978Z >>> mix = D.Categorical(torch.ones(5,)) 2025-07-17T07:12:06.7375318Z >>> comp = D.Independent(D.Normal( 2025-07-17T07:12:06.7375785Z ... torch.randn(5,2), torch.rand(5,2)), 1) 2025-07-17T07:12:06.7376153Z >>> gmm = MixtureSameFamily(mix, comp) 2025-07-17T07:12:06.7376376Z 2025-07-17T07:12:06.7376572Z >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each 2025-07-17T07:12:06.7377066Z >>> # consisting of 5 random weighted bivariate normal distributions 2025-07-17T07:12:06.7377511Z >>> mix = D.Categorical(torch.rand(3,5)) 2025-07-17T07:12:06.7377852Z >>> comp = D.Independent(D.Normal( 2025-07-17T07:12:06.7378194Z ... torch.randn(3,5,2), torch.rand(3,5,2)), 1) 2025-07-17T07:12:06.7378565Z >>> gmm = MixtureSameFamily(mix, comp) 2025-07-17T07:12:06.7378801Z 2025-07-17T07:12:06.7378884Z Args: 2025-07-17T07:12:06.7379297Z mixture_distribution: `torch.distributions.Categorical`-like 2025-07-17T07:12:06.7379803Z instance. Manages the probability of selecting component. 2025-07-17T07:12:06.7380278Z The number of categories must match the rightmost batch 2025-07-17T07:12:06.7380828Z dimension of the `component_distribution`. Must have either 2025-07-17T07:12:06.7381264Z scalar `batch_shape` or `batch_shape` matching 2025-07-17T07:12:06.7381656Z `component_distribution.batch_shape[:-1]` 2025-07-17T07:12:06.7382130Z component_distribution: `torch.distributions.Distribution`-like 2025-07-17T07:12:06.7382638Z instance. Right-most batch dimension indexes component. 2025-07-17T07:12:06.7382945Z 2025-07-17T07:12:06.7383278Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.7383660Z 2025-07-17T07:12:06.7526423Z msg = Cannot scrape callname=RelaxedBernoulli in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_bernoulli.py line=120. 2025-07-17T07:12:06.7527581Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.7527963Z 2025-07-17T07:12:06.7528172Z Creates a RelaxedBernoulli distribution, parametrized by 2025-07-17T07:12:06.7528714Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits` 2025-07-17T07:12:06.7529300Z (but not both). This is a relaxed version of the `Bernoulli` distribution, 2025-07-17T07:12:06.7529846Z so the values are in (0, 1), and has reparametrizable samples. 2025-07-17T07:12:06.7530167Z 2025-07-17T07:12:06.7530278Z Example:: 2025-07-17T07:12:06.7530395Z 2025-07-17T07:12:06.7530530Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-07-17T07:12:06.7530974Z >>> m = RelaxedBernoulli(torch.tensor([2.2]), 2025-07-17T07:12:06.7531354Z ... torch.tensor([0.1, 0.2, 0.3, 0.99])) 2025-07-17T07:12:06.7531726Z >>> m.sample() 2025-07-17T07:12:06.7531984Z tensor([ 0.2951, 0.3442, 0.8918, 0.9021]) 2025-07-17T07:12:06.7532265Z 2025-07-17T07:12:06.7532356Z Args: 2025-07-17T07:12:06.7532597Z temperature (Tensor): relaxation temperature 2025-07-17T07:12:06.7533084Z probs (Number, Tensor): the probability of sampling `1` 2025-07-17T07:12:06.7533537Z logits (Number, Tensor): the log-odds of sampling `1` 2025-07-17T07:12:06.7533871Z 2025-07-17T07:12:06.7534136Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.7534530Z 2025-07-17T07:12:06.7546594Z msg = Cannot scrape callname=RelaxedOneHotCategorical in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_categorical.py line=109. 2025-07-17T07:12:06.7547815Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:06.7548218Z 2025-07-17T07:12:06.7548471Z Creates a RelaxedOneHotCategorical distribution parametrized by 2025-07-17T07:12:06.7549018Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`. 2025-07-17T07:12:06.7549627Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so 2025-07-17T07:12:06.7550199Z its samples are on simplex, and are reparametrizable. 2025-07-17T07:12:06.7550482Z 2025-07-17T07:12:06.7550578Z Example:: 2025-07-17T07:12:06.7550899Z 2025-07-17T07:12:06.7551050Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-07-17T07:12:06.7551443Z >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]), 2025-07-17T07:12:06.7551909Z ... torch.tensor([0.1, 0.2, 0.3, 0.4])) 2025-07-17T07:12:06.7552247Z >>> m.sample() 2025-07-17T07:12:06.7552555Z tensor([ 0.1294, 0.2324, 0.3859, 0.2523]) 2025-07-17T07:12:06.7552789Z 2025-07-17T07:12:06.7552868Z Args: 2025-07-17T07:12:06.7553139Z temperature (Tensor): relaxation temperature 2025-07-17T07:12:06.7553560Z probs (Tensor): event probabilities 2025-07-17T07:12:06.7554017Z logits (Tensor): unnormalized log probability for each event 2025-07-17T07:12:06.7554333Z 2025-07-17T07:12:06.7554581Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:06.7555013Z 2025-07-17T07:12:07.1647246Z msg = Cannot scrape callname=assoc_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=245. 2025-07-17T07:12:07.1648761Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.1649345Z Return a new dict with new, potentially nested, key value pair 2025-07-17T07:12:07.1649729Z 2025-07-17T07:12:07.1649822Z >>> purchase = { 2025-07-17T07:12:07.1650082Z ... "name": "Alice", 2025-07-17T07:12:07.1650520Z ... "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-07-17T07:12:07.1651256Z ... "credit card": "5555-1234-1234-1234", 2025-07-17T07:12:07.1651596Z ... } 2025-07-17T07:12:07.1651928Z >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00]) # doctest: +SKIP 2025-07-17T07:12:07.1652345Z {'credit card': '5555-1234-1234-1234', 2025-07-17T07:12:07.1652648Z 'name': 'Alice', 2025-07-17T07:12:07.1652968Z 'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}} 2025-07-17T07:12:07.1653325Z 2025-07-17T07:12:07.1653690Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.1654170Z 2025-07-17T07:12:07.1654924Z msg = Cannot scrape callname=update_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=261. 2025-07-17T07:12:07.1656227Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.1656826Z Update value in a (potentially) nested dictionary 2025-07-17T07:12:07.1657085Z 2025-07-17T07:12:07.1657169Z inputs: 2025-07-17T07:12:07.1657440Z d - dictionary on which to operate 2025-07-17T07:12:07.1657915Z keys - list or tuple giving the location of the value to be changed in d 2025-07-17T07:12:07.1658425Z func - function to operate on that value 2025-07-17T07:12:07.1658664Z 2025-07-17T07:12:07.1658848Z If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the 2025-07-17T07:12:07.1659545Z original dictionary with v replaced by func(v), but does not mutate the 2025-07-17T07:12:07.1660061Z original dictionary. 2025-07-17T07:12:07.1660235Z 2025-07-17T07:12:07.1660437Z If k0 is not a key in d, update_in creates nested dictionaries to the depth 2025-07-17T07:12:07.1661049Z specified by the keys, with the innermost value set to func(default). 2025-07-17T07:12:07.1661377Z 2025-07-17T07:12:07.1661545Z >>> inc = lambda x: x + 1 2025-07-17T07:12:07.1661834Z >>> update_in({"a": 0}, ["a"], inc) 2025-07-17T07:12:07.1662116Z {'a': 1} 2025-07-17T07:12:07.1662301Z 2025-07-17T07:12:07.1662406Z >>> transaction = { 2025-07-17T07:12:07.1662660Z ... "name": "Alice", 2025-07-17T07:12:07.1663045Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-07-17T07:12:07.1663492Z ... "credit card": "5555-1234-1234-1234", 2025-07-17T07:12:07.1663846Z ... } 2025-07-17T07:12:07.1664187Z >>> update_in(transaction, ["purchase", "costs"], sum) # doctest: +SKIP 2025-07-17T07:12:07.1664693Z {'credit card': '5555-1234-1234-1234', 2025-07-17T07:12:07.1665115Z 'name': 'Alice', 2025-07-17T07:12:07.1665485Z 'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}} 2025-07-17T07:12:07.1665777Z 2025-07-17T07:12:07.1665894Z >>> # updating a value when k0 is not in d 2025-07-17T07:12:07.1666314Z >>> update_in({}, [1, 2, 3], str, default="bar") 2025-07-17T07:12:07.1666651Z {1: {2: {3: 'bar'}}} 2025-07-17T07:12:07.1666937Z >>> update_in({1: "foo"}, [2, 3, 4], inc, 0) 2025-07-17T07:12:07.1667303Z {1: 'foo', 2: {3: {4: 1}}} 2025-07-17T07:12:07.1667574Z 2025-07-17T07:12:07.1667996Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.1668380Z 2025-07-17T07:12:07.1669086Z msg = Cannot scrape callname=get_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=320. 2025-07-17T07:12:07.1670417Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.1671110Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys. 2025-07-17T07:12:07.1671385Z 2025-07-17T07:12:07.1671567Z If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless 2025-07-17T07:12:07.1672132Z ``no_default`` is specified, then it raises KeyError or IndexError. 2025-07-17T07:12:07.1672505Z 2025-07-17T07:12:07.1672727Z ``get_in`` is a generalization of ``operator.getitem`` for nested data 2025-07-17T07:12:07.1673239Z structures such as dictionaries and lists. 2025-07-17T07:12:07.1673567Z 2025-07-17T07:12:07.1673662Z >>> transaction = { 2025-07-17T07:12:07.1673961Z ... "name": "Alice", 2025-07-17T07:12:07.1674350Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-07-17T07:12:07.1674825Z ... "credit card": "5555-1234-1234-1234", 2025-07-17T07:12:07.1675144Z ... } 2025-07-17T07:12:07.1675404Z >>> get_in(["purchase", "items", 0], transaction) 2025-07-17T07:12:07.1675789Z 'Apple' 2025-07-17T07:12:07.1676024Z >>> get_in(["name"], transaction) 2025-07-17T07:12:07.1676371Z 'Alice' 2025-07-17T07:12:07.1676611Z >>> get_in(["purchase", "total"], transaction) 2025-07-17T07:12:07.1677042Z >>> get_in(["purchase", "items", "apple"], transaction) 2025-07-17T07:12:07.1677454Z >>> get_in(["purchase", "items", 10], transaction) 2025-07-17T07:12:07.1677893Z >>> get_in(["purchase", "total"], transaction, 0) 2025-07-17T07:12:07.1678218Z 0 2025-07-17T07:12:07.1678447Z >>> get_in(["y"], {}, no_default=True) 2025-07-17T07:12:07.1678837Z Traceback (most recent call last): 2025-07-17T07:12:07.1679126Z ... 2025-07-17T07:12:07.1679397Z KeyError: 'y' 2025-07-17T07:12:07.1679535Z 2025-07-17T07:12:07.1679630Z See Also: 2025-07-17T07:12:07.1679837Z itertoolz.get 2025-07-17T07:12:07.1680147Z operator.getitem 2025-07-17T07:12:07.1680397Z 2025-07-17T07:12:07.1680745Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.1681184Z 2025-07-17T07:12:07.1681919Z msg = Cannot scrape callname=groupby in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=373. 2025-07-17T07:12:07.1683012Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.1683568Z Group a collection by a key function 2025-07-17T07:12:07.1683779Z 2025-07-17T07:12:07.1684005Z >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"] 2025-07-17T07:12:07.1684410Z >>> groupby(len, names) # doctest: +SKIP 2025-07-17T07:12:07.1684853Z {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']} 2025-07-17T07:12:07.1685126Z 2025-07-17T07:12:07.1685241Z >>> iseven = lambda x: x % 2 == 0 2025-07-17T07:12:07.1685659Z >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8]) # doctest: +SKIP 2025-07-17T07:12:07.1686052Z {False: [1, 3, 5, 7], True: [2, 4, 6, 8]} 2025-07-17T07:12:07.1686338Z 2025-07-17T07:12:07.1686549Z Non-callable keys imply grouping on a member. 2025-07-17T07:12:07.1686794Z 2025-07-17T07:12:07.1686893Z >>> groupby( 2025-07-17T07:12:07.1687107Z ... "gender", 2025-07-17T07:12:07.1687401Z ... [ 2025-07-17T07:12:07.1687651Z ... {"name": "Alice", "gender": "F"}, 2025-07-17T07:12:07.1687986Z ... {"name": "Bob", "gender": "M"}, 2025-07-17T07:12:07.1688336Z ... {"name": "Charlie", "gender": "M"}, 2025-07-17T07:12:07.1688707Z ... ], 2025-07-17T07:12:07.1688932Z ... ) # doctest:+SKIP 2025-07-17T07:12:07.1689215Z {'F': [{'gender': 'F', 'name': 'Alice'}], 2025-07-17T07:12:07.1689545Z 'M': [{'gender': 'M', 'name': 'Bob'}, 2025-07-17T07:12:07.1689871Z {'gender': 'M', 'name': 'Charlie'}]} 2025-07-17T07:12:07.1690090Z 2025-07-17T07:12:07.1690228Z Not to be confused with ``itertools.groupby`` 2025-07-17T07:12:07.1690486Z 2025-07-17T07:12:07.1690607Z See Also: 2025-07-17T07:12:07.1690879Z countby 2025-07-17T07:12:07.1691089Z 2025-07-17T07:12:07.1691450Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.1691820Z 2025-07-17T07:12:07.5058214Z msg = Cannot scrape callname=calculate_gain in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py line=142. 2025-07-17T07:12:07.5059224Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.5059871Z Return the recommended gain value for the given nonlinearity function. 2025-07-17T07:12:07.5060450Z 2025-07-17T07:12:07.5060554Z The values are as follows: 2025-07-17T07:12:07.5060754Z 2025-07-17T07:12:07.5060867Z ================= ==================================================== 2025-07-17T07:12:07.5061210Z nonlinearity gain 2025-07-17T07:12:07.5061498Z ================= ==================================================== 2025-07-17T07:12:07.5061826Z Linear / Identity :math:`1` 2025-07-17T07:12:07.5062118Z Conv{1,2,3}D :math:`1` 2025-07-17T07:12:07.5062397Z Sigmoid :math:`1` 2025-07-17T07:12:07.5062676Z Tanh :math:`\frac{5}{3}` 2025-07-17T07:12:07.5062996Z ReLU :math:`\sqrt{2}` 2025-07-17T07:12:07.5063391Z Leaky Relu :math:`\sqrt{\frac{2}{1 + \text{negative\_slope}^2}}` 2025-07-17T07:12:07.5063794Z SELU :math:`\frac{3}{4}` 2025-07-17T07:12:07.5064123Z ================= ==================================================== 2025-07-17T07:12:07.5064367Z 2025-07-17T07:12:07.5064476Z .. warning:: 2025-07-17T07:12:07.5064803Z In order to implement `Self-Normalizing Neural Networks`_ , 2025-07-17T07:12:07.5065333Z you should use ``nonlinearity='linear'`` instead of ``nonlinearity='selu'``. 2025-07-17T07:12:07.5065866Z This gives the initial weights a variance of ``1 / N``, 2025-07-17T07:12:07.5066374Z which is necessary to induce a stable fixed point in the forward pass. 2025-07-17T07:12:07.5066932Z In contrast, the default gain for ``SELU`` sacrifices the normalization 2025-07-17T07:12:07.5067486Z effect for more stable gradient flow in rectangular layers. 2025-07-17T07:12:07.5067782Z 2025-07-17T07:12:07.5067876Z Args: 2025-07-17T07:12:07.5068184Z nonlinearity: the non-linear function (`nn.functional` name) 2025-07-17T07:12:07.5068668Z param: optional parameter for the non-linear function 2025-07-17T07:12:07.5068944Z 2025-07-17T07:12:07.5069042Z Examples: 2025-07-17T07:12:07.5069282Z >>> gain = nn.init.calculate_gain( 2025-07-17T07:12:07.5069896Z ... "leaky_relu", 0.2 2025-07-17T07:12:07.5070217Z ... ) # leaky_relu with negative_slope=0.2 2025-07-17T07:12:07.5070453Z 2025-07-17T07:12:07.5070942Z .. _Self-Normalizing Neural Networks: https://papers.nips.cc/paper/2017/hash/5d44ee6f2c3f71b73125876103c8f6c4-Abstract.html 2025-07-17T07:12:07.5071617Z 2025-07-17T07:12:07.5071985Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.5072429Z 2025-07-17T07:12:07.5853885Z msg = Cannot scrape callname=SyncBatchNorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=601. 2025-07-17T07:12:07.5854891Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.5855452Z Applies Batch Normalization over a N-Dimensional input. 2025-07-17T07:12:07.5855757Z 2025-07-17T07:12:07.5856118Z The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper 2025-07-17T07:12:07.5856933Z `Batch Normalization: Accelerating Deep Network Training by Reducing 2025-07-17T07:12:07.5857556Z Internal Covariate Shift `__ . 2025-07-17T07:12:07.5857970Z 2025-07-17T07:12:07.5858074Z .. math:: 2025-07-17T07:12:07.5858294Z 2025-07-17T07:12:07.5858711Z y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta 2025-07-17T07:12:07.5859431Z 2025-07-17T07:12:07.5859659Z The mean and standard-deviation are calculated per-dimension over all 2025-07-17T07:12:07.5860237Z mini-batches of the same process groups. :math:`\gamma` and :math:`\beta` 2025-07-17T07:12:07.5860830Z are learnable parameter vectors of size `C` (where `C` is the input size). 2025-07-17T07:12:07.5861356Z By default, the elements of :math:`\gamma` are sampled from 2025-07-17T07:12:07.5861849Z :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0. 2025-07-17T07:12:07.5862538Z The standard-deviation is calculated via the biased estimator, equivalent to 2025-07-17T07:12:07.5863020Z `torch.var(input, unbiased=False)`. 2025-07-17T07:12:07.5863251Z 2025-07-17T07:12:07.5863484Z Also by default, during training this layer keeps running estimates of its 2025-07-17T07:12:07.5864068Z computed mean and variance, which are then used for normalization during 2025-07-17T07:12:07.5864663Z evaluation. The running estimates are kept with a default :attr:`momentum` 2025-07-17T07:12:07.5865099Z of 0.1. 2025-07-17T07:12:07.5865230Z 2025-07-17T07:12:07.5865453Z If :attr:`track_running_stats` is set to ``False``, this layer then does not 2025-07-17T07:12:07.5866013Z keep running estimates, and batch statistics are instead used during 2025-07-17T07:12:07.5866458Z evaluation time as well. 2025-07-17T07:12:07.5866640Z 2025-07-17T07:12:07.5866726Z .. note:: 2025-07-17T07:12:07.5867081Z This :attr:`momentum` argument is different from one used in optimizer 2025-07-17T07:12:07.5867648Z classes and the conventional notion of momentum. Mathematically, the 2025-07-17T07:12:07.5868107Z update rule for running statistics here is 2025-07-17T07:12:07.5868613Z :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`, 2025-07-17T07:12:07.5869196Z where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the 2025-07-17T07:12:07.5869824Z new observed value. 2025-07-17T07:12:07.5870001Z 2025-07-17T07:12:07.5870301Z Because the Batch Normalization is done for each channel in the ``C`` dimension, computing 2025-07-17T07:12:07.5870977Z statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch 2025-07-17T07:12:07.5871524Z Normalization or Spatio-temporal Batch Normalization. 2025-07-17T07:12:07.5871808Z 2025-07-17T07:12:07.5871949Z Currently :class:`SyncBatchNorm` only supports 2025-07-17T07:12:07.5872497Z :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use 2025-07-17T07:12:07.5873115Z :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert 2025-07-17T07:12:07.5873651Z :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping 2025-07-17T07:12:07.5874059Z Network with DDP. 2025-07-17T07:12:07.5874226Z 2025-07-17T07:12:07.5874308Z Args: 2025-07-17T07:12:07.5874604Z num_features: :math:`C` from an expected input of size 2025-07-17T07:12:07.5875036Z :math:`(N, C, +)` 2025-07-17T07:12:07.5875407Z eps: a value added to the denominator for numerical stability. 2025-07-17T07:12:07.5875814Z Default: ``1e-5`` 2025-07-17T07:12:07.5876189Z momentum: the value used for the running_mean and running_var 2025-07-17T07:12:07.5876694Z computation. Can be set to ``None`` for cumulative moving average 2025-07-17T07:12:07.5877146Z (i.e. simple average). Default: 0.1 2025-07-17T07:12:07.5877585Z affine: a boolean value that when set to ``True``, this module has 2025-07-17T07:12:07.5878042Z learnable affine parameters. Default: ``True`` 2025-07-17T07:12:07.5878516Z track_running_stats: a boolean value that when set to ``True``, this 2025-07-17T07:12:07.5879078Z module tracks the running mean and variance, and when set to ``False``, 2025-07-17T07:12:07.5879653Z this module does not track such statistics, and initializes statistics 2025-07-17T07:12:07.5880229Z buffers :attr:`running_mean` and :attr:`running_var` as ``None``. 2025-07-17T07:12:07.5880776Z When these buffers are ``None``, this module always uses batch statistics. 2025-07-17T07:12:07.5881276Z in both training and eval modes. Default: ``True`` 2025-07-17T07:12:07.5881777Z process_group: synchronization of stats happen within each process group 2025-07-17T07:12:07.5882365Z individually. Default behavior is synchronization across the whole 2025-07-17T07:12:07.5882886Z world 2025-07-17T07:12:07.5883026Z 2025-07-17T07:12:07.5883121Z Shape: 2025-07-17T07:12:07.5883337Z - Input: :math:`(N, C, +)` 2025-07-17T07:12:07.5883683Z - Output: :math:`(N, C, +)` (same shape as input) 2025-07-17T07:12:07.5883936Z 2025-07-17T07:12:07.5884035Z .. note:: 2025-07-17T07:12:07.5884397Z Synchronization of batchnorm statistics occurs only while training, i.e. 2025-07-17T07:12:07.5884963Z synchronization is disabled when ``model.eval()`` is set or if 2025-07-17T07:12:07.5885405Z ``self.training`` is otherwise ``False``. 2025-07-17T07:12:07.5885640Z 2025-07-17T07:12:07.5885740Z Examples:: 2025-07-17T07:12:07.5885869Z 2025-07-17T07:12:07.5885966Z >>> # xdoctest: +SKIP 2025-07-17T07:12:07.5886259Z >>> # With Learnable Parameters 2025-07-17T07:12:07.5886580Z >>> m = nn.SyncBatchNorm(100) 2025-07-17T07:12:07.5886902Z >>> # creating process group (optional) 2025-07-17T07:12:07.5887363Z >>> # ranks is a list of int identifying rank ids. 2025-07-17T07:12:07.5887724Z >>> ranks = list(range(8)) 2025-07-17T07:12:07.5888015Z >>> r1, r2 = ranks[:4], ranks[4:] 2025-07-17T07:12:07.5888376Z >>> # Note: every rank calls into new_group for every 2025-07-17T07:12:07.5888791Z >>> # process group created, even if that rank is not 2025-07-17T07:12:07.5889158Z >>> # part of the group. 2025-07-17T07:12:07.5889586Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2025-07-17T07:12:07.5890160Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2025-07-17T07:12:07.5890594Z >>> # Without Learnable Parameters 2025-07-17T07:12:07.5891007Z >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group) 2025-07-17T07:12:07.5891456Z >>> input = torch.randn(20, 100, 35, 45, 10) 2025-07-17T07:12:07.5891787Z >>> output = m(input) 2025-07-17T07:12:07.5891964Z 2025-07-17T07:12:07.5892079Z >>> # network is nn.BatchNorm layer 2025-07-17T07:12:07.5892578Z >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group) 2025-07-17T07:12:07.5893137Z >>> # only single gpu per process is currently supported 2025-07-17T07:12:07.5893632Z >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel( 2025-07-17T07:12:07.5894071Z >>> sync_bn_network, 2025-07-17T07:12:07.5894478Z >>> device_ids=[args.local_rank], 2025-07-17T07:12:07.5894856Z >>> output_device=args.local_rank) 2025-07-17T07:12:07.5895175Z 2025-07-17T07:12:07.5895544Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.5895924Z 2025-07-17T07:12:07.5896574Z msg = Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=825. 2025-07-17T07:12:07.5897601Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.5898280Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers. 2025-07-17T07:12:07.5898714Z 2025-07-17T07:12:07.5898800Z Args: 2025-07-17T07:12:07.5899272Z module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers 2025-07-17T07:12:07.5899897Z process_group (optional): process group to scope synchronization, 2025-07-17T07:12:07.5900336Z default is the whole world 2025-07-17T07:12:07.5900565Z 2025-07-17T07:12:07.5900651Z Returns: 2025-07-17T07:12:07.5901041Z The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm` 2025-07-17T07:12:07.5901623Z layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer, 2025-07-17T07:12:07.5902169Z a new :class:`torch.nn.SyncBatchNorm` layer object will be returned 2025-07-17T07:12:07.5902644Z instead. 2025-07-17T07:12:07.5902792Z 2025-07-17T07:12:07.5902895Z Example:: 2025-07-17T07:12:07.5903033Z 2025-07-17T07:12:07.5903151Z >>> # Network with nn.BatchNorm layer 2025-07-17T07:12:07.5903526Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-07-17T07:12:07.5903899Z >>> module = torch.nn.Sequential( 2025-07-17T07:12:07.5904239Z >>> torch.nn.Linear(20, 100), 2025-07-17T07:12:07.5904593Z >>> torch.nn.BatchNorm1d(100), 2025-07-17T07:12:07.5904921Z >>> ).cuda() 2025-07-17T07:12:07.5905230Z >>> # creating process group (optional) 2025-07-17T07:12:07.5905597Z >>> # ranks is a list of int identifying rank ids. 2025-07-17T07:12:07.5905953Z >>> ranks = list(range(8)) 2025-07-17T07:12:07.5906267Z >>> r1, r2 = ranks[:4], ranks[4:] 2025-07-17T07:12:07.5906616Z >>> # Note: every rank calls into new_group for every 2025-07-17T07:12:07.5907035Z >>> # process group created, even if that rank is not 2025-07-17T07:12:07.5907405Z >>> # part of the group. 2025-07-17T07:12:07.5907717Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:07.5908195Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2025-07-17T07:12:07.5908771Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2025-07-17T07:12:07.5909393Z >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group) 2025-07-17T07:12:07.5909806Z 2025-07-17T07:12:07.5909889Z 2025-07-17T07:12:07.5910264Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.5910629Z 2025-07-17T07:12:07.6147726Z msg = Cannot scrape callname=Unflatten in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py line=60. 2025-07-17T07:12:07.6148674Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.6149055Z 2025-07-17T07:12:07.6149362Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`. 2025-07-17T07:12:07.6149797Z 2025-07-17T07:12:07.6150066Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can 2025-07-17T07:12:07.6150689Z be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively. 2025-07-17T07:12:07.6151223Z 2025-07-17T07:12:07.6151548Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be 2025-07-17T07:12:07.6152223Z a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input; a `NamedShape` 2025-07-17T07:12:07.6152816Z (tuple of `(name, size)` tuples) for `NamedTensor` input. 2025-07-17T07:12:07.6153108Z 2025-07-17T07:12:07.6153210Z Shape: 2025-07-17T07:12:07.6153552Z - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at 2025-07-17T07:12:07.6154126Z dimension :attr:`dim` and :math:`*` means any number of dimensions including none. 2025-07-17T07:12:07.6154711Z - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and 2025-07-17T07:12:07.6155184Z :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`. 2025-07-17T07:12:07.6155419Z 2025-07-17T07:12:07.6155513Z Args: 2025-07-17T07:12:07.6155846Z dim (Union[int, str]): Dimension to be unflattened 2025-07-17T07:12:07.6156457Z unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension 2025-07-17T07:12:07.6156918Z 2025-07-17T07:12:07.6157020Z Examples: 2025-07-17T07:12:07.6157239Z >>> input = torch.randn(2, 50) 2025-07-17T07:12:07.6157548Z >>> # With tuple of ints 2025-07-17T07:12:07.6157832Z >>> m = nn.Sequential( 2025-07-17T07:12:07.6158101Z >>> nn.Linear(50, 50), 2025-07-17T07:12:07.6158372Z >>> nn.Unflatten(1, (2, 5, 5)) 2025-07-17T07:12:07.6158670Z >>> ) 2025-07-17T07:12:07.6158982Z >>> output = m(input) 2025-07-17T07:12:07.6159236Z >>> output.size() 2025-07-17T07:12:07.6159490Z torch.Size([2, 2, 5, 5]) 2025-07-17T07:12:07.6159765Z >>> # With torch.Size 2025-07-17T07:12:07.6160016Z >>> m = nn.Sequential( 2025-07-17T07:12:07.6160293Z >>> nn.Linear(50, 50), 2025-07-17T07:12:07.6160600Z >>> nn.Unflatten(1, torch.Size([2, 5, 5])) 2025-07-17T07:12:07.6160910Z >>> ) 2025-07-17T07:12:07.6161126Z >>> output = m(input) 2025-07-17T07:12:07.6161386Z >>> output.size() 2025-07-17T07:12:07.6161627Z torch.Size([2, 2, 5, 5]) 2025-07-17T07:12:07.6161923Z >>> # With namedshape (tuple of tuples) 2025-07-17T07:12:07.6162296Z >>> input = torch.randn(2, 50, names=("N", "features")) 2025-07-17T07:12:07.6162751Z >>> unflatten = nn.Unflatten("features", (("C", 2), ("H", 5), ("W", 5))) 2025-07-17T07:12:07.6163183Z >>> output = unflatten(input) 2025-07-17T07:12:07.6163474Z >>> output.size() 2025-07-17T07:12:07.6163728Z torch.Size([2, 2, 5, 5]) 2025-07-17T07:12:07.6163899Z 2025-07-17T07:12:07.6164153Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.6164533Z 2025-07-17T07:12:07.6505623Z msg = Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py line=1718. 2025-07-17T07:12:07.6506821Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.6507412Z Creates a criterion that measures the triplet loss given input 2025-07-17T07:12:07.6507923Z tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor, 2025-07-17T07:12:07.6508433Z positive, and negative examples, respectively), and a nonnegative, 2025-07-17T07:12:07.6509009Z real-valued function ("distance function") used to compute the relationship 2025-07-17T07:12:07.6509603Z between the anchor and positive example ("positive distance") and the 2025-07-17T07:12:07.6510089Z anchor and negative example ("negative distance"). 2025-07-17T07:12:07.6510365Z 2025-07-17T07:12:07.6510569Z The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``) 2025-07-17T07:12:07.6510994Z can be described as: 2025-07-17T07:12:07.6511159Z 2025-07-17T07:12:07.6511274Z .. math:: 2025-07-17T07:12:07.6511530Z \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad 2025-07-17T07:12:07.6511954Z l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\} 2025-07-17T07:12:07.6512388Z 2025-07-17T07:12:07.6512645Z where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function 2025-07-17T07:12:07.6513304Z quantifying the closeness of two tensors, referred to as the :attr:`distance_function`; 2025-07-17T07:12:07.6513945Z and :math:`margin` is a nonnegative margin representing the minimum difference 2025-07-17T07:12:07.6514557Z between the positive and negative distances that is required for the loss to 2025-07-17T07:12:07.6515164Z be 0. The input tensors have :math:`N` elements each and can be of any shape 2025-07-17T07:12:07.6515622Z that the distance function can handle. 2025-07-17T07:12:07.6515861Z 2025-07-17T07:12:07.6515975Z If :attr:`reduction` is not ``'none'`` 2025-07-17T07:12:07.6516303Z (default ``'mean'``), then: 2025-07-17T07:12:07.6516486Z 2025-07-17T07:12:07.6516587Z .. math:: 2025-07-17T07:12:07.6516858Z \ell(x, y) = 2025-07-17T07:12:07.6517113Z \begin{cases} 2025-07-17T07:12:07.6517664Z \operatorname{mean}(L), & \text{if reduction} = \text{`mean';}\\ 2025-07-17T07:12:07.6518447Z \operatorname{sum}(L), & \text{if reduction} = \text{`sum'.} 2025-07-17T07:12:07.6519015Z \end{cases} 2025-07-17T07:12:07.6519227Z 2025-07-17T07:12:07.6519560Z See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet 2025-07-17T07:12:07.6520573Z loss for input tensors using the :math:`l_p` distance as the distance function. 2025-07-17T07:12:07.6521224Z 2025-07-17T07:12:07.6521455Z Args: 2025-07-17T07:12:07.6521857Z distance_function (Callable, optional): A nonnegative, real-valued function that 2025-07-17T07:12:07.6522449Z quantifies the closeness of two tensors. If not specified, 2025-07-17T07:12:07.6522913Z `nn.PairwiseDistance` will be used. Default: ``None`` 2025-07-17T07:12:07.6523471Z margin (float, optional): A nonnegative margin representing the minimum difference 2025-07-17T07:12:07.6524136Z between the positive and negative distances required for the loss to be 0. Larger 2025-07-17T07:12:07.6524802Z margins penalize cases where the negative examples are not distant enough from the 2025-07-17T07:12:07.6525360Z anchors, relative to the positives. Default: :math:`1`. 2025-07-17T07:12:07.6525892Z swap (bool, optional): Whether to use the distance swap described in the paper 2025-07-17T07:12:07.6526523Z `Learning shallow convolutional feature descriptors with triplet losses` by 2025-07-17T07:12:07.6527123Z V. Balntas, E. Riba et al. If True, and if the positive example is closer to the 2025-07-17T07:12:07.6527738Z negative example than the anchor is, swaps the positive example and the anchor in 2025-07-17T07:12:07.6528260Z the loss computation. Default: ``False``. 2025-07-17T07:12:07.6528784Z reduction (str, optional): Specifies the (optional) reduction to apply to the output: 2025-07-17T07:12:07.6529359Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2025-07-17T07:12:07.6529844Z ``'mean'``: the sum of the output will be divided by the number of 2025-07-17T07:12:07.6530381Z elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'`` 2025-07-17T07:12:07.6530736Z 2025-07-17T07:12:07.6530740Z 2025-07-17T07:12:07.6530835Z Shape: 2025-07-17T07:12:07.6531196Z - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions 2025-07-17T07:12:07.6531685Z as supported by the distance function. 2025-07-17T07:12:07.6532172Z - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar 2025-07-17T07:12:07.6532621Z otherwise. 2025-07-17T07:12:07.6532781Z 2025-07-17T07:12:07.6532866Z Examples: 2025-07-17T07:12:07.6533005Z 2025-07-17T07:12:07.6533107Z >>> # Initialize embeddings 2025-07-17T07:12:07.6533413Z >>> embedding = nn.Embedding(1000, 128) 2025-07-17T07:12:07.6533788Z >>> anchor_ids = torch.randint(0, 1000, (1,)) 2025-07-17T07:12:07.6534151Z >>> positive_ids = torch.randint(0, 1000, (1,)) 2025-07-17T07:12:07.6534515Z >>> negative_ids = torch.randint(0, 1000, (1,)) 2025-07-17T07:12:07.6534855Z >>> anchor = embedding(anchor_ids) 2025-07-17T07:12:07.6535193Z >>> positive = embedding(positive_ids) 2025-07-17T07:12:07.6535536Z >>> negative = embedding(negative_ids) 2025-07-17T07:12:07.6535832Z >>> 2025-07-17T07:12:07.6536059Z >>> # Built-in Distance Function 2025-07-17T07:12:07.6536366Z >>> triplet_loss = \ 2025-07-17T07:12:07.6536801Z >>> nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance()) 2025-07-17T07:12:07.6537354Z >>> output = triplet_loss(anchor, positive, negative) 2025-07-17T07:12:07.6537719Z >>> output.backward() 2025-07-17T07:12:07.6537973Z >>> 2025-07-17T07:12:07.6538214Z >>> # Custom Distance Function 2025-07-17T07:12:07.6538518Z >>> def l_infinity(x1, x2): 2025-07-17T07:12:07.6538858Z >>> return torch.max(torch.abs(x1 - x2), dim=1).values 2025-07-17T07:12:07.6539317Z >>> 2025-07-17T07:12:07.6539624Z >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time") 2025-07-17T07:12:07.6540029Z >>> triplet_loss = ( 2025-07-17T07:12:07.6540467Z >>> nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5)) 2025-07-17T07:12:07.6541030Z >>> output = triplet_loss(anchor, positive, negative) 2025-07-17T07:12:07.6541469Z >>> output.backward() 2025-07-17T07:12:07.6541712Z >>> 2025-07-17T07:12:07.6541944Z >>> # Custom Distance Function (Lambda) 2025-07-17T07:12:07.6542261Z >>> triplet_loss = ( 2025-07-17T07:12:07.6542558Z >>> nn.TripletMarginWithDistanceLoss( 2025-07-17T07:12:07.6543001Z >>> distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y))) 2025-07-17T07:12:07.6543484Z >>> output = triplet_loss(anchor, positive, negative) 2025-07-17T07:12:07.6543850Z >>> output.backward() 2025-07-17T07:12:07.6544015Z 2025-07-17T07:12:07.6544100Z Reference: 2025-07-17T07:12:07.6544533Z V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses: 2025-07-17T07:12:07.6545188Z https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html 2025-07-17T07:12:07.6545603Z 2025-07-17T07:12:07.6545957Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17)) 2025-07-17T07:12:07.6546337Z 2025-07-17T07:12:07.6546891Z msg = Cannot scrape callname=CTCLoss in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py line=1852. 2025-07-17T07:12:07.6547741Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.6548266Z The Connectionist Temporal Classification loss. 2025-07-17T07:12:07.6548517Z 2025-07-17T07:12:07.6548908Z Calculates loss between a continuous (unsegmented) time series and a target sequence. CTCLoss sums over the 2025-07-17T07:12:07.6549752Z probability of possible alignments of input to target, producing a loss value which is differentiable 2025-07-17T07:12:07.6550562Z with respect to each input node. The alignment of input to target is assumed to be "many-to-one", which 2025-07-17T07:12:07.6551314Z limits the length of the target sequence such that it must be :math:`\leq` the input length. 2025-07-17T07:12:07.6551724Z 2025-07-17T07:12:07.6551818Z Args: 2025-07-17T07:12:07.6552095Z blank (int, optional): blank label. Default :math:`0`. 2025-07-17T07:12:07.6552613Z reduction (str, optional): Specifies the reduction to apply to the output: 2025-07-17T07:12:07.6553161Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2025-07-17T07:12:07.6553667Z ``'mean'``: the output losses will be divided by the target lengths and 2025-07-17T07:12:07.6554226Z then the mean over the batch is taken, ``'sum'``: the output losses will be summed. 2025-07-17T07:12:07.6554734Z Default: ``'mean'`` 2025-07-17T07:12:07.6555028Z zero_infinity (bool, optional): 2025-07-17T07:12:07.6555429Z Whether to zero infinite losses and the associated gradients. 2025-07-17T07:12:07.6555841Z Default: ``False`` 2025-07-17T07:12:07.6556217Z Infinite losses mainly occur when the inputs are too short 2025-07-17T07:12:07.6556621Z to be aligned to the targets. 2025-07-17T07:12:07.6556848Z 2025-07-17T07:12:07.6556935Z Shape: 2025-07-17T07:12:07.6557254Z - Log_probs: Tensor of size :math:`(T, N, C)` or :math:`(T, C)`, 2025-07-17T07:12:07.6557682Z where :math:`T = \text{input length}`, 2025-07-17T07:12:07.6558018Z :math:`N = \text{batch size}`, and 2025-07-17T07:12:07.6558404Z :math:`C = \text{number of classes (including blank)}`. 2025-07-17T07:12:07.6558904Z The logarithmized probabilities of the outputs (e.g. obtained with 2025-07-17T07:12:07.6559436Z :func:`torch.nn.functional.log_softmax`). 2025-07-17T07:12:07.6559816Z - Targets: Tensor of size :math:`(N, S)` or 2025-07-17T07:12:07.6560220Z :math:`(\operatorname{sum}(\text{target\_lengths}))`, 2025-07-17T07:12:07.6560617Z where :math:`N = \text{batch size}` and 2025-07-17T07:12:07.6561005Z :math:`S = \text{max target length, if shape is } (N, S)`. 2025-07-17T07:12:07.6561484Z It represents the target sequences. Each element in the target 2025-07-17T07:12:07.6562101Z sequence is a class index. And the target index cannot be blank (default=0). 2025-07-17T07:12:07.6576264Z In the :math:`(N, S)` form, targets are padded to the 2025-07-17T07:12:07.6576733Z length of the longest sequence, and stacked. 2025-07-17T07:12:07.6577224Z In the :math:`(\operatorname{sum}(\text{target\_lengths}))` form, 2025-07-17T07:12:07.6577694Z the targets are assumed to be un-padded and 2025-07-17T07:12:07.6578059Z concatenated within 1 dimension. 2025-07-17T07:12:07.6578498Z - Input_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`, 2025-07-17T07:12:07.6579028Z where :math:`N = \text{batch size}`. It represents the lengths of the 2025-07-17T07:12:07.6579636Z inputs (must each be :math:`\leq T`). And the lengths are specified 2025-07-17T07:12:07.6580178Z for each sequence to achieve masking under the assumption that sequences 2025-07-17T07:12:07.6580655Z are padded to equal lengths. 2025-07-17T07:12:07.6581086Z - Target_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`, 2025-07-17T07:12:07.6581618Z where :math:`N = \text{batch size}`. It represents lengths of the targets. 2025-07-17T07:12:07.6582177Z Lengths are specified for each sequence to achieve masking under the 2025-07-17T07:12:07.6582763Z assumption that sequences are padded to equal lengths. If target shape is 2025-07-17T07:12:07.6583309Z :math:`(N,S)`, target_lengths are effectively the stop index 2025-07-17T07:12:07.6583839Z :math:`s_n` for each target sequence, such that ``target_n = targets[n,0:s_n]`` for 2025-07-17T07:12:07.6584394Z each target in a batch. Lengths must each be :math:`\leq S` 2025-07-17T07:12:07.6584934Z If the targets are given as a 1d tensor that is the concatenation of individual 2025-07-17T07:12:07.6585542Z targets, the target_lengths must add up to the total length of the tensor. 2025-07-17T07:12:07.6586081Z - Output: scalar if :attr:`reduction` is ``'mean'`` (default) or 2025-07-17T07:12:07.6586624Z ``'sum'``. If :attr:`reduction` is ``'none'``, then :math:`(N)` if input is batched or 2025-07-17T07:12:07.6587178Z :math:`()` if input is unbatched, where :math:`N = \text{batch size}`. 2025-07-17T07:12:07.6587491Z 2025-07-17T07:12:07.6587579Z Examples: 2025-07-17T07:12:07.6587727Z 2025-07-17T07:12:07.6587832Z >>> # Target are to be padded 2025-07-17T07:12:07.6588294Z >>> T = 50 # Input sequence length 2025-07-17T07:12:07.6588651Z >>> C = 20 # Number of classes (including blank) 2025-07-17T07:12:07.6588982Z >>> N = 16 # Batch size 2025-07-17T07:12:07.6589394Z >>> S = 30 # Target sequence length of longest target in batch (padding length) 2025-07-17T07:12:07.6589926Z >>> S_min = 10 # Minimum target length, for demonstration purposes 2025-07-17T07:12:07.6590298Z >>> 2025-07-17T07:12:07.6590624Z >>> # Initialize random batch of input vectors, for *size = (T,N,C) 2025-07-17T07:12:07.6591150Z >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_() 2025-07-17T07:12:07.6591566Z >>> 2025-07-17T07:12:07.6591870Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-07-17T07:12:07.6592396Z >>> target = torch.randint(low=1, high=C, size=(N, S), dtype=torch.long) 2025-07-17T07:12:07.6592872Z >>> 2025-07-17T07:12:07.6593201Z >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long) 2025-07-17T07:12:07.6593656Z >>> target_lengths = torch.randint( 2025-07-17T07:12:07.6593979Z ... low=S_min, 2025-07-17T07:12:07.6594226Z ... high=S, 2025-07-17T07:12:07.6594477Z ... size=(N,), 2025-07-17T07:12:07.6594752Z ... dtype=torch.long, 2025-07-17T07:12:07.6595018Z ... ) 2025-07-17T07:12:07.6595251Z >>> ctc_loss = nn.CTCLoss() 2025-07-17T07:12:07.6595722Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-07-17T07:12:07.6596129Z >>> loss.backward() 2025-07-17T07:12:07.6596383Z >>> 2025-07-17T07:12:07.6596589Z >>> 2025-07-17T07:12:07.6596825Z >>> # Target are to be un-padded 2025-07-17T07:12:07.6597141Z >>> T = 50 # Input sequence length 2025-07-17T07:12:07.6597495Z >>> C = 20 # Number of classes (including blank) 2025-07-17T07:12:07.6597843Z >>> N = 16 # Batch size 2025-07-17T07:12:07.6598101Z >>> 2025-07-17T07:12:07.6598421Z >>> # Initialize random batch of input vectors, for *size = (T,N,C) 2025-07-17T07:12:07.6598944Z >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_() 2025-07-17T07:12:07.6599475Z >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long) 2025-07-17T07:12:07.6599900Z >>> 2025-07-17T07:12:07.6600219Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-07-17T07:12:07.6600774Z >>> target_lengths = torch.randint(low=1, high=T, size=(N,), dtype=torch.long) 2025-07-17T07:12:07.6601222Z >>> target = torch.randint( 2025-07-17T07:12:07.6601513Z ... low=1, 2025-07-17T07:12:07.6601756Z ... high=C, 2025-07-17T07:12:07.6602011Z ... size=(sum(target_lengths),), 2025-07-17T07:12:07.6602336Z ... dtype=torch.long, 2025-07-17T07:12:07.6602618Z ... ) 2025-07-17T07:12:07.6602841Z >>> ctc_loss = nn.CTCLoss() 2025-07-17T07:12:07.6603226Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-07-17T07:12:07.6603631Z >>> loss.backward() 2025-07-17T07:12:07.6603878Z >>> 2025-07-17T07:12:07.6604083Z >>> 2025-07-17T07:12:07.6604393Z >>> # Target are to be un-padded and unbatched (effectively N=1) 2025-07-17T07:12:07.6604803Z >>> T = 50 # Input sequence length 2025-07-17T07:12:07.6605143Z >>> C = 20 # Number of classes (including blank) 2025-07-17T07:12:07.6605474Z >>> 2025-07-17T07:12:07.6605793Z >>> # Initialize random batch of input vectors, for *size = (T,C) 2025-07-17T07:12:07.6606229Z >>> # xdoctest: +SKIP("FIXME: error in doctest") 2025-07-17T07:12:07.6606677Z >>> input = torch.randn(T, C).log_softmax(1).detach().requires_grad_() 2025-07-17T07:12:07.6607152Z >>> input_lengths = torch.tensor(T, dtype=torch.long) 2025-07-17T07:12:07.6607497Z >>> 2025-07-17T07:12:07.6607857Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-07-17T07:12:07.6608404Z >>> target_lengths = torch.randint(low=1, high=T, size=(), dtype=torch.long) 2025-07-17T07:12:07.6608863Z >>> target = torch.randint( 2025-07-17T07:12:07.6609143Z ... low=1, 2025-07-17T07:12:07.6609384Z ... high=C, 2025-07-17T07:12:07.6609645Z ... size=(target_lengths,), 2025-07-17T07:12:07.6609945Z ... dtype=torch.long, 2025-07-17T07:12:07.6610222Z ... ) 2025-07-17T07:12:07.6610458Z >>> ctc_loss = nn.CTCLoss() 2025-07-17T07:12:07.6610831Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-07-17T07:12:07.6611234Z >>> loss.backward() 2025-07-17T07:12:07.6611406Z 2025-07-17T07:12:07.6611506Z Reference: 2025-07-17T07:12:07.6611806Z A. Graves et al.: Connectionist Temporal Classification: 2025-07-17T07:12:07.6612360Z Labelling Unsegmented Sequence Data with Recurrent Neural Networks: 2025-07-17T07:12:07.6612876Z https://www.cs.toronto.edu/~graves/icml_2006.pdf 2025-07-17T07:12:07.6613139Z 2025-07-17T07:12:07.6613233Z Note: 2025-07-17T07:12:07.6613581Z In order to use CuDNN, the following must be satisfied: :attr:`targets` must be 2025-07-17T07:12:07.6614195Z in concatenated format, all :attr:`input_lengths` must be `T`. :math:`blank=0`, 2025-07-17T07:12:07.6614789Z :attr:`target_lengths` :math:`\leq 256`, the integer arguments must be of 2025-07-17T07:12:07.6615293Z dtype :attr:`torch.int32`. 2025-07-17T07:12:07.6615492Z 2025-07-17T07:12:07.6615762Z The regular implementation uses the (more common in PyTorch) `torch.long` dtype. 2025-07-17T07:12:07.6616161Z 2025-07-17T07:12:07.6616165Z 2025-07-17T07:12:07.6616247Z Note: 2025-07-17T07:12:07.6616617Z In some circumstances when using the CUDA backend with CuDNN, this operator 2025-07-17T07:12:07.6617235Z may select a nondeterministic algorithm to increase performance. If this is 2025-07-17T07:12:07.6617860Z undesirable, you can try to make the operation deterministic (potentially at 2025-07-17T07:12:07.6618467Z a performance cost) by setting ``torch.backends.cudnn.deterministic = 2025-07-17T07:12:07.6618903Z True``. 2025-07-17T07:12:07.6619307Z Please see the notes on :doc:`/notes/randomness` for background. 2025-07-17T07:12:07.6619713Z 2025-07-17T07:12:07.6620081Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.6620456Z 2025-07-17T07:12:07.7102534Z msg = Cannot scrape callname=MaxUnpool2d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py line=406. 2025-07-17T07:12:07.7103464Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.7104002Z Computes a partial inverse of :class:`MaxPool2d`. 2025-07-17T07:12:07.7104281Z 2025-07-17T07:12:07.7104555Z :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost. 2025-07-17T07:12:07.7104944Z 2025-07-17T07:12:07.7105182Z :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d` 2025-07-17T07:12:07.7105756Z including the indices of the maximal values and computes a partial inverse 2025-07-17T07:12:07.7106261Z in which all non-maximal values are set to zero. 2025-07-17T07:12:07.7106513Z 2025-07-17T07:12:07.7106610Z Note: 2025-07-17T07:12:07.7107045Z This operation may behave nondeterministically when the input indices has repeat values. 2025-07-17T07:12:07.7107871Z See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information. 2025-07-17T07:12:07.7108373Z 2025-07-17T07:12:07.7108613Z .. note:: :class:`MaxPool2d` can map several input sizes to the same output 2025-07-17T07:12:07.7109128Z sizes. Hence, the inversion process can get ambiguous. 2025-07-17T07:12:07.7109596Z To accommodate this, you can provide the needed output size 2025-07-17T07:12:07.7110302Z as an additional argument :attr:`output_size` in the forward call. 2025-07-17T07:12:07.7110758Z See the Inputs and Example below. 2025-07-17T07:12:07.7110987Z 2025-07-17T07:12:07.7111086Z Args: 2025-07-17T07:12:07.7111383Z kernel_size (int or tuple): Size of the max pooling window. 2025-07-17T07:12:07.7111859Z stride (int or tuple): Stride of the max pooling window. 2025-07-17T07:12:07.7112287Z It is set to :attr:`kernel_size` by default. 2025-07-17T07:12:07.7112704Z padding (int or tuple): Padding that was added to the input 2025-07-17T07:12:07.7113008Z 2025-07-17T07:12:07.7113092Z Inputs: 2025-07-17T07:12:07.7113339Z - `input`: the input Tensor to invert 2025-07-17T07:12:07.7113770Z - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d` 2025-07-17T07:12:07.7114238Z - `output_size` (optional): the targeted output size 2025-07-17T07:12:07.7114574Z 2025-07-17T07:12:07.7114657Z Shape: 2025-07-17T07:12:07.7114963Z - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`. 2025-07-17T07:12:07.7115461Z - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where 2025-07-17T07:12:07.7115804Z 2025-07-17T07:12:07.7115895Z .. math:: 2025-07-17T07:12:07.7116304Z H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]} 2025-07-17T07:12:07.7116712Z 2025-07-17T07:12:07.7116904Z .. math:: 2025-07-17T07:12:07.7117286Z W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]} 2025-07-17T07:12:07.7117674Z 2025-07-17T07:12:07.7117835Z or as given by :attr:`output_size` in the call operator 2025-07-17T07:12:07.7118124Z 2025-07-17T07:12:07.7118214Z Example:: 2025-07-17T07:12:07.7118341Z 2025-07-17T07:12:07.7118519Z >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True) 2025-07-17T07:12:07.7118914Z >>> unpool = nn.MaxUnpool2d(2, stride=2) 2025-07-17T07:12:07.7119281Z >>> input = torch.tensor([[[[ 1., 2., 3., 4.], 2025-07-17T07:12:07.7119635Z [ 5., 6., 7., 8.], 2025-07-17T07:12:07.7119968Z [ 9., 10., 11., 12.], 2025-07-17T07:12:07.7120284Z [13., 14., 15., 16.]]]]) 2025-07-17T07:12:07.7120624Z >>> output, indices = pool(input) 2025-07-17T07:12:07.7120956Z >>> unpool(output, indices) 2025-07-17T07:12:07.7121251Z tensor([[[[ 0., 0., 0., 0.], 2025-07-17T07:12:07.7121559Z [ 0., 6., 0., 8.], 2025-07-17T07:12:07.7121857Z [ 0., 0., 0., 0.], 2025-07-17T07:12:07.7122145Z [ 0., 14., 0., 16.]]]]) 2025-07-17T07:12:07.7122563Z >>> # Now using output_size to resolve an ambiguous size for the inverse 2025-07-17T07:12:07.7123035Z >>> input = torch.tensor([[[[ 1., 2., 3., 4., 5.], 2025-07-17T07:12:07.7123404Z [ 6., 7., 8., 9., 10.], 2025-07-17T07:12:07.7123728Z [11., 12., 13., 14., 15.], 2025-07-17T07:12:07.7124076Z [16., 17., 18., 19., 20.]]]]) 2025-07-17T07:12:07.7124421Z >>> output, indices = pool(input) 2025-07-17T07:12:07.7124802Z >>> # This call will not work without specifying output_size 2025-07-17T07:12:07.7125253Z >>> unpool(output, indices, output_size=input.size()) 2025-07-17T07:12:07.7125629Z tensor([[[[ 0., 0., 0., 0., 0.], 2025-07-17T07:12:07.7125924Z [ 0., 7., 0., 9., 0.], 2025-07-17T07:12:07.7126226Z [ 0., 0., 0., 0., 0.], 2025-07-17T07:12:07.7126530Z [ 0., 17., 0., 19., 0.]]]]) 2025-07-17T07:12:07.7126739Z 2025-07-17T07:12:07.7126746Z 2025-07-17T07:12:07.7126840Z 2025-07-17T07:12:07.7127191Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.7127636Z 2025-07-17T07:12:07.7389752Z msg = Cannot scrape callname=EmbeddingBag in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py line=272. 2025-07-17T07:12:07.7390890Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.7391593Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings. 2025-07-17T07:12:07.7392028Z 2025-07-17T07:12:07.7392373Z For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`, 2025-07-17T07:12:07.7392924Z and with 2D inputs, this class 2025-07-17T07:12:07.7393138Z 2025-07-17T07:12:07.7393440Z * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``, 2025-07-17T07:12:07.7394170Z * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``, 2025-07-17T07:12:07.7395041Z * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``. 2025-07-17T07:12:07.7395468Z 2025-07-17T07:12:07.7395818Z However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these 2025-07-17T07:12:07.7396384Z operations. 2025-07-17T07:12:07.7396520Z 2025-07-17T07:12:07.7396790Z EmbeddingBag also supports per-sample weights as an argument to the forward 2025-07-17T07:12:07.7397493Z pass. This scales the output of the Embedding before performing a weighted 2025-07-17T07:12:07.7398104Z reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the 2025-07-17T07:12:07.7398714Z only supported ``mode`` is ``"sum"``, which computes a weighted sum according to 2025-07-17T07:12:07.7399179Z :attr:`per_sample_weights`. 2025-07-17T07:12:07.7399367Z 2025-07-17T07:12:07.7399451Z Args: 2025-07-17T07:12:07.7399756Z num_embeddings (int): size of the dictionary of embeddings 2025-07-17T07:12:07.7400227Z embedding_dim (int): the size of each embedding vector 2025-07-17T07:12:07.7400809Z max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm` 2025-07-17T07:12:07.7401398Z is renormalized to have norm :attr:`max_norm`. 2025-07-17T07:12:07.7402008Z norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``. 2025-07-17T07:12:07.7402795Z scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of 2025-07-17T07:12:07.7403413Z the words in the mini-batch. Default ``False``. 2025-07-17T07:12:07.7403878Z Note: this option is not supported when ``mode="max"``. 2025-07-17T07:12:07.7404432Z mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag. 2025-07-17T07:12:07.7405021Z ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights` 2025-07-17T07:12:07.7405565Z into consideration. ``"mean"`` computes the average of the values 2025-07-17T07:12:07.7406075Z in the bag, ``"max"`` computes the max value over each bag. 2025-07-17T07:12:07.7406485Z Default: ``"mean"`` 2025-07-17T07:12:07.7407031Z sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See 2025-07-17T07:12:07.7407715Z Notes for more details regarding sparse gradients. Note: this option is not 2025-07-17T07:12:07.7408222Z supported when ``mode="max"``. 2025-07-17T07:12:07.7408833Z include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element 2025-07-17T07:12:07.7409595Z is equivalent to the size of `indices`. This matches the CSR format. 2025-07-17T07:12:07.7410253Z padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the 2025-07-17T07:12:07.7410978Z gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated 2025-07-17T07:12:07.7411633Z during training, i.e. it remains as a fixed "pad". For a newly constructed 2025-07-17T07:12:07.7412269Z EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all 2025-07-17T07:12:07.7412891Z zeros, but can be updated to another value to be used as the padding vector. 2025-07-17T07:12:07.7413504Z Note that the embedding vector at :attr:`padding_idx` is excluded from the 2025-07-17T07:12:07.7414010Z reduction. 2025-07-17T07:12:07.7414222Z 2025-07-17T07:12:07.7414310Z Attributes: 2025-07-17T07:12:07.7414762Z weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)` 2025-07-17T07:12:07.7415338Z initialized from :math:`\mathcal{N}(0, 1)`. 2025-07-17T07:12:07.7415591Z 2025-07-17T07:12:07.7415709Z Examples:: 2025-07-17T07:12:07.7415842Z 2025-07-17T07:12:07.7416069Z >>> # an EmbeddingBag module containing 10 tensors of size 3 2025-07-17T07:12:07.7416511Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum') 2025-07-17T07:12:07.7416909Z >>> # a batch of 2 samples of 4 indices each 2025-07-17T07:12:07.7417332Z >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long) 2025-07-17T07:12:07.7417770Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2025-07-17T07:12:07.7418177Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-07-17T07:12:07.7418549Z >>> embedding_sum(input, offsets) 2025-07-17T07:12:07.7418875Z tensor([[-0.8861, -5.4350, -0.0523], 2025-07-17T07:12:07.7419290Z [ 1.1306, -2.5798, -1.0044]]) 2025-07-17T07:12:07.7419498Z 2025-07-17T07:12:07.7419621Z >>> # Example with padding_idx 2025-07-17T07:12:07.7420030Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2) 2025-07-17T07:12:07.7420542Z >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long) 2025-07-17T07:12:07.7421003Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2025-07-17T07:12:07.7421373Z >>> embedding_sum(input, offsets) 2025-07-17T07:12:07.7421683Z tensor([[ 0.0000, 0.0000, 0.0000], 2025-07-17T07:12:07.7421991Z [-0.7082, 3.2145, -2.6251]]) 2025-07-17T07:12:07.7422195Z 2025-07-17T07:12:07.7422375Z >>> # An EmbeddingBag can be loaded from an Embedding like so 2025-07-17T07:12:07.7422800Z >>> embedding = nn.Embedding(10, 3, padding_idx=2) 2025-07-17T07:12:07.7423217Z >>> embedding_sum = nn.EmbeddingBag.from_pretrained( 2025-07-17T07:12:07.7423592Z embedding.weight, 2025-07-17T07:12:07.7423916Z padding_idx=embedding.padding_idx, 2025-07-17T07:12:07.7424240Z mode='sum') 2025-07-17T07:12:07.7424495Z 2025-07-17T07:12:07.7424859Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.7425223Z 2025-07-17T07:12:07.7469705Z msg = Cannot scrape callname=Transformer.forward in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py line=186. 2025-07-17T07:12:07.7470851Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.7471382Z Take in and process masked source/target sequences. 2025-07-17T07:12:07.7471640Z 2025-07-17T07:12:07.7471751Z .. note:: 2025-07-17T07:12:07.7471890Z 2025-07-17T07:12:07.7472311Z If a boolean tensor is provided for any of the [src/tgt/memory]_mask arguments, positions with a ``True`` value are 2025-07-17T07:12:07.7473054Z not allowed to participate in the attention, 2025-07-17T07:12:07.7473502Z which is the opposite of the definition for :attr:`attn_mask` 2025-07-17T07:12:07.7474003Z in :func:`torch.nn.functional.scaled_dot_product_attention`. 2025-07-17T07:12:07.7474304Z 2025-07-17T07:12:07.7474397Z Args: 2025-07-17T07:12:07.7474663Z src: the sequence to the encoder (required). 2025-07-17T07:12:07.7475048Z tgt: the sequence to the decoder (required). 2025-07-17T07:12:07.7475480Z src_mask: the additive mask for the src sequence (optional). 2025-07-17T07:12:07.7475949Z tgt_mask: the additive mask for the tgt sequence (optional). 2025-07-17T07:12:07.7476458Z memory_mask: the additive mask for the encoder output (optional). 2025-07-17T07:12:07.7477067Z src_key_padding_mask: the Tensor mask for src keys per batch (optional). 2025-07-17T07:12:07.7477645Z tgt_key_padding_mask: the Tensor mask for tgt keys per batch (optional). 2025-07-17T07:12:07.7478235Z memory_key_padding_mask: the Tensor mask for memory keys per batch (optional). 2025-07-17T07:12:07.7478816Z src_is_causal: If specified, applies a causal mask as ``src_mask``. 2025-07-17T07:12:07.7479289Z Default: ``None``; try to detect a causal mask. 2025-07-17T07:12:07.7479629Z Warning: 2025-07-17T07:12:07.7480031Z ``src_is_causal`` provides a hint that ``src_mask`` is 2025-07-17T07:12:07.7480500Z the causal mask. Providing incorrect hints can result in 2025-07-17T07:12:07.7480958Z incorrect execution, including forward and backward 2025-07-17T07:12:07.7481328Z compatibility. 2025-07-17T07:12:07.7481720Z tgt_is_causal: If specified, applies a causal mask as ``tgt_mask``. 2025-07-17T07:12:07.7482197Z Default: ``None``; try to detect a causal mask. 2025-07-17T07:12:07.7482534Z Warning: 2025-07-17T07:12:07.7482857Z ``tgt_is_causal`` provides a hint that ``tgt_mask`` is 2025-07-17T07:12:07.7483309Z the causal mask. Providing incorrect hints can result in 2025-07-17T07:12:07.7483751Z incorrect execution, including forward and backward 2025-07-17T07:12:07.7484132Z compatibility. 2025-07-17T07:12:07.7484501Z memory_is_causal: If specified, applies a causal mask as 2025-07-17T07:12:07.7484889Z ``memory_mask``. 2025-07-17T07:12:07.7485164Z Default: ``False``. 2025-07-17T07:12:07.7485450Z Warning: 2025-07-17T07:12:07.7485743Z ``memory_is_causal`` provides a hint that 2025-07-17T07:12:07.7486139Z ``memory_mask`` is the causal mask. Providing incorrect 2025-07-17T07:12:07.7486581Z hints can result in incorrect execution, including 2025-07-17T07:12:07.7486981Z forward and backward compatibility. 2025-07-17T07:12:07.7487216Z 2025-07-17T07:12:07.7487299Z Shape: 2025-07-17T07:12:07.7487679Z - src: :math:`(S, E)` for unbatched input, :math:`(S, N, E)` if `batch_first=False` or 2025-07-17T07:12:07.7488155Z `(N, S, E)` if `batch_first=True`. 2025-07-17T07:12:07.7488620Z - tgt: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or 2025-07-17T07:12:07.7489083Z `(N, T, E)` if `batch_first=True`. 2025-07-17T07:12:07.7489496Z - src_mask: :math:`(S, S)` or :math:`(N\cdot\text{num\_heads}, S, S)`. 2025-07-17T07:12:07.7489991Z - tgt_mask: :math:`(T, T)` or :math:`(N\cdot\text{num\_heads}, T, T)`. 2025-07-17T07:12:07.7490399Z - memory_mask: :math:`(T, S)`. 2025-07-17T07:12:07.7490859Z - src_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`. 2025-07-17T07:12:07.7491514Z - tgt_key_padding_mask: :math:`(T)` for unbatched input otherwise :math:`(N, T)`. 2025-07-17T07:12:07.7492130Z - memory_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`. 2025-07-17T07:12:07.7492498Z 2025-07-17T07:12:07.7492808Z Note: [src/tgt/memory]_mask ensures that position :math:`i` is allowed to attend the unmasked 2025-07-17T07:12:07.7493451Z positions. If a BoolTensor is provided, positions with ``True`` 2025-07-17T07:12:07.7494040Z are not allowed to attend while ``False`` values will be unchanged. If a FloatTensor 2025-07-17T07:12:07.7494587Z is provided, it will be added to the attention weight. 2025-07-17T07:12:07.7495157Z [src/tgt/memory]_key_padding_mask provides specified elements in the key to be ignored by 2025-07-17T07:12:07.7495789Z the attention. If a BoolTensor is provided, the positions with the 2025-07-17T07:12:07.7496455Z value of ``True`` will be ignored while the position with the value of ``False`` will be unchanged. 2025-07-17T07:12:07.7496881Z 2025-07-17T07:12:07.7497145Z - output: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or 2025-07-17T07:12:07.7497627Z `(N, T, E)` if `batch_first=True`. 2025-07-17T07:12:07.7497861Z 2025-07-17T07:12:07.7498100Z Note: Due to the multi-head attention architecture in the transformer model, 2025-07-17T07:12:07.7498847Z the output sequence length of a transformer is same as the input sequence 2025-07-17T07:12:07.7499398Z (i.e. target) length of the decoder. 2025-07-17T07:12:07.7499638Z 2025-07-17T07:12:07.7499959Z where :math:`S` is the source sequence length, :math:`T` is the target sequence length, :math:`N` is the 2025-07-17T07:12:07.7500533Z batch size, :math:`E` is the feature number 2025-07-17T07:12:07.7500778Z 2025-07-17T07:12:07.7500879Z Examples: 2025-07-17T07:12:07.7501113Z >>> # xdoctest: +SKIP 2025-07-17T07:12:07.7501425Z >>> output = transformer_model( 2025-07-17T07:12:07.7501795Z ... src, tgt, src_mask=src_mask, tgt_mask=tgt_mask 2025-07-17T07:12:07.7502133Z ... ) 2025-07-17T07:12:07.7502356Z 2025-07-17T07:12:07.7502724Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.7503090Z 2025-07-17T07:12:07.7776719Z msg = Cannot scrape callname=DistributedDataParallel.join in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=1766. 2025-07-17T07:12:07.7777754Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.7778150Z 2025-07-17T07:12:07.7778384Z Context manager for training with uneven inputs across processes in DDP. 2025-07-17T07:12:07.7778744Z 2025-07-17T07:12:07.7778963Z This context manager will keep track of already-joined DDP processes, 2025-07-17T07:12:07.7779593Z and "shadow" the forward and backward passes by inserting collective 2025-07-17T07:12:07.7780140Z communication operations to match with the ones created by non-joined 2025-07-17T07:12:07.7780723Z DDP processes. This will ensure each collective call has a corresponding 2025-07-17T07:12:07.7781296Z call by already-joined DDP processes, preventing hangs or errors that 2025-07-17T07:12:07.7781837Z would otherwise happen when training with uneven inputs across 2025-07-17T07:12:07.7782383Z processes. Alternatively, if the flag ``throw_on_early_termination`` is 2025-07-17T07:12:07.7782947Z specified to be ``True``, all trainers will throw an error once one rank 2025-07-17T07:12:07.7783498Z runs out of inputs, allowing these errors to be caught and handled 2025-07-17T07:12:07.7783925Z according to application logic. 2025-07-17T07:12:07.7784122Z 2025-07-17T07:12:07.7784338Z Once all DDP processes have joined, the context manager will broadcast 2025-07-17T07:12:07.7784898Z the model corresponding to the last joined process to all processes to 2025-07-17T07:12:07.7785552Z ensure the model is the same across all processes 2025-07-17T07:12:07.7785919Z (which is guaranteed by DDP). 2025-07-17T07:12:07.7786104Z 2025-07-17T07:12:07.7786304Z To use this to enable training with uneven inputs across processes, 2025-07-17T07:12:07.7786842Z simply wrap this context manager around your training loop. No further 2025-07-17T07:12:07.7787358Z modifications to the model or data loading is required. 2025-07-17T07:12:07.7787637Z 2025-07-17T07:12:07.7787749Z .. warning:: 2025-07-17T07:12:07.7788093Z If the model or training loop this context manager is wrapped around 2025-07-17T07:12:07.7788600Z has additional distributed collective operations, such as 2025-07-17T07:12:07.7789084Z ``SyncBatchNorm`` in the model's forward pass, then the flag 2025-07-17T07:12:07.7789576Z ``throw_on_early_termination`` must be enabled. This is because this 2025-07-17T07:12:07.7790170Z context manager is not aware of non-DDP collective communication. 2025-07-17T07:12:07.7790666Z This flag will cause all ranks to throw when any one rank 2025-07-17T07:12:07.7791179Z exhausts inputs, allowing these errors to be caught and recovered 2025-07-17T07:12:07.7791597Z from across all ranks. 2025-07-17T07:12:07.7791784Z 2025-07-17T07:12:07.7791866Z Args: 2025-07-17T07:12:07.7792170Z divide_by_initial_world_size (bool): If ``True``, will divide 2025-07-17T07:12:07.7792661Z gradients by the initial ``world_size`` DDP training was launched 2025-07-17T07:12:07.7793243Z with. If ``False``, will compute the effective world size 2025-07-17T07:12:07.7793714Z (number of ranks that have not depleted their inputs yet) and 2025-07-17T07:12:07.7794171Z divide gradients by that during allreduce. Set 2025-07-17T07:12:07.7794594Z ``divide_by_initial_world_size=True`` to ensure every input 2025-07-17T07:12:07.7795102Z sample including the uneven inputs have equal weight in terms of 2025-07-17T07:12:07.7795603Z how much they contribute to the global gradient. This is 2025-07-17T07:12:07.7796046Z achieved by always dividing the gradient by the initial 2025-07-17T07:12:07.7796522Z ``world_size`` even when we encounter uneven inputs. If you set 2025-07-17T07:12:07.7796996Z this to ``False``, we divide the gradient by the remaining 2025-07-17T07:12:07.7797479Z number of nodes. This ensures parity with training on a smaller 2025-07-17T07:12:07.7797962Z ``world_size`` although it also means the uneven inputs would 2025-07-17T07:12:07.7798457Z contribute more towards the global gradient. Typically, you 2025-07-17T07:12:07.7798956Z would want to set this to ``True`` for cases where the last few 2025-07-17T07:12:07.7799450Z inputs of your training job are uneven. In extreme cases, where 2025-07-17T07:12:07.7799948Z there is a large discrepancy in the number of inputs, setting 2025-07-17T07:12:07.7800393Z this to ``False`` might provide better results. 2025-07-17T07:12:07.7800863Z enable (bool): Whether to enable uneven input detection or not. Pass 2025-07-17T07:12:07.7801349Z in ``enable=False`` to disable in cases where you know that 2025-07-17T07:12:07.7801823Z inputs are even across participating processes. Default is 2025-07-17T07:12:07.7802214Z ``True``. 2025-07-17T07:12:07.7802525Z throw_on_early_termination (bool): Whether to throw an error 2025-07-17T07:12:07.7802997Z or continue training when at least one rank has exhausted 2025-07-17T07:12:07.7803472Z inputs. If ``True``, will throw upon the first rank reaching end 2025-07-17T07:12:07.7803938Z of data. If ``False``, will continue training with a smaller 2025-07-17T07:12:07.7804407Z effective world size until all ranks are joined. Note that if 2025-07-17T07:12:07.7804838Z this flag is specified, then the flag 2025-07-17T07:12:07.7805241Z ``divide_by_initial_world_size`` would be ignored. Default 2025-07-17T07:12:07.7805644Z is ``False``. 2025-07-17T07:12:07.7805802Z 2025-07-17T07:12:07.7805807Z 2025-07-17T07:12:07.7805898Z Example:: 2025-07-17T07:12:07.7806028Z 2025-07-17T07:12:07.7806205Z >>> # xdoctest: +SKIP("Distributed") 2025-07-17T07:12:07.7806587Z >>> import torch 2025-07-17T07:12:07.7806982Z >>> import torch.distributed as dist 2025-07-17T07:12:07.7807317Z >>> import os 2025-07-17T07:12:07.7807728Z >>> import torch.multiprocessing as mp 2025-07-17T07:12:07.7808346Z >>> import torch.nn as nn 2025-07-17T07:12:07.7808674Z >>> # On each spawned worker 2025-07-17T07:12:07.7808959Z >>> def worker(rank): 2025-07-17T07:12:07.7809289Z >>> dist.init_process_group("nccl", rank=rank, world_size=2) 2025-07-17T07:12:07.7809687Z >>> torch.cuda.set_device(rank) 2025-07-17T07:12:07.7810032Z >>> model = nn.Linear(1, 1, bias=False).to(rank) 2025-07-17T07:12:07.7810438Z >>> model = torch.nn.parallel.DistributedDataParallel( 2025-07-17T07:12:07.7810926Z >>> model, device_ids=[rank], output_device=rank 2025-07-17T07:12:07.7811266Z >>> ) 2025-07-17T07:12:07.7811511Z >>> # Rank 1 gets one more input than rank 0. 2025-07-17T07:12:07.7811937Z >>> inputs = [torch.tensor([1]).float() for _ in range(10 + rank)] 2025-07-17T07:12:07.7812350Z >>> with model.join(): 2025-07-17T07:12:07.7812634Z >>> for _ in range(5): 2025-07-17T07:12:07.7812918Z >>> for inp in inputs: 2025-07-17T07:12:07.7813304Z >>> loss = model(inp).sum() 2025-07-17T07:12:07.7813634Z >>> loss.backward() 2025-07-17T07:12:07.7814016Z >>> # Without the join() API, the below synchronization will hang 2025-07-17T07:12:07.7814461Z >>> # blocking for rank 1's allreduce to complete. 2025-07-17T07:12:07.7814845Z >>> torch.cuda.synchronize(device=rank) 2025-07-17T07:12:07.7815078Z 2025-07-17T07:12:07.7815345Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.7815710Z 2025-07-17T07:12:07.7816458Z msg = Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=2057. 2025-07-17T07:12:07.7817536Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.7817922Z 2025-07-17T07:12:07.7818224Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction. 2025-07-17T07:12:07.7818649Z 2025-07-17T07:12:07.7818867Z Registers an optimizer with DDP such that the optimization for a 2025-07-17T07:12:07.7819474Z parameter will run immediately when that parameter's gradient is 2025-07-17T07:12:07.7819983Z finished with reduction, instead of waiting for all parameters' 2025-07-17T07:12:07.7820519Z gradients to finish reduction. This can result in a training speedup 2025-07-17T07:12:07.7821074Z depending on your workload since the optimizer can run while gradient 2025-07-17T07:12:07.7821631Z reduction for other parameters are still ongoing. In addition, this has 2025-07-17T07:12:07.7822201Z the potential to reduce peak memory consumption during training, as it 2025-07-17T07:12:07.7822742Z only needs to load the per-parameter optimizer states of a single 2025-07-17T07:12:07.7823255Z parameter at a time, instead of loading all per-parameter optimizer 2025-07-17T07:12:07.7823669Z states at once. 2025-07-17T07:12:07.7823814Z 2025-07-17T07:12:07.7823893Z Args: 2025-07-17T07:12:07.7824206Z optim (Type): a ``torch.optim.Optimizer`` class to be registered 2025-07-17T07:12:07.7824604Z as a fused optimizer. 2025-07-17T07:12:07.7824939Z *args (Sequence[Any]): Arguments to forward to `optim`. 2025-07-17T07:12:07.7825433Z optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters 2025-07-17T07:12:07.7825972Z to optimize, similar to `params` argument of traditional `torch.optim` 2025-07-17T07:12:07.7826517Z Optimizers. If this is omitted, all DDP model parameters will be 2025-07-17T07:12:07.7826973Z optimized. 2025-07-17T07:12:07.7827307Z **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`. 2025-07-17T07:12:07.7827615Z 2025-07-17T07:12:07.7827707Z .. warning :: 2025-07-17T07:12:07.7828059Z _register_fused_optim should only be called once on a DDP instance, 2025-07-17T07:12:07.7828610Z and registering multiple fused optimizers for the same DDP model 2025-07-17T07:12:07.7829047Z is not currently supported. Please ping 2025-07-17T07:12:07.7829536Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-07-17T07:12:07.7829978Z for your use case. 2025-07-17T07:12:07.7830132Z 2025-07-17T07:12:07.7830216Z .. warning :: 2025-07-17T07:12:07.7830537Z _register_fused_optim and register_comm_hook currently do not 2025-07-17T07:12:07.7831056Z compose together, meaning that custom DDP communication hooks are 2025-07-17T07:12:07.7831588Z not supported with overlapped optimizers. Please ping 2025-07-17T07:12:07.7832086Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-07-17T07:12:07.7832521Z for your use case. 2025-07-17T07:12:07.7832672Z 2025-07-17T07:12:07.7832771Z .. warning :: 2025-07-17T07:12:07.7833116Z Gradient accumulation and DDP `no_sync` are currently not supported 2025-07-17T07:12:07.7833581Z with overlapped optimizer. Please ping 2025-07-17T07:12:07.7834042Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-07-17T07:12:07.7834540Z for your use case. 2025-07-17T07:12:07.7834693Z 2025-07-17T07:12:07.7834780Z Example:: 2025-07-17T07:12:07.7834917Z 2025-07-17T07:12:07.7835045Z >>> # xdoctest: +SKIP("No rendezvous handler") 2025-07-17T07:12:07.7835589Z >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...') 2025-07-17T07:12:07.7836201Z >>> net = torch.nn.parallel.DistributedDataParallel(model, pg) 2025-07-17T07:12:07.7836609Z >>> lr = 1e-2 2025-07-17T07:12:07.7836853Z >>> betas = (0.9, 0.99) 2025-07-17T07:12:07.7837104Z >>> eps = 1e-6 2025-07-17T07:12:07.7837472Z >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps) 2025-07-17T07:12:07.7837936Z >>> # Example with subset of parameters 2025-07-17T07:12:07.7838302Z >>> params_to_opt = [list(net.parameters())[0]] 2025-07-17T07:12:07.7838646Z >>> net._register_fused_optim( 2025-07-17T07:12:07.7839082Z ... torch.optim.Adam, lr, optim_params=params_to_opt, betas=betas, eps=eps 2025-07-17T07:12:07.7839527Z ... ) 2025-07-17T07:12:07.7839641Z 2025-07-17T07:12:07.7839893Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.7840271Z 2025-07-17T07:12:07.8282132Z msg = Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=14. 2025-07-17T07:12:07.8283316Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.8283986Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``. 2025-07-17T07:12:07.8284328Z 2025-07-17T07:12:07.8284599Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2025-07-17T07:12:07.8285344Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2025-07-17T07:12:07.8286068Z This function is used to facilitate the computation to adopt NHWC kernels, which 2025-07-17T07:12:07.8287009Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2025-07-17T07:12:07.8287555Z 2025-07-17T07:12:07.8287658Z .. note:: 2025-07-17T07:12:07.8288116Z Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive 2025-07-17T07:12:07.8288788Z than the utility function ``convert_conv2d_weight_memory_format``. Any 2025-07-17T07:12:07.8289346Z layer with 4d weight will be affected by ``model.to``, which does not 2025-07-17T07:12:07.8290123Z necessarily benefit from conversion to specified ``memory_format``. 2025-07-17T07:12:07.8290751Z One place we are confident in is that NHWC(channels_last) conversion for 2025-07-17T07:12:07.8291379Z convolution in cuDNN, as it is beneficial to run convolution in NHWC, 2025-07-17T07:12:07.8291990Z even in cases where we have to apply permutation to input tensors. 2025-07-17T07:12:07.8292312Z 2025-07-17T07:12:07.8292539Z Hence our strategy here is to convert only the weight of convolution to 2025-07-17T07:12:07.8293081Z channels_last. This ensures that; 2025-07-17T07:12:07.8293596Z 1. Fast convolution kernels will be used, the benefit of which could 2025-07-17T07:12:07.8294167Z outweigh overhead of permutation (if input is not in the same format). 2025-07-17T07:12:07.8294817Z 2. No unnecessary permutations are applied on layers that do not benefit 2025-07-17T07:12:07.8295432Z from memory_format conversion. 2025-07-17T07:12:07.8295647Z 2025-07-17T07:12:07.8295934Z The optimal case is that, layers between convolution layers are channels 2025-07-17T07:12:07.8296526Z last compatible. Input tensor would be permuted to channels last when it 2025-07-17T07:12:07.8297178Z encounters the first convolution layer and stay in that memory format. 2025-07-17T07:12:07.8297829Z Hence following convolutions will not need to permute its input tensor. 2025-07-17T07:12:07.8298183Z 2025-07-17T07:12:07.8298619Z In case where a channels last incompatible layer is between convolution 2025-07-17T07:12:07.8299310Z layers, we need to permute the input tensor back to contiguous format 2025-07-17T07:12:07.8299898Z for that layer. The input tensor will go through the remaining layers in 2025-07-17T07:12:07.8300525Z contiguous format and be permuted to channels last when it encounters 2025-07-17T07:12:07.8301162Z another convolution layer. There's no point in propagating that 2025-07-17T07:12:07.8301770Z permutation to an earlier layer, as most layers are quite agnostic to 2025-07-17T07:12:07.8302211Z ``memory_format``. 2025-07-17T07:12:07.8302452Z 2025-07-17T07:12:07.8302697Z This claim might change when PyTorch supports fusion of permutation, as 2025-07-17T07:12:07.8303339Z there might have been a better spot to fuse the permutation other than 2025-07-17T07:12:07.8303797Z immediately before a convolution. 2025-07-17T07:12:07.8304106Z 2025-07-17T07:12:07.8304188Z Args: 2025-07-17T07:12:07.8304527Z module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container 2025-07-17T07:12:07.8305022Z ``nn.Module`` 2025-07-17T07:12:07.8305385Z memory_format: user specified ``memory_format``, 2025-07-17T07:12:07.8305901Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2025-07-17T07:12:07.8306194Z 2025-07-17T07:12:07.8306339Z Returns: 2025-07-17T07:12:07.8306619Z The original module with updated ``nn.Conv2d`` 2025-07-17T07:12:07.8306884Z 2025-07-17T07:12:07.8306966Z Example: 2025-07-17T07:12:07.8307303Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-07-17T07:12:07.8307694Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2025-07-17T07:12:07.8308142Z >>> input = torch.randint( 2025-07-17T07:12:07.8308496Z ... 1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda" 2025-07-17T07:12:07.8308913Z ... ) 2025-07-17T07:12:07.8309151Z >>> model = nn.Sequential( 2025-07-17T07:12:07.8309521Z >>> nn.Conv2d(8, 4, 3)).cuda().half() 2025-07-17T07:12:07.8309852Z >>> # This is identical to: 2025-07-17T07:12:07.8310361Z >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2025-07-17T07:12:07.8310889Z >>> model = nn.utils.convert_conv2d_weight_memory_format( 2025-07-17T07:12:07.8311357Z ... model, torch.channels_last 2025-07-17T07:12:07.8311704Z ... ) 2025-07-17T07:12:07.8312000Z >>> out = model(input) 2025-07-17T07:12:07.8312269Z 2025-07-17T07:12:07.8312664Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.8313075Z 2025-07-17T07:12:07.8313781Z msg = Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=93. 2025-07-17T07:12:07.8314861Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.8315534Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format`` 2025-07-17T07:12:07.8316195Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2025-07-17T07:12:07.8316929Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2025-07-17T07:12:07.8317656Z This function is used to facilitate the computation to adopt NHWC kernels, which 2025-07-17T07:12:07.8318453Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2025-07-17T07:12:07.8318884Z 2025-07-17T07:12:07.8319004Z .. note:: 2025-07-17T07:12:07.8319428Z Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive 2025-07-17T07:12:07.8320072Z than the utility function ``convert_conv3d_weight_memory_format``. Any 2025-07-17T07:12:07.8320623Z layer with 4d weight will be affected by ``model.to``, which does not 2025-07-17T07:12:07.8321245Z necessarily benefit from conversion to specified ``memory_format``. 2025-07-17T07:12:07.8321905Z One place we are confident in is that NDHWC(channels_last_3d) conversion for 2025-07-17T07:12:07.8322486Z convolution in cuDNN, as it is beneficial to run convolution in NDHWC, 2025-07-17T07:12:07.8323015Z even in cases where we have to apply permutation to input tensors. 2025-07-17T07:12:07.8323348Z 2025-07-17T07:12:07.8323596Z Hence our strategy here is to convert only the weight of convolution to 2025-07-17T07:12:07.8324131Z channels_last_3d. This ensures that; 2025-07-17T07:12:07.8324561Z 1. Fast convolution kernels will be used, the benefit of which could 2025-07-17T07:12:07.8325127Z outweigh overhead of permutation (if input is not in the same format). 2025-07-17T07:12:07.8325714Z 2. No unnecessary permutations are applied on layers that do not benefit 2025-07-17T07:12:07.8326180Z from memory_format conversion. 2025-07-17T07:12:07.8326392Z 2025-07-17T07:12:07.8326620Z The optimal case is that, layers between convolution layers are channels 2025-07-17T07:12:07.8327199Z last compatible. Input tensor would be permuted to channels last when it 2025-07-17T07:12:07.8327859Z encounters the first convolution layer and stay in that memory format. 2025-07-17T07:12:07.8328432Z Hence following convolutions will not need to permute its input tensor. 2025-07-17T07:12:07.8328797Z 2025-07-17T07:12:07.8329017Z In case where a channels last incompatible layer is between convolution 2025-07-17T07:12:07.8329570Z layers, we need to permute the input tensor back to contiguous format 2025-07-17T07:12:07.8330120Z for that layer. The input tensor will go through the remaining layers in 2025-07-17T07:12:07.8330675Z contiguous format and be permuted to channels last when it encounters 2025-07-17T07:12:07.8331231Z another convolution layer. There's no point in propagating that 2025-07-17T07:12:07.8331772Z permutation to an earlier layer, as most layers are quite agnostic to 2025-07-17T07:12:07.8332209Z ``memory_format``. 2025-07-17T07:12:07.8332379Z 2025-07-17T07:12:07.8332606Z This claim might change when PyTorch supports fusion of permutation, as 2025-07-17T07:12:07.8333177Z there might have been a better spot to fuse the permutation other than 2025-07-17T07:12:07.8333637Z immediately before a convolution. 2025-07-17T07:12:07.8333903Z 2025-07-17T07:12:07.8333986Z Args: 2025-07-17T07:12:07.8334316Z module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container 2025-07-17T07:12:07.8334824Z ``nn.Module`` 2025-07-17T07:12:07.8335183Z memory_format: user specified ``memory_format``, 2025-07-17T07:12:07.8335608Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2025-07-17T07:12:07.8335911Z 2025-07-17T07:12:07.8335992Z Returns: 2025-07-17T07:12:07.8336267Z The original module with updated ``nn.Conv3d`` 2025-07-17T07:12:07.8336516Z 2025-07-17T07:12:07.8336598Z Example: 2025-07-17T07:12:07.8336860Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-07-17T07:12:07.8337263Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2025-07-17T07:12:07.8337639Z >>> input = torch.randint( 2025-07-17T07:12:07.8337974Z ... 1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda" 2025-07-17T07:12:07.8338363Z ... ) 2025-07-17T07:12:07.8338595Z >>> model = nn.Sequential( 2025-07-17T07:12:07.8338892Z >>> nn.Conv3d(8, 4, 3)).cuda().half() 2025-07-17T07:12:07.8339315Z >>> # This is identical to: 2025-07-17T07:12:07.8339773Z >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d) 2025-07-17T07:12:07.8340298Z >>> model = nn.utils.convert_conv3d_weight_memory_format( 2025-07-17T07:12:07.8340696Z ... model, torch.channels_last_3d 2025-07-17T07:12:07.8341013Z ... ) 2025-07-17T07:12:07.8341287Z >>> out = model(input) 2025-07-17T07:12:07.8341556Z 2025-07-17T07:12:07.8341921Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.8342285Z 2025-07-17T07:12:07.8411290Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrize.py line=424. 2025-07-17T07:12:07.8412433Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.8412970Z Register a parametrization to a tensor in a module. 2025-07-17T07:12:07.8413248Z 2025-07-17T07:12:07.8413523Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-07-17T07:12:07.8414202Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-07-17T07:12:07.8414859Z If the original tensor requires a gradient, the backward pass will differentiate 2025-07-17T07:12:07.8415538Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-07-17T07:12:07.8415960Z 2025-07-17T07:12:07.8416268Z The first time that a module registers a parametrization, this function will add an attribute 2025-07-17T07:12:07.8416941Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-07-17T07:12:07.8417298Z 2025-07-17T07:12:07.8417548Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-07-17T07:12:07.8418051Z ``module.parametrizations.weight``. 2025-07-17T07:12:07.8418290Z 2025-07-17T07:12:07.8418421Z The original tensor will be accessible under 2025-07-17T07:12:07.8418813Z ``module.parametrizations.weight.original``. 2025-07-17T07:12:07.8419135Z 2025-07-17T07:12:07.8419398Z Parametrizations may be concatenated by registering several parametrizations 2025-07-17T07:12:07.8419893Z on the same attribute. 2025-07-17T07:12:07.8420065Z 2025-07-17T07:12:07.8420329Z The training mode of a registered parametrization is updated on registration 2025-07-17T07:12:07.8420831Z to match the training mode of the host module 2025-07-17T07:12:07.8421071Z 2025-07-17T07:12:07.8421375Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-07-17T07:12:07.8421929Z using the context manager :func:`cached`. 2025-07-17T07:12:07.8422158Z 2025-07-17T07:12:07.8422408Z A :attr:`parametrization` may optionally implement a method with signature 2025-07-17T07:12:07.8422936Z 2025-07-17T07:12:07.8423054Z .. code-block:: python 2025-07-17T07:12:07.8423239Z 2025-07-17T07:12:07.8423456Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-07-17T07:12:07.8423799Z 2025-07-17T07:12:07.8424056Z This method is called on the unparametrized tensor when the first parametrization 2025-07-17T07:12:07.8424707Z is registered to compute the initial value of the original tensor. 2025-07-17T07:12:07.8425332Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-07-17T07:12:07.8425764Z 2025-07-17T07:12:07.8426072Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-07-17T07:12:07.8426790Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-07-17T07:12:07.8427194Z 2025-07-17T07:12:07.8427500Z It is possible for the first parametrization to depend on several inputs. 2025-07-17T07:12:07.8428129Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-07-17T07:12:07.8428713Z (see the example implementation of a ``RankOne`` parametrization below). 2025-07-17T07:12:07.8429071Z 2025-07-17T07:12:07.8429402Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-07-17T07:12:07.8429990Z with names ``original0``, ``original1``,... 2025-07-17T07:12:07.8430224Z 2025-07-17T07:12:07.8430323Z .. note:: 2025-07-17T07:12:07.8430573Z 2025-07-17T07:12:07.8430842Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-07-17T07:12:07.8431377Z once to perform a number of consistency checks. 2025-07-17T07:12:07.8431904Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-07-17T07:12:07.8432410Z and nothing will be called otherwise. 2025-07-17T07:12:07.8432636Z 2025-07-17T07:12:07.8432722Z .. note:: 2025-07-17T07:12:07.8432858Z 2025-07-17T07:12:07.8433064Z In most situations, ``right_inverse`` will be a function such that 2025-07-17T07:12:07.8433508Z ``forward(right_inverse(X)) == X`` (see 2025-07-17T07:12:07.8434019Z `right inverse `_). 2025-07-17T07:12:07.8434676Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-07-17T07:12:07.8435143Z to relax this. 2025-07-17T07:12:07.8435294Z 2025-07-17T07:12:07.8435401Z .. warning:: 2025-07-17T07:12:07.8435534Z 2025-07-17T07:12:07.8435803Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-07-17T07:12:07.8436455Z will register a number of new parameters. If such parametrization is registered 2025-07-17T07:12:07.8437102Z after the optimizer is created, these new parameters will need to be added manually 2025-07-17T07:12:07.8437689Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-07-17T07:12:07.8437998Z 2025-07-17T07:12:07.8438078Z Args: 2025-07-17T07:12:07.8438408Z module (nn.Module): module on which to register the parametrization 2025-07-17T07:12:07.8438953Z tensor_name (str): name of the parameter or buffer on which to register 2025-07-17T07:12:07.8439379Z the parametrization 2025-07-17T07:12:07.8439777Z parametrization (nn.Module): the parametrization to register 2025-07-17T07:12:07.8440190Z Keyword args: 2025-07-17T07:12:07.8440542Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-07-17T07:12:07.8441076Z may change the dtype and shape of the tensor. Default: `False` 2025-07-17T07:12:07.8441662Z Warning: the parametrization is not checked for consistency upon registration. 2025-07-17T07:12:07.8442172Z Enable this flag at your own risk. 2025-07-17T07:12:07.8442402Z 2025-07-17T07:12:07.8442485Z Raises: 2025-07-17T07:12:07.8442935Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-07-17T07:12:07.8443340Z 2025-07-17T07:12:07.8443441Z Examples: 2025-07-17T07:12:07.8443714Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-07-17T07:12:07.8444080Z >>> import torch 2025-07-17T07:12:07.8444353Z >>> import torch.nn as nn 2025-07-17T07:12:07.8444692Z >>> import torch.nn.utils.parametrize as P 2025-07-17T07:12:07.8445016Z >>> 2025-07-17T07:12:07.8445258Z >>> class Symmetric(nn.Module): 2025-07-17T07:12:07.8445587Z >>> def forward(self, X): 2025-07-17T07:12:07.8445959Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-07-17T07:12:07.8446337Z >>> 2025-07-17T07:12:07.8446572Z >>> def right_inverse(self, A): 2025-07-17T07:12:07.8446879Z >>> return A.triu() 2025-07-17T07:12:07.8447186Z >>> 2025-07-17T07:12:07.8447406Z >>> m = nn.Linear(5, 5) 2025-07-17T07:12:07.8447751Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-07-17T07:12:07.8448274Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-07-17T07:12:07.8448716Z True 2025-07-17T07:12:07.8448941Z >>> A = torch.rand(5, 5) 2025-07-17T07:12:07.8449228Z >>> A = A + A.T # A is now symmetric 2025-07-17T07:12:07.8449645Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-07-17T07:12:07.8450153Z >>> print(torch.allclose(m.weight, A)) 2025-07-17T07:12:07.8450459Z True 2025-07-17T07:12:07.8450590Z 2025-07-17T07:12:07.8450694Z >>> class RankOne(nn.Module): 2025-07-17T07:12:07.8451006Z >>> def forward(self, x, y): 2025-07-17T07:12:07.8451348Z >>> # Form a rank 1 matrix multiplying two vectors 2025-07-17T07:12:07.8451749Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-07-17T07:12:07.8452081Z >>> 2025-07-17T07:12:07.8452316Z >>> def right_inverse(self, Z): 2025-07-17T07:12:07.8452642Z >>> # Project Z onto the rank 1 matrices 2025-07-17T07:12:07.8453026Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-07-17T07:12:07.8453414Z >>> # Return rescaled singular vectors 2025-07-17T07:12:07.8453747Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-07-17T07:12:07.8454128Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-07-17T07:12:07.8454480Z >>> 2025-07-17T07:12:07.8454737Z >>> linear_rank_one = P.register_parametrization( 2025-07-17T07:12:07.8455122Z ... nn.Linear(4, 4), "weight", RankOne() 2025-07-17T07:12:07.8455440Z ... ) 2025-07-17T07:12:07.8455771Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-07-17T07:12:07.8456163Z 1 2025-07-17T07:12:07.8456291Z 2025-07-17T07:12:07.8456372Z 2025-07-17T07:12:07.8456739Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.8457106Z 2025-07-17T07:12:07.8528633Z msg = Cannot scrape callname=ln_structured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=979. 2025-07-17T07:12:07.8529618Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.8530315Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension. 2025-07-17T07:12:07.8530739Z 2025-07-17T07:12:07.8531011Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2025-07-17T07:12:07.8531580Z by removing the specified ``amount`` of (currently unpruned) channels 2025-07-17T07:12:07.8532076Z along the specified ``dim`` with the lowest L\ ``n``-norm. 2025-07-17T07:12:07.8532562Z Modifies module in place (and also return the modified module) 2025-07-17T07:12:07.8533071Z by: 2025-07-17T07:12:07.8533260Z 2025-07-17T07:12:07.8533482Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-07-17T07:12:07.8534267Z binary mask applied to the parameter ``name`` by the pruning method. 2025-07-17T07:12:07.8535248Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-07-17T07:12:07.8535836Z original (unpruned) parameter is stored in a new parameter named 2025-07-17T07:12:07.8536246Z ``name+'_orig'``. 2025-07-17T07:12:07.8536418Z 2025-07-17T07:12:07.8536500Z Args: 2025-07-17T07:12:07.8536807Z module (nn.Module): module containing the tensor to prune 2025-07-17T07:12:07.8537275Z name (str): parameter name within ``module`` on which pruning 2025-07-17T07:12:07.8537666Z will act. 2025-07-17T07:12:07.8538005Z amount (int or float): quantity of parameters to prune. 2025-07-17T07:12:07.8538621Z If ``float``, should be between 0.0 and 1.0 and represent the 2025-07-17T07:12:07.8539486Z fraction of parameters to prune. If ``int``, it represents the 2025-07-17T07:12:07.8540203Z absolute number of parameters to prune. 2025-07-17T07:12:07.8540643Z n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid 2025-07-17T07:12:07.8541095Z entries for argument ``p`` in :func:`torch.norm`. 2025-07-17T07:12:07.8541563Z dim (int): index of the dim along which we define channels to prune. 2025-07-17T07:12:07.8542115Z importance_scores (torch.Tensor): tensor of importance scores (of same 2025-07-17T07:12:07.8542760Z shape as module parameter) used to compute mask for pruning. 2025-07-17T07:12:07.8543290Z The values in this tensor indicate the importance of the corresponding 2025-07-17T07:12:07.8543761Z elements in the parameter being pruned. 2025-07-17T07:12:07.8544230Z If unspecified or None, the module parameter will be used in its place. 2025-07-17T07:12:07.8544573Z 2025-07-17T07:12:07.8544659Z Returns: 2025-07-17T07:12:07.8545010Z module (nn.Module): modified (i.e. pruned) version of the input module 2025-07-17T07:12:07.8545345Z 2025-07-17T07:12:07.8545449Z Examples: 2025-07-17T07:12:07.8545691Z >>> from torch.nn.utils import prune 2025-07-17T07:12:07.8546027Z >>> m = prune.ln_structured( 2025-07-17T07:12:07.8546411Z ... nn.Conv2d(5, 3, 2), "weight", amount=0.3, dim=1, n=float("-inf") 2025-07-17T07:12:07.8546794Z ... ) 2025-07-17T07:12:07.8546995Z 2025-07-17T07:12:07.8547363Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.8547725Z 2025-07-17T07:12:07.8548313Z msg = Cannot scrape callname=global_unstructured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1026. 2025-07-17T07:12:07.8549224Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.8549595Z 2025-07-17T07:12:07.8550036Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``. 2025-07-17T07:12:07.8550579Z 2025-07-17T07:12:07.8550690Z Modifies modules in place by: 2025-07-17T07:12:07.8550910Z 2025-07-17T07:12:07.8551115Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-07-17T07:12:07.8551656Z binary mask applied to the parameter ``name`` by the pruning method. 2025-07-17T07:12:07.8552186Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-07-17T07:12:07.8552723Z original (unpruned) parameter is stored in a new parameter named 2025-07-17T07:12:07.8553138Z ``name+'_orig'``. 2025-07-17T07:12:07.8553287Z 2025-07-17T07:12:07.8553381Z Args: 2025-07-17T07:12:07.8553690Z parameters (Iterable of (module, name) tuples): parameters of 2025-07-17T07:12:07.8554201Z the model to prune in a global fashion, i.e. by aggregating all 2025-07-17T07:12:07.8554722Z weights prior to deciding which ones to prune. module must be of 2025-07-17T07:12:07.8555190Z type :class:`nn.Module`, and name must be a string. 2025-07-17T07:12:07.8555715Z pruning_method (function): a valid pruning function from this module, 2025-07-17T07:12:07.8556232Z or a custom one implemented by the user that satisfies the 2025-07-17T07:12:07.8556752Z implementation guidelines and has ``PRUNING_TYPE='unstructured'``. 2025-07-17T07:12:07.8557315Z importance_scores (dict): a dictionary mapping (module, name) tuples to 2025-07-17T07:12:07.8557894Z the corresponding parameter's importance scores tensor. The tensor 2025-07-17T07:12:07.8558445Z should be the same shape as the parameter, and is used for computing 2025-07-17T07:12:07.8558860Z mask for pruning. 2025-07-17T07:12:07.8559246Z If unspecified or None, the parameter will be used in place of its 2025-07-17T07:12:07.8559673Z importance scores. 2025-07-17T07:12:07.8559971Z kwargs: other keyword arguments such as: 2025-07-17T07:12:07.8560423Z amount (int or float): quantity of parameters to prune across the 2025-07-17T07:12:07.8560841Z specified parameters. 2025-07-17T07:12:07.8561202Z If ``float``, should be between 0.0 and 1.0 and represent the 2025-07-17T07:12:07.8561675Z fraction of parameters to prune. If ``int``, it represents the 2025-07-17T07:12:07.8562116Z absolute number of parameters to prune. 2025-07-17T07:12:07.8562350Z 2025-07-17T07:12:07.8562445Z Raises: 2025-07-17T07:12:07.8562699Z TypeError: if ``PRUNING_TYPE != 'unstructured'`` 2025-07-17T07:12:07.8562965Z 2025-07-17T07:12:07.8563102Z Note: 2025-07-17T07:12:07.8563432Z Since global structured pruning doesn't make much sense unless the 2025-07-17T07:12:07.8564030Z norm is normalized by the size of the parameter, we now limit the 2025-07-17T07:12:07.8564479Z scope of global pruning to unstructured methods. 2025-07-17T07:12:07.8564745Z 2025-07-17T07:12:07.8564830Z Examples: 2025-07-17T07:12:07.8565067Z >>> from torch.nn.utils import prune 2025-07-17T07:12:07.8565400Z >>> from collections import OrderedDict 2025-07-17T07:12:07.8565732Z >>> net = nn.Sequential( 2025-07-17T07:12:07.8566006Z ... OrderedDict( 2025-07-17T07:12:07.8566244Z ... [ 2025-07-17T07:12:07.8566504Z ... ("first", nn.Linear(10, 4)), 2025-07-17T07:12:07.8566846Z ... ("second", nn.Linear(4, 1)), 2025-07-17T07:12:07.8567157Z ... ] 2025-07-17T07:12:07.8567362Z ... ) 2025-07-17T07:12:07.8567570Z ... ) 2025-07-17T07:12:07.8567788Z >>> parameters_to_prune = ( 2025-07-17T07:12:07.8568069Z ... (net.first, "weight"), 2025-07-17T07:12:07.8568366Z ... (net.second, "weight"), 2025-07-17T07:12:07.8568646Z ... ) 2025-07-17T07:12:07.8568860Z >>> prune.global_unstructured( 2025-07-17T07:12:07.8569165Z ... parameters_to_prune, 2025-07-17T07:12:07.8569672Z ... pruning_method=prune.L1Unstructured, 2025-07-17T07:12:07.8570003Z ... amount=10, 2025-07-17T07:12:07.8570244Z ... ) 2025-07-17T07:12:07.8570588Z >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0)) 2025-07-17T07:12:07.8571001Z tensor(10) 2025-07-17T07:12:07.8571145Z 2025-07-17T07:12:07.8571149Z 2025-07-17T07:12:07.8571397Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.8571772Z 2025-07-17T07:12:07.8572287Z msg = Cannot scrape callname=custom_from_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1149. 2025-07-17T07:12:07.8573179Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.8573934Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``. 2025-07-17T07:12:07.8574451Z 2025-07-17T07:12:07.8574663Z Modifies module in place (and also return the modified module) by: 2025-07-17T07:12:07.8574998Z 2025-07-17T07:12:07.8575204Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-07-17T07:12:07.8575837Z binary mask applied to the parameter ``name`` by the pruning method. 2025-07-17T07:12:07.8576370Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-07-17T07:12:07.8576905Z original (unpruned) parameter is stored in a new parameter named 2025-07-17T07:12:07.8577328Z ``name+'_orig'``. 2025-07-17T07:12:07.8577488Z 2025-07-17T07:12:07.8577583Z Args: 2025-07-17T07:12:07.8577869Z module (nn.Module): module containing the tensor to prune 2025-07-17T07:12:07.8578346Z name (str): parameter name within ``module`` on which pruning 2025-07-17T07:12:07.8578732Z will act. 2025-07-17T07:12:07.8579046Z mask (Tensor): binary mask to be applied to the parameter. 2025-07-17T07:12:07.8579458Z 2025-07-17T07:12:07.8579543Z Returns: 2025-07-17T07:12:07.8579896Z module (nn.Module): modified (i.e. pruned) version of the input module 2025-07-17T07:12:07.8580311Z 2025-07-17T07:12:07.8580409Z Examples: 2025-07-17T07:12:07.8580651Z >>> from torch.nn.utils import prune 2025-07-17T07:12:07.8580988Z >>> m = prune.custom_from_mask( 2025-07-17T07:12:07.8581374Z ... nn.Linear(5, 3), name="bias", mask=torch.tensor([0, 1, 0]) 2025-07-17T07:12:07.8581736Z ... ) 2025-07-17T07:12:07.8581969Z >>> print(m.bias_mask) 2025-07-17T07:12:07.8582254Z tensor([0., 1., 0.]) 2025-07-17T07:12:07.8582424Z 2025-07-17T07:12:07.8582502Z 2025-07-17T07:12:07.8582936Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.8583299Z 2025-07-17T07:12:07.8608344Z msg = Cannot scrape callname=pad_packed_sequence in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py line=342. 2025-07-17T07:12:07.8609271Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.8609786Z Pad a packed batch of variable length sequences. 2025-07-17T07:12:07.8610067Z 2025-07-17T07:12:07.8610245Z It is an inverse operation to :func:`pack_padded_sequence`. 2025-07-17T07:12:07.8610546Z 2025-07-17T07:12:07.8610823Z The returned Tensor's data will be of size ``T x B x *`` (if :attr:`batch_first` is ``False``) 2025-07-17T07:12:07.8611454Z or ``B x T x *`` (if :attr:`batch_first` is ``True``) , where ``T`` is the length of the longest 2025-07-17T07:12:07.8611913Z sequence and ``B`` is the batch size. 2025-07-17T07:12:07.8612145Z 2025-07-17T07:12:07.8612231Z Example: 2025-07-17T07:12:07.8612605Z >>> from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence 2025-07-17T07:12:07.8613112Z >>> seq = torch.tensor([[1, 2, 0], [3, 0, 0], [4, 5, 6]]) 2025-07-17T07:12:07.8613459Z >>> lens = [2, 1, 3] 2025-07-17T07:12:07.8613748Z >>> packed = pack_padded_sequence( 2025-07-17T07:12:07.8614123Z ... seq, lens, batch_first=True, enforce_sorted=False 2025-07-17T07:12:07.8614463Z ... ) 2025-07-17T07:12:07.8614679Z >>> packed 2025-07-17T07:12:07.8615062Z PackedSequence(data=tensor([4, 1, 3, 5, 2, 6]), batch_sizes=tensor([3, 2, 1]), 2025-07-17T07:12:07.8615623Z sorted_indices=tensor([2, 0, 1]), unsorted_indices=tensor([1, 2, 0])) 2025-07-17T07:12:07.8616210Z >>> seq_unpacked, lens_unpacked = pad_packed_sequence(packed, batch_first=True) 2025-07-17T07:12:07.8616679Z >>> seq_unpacked 2025-07-17T07:12:07.8616945Z tensor([[1, 2, 0], 2025-07-17T07:12:07.8617193Z [3, 0, 0], 2025-07-17T07:12:07.8617450Z [4, 5, 6]]) 2025-07-17T07:12:07.8617714Z >>> lens_unpacked 2025-07-17T07:12:07.8617964Z tensor([2, 1, 3]) 2025-07-17T07:12:07.8618140Z 2025-07-17T07:12:07.8618241Z .. note:: 2025-07-17T07:12:07.8618524Z :attr:`total_length` is useful to implement the 2025-07-17T07:12:07.8618996Z ``pack sequence -> recurrent network -> unpack sequence`` pattern in a 2025-07-17T07:12:07.8619665Z :class:`~torch.nn.Module` wrapped in :class:`~torch.nn.DataParallel`. 2025-07-17T07:12:07.8620340Z See :ref:`this FAQ section ` for 2025-07-17T07:12:07.8620780Z details. 2025-07-17T07:12:07.8620915Z 2025-07-17T07:12:07.8620998Z Args: 2025-07-17T07:12:07.8621250Z sequence (PackedSequence): batch to pad 2025-07-17T07:12:07.8621734Z batch_first (bool, optional): if ``True``, the output will be in ``B x T x *`` 2025-07-17T07:12:07.8622193Z format, ``T x B x *`` otherwise. 2025-07-17T07:12:07.8636333Z padding_value (float, optional): values for padded elements. 2025-07-17T07:12:07.8637001Z total_length (int, optional): if not ``None``, the output will be padded to 2025-07-17T07:12:07.8637593Z have length :attr:`total_length`. This method will throw :class:`ValueError` 2025-07-17T07:12:07.8638151Z if :attr:`total_length` is less than the max sequence length in 2025-07-17T07:12:07.8638678Z :attr:`sequence`. 2025-07-17T07:12:07.8638869Z 2025-07-17T07:12:07.8638956Z Returns: 2025-07-17T07:12:07.8639284Z Tuple of Tensor containing the padded sequence, and a Tensor 2025-07-17T07:12:07.8639789Z containing the list of lengths of each sequence in the batch. 2025-07-17T07:12:07.8640339Z Batch elements will be re-ordered as they were ordered originally when 2025-07-17T07:12:07.8640889Z the batch was passed to ``pack_padded_sequence`` or ``pack_sequence``. 2025-07-17T07:12:07.8641317Z 2025-07-17T07:12:07.8641751Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.8642116Z 2025-07-17T07:12:07.9349145Z msg = Cannot scrape callname=SequentialLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=808. 2025-07-17T07:12:07.9350104Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.9350829Z Contains a list of schedulers expected to be called sequentially during the optimization process. 2025-07-17T07:12:07.9351276Z 2025-07-17T07:12:07.9351661Z Specifically, the schedulers will be called according to the milestone points, which should provide exact 2025-07-17T07:12:07.9352368Z intervals by which each scheduler should be called at a given epoch. 2025-07-17T07:12:07.9352697Z 2025-07-17T07:12:07.9352785Z Args: 2025-07-17T07:12:07.9353043Z optimizer (Optimizer): Wrapped optimizer. 2025-07-17T07:12:07.9353444Z schedulers (list): List of chained schedulers. 2025-07-17T07:12:07.9353914Z milestones (list): List of integers that reflects milestone points. 2025-07-17T07:12:07.9354419Z last_epoch (int): The index of last epoch. Default: -1. 2025-07-17T07:12:07.9354707Z 2025-07-17T07:12:07.9354793Z Example: 2025-07-17T07:12:07.9355026Z >>> # xdoctest: +SKIP 2025-07-17T07:12:07.9355351Z >>> # Assuming optimizer uses lr = 0.05 for all groups 2025-07-17T07:12:07.9355725Z >>> # lr = 0.005 if epoch == 0 2025-07-17T07:12:07.9356045Z >>> # lr = 0.005 if epoch == 1 2025-07-17T07:12:07.9356342Z >>> # lr = 0.005 if epoch == 2 2025-07-17T07:12:07.9356633Z >>> # ... 2025-07-17T07:12:07.9356877Z >>> # lr = 0.05 if epoch == 20 2025-07-17T07:12:07.9357176Z >>> # lr = 0.045 if epoch == 21 2025-07-17T07:12:07.9357489Z >>> # lr = 0.0405 if epoch == 22 2025-07-17T07:12:07.9357897Z >>> scheduler1 = ConstantLR(optimizer, factor=0.1, total_iters=20) 2025-07-17T07:12:07.9358379Z >>> scheduler2 = ExponentialLR(optimizer, gamma=0.9) 2025-07-17T07:12:07.9358745Z >>> scheduler = SequentialLR( 2025-07-17T07:12:07.9359054Z ... optimizer, 2025-07-17T07:12:07.9359356Z ... schedulers=[scheduler1, scheduler2], 2025-07-17T07:12:07.9359692Z ... milestones=[20], 2025-07-17T07:12:07.9359968Z ... ) 2025-07-17T07:12:07.9360206Z >>> for epoch in range(100): 2025-07-17T07:12:07.9360678Z >>> train(...) 2025-07-17T07:12:07.9360945Z >>> validate(...) 2025-07-17T07:12:07.9361227Z >>> scheduler.step() 2025-07-17T07:12:07.9361413Z 2025-07-17T07:12:07.9361604Z .. image:: ../scripts/lr_scheduler_images/SequentialLR.png 2025-07-17T07:12:07.9361979Z 2025-07-17T07:12:07.9362348Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.9362716Z 2025-07-17T07:12:07.9384966Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1233. 2025-07-17T07:12:07.9385892Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:07.9386446Z Reduce learning rate when a metric has stopped improving. 2025-07-17T07:12:07.9386750Z 2025-07-17T07:12:07.9386970Z Models often benefit from reducing the learning rate by a factor 2025-07-17T07:12:07.9387623Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-07-17T07:12:07.9388111Z quantity and if no improvement is seen for a 'patience' number 2025-07-17T07:12:07.9388551Z of epochs, the learning rate is reduced. 2025-07-17T07:12:07.9388790Z 2025-07-17T07:12:07.9388875Z Args: 2025-07-17T07:12:07.9389133Z optimizer (Optimizer): Wrapped optimizer. 2025-07-17T07:12:07.9389523Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-07-17T07:12:07.9389949Z be reduced when the quantity monitored has stopped 2025-07-17T07:12:07.9390471Z decreasing; in `max` mode it will be reduced when the 2025-07-17T07:12:07.9390934Z quantity monitored has stopped increasing. Default: 'min'. 2025-07-17T07:12:07.9391421Z factor (float): Factor by which the learning rate will be 2025-07-17T07:12:07.9391849Z reduced. new_lr = lr * factor. Default: 0.1. 2025-07-17T07:12:07.9392317Z patience (int): The number of allowed epochs with no improvement after 2025-07-17T07:12:07.9392779Z which the learning rate will be reduced. 2025-07-17T07:12:07.9393249Z For example, consider the case of having no patience (`patience = 0`). 2025-07-17T07:12:07.9394017Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-07-17T07:12:07.9395054Z In the second epoch, if the performance is worse than the baseline, 2025-07-17T07:12:07.9395601Z we have what is considered an intolerable epoch. 2025-07-17T07:12:07.9396314Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-07-17T07:12:07.9396875Z the learning rate is reduced at the end of this epoch. 2025-07-17T07:12:07.9397466Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-07-17T07:12:07.9398226Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-07-17T07:12:07.9398791Z the learning rate is not adjusted. 2025-07-17T07:12:07.9399102Z Default: 10. 2025-07-17T07:12:07.9399459Z threshold (float): Threshold for measuring the new optimum, 2025-07-17T07:12:07.9399925Z to only focus on significant changes. Default: 1e-4. 2025-07-17T07:12:07.9400374Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-07-17T07:12:07.9400814Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-07-17T07:12:07.9401237Z mode or best * ( 1 - threshold ) in `min` mode. 2025-07-17T07:12:07.9401650Z In `abs` mode, dynamic_threshold = best + threshold in 2025-07-17T07:12:07.9402117Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-07-17T07:12:07.9402765Z cooldown (int): Number of epochs to wait before resuming 2025-07-17T07:12:07.9403349Z normal operation after lr has been reduced. Default: 0. 2025-07-17T07:12:07.9403809Z min_lr (float or list): A scalar or a list of scalars. A 2025-07-17T07:12:07.9404347Z lower bound on the learning rate of all param groups 2025-07-17T07:12:07.9404756Z or each group respectively. Default: 0. 2025-07-17T07:12:07.9405184Z eps (float): Minimal decay applied to lr. If the difference 2025-07-17T07:12:07.9405649Z between new and old lr is smaller than eps, the update is 2025-07-17T07:12:07.9406053Z ignored. Default: 1e-8. 2025-07-17T07:12:07.9406252Z 2025-07-17T07:12:07.9406354Z Example: 2025-07-17T07:12:07.9406590Z >>> # xdoctest: +SKIP 2025-07-17T07:12:07.9406987Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-07-17T07:12:07.9407491Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-07-17T07:12:07.9407867Z >>> for epoch in range(10): 2025-07-17T07:12:07.9408151Z >>> train(...) 2025-07-17T07:12:07.9408472Z >>> val_loss = validate(...) 2025-07-17T07:12:07.9408842Z >>> # Note that step should be called after validate() 2025-07-17T07:12:07.9409209Z >>> scheduler.step(val_loss) 2025-07-17T07:12:07.9409435Z 2025-07-17T07:12:07.9409638Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-07-17T07:12:07.9410026Z 2025-07-17T07:12:07.9410556Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-07-17T07:12:07.9411082Z 2025-07-17T07:12:07.9411186Z scheduler.step(val_loss) 2025-07-17T07:12:07.9411525Z ^ 2025-07-17T07:12:07.9412203Z msg = Cannot scrape callname=CyclicLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1430. 2025-07-17T07:12:07.9413093Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.9413804Z Sets the learning rate of each parameter group according to cyclical learning rate policy (CLR). 2025-07-17T07:12:07.9414244Z 2025-07-17T07:12:07.9414527Z The policy cycles the learning rate between two boundaries with a constant frequency, 2025-07-17T07:12:07.9415198Z as detailed in the paper `Cyclical Learning Rates for Training Neural Networks`_. 2025-07-17T07:12:07.9415822Z The distance between the two boundaries can be scaled on a per-iteration 2025-07-17T07:12:07.9416257Z or per-cycle basis. 2025-07-17T07:12:07.9416428Z 2025-07-17T07:12:07.9416671Z Cyclical learning rate policy changes the learning rate after every batch. 2025-07-17T07:12:07.9417237Z `step` should be called after a batch has been used for training. 2025-07-17T07:12:07.9417548Z 2025-07-17T07:12:07.9417766Z This class has three built-in policies, as put forth in the paper: 2025-07-17T07:12:07.9418084Z 2025-07-17T07:12:07.9418285Z * "triangular": A basic triangular cycle without amplitude scaling. 2025-07-17T07:12:07.9418908Z * "triangular2": A basic triangular cycle that scales initial amplitude by half each cycle. 2025-07-17T07:12:07.9419739Z * "exp_range": A cycle that scales initial amplitude by :math:`\text{gamma}^{\text{cycle iterations}}` 2025-07-17T07:12:07.9420284Z at each cycle iteration. 2025-07-17T07:12:07.9420468Z 2025-07-17T07:12:07.9420704Z This implementation was adapted from the github repo: `bckenstler/CLR`_ 2025-07-17T07:12:07.9421070Z 2025-07-17T07:12:07.9421151Z Args: 2025-07-17T07:12:07.9421405Z optimizer (Optimizer): Wrapped optimizer. 2025-07-17T07:12:07.9421815Z base_lr (float or list): Initial learning rate which is the 2025-07-17T07:12:07.9422282Z lower boundary in the cycle for each parameter group. 2025-07-17T07:12:07.9422764Z max_lr (float or list): Upper learning rate boundaries in the cycle 2025-07-17T07:12:07.9423212Z for each parameter group. Functionally, 2025-07-17T07:12:07.9423687Z it defines the cycle amplitude (max_lr - base_lr). 2025-07-17T07:12:07.9424318Z The lr at any cycle is the sum of base_lr 2025-07-17T07:12:07.9424926Z and some scaling of the amplitude; therefore 2025-07-17T07:12:07.9425588Z max_lr may not actually be reached depending on 2025-07-17T07:12:07.9426188Z scaling function. 2025-07-17T07:12:07.9426538Z step_size_up (int): Number of training iterations in the 2025-07-17T07:12:07.9426944Z increasing half of a cycle. Default: 2000 2025-07-17T07:12:07.9427365Z step_size_down (int): Number of training iterations in the 2025-07-17T07:12:07.9427832Z decreasing half of a cycle. If step_size_down is None, 2025-07-17T07:12:07.9428244Z it is set to step_size_up. Default: None 2025-07-17T07:12:07.9428638Z mode (str): One of {triangular, triangular2, exp_range}. 2025-07-17T07:12:07.9429066Z Values correspond to policies detailed above. 2025-07-17T07:12:07.9429476Z If scale_fn is not None, this argument is ignored. 2025-07-17T07:12:07.9429882Z Default: 'triangular' 2025-07-17T07:12:07.9430250Z gamma (float): Constant in 'exp_range' scaling function: 2025-07-17T07:12:07.9430646Z gamma**(cycle iterations) 2025-07-17T07:12:07.9430955Z Default: 1.0 2025-07-17T07:12:07.9431300Z scale_fn (function): Custom scaling policy defined by a single 2025-07-17T07:12:07.9431727Z argument lambda function, where 2025-07-17T07:12:07.9432069Z 0 <= scale_fn(x) <= 1 for all x >= 0. 2025-07-17T07:12:07.9432406Z If specified, then 'mode' is ignored. 2025-07-17T07:12:07.9432794Z Default: None 2025-07-17T07:12:07.9433089Z scale_mode (str): {'cycle', 'iterations'}. 2025-07-17T07:12:07.9433445Z Defines whether scale_fn is evaluated on 2025-07-17T07:12:07.9433819Z cycle number or cycle iterations (training 2025-07-17T07:12:07.9434185Z iterations since start of cycle). 2025-07-17T07:12:07.9434496Z Default: 'cycle' 2025-07-17T07:12:07.9434875Z cycle_momentum (bool): If ``True``, momentum is cycled inversely 2025-07-17T07:12:07.9435381Z to learning rate between 'base_momentum' and 'max_momentum'. 2025-07-17T07:12:07.9435776Z Default: True 2025-07-17T07:12:07.9436146Z base_momentum (float or list): Lower momentum boundaries in the cycle 2025-07-17T07:12:07.9436686Z for each parameter group. Note that momentum is cycled inversely 2025-07-17T07:12:07.9437172Z to learning rate; at the peak of a cycle, momentum is 2025-07-17T07:12:07.9437579Z 'base_momentum' and learning rate is 'max_lr'. 2025-07-17T07:12:07.9437929Z Default: 0.8 2025-07-17T07:12:07.9438308Z max_momentum (float or list): Upper momentum boundaries in the cycle 2025-07-17T07:12:07.9438772Z for each parameter group. Functionally, 2025-07-17T07:12:07.9439201Z it defines the cycle amplitude (max_momentum - base_momentum). 2025-07-17T07:12:07.9439696Z The momentum at any cycle is the difference of max_momentum 2025-07-17T07:12:07.9440135Z and some scaling of the amplitude; therefore 2025-07-17T07:12:07.9440544Z base_momentum may not actually be reached depending on 2025-07-17T07:12:07.9441013Z scaling function. Note that momentum is cycled inversely 2025-07-17T07:12:07.9441515Z to learning rate; at the start of a cycle, momentum is 'max_momentum' 2025-07-17T07:12:07.9441958Z and learning rate is 'base_lr' 2025-07-17T07:12:07.9442255Z Default: 0.9 2025-07-17T07:12:07.9442642Z last_epoch (int): The index of the last batch. This parameter is used when 2025-07-17T07:12:07.9443200Z resuming a training job. Since `step()` should be invoked after each 2025-07-17T07:12:07.9443741Z batch instead of after each epoch, this number represents the total 2025-07-17T07:12:07.9443974Z number of *batches* computed, not the total number of epochs computed. 2025-07-17T07:12:07.9444164Z When last_epoch=-1, the schedule is started from the beginning. 2025-07-17T07:12:07.9444326Z Default: -1 2025-07-17T07:12:07.9444345Z 2025-07-17T07:12:07.9444429Z Example: 2025-07-17T07:12:07.9444526Z >>> # xdoctest: +SKIP 2025-07-17T07:12:07.9444764Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-07-17T07:12:07.9444913Z >>> scheduler = torch.optim.lr_scheduler.CyclicLR( 2025-07-17T07:12:07.9445004Z ... optimizer, 2025-07-17T07:12:07.9445106Z ... base_lr=0.01, 2025-07-17T07:12:07.9445199Z ... max_lr=0.1, 2025-07-17T07:12:07.9445294Z ... step_size_up=10, 2025-07-17T07:12:07.9445388Z ... ) 2025-07-17T07:12:07.9445535Z >>> data_loader = torch.utils.data.DataLoader(...) 2025-07-17T07:12:07.9445635Z >>> for epoch in range(10): 2025-07-17T07:12:07.9445752Z >>> for batch in data_loader: 2025-07-17T07:12:07.9445878Z >>> train_batch(...) 2025-07-17T07:12:07.9445991Z >>> scheduler.step() 2025-07-17T07:12:07.9445996Z 2025-07-17T07:12:07.9446156Z .. image:: ../scripts/lr_scheduler_images/CyclicLR.png 2025-07-17T07:12:07.9446161Z 2025-07-17T07:12:07.9446469Z .. _Cyclical Learning Rates for Training Neural Networks: https://arxiv.org/abs/1506.01186 2025-07-17T07:12:07.9446645Z .. _bckenstler/CLR: https://github.com/bckenstler/CLR 2025-07-17T07:12:07.9446726Z 2025-07-17T07:12:07.9446991Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.9447051Z 2025-07-17T07:12:07.9447674Z msg = Cannot scrape callname=CosineAnnealingWarmRestarts in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1713. 2025-07-17T07:12:07.9447934Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.9448195Z Set the learning rate of each parameter group using a cosine annealing schedule. 2025-07-17T07:12:07.9448202Z 2025-07-17T07:12:07.9448383Z The :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}` 2025-07-17T07:12:07.9448629Z is the number of epochs since the last restart and :math:`T_{i}` is the number 2025-07-17T07:12:07.9448760Z of epochs between two warm restarts in SGDR: 2025-07-17T07:12:07.9448764Z 2025-07-17T07:12:07.9448851Z .. math:: 2025-07-17T07:12:07.9449042Z \eta_t = \eta_{min} + \frac{1}{2}(\eta_{max} - \eta_{min})\left(1 + 2025-07-17T07:12:07.9449182Z \cos\left(\frac{T_{cur}}{T_{i}}\pi\right)\right) 2025-07-17T07:12:07.9449190Z 2025-07-17T07:12:07.9449354Z When :math:`T_{cur}=T_{i}`, set :math:`\eta_t = \eta_{min}`. 2025-07-17T07:12:07.9449552Z When :math:`T_{cur}=0` after restart, set :math:`\eta_t=\eta_{max}`. 2025-07-17T07:12:07.9449557Z 2025-07-17T07:12:07.9449657Z It has been proposed in 2025-07-17T07:12:07.9449841Z `SGDR: Stochastic Gradient Descent with Warm Restarts`_. 2025-07-17T07:12:07.9449847Z 2025-07-17T07:12:07.9449929Z Args: 2025-07-17T07:12:07.9450063Z optimizer (Optimizer): Wrapped optimizer. 2025-07-17T07:12:07.9450233Z T_0 (int): Number of iterations until the first restart. 2025-07-17T07:12:07.9450514Z T_mult (int, optional): A factor by which :math:`T_{i}` increases after a restart. Default: 1. 2025-07-17T07:12:07.9450698Z eta_min (float, optional): Minimum learning rate. Default: 0. 2025-07-17T07:12:07.9450918Z last_epoch (int, optional): The index of the last epoch. Default: -1. 2025-07-17T07:12:07.9450922Z 2025-07-17T07:12:07.9451093Z .. _SGDR\: Stochastic Gradient Descent with Warm Restarts: 2025-07-17T07:12:07.9451223Z https://arxiv.org/abs/1608.03983 2025-07-17T07:12:07.9451227Z 2025-07-17T07:12:07.9451311Z Example: 2025-07-17T07:12:07.9451407Z >>> # xdoctest: +SKIP 2025-07-17T07:12:07.9451599Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.05) 2025-07-17T07:12:07.9451823Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts( 2025-07-17T07:12:07.9451982Z ... optimizer, T_0=20 2025-07-17T07:12:07.9452063Z ... ) 2025-07-17T07:12:07.9452163Z >>> for epoch in range(100): 2025-07-17T07:12:07.9452266Z >>> train(...) 2025-07-17T07:12:07.9452358Z >>> validate(...) 2025-07-17T07:12:07.9452456Z >>> scheduler.step() 2025-07-17T07:12:07.9452460Z 2025-07-17T07:12:07.9452704Z .. image:: ../scripts/lr_scheduler_images/CosineAnnealingWarmRestarts.png 2025-07-17T07:12:07.9452783Z 2025-07-17T07:12:07.9453036Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.9453053Z 2025-07-17T07:12:07.9453613Z msg = Cannot scrape callname=OneCycleLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1863. 2025-07-17T07:12:07.9453884Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.9454211Z Sets the learning rate of each parameter group according to the 1cycle learning rate policy. 2025-07-17T07:12:07.9454218Z 2025-07-17T07:12:07.9454507Z The 1cycle policy anneals the learning rate from an initial learning rate to some maximum 2025-07-17T07:12:07.9454807Z learning rate and then from that maximum learning rate to some minimum learning rate much 2025-07-17T07:12:07.9454922Z lower than the initial learning rate. 2025-07-17T07:12:07.9455157Z This policy was initially described in the paper `Super-Convergence: 2025-07-17T07:12:07.9455416Z Very Fast Training of Neural Networks Using Large Learning Rates`_. 2025-07-17T07:12:07.9455420Z 2025-07-17T07:12:07.9455660Z The 1cycle learning rate policy changes the learning rate after every batch. 2025-07-17T07:12:07.9455864Z `step` should be called after a batch has been used for training. 2025-07-17T07:12:07.9455868Z 2025-07-17T07:12:07.9455975Z This scheduler is not chainable. 2025-07-17T07:12:07.9455980Z 2025-07-17T07:12:07.9456233Z Note also that the total number of steps in the cycle can be determined in one 2025-07-17T07:12:07.9456363Z of two ways (listed in order of precedence): 2025-07-17T07:12:07.9456368Z 2025-07-17T07:12:07.9456512Z #. A value for total_steps is explicitly provided. 2025-07-17T07:12:07.9456704Z #. A number of epochs (epochs) and a number of steps per epoch 2025-07-17T07:12:07.9456814Z (steps_per_epoch) are provided. 2025-07-17T07:12:07.9456968Z In this case, the number of total steps is inferred by 2025-07-17T07:12:07.9457102Z total_steps = epochs * steps_per_epoch 2025-07-17T07:12:07.9457107Z 2025-07-17T07:12:07.9457339Z You must either provide a value for total_steps or provide a value for both 2025-07-17T07:12:07.9457455Z epochs and steps_per_epoch. 2025-07-17T07:12:07.9457459Z 2025-07-17T07:12:07.9457759Z The default behaviour of this scheduler follows the fastai implementation of 1cycle, which 2025-07-17T07:12:07.9458048Z claims that "unpublished work has shown even better results by using only two phases". To 2025-07-17T07:12:07.9458303Z mimic the behaviour of the original paper instead, set ``three_phase=True``. 2025-07-17T07:12:07.9458308Z 2025-07-17T07:12:07.9458392Z Args: 2025-07-17T07:12:07.9458534Z optimizer (Optimizer): Wrapped optimizer. 2025-07-17T07:12:07.9458727Z max_lr (float or list): Upper learning rate boundaries in the cycle 2025-07-17T07:12:07.9458833Z for each parameter group. 2025-07-17T07:12:07.9459047Z total_steps (int): The total number of steps in the cycle. Note that 2025-07-17T07:12:07.9459349Z if a value is not provided here, then it must be inferred by providing 2025-07-17T07:12:07.9459473Z a value for epochs and steps_per_epoch. 2025-07-17T07:12:07.9459575Z Default: None 2025-07-17T07:12:07.9459772Z epochs (int): The number of epochs to train for. This is used along 2025-07-17T07:12:07.9460011Z with steps_per_epoch in order to infer the total number of steps in the cycle 2025-07-17T07:12:07.9460191Z if a value for total_steps is not provided. 2025-07-17T07:12:07.9460281Z Default: None 2025-07-17T07:12:07.9460515Z steps_per_epoch (int): The number of steps per epoch to train for. This is 2025-07-17T07:12:07.9460739Z used along with epochs in order to infer the total number of steps in the 2025-07-17T07:12:07.9460885Z cycle if a value for total_steps is not provided. 2025-07-17T07:12:07.9460991Z Default: None 2025-07-17T07:12:07.9461222Z pct_start (float): The percentage of the cycle (in number of steps) spent 2025-07-17T07:12:07.9461338Z increasing the learning rate. 2025-07-17T07:12:07.9461442Z Default: 0.3 2025-07-17T07:12:07.9461565Z anneal_strategy (str): {'cos', 'linear'} 2025-07-17T07:12:07.9461821Z Specifies the annealing strategy: "cos" for cosine annealing, "linear" for 2025-07-17T07:12:07.9461944Z linear annealing. 2025-07-17T07:12:07.9462038Z Default: 'cos' 2025-07-17T07:12:07.9462246Z cycle_momentum (bool): If ``True``, momentum is cycled inversely 2025-07-17T07:12:07.9462429Z to learning rate between 'base_momentum' and 'max_momentum'. 2025-07-17T07:12:07.9462522Z Default: True 2025-07-17T07:12:07.9462745Z base_momentum (float or list): Lower momentum boundaries in the cycle 2025-07-17T07:12:07.9462945Z for each parameter group. Note that momentum is cycled inversely 2025-07-17T07:12:07.9463168Z to learning rate; at the peak of a cycle, momentum is 2025-07-17T07:12:07.9463308Z 'base_momentum' and learning rate is 'max_lr'. 2025-07-17T07:12:07.9463398Z Default: 0.85 2025-07-17T07:12:07.9463618Z max_momentum (float or list): Upper momentum boundaries in the cycle 2025-07-17T07:12:07.9463743Z for each parameter group. Functionally, 2025-07-17T07:12:07.9463932Z it defines the cycle amplitude (max_momentum - base_momentum). 2025-07-17T07:12:07.9464065Z Note that momentum is cycled inversely 2025-07-17T07:12:07.9464272Z to learning rate; at the start of a cycle, momentum is 'max_momentum' 2025-07-17T07:12:07.9464379Z and learning rate is 'base_lr' 2025-07-17T07:12:07.9464481Z Default: 0.95 2025-07-17T07:12:07.9464660Z div_factor (float): Determines the initial learning rate via 2025-07-17T07:12:07.9464777Z initial_lr = max_lr/div_factor 2025-07-17T07:12:07.9464865Z Default: 25 2025-07-17T07:12:07.9465070Z final_div_factor (float): Determines the minimum learning rate via 2025-07-17T07:12:07.9465199Z min_lr = initial_lr/final_div_factor 2025-07-17T07:12:07.9465288Z Default: 1e4 2025-07-17T07:12:07.9465529Z three_phase (bool): If ``True``, use a third phase of the schedule to annihilate the 2025-07-17T07:12:07.9465792Z learning rate according to 'final_div_factor' instead of modifying the second 2025-07-17T07:12:07.9466031Z phase (the first two phases will be symmetrical about the step indicated by 2025-07-17T07:12:07.9466134Z 'pct_start'). 2025-07-17T07:12:07.9466351Z last_epoch (int): The index of the last batch. This parameter is used when 2025-07-17T07:12:07.9466562Z resuming a training job. Since `step()` should be invoked after each 2025-07-17T07:12:07.9466786Z batch instead of after each epoch, this number represents the total 2025-07-17T07:12:07.9467009Z number of *batches* computed, not the total number of epochs computed. 2025-07-17T07:12:07.9467195Z When last_epoch=-1, the schedule is started from the beginning. 2025-07-17T07:12:07.9467297Z Default: -1 2025-07-17T07:12:07.9467302Z 2025-07-17T07:12:07.9467386Z Example: 2025-07-17T07:12:07.9467494Z >>> # xdoctest: +SKIP 2025-07-17T07:12:07.9467642Z >>> data_loader = torch.utils.data.DataLoader(...) 2025-07-17T07:12:07.9467901Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momentum=0.9) 2025-07-17T07:12:07.9468069Z >>> scheduler = torch.optim.lr_scheduler.OneCycleLR( 2025-07-17T07:12:07.9468276Z ... optimizer, max_lr=0.01, steps_per_epoch=len(data_loader), epochs=10 2025-07-17T07:12:07.9468357Z ... ) 2025-07-17T07:12:07.9468468Z >>> for epoch in range(10): 2025-07-17T07:12:07.9468571Z >>> for batch in data_loader: 2025-07-17T07:12:07.9468667Z >>> train_batch(...) 2025-07-17T07:12:07.9468779Z >>> optimizer.step() 2025-07-17T07:12:07.9468873Z >>> scheduler.step() 2025-07-17T07:12:07.9468878Z 2025-07-17T07:12:07.9469054Z .. image:: ../scripts/lr_scheduler_images/OneCycleLR.png 2025-07-17T07:12:07.9469058Z 2025-07-17T07:12:07.9469344Z .. _Super-Convergence\: Very Fast Training of Neural Networks Using Large Learning Rates: 2025-07-17T07:12:07.9469728Z https://arxiv.org/abs/1708.07120 2025-07-17T07:12:07.9469838Z 2025-07-17T07:12:07.9470091Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.9470096Z 2025-07-17T07:12:07.9566251Z msg = Cannot scrape callname=Optimizer.load_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/optimizer.py line=867. 2025-07-17T07:12:07.9566516Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.9566619Z Load the optimizer state. 2025-07-17T07:12:07.9566639Z 2025-07-17T07:12:07.9566901Z Args: 2025-07-17T07:12:07.9567099Z state_dict (dict): optimizer state. Should be an object returned 2025-07-17T07:12:07.9567231Z from a call to :meth:`state_dict`. 2025-07-17T07:12:07.9567236Z 2025-07-17T07:12:07.9567333Z .. warning:: 2025-07-17T07:12:07.9567666Z Make sure this method is called after initializing :class:`torch.optim.lr_scheduler.LRScheduler`, 2025-07-17T07:12:07.9567894Z as calling it beforehand will overwrite the loaded learning rates. 2025-07-17T07:12:07.9567902Z 2025-07-17T07:12:07.9567988Z .. note:: 2025-07-17T07:12:07.9568287Z The names of the parameters (if they exist under the "param_names" key of each param group 2025-07-17T07:12:07.9568458Z in :meth:`state_dict`) will not affect the loading process. 2025-07-17T07:12:07.9568776Z To use the parameters' names for custom cases (such as when the parameters in the loaded state dict 2025-07-17T07:12:07.9568949Z differ from those initialized in the optimizer), 2025-07-17T07:12:07.9569254Z a custom ``register_load_state_dict_pre_hook`` should be implemented to adapt the loaded dict 2025-07-17T07:12:07.9569346Z accordingly. 2025-07-17T07:12:07.9569835Z If ``param_names`` exist in loaded state dict ``param_groups`` they will be saved and override 2025-07-17T07:12:07.9570153Z the current names, if present, in the optimizer state. If they do not exist in loaded state dict, 2025-07-17T07:12:07.9570328Z the optimizer ``param_names`` will remain unchanged. 2025-07-17T07:12:07.9570333Z 2025-07-17T07:12:07.9570419Z Example: 2025-07-17T07:12:07.9570533Z >>> # xdoctest: +SKIP 2025-07-17T07:12:07.9570661Z >>> model = torch.nn.Linear(10, 10) 2025-07-17T07:12:07.9570827Z >>> optim = torch.optim.SGD(model.parameters(), lr=3e-4) 2025-07-17T07:12:07.9570995Z >>> scheduler1 = torch.optim.lr_scheduler.LinearLR( 2025-07-17T07:12:07.9571086Z ... optim, 2025-07-17T07:12:07.9571186Z ... start_factor=0.1, 2025-07-17T07:12:07.9571289Z ... end_factor=1, 2025-07-17T07:12:07.9571383Z ... total_iters=20, 2025-07-17T07:12:07.9571463Z ... ) 2025-07-17T07:12:07.9571664Z >>> scheduler2 = torch.optim.lr_scheduler.CosineAnnealingLR( 2025-07-17T07:12:07.9571754Z ... optim, 2025-07-17T07:12:07.9571904Z ... T_max=80, 2025-07-17T07:12:07.9572009Z ... eta_min=3e-5, 2025-07-17T07:12:07.9572090Z ... ) 2025-07-17T07:12:07.9572244Z >>> lr = torch.optim.lr_scheduler.SequentialLR( 2025-07-17T07:12:07.9572332Z ... optim, 2025-07-17T07:12:07.9572463Z ... schedulers=[scheduler1, scheduler2], 2025-07-17T07:12:07.9572567Z ... milestones=[20], 2025-07-17T07:12:07.9572653Z ... ) 2025-07-17T07:12:07.9572815Z >>> lr.load_state_dict(torch.load("./save_seq.pt")) 2025-07-17T07:12:07.9573014Z >>> # now load the optimizer checkpoint after loading the LRScheduler 2025-07-17T07:12:07.9573180Z >>> optim.load_state_dict(torch.load("./save_optim.pt")) 2025-07-17T07:12:07.9573196Z 2025-07-17T07:12:07.9573276Z 2025-07-17T07:12:07.9573522Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.9573569Z 2025-07-17T07:12:07.9763258Z msg = Cannot scrape callname=AveragedModel in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=120. 2025-07-17T07:12:07.9763750Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.9764161Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA). 2025-07-17T07:12:07.9764168Z 2025-07-17T07:12:07.9764407Z Stochastic Weight Averaging was proposed in `Averaging Weights Leads to 2025-07-17T07:12:07.9764818Z Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii 2025-07-17T07:12:07.9765040Z Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson 2025-07-17T07:12:07.9765127Z (UAI 2018). 2025-07-17T07:12:07.9765131Z 2025-07-17T07:12:07.9765361Z Exponential Moving Average is a variation of `Polyak averaging`_, 2025-07-17T07:12:07.9765601Z but using exponential weights instead of equal weights across iterations. 2025-07-17T07:12:07.9765612Z 2025-07-17T07:12:07.9765862Z AveragedModel class creates a copy of the provided module :attr:`model` 2025-07-17T07:12:07.9766079Z on the device :attr:`device` and allows to compute running averages of the 2025-07-17T07:12:07.9766193Z parameters of the :attr:`model`. 2025-07-17T07:12:07.9766198Z 2025-07-17T07:12:07.9766291Z Args: 2025-07-17T07:12:07.9766441Z model (torch.nn.Module): model to use with SWA/EMA 2025-07-17T07:12:07.9766671Z device (torch.device, optional): if provided, the averaged model will be 2025-07-17T07:12:07.9766795Z stored on the :attr:`device` 2025-07-17T07:12:07.9766998Z avg_fn (function, optional): the averaging function used to update 2025-07-17T07:12:07.9767207Z parameters; the function must take in the current value of the 2025-07-17T07:12:07.9767424Z :class:`AveragedModel` parameter, the current value of :attr:`model` 2025-07-17T07:12:07.9767618Z parameter, and the number of models already averaged; if None, 2025-07-17T07:12:07.9767788Z an equally weighted average is used (default: None) 2025-07-17T07:12:07.9768012Z multi_avg_fn (function, optional): the averaging function used to update 2025-07-17T07:12:07.9768245Z parameters inplace; the function must take in the current values of the 2025-07-17T07:12:07.9768524Z :class:`AveragedModel` parameters as a list, the current values of :attr:`model` 2025-07-17T07:12:07.9768750Z parameters as a list, and the number of models already averaged; if None, 2025-07-17T07:12:07.9768917Z an equally weighted average is used (default: None) 2025-07-17T07:12:07.9769117Z use_buffers (bool): if ``True``, it will compute running averages for 2025-07-17T07:12:07.9769336Z both the parameters and the buffers of the model. (default: ``False``) 2025-07-17T07:12:07.9769341Z 2025-07-17T07:12:07.9769602Z Example: 2025-07-17T07:12:07.9769768Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:07.9769947Z >>> loader, optimizer, model, loss_fn = ... 2025-07-17T07:12:07.9770133Z >>> swa_model = torch.optim.swa_utils.AveragedModel(model) 2025-07-17T07:12:07.9770355Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, 2025-07-17T07:12:07.9770480Z >>> T_max=300) 2025-07-17T07:12:07.9770574Z >>> swa_start = 160 2025-07-17T07:12:07.9770716Z >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05) 2025-07-17T07:12:07.9770839Z >>> for i in range(300): 2025-07-17T07:12:07.9770951Z >>> for input, target in loader: 2025-07-17T07:12:07.9771060Z >>> optimizer.zero_grad() 2025-07-17T07:12:07.9771207Z >>> loss_fn(model(input), target).backward() 2025-07-17T07:12:07.9771310Z >>> optimizer.step() 2025-07-17T07:12:07.9771417Z >>> if i > swa_start: 2025-07-17T07:12:07.9771649Z >>> swa_model.update_parameters(model) 2025-07-17T07:12:07.9771759Z >>> swa_scheduler.step() 2025-07-17T07:12:07.9771869Z >>> else: 2025-07-17T07:12:07.9772028Z >>> scheduler.step() 2025-07-17T07:12:07.9772159Z >>> 2025-07-17T07:12:07.9772345Z >>> # Update bn statistics for the swa_model at the end 2025-07-17T07:12:07.9772578Z >>> torch.optim.swa_utils.update_bn(loader, swa_model) 2025-07-17T07:12:07.9772585Z 2025-07-17T07:12:07.9773091Z You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters. 2025-07-17T07:12:07.9773355Z If no averaging function is provided, the default is to compute 2025-07-17T07:12:07.9773582Z equally-weighted average of the weights (SWA). 2025-07-17T07:12:07.9773590Z 2025-07-17T07:12:07.9773754Z Example: 2025-07-17T07:12:07.9773991Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:07.9774384Z >>> # Compute exponential moving averages of the weights and buffers 2025-07-17T07:12:07.9774592Z >>> ema_model = torch.optim.swa_utils.AveragedModel(model, 2025-07-17T07:12:07.9774803Z >>> torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True) 2025-07-17T07:12:07.9774808Z 2025-07-17T07:12:07.9774916Z .. note:: 2025-07-17T07:12:07.9775132Z When using SWA/EMA with models containing Batch Normalization you may 2025-07-17T07:12:07.9775336Z need to update the activation statistics for Batch Normalization. 2025-07-17T07:12:07.9775581Z This can be done either by using the :meth:`torch.optim.swa_utils.update_bn` 2025-07-17T07:12:07.9775802Z or by setting :attr:`use_buffers` to `True`. The first approach updates the 2025-07-17T07:12:07.9776037Z statistics in a post-training step by passing data through the model. The 2025-07-17T07:12:07.9776285Z second does it during the parameter update phase by averaging all buffers. 2025-07-17T07:12:07.9776532Z Empirical evidence has shown that updating the statistics in normalization 2025-07-17T07:12:07.9776769Z layers increases accuracy, but you may wish to empirically test which 2025-07-17T07:12:07.9776923Z approach yields the best results in your problem. 2025-07-17T07:12:07.9776927Z 2025-07-17T07:12:07.9777011Z .. note:: 2025-07-17T07:12:07.9777273Z :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model. 2025-07-17T07:12:07.9777277Z 2025-07-17T07:12:07.9777360Z .. note:: 2025-07-17T07:12:07.9777559Z When :meth:`update_parameters` is called for the first time (i.e. 2025-07-17T07:12:07.9777751Z :attr:`n_averaged` is `0`) the parameters of `model` are copied 2025-07-17T07:12:07.9777950Z to the parameters of :class:`AveragedModel`. For every subsequent 2025-07-17T07:12:07.9778146Z call of :meth:`update_parameters` the function `avg_fn` is used 2025-07-17T07:12:07.9778256Z to update the parameters. 2025-07-17T07:12:07.9778262Z 2025-07-17T07:12:07.9778525Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2025-07-17T07:12:07.9778676Z https://arxiv.org/abs/1803.05407 2025-07-17T07:12:07.9778907Z .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should 2025-07-17T07:12:07.9778989Z Average: 2025-07-17T07:12:07.9779181Z https://arxiv.org/abs/1806.05594 2025-07-17T07:12:07.9779379Z .. _SWALP: Stochastic Weight Averaging in Low-Precision Training: 2025-07-17T07:12:07.9779501Z https://arxiv.org/abs/1904.11943 2025-07-17T07:12:07.9779724Z .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That 2025-07-17T07:12:07.9779820Z Generalizes Well: 2025-07-17T07:12:07.9779942Z https://arxiv.org/abs/2001.02312 2025-07-17T07:12:07.9780036Z .. _Polyak averaging: 2025-07-17T07:12:07.9780200Z https://paperswithcode.com/method/polyak-averaging 2025-07-17T07:12:07.9780327Z 2025-07-17T07:12:07.9780572Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.9780579Z 2025-07-17T07:12:07.9781090Z msg = Cannot scrape callname=SWALR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=375. 2025-07-17T07:12:07.9781347Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:07.9781556Z Anneals the learning rate in each parameter group to a fixed value. 2025-07-17T07:12:07.9781572Z 2025-07-17T07:12:07.9781862Z This learning rate scheduler is meant to be used with Stochastic Weight 2025-07-17T07:12:07.9782072Z Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`). 2025-07-17T07:12:07.9782076Z 2025-07-17T07:12:07.9782170Z Args: 2025-07-17T07:12:07.9782337Z optimizer (torch.optim.Optimizer): wrapped optimizer 2025-07-17T07:12:07.9782541Z swa_lrs (float or list): the learning rate value for all param groups 2025-07-17T07:12:07.9782680Z together or separately for each group. 2025-07-17T07:12:07.9782879Z annealing_epochs (int): number of epochs in the annealing phase 2025-07-17T07:12:07.9782981Z (default: 10) 2025-07-17T07:12:07.9783192Z annealing_strategy (str): "cos" or "linear"; specifies the annealing 2025-07-17T07:12:07.9783396Z strategy: "cos" for cosine annealing, "linear" for linear annealing 2025-07-17T07:12:07.9783508Z (default: "cos") 2025-07-17T07:12:07.9783690Z last_epoch (int): the index of the last epoch (default: -1) 2025-07-17T07:12:07.9783695Z 2025-07-17T07:12:07.9783873Z The :class:`SWALR` scheduler can be used together with other 2025-07-17T07:12:07.9784103Z schedulers to switch to a constant learning rate late in the training 2025-07-17T07:12:07.9784204Z as in the example below. 2025-07-17T07:12:07.9784208Z 2025-07-17T07:12:07.9784303Z Example: 2025-07-17T07:12:07.9784433Z >>> # xdoctest: +SKIP("Undefined variables") 2025-07-17T07:12:07.9784546Z >>> loader, optimizer, model = ... 2025-07-17T07:12:07.9784668Z >>> lr_lambda = lambda epoch: 0.9 2025-07-17T07:12:07.9784886Z >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer, 2025-07-17T07:12:07.9784985Z >>> lr_lambda=lr_lambda) 2025-07-17T07:12:07.9785165Z >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer, 2025-07-17T07:12:07.9785339Z >>> anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05) 2025-07-17T07:12:07.9785442Z >>> swa_start = 160 2025-07-17T07:12:07.9785543Z >>> for i in range(300): 2025-07-17T07:12:07.9785652Z >>> for input, target in loader: 2025-07-17T07:12:07.9785772Z >>> optimizer.zero_grad() 2025-07-17T07:12:07.9785904Z >>> loss_fn(model(input), target).backward() 2025-07-17T07:12:07.9786007Z >>> optimizer.step() 2025-07-17T07:12:07.9786112Z >>> if i > swa_start: 2025-07-17T07:12:07.9786216Z >>> swa_scheduler.step() 2025-07-17T07:12:07.9786327Z >>> else: 2025-07-17T07:12:07.9786437Z >>> scheduler.step() 2025-07-17T07:12:07.9786442Z 2025-07-17T07:12:07.9786660Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2025-07-17T07:12:07.9786783Z https://arxiv.org/abs/1803.05407 2025-07-17T07:12:07.9786861Z 2025-07-17T07:12:07.9787110Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:07.9787114Z 2025-07-17T07:12:08.4844097Z msg = Cannot scrape callname=assert_close in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_comparison.py line=1331. 2025-07-17T07:12:08.4845062Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:08.4845593Z Asserts that ``actual`` and ``expected`` are close. 2025-07-17T07:12:08.4845853Z 2025-07-17T07:12:08.4846219Z If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if 2025-07-17T07:12:08.4846927Z 2025-07-17T07:12:08.4847031Z .. math:: 2025-07-17T07:12:08.4847159Z 2025-07-17T07:12:08.4847535Z \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert 2025-07-17T07:12:08.4848015Z 2025-07-17T07:12:08.4848366Z Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are 2025-07-17T07:12:08.4849021Z only considered equal to each other if ``equal_nan`` is ``True``. 2025-07-17T07:12:08.4849462Z 2025-07-17T07:12:08.4849658Z In addition, they are only considered close if they have the same 2025-07-17T07:12:08.4849972Z 2025-07-17T07:12:08.4850174Z - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``), 2025-07-17T07:12:08.4850612Z - ``dtype`` (if ``check_dtype`` is ``True``), 2025-07-17T07:12:08.4850980Z - ``layout`` (if ``check_layout`` is ``True``), and 2025-07-17T07:12:08.4851360Z - stride (if ``check_stride`` is ``True``). 2025-07-17T07:12:08.4851593Z 2025-07-17T07:12:08.4851898Z If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed. 2025-07-17T07:12:08.4852308Z 2025-07-17T07:12:08.4852662Z If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are 2025-07-17T07:12:08.4853513Z checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR, 2025-07-17T07:12:08.4854236Z or ``ccol_indices`` and ``row_indices`` for CSC and BSC layouts, respectively, 2025-07-17T07:12:08.4854971Z are always checked for equality whereas the values are checked for closeness according to the definition above. 2025-07-17T07:12:08.4855471Z 2025-07-17T07:12:08.4855750Z If ``actual`` and ``expected`` are quantized, they are considered close if they have the same 2025-07-17T07:12:08.4856508Z :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the 2025-07-17T07:12:08.4857081Z definition above. 2025-07-17T07:12:08.4857234Z 2025-07-17T07:12:08.4857548Z ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which 2025-07-17T07:12:08.4858334Z :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types 2025-07-17T07:12:08.4859258Z have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s 2025-07-17T07:12:08.4860126Z or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all 2025-07-17T07:12:08.4860902Z their elements are considered close according to the above definition. 2025-07-17T07:12:08.4861255Z 2025-07-17T07:12:08.4861345Z .. note:: 2025-07-17T07:12:08.4861474Z 2025-07-17T07:12:08.4861817Z Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e. 2025-07-17T07:12:08.4862654Z :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus, 2025-07-17T07:12:08.4863375Z Python scalars of different types can be checked, but require ``check_dtype=False``. 2025-07-17T07:12:08.4863782Z 2025-07-17T07:12:08.4863864Z Args: 2025-07-17T07:12:08.4864090Z actual (Any): Actual input. 2025-07-17T07:12:08.4864393Z expected (Any): Expected input. 2025-07-17T07:12:08.4864979Z allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types 2025-07-17T07:12:08.4865614Z are allowed. Otherwise type equality is required. 2025-07-17T07:12:08.4866239Z rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default 2025-07-17T07:12:08.4866980Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2025-07-17T07:12:08.4867756Z atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default 2025-07-17T07:12:08.4868492Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2025-07-17T07:12:08.4869105Z equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal. 2025-07-17T07:12:08.4869936Z check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same 2025-07-17T07:12:08.4870680Z :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different 2025-07-17T07:12:08.4871279Z :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared. 2025-07-17T07:12:08.4871971Z check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this 2025-07-17T07:12:08.4872784Z check is disabled, tensors with different ``dtype``'s are promoted to a common ``dtype`` (according to 2025-07-17T07:12:08.4873407Z :func:`torch.promote_types`) before being compared. 2025-07-17T07:12:08.4874033Z check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this 2025-07-17T07:12:08.4874828Z check is disabled, tensors with different ``layout``'s are converted to strided tensors before being 2025-07-17T07:12:08.4875368Z compared. 2025-07-17T07:12:08.4875888Z check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride. 2025-07-17T07:12:08.4876717Z msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during 2025-07-17T07:12:08.4877548Z the comparison. Can also passed as callable in which case it will be called with the generated message and 2025-07-17T07:12:08.4878139Z should return the new message. 2025-07-17T07:12:08.4878360Z 2025-07-17T07:12:08.4878451Z Raises: 2025-07-17T07:12:08.4878795Z ValueError: If no :class:`torch.Tensor` can be constructed from an input. 2025-07-17T07:12:08.4879308Z ValueError: If only ``rtol`` or ``atol`` is specified. 2025-07-17T07:12:08.4879907Z AssertionError: If corresponding inputs are not Python scalars and are not directly related. 2025-07-17T07:12:08.4880713Z AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have 2025-07-17T07:12:08.4881283Z different types. 2025-07-17T07:12:08.4881828Z AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match. 2025-07-17T07:12:08.4882671Z AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match. 2025-07-17T07:12:08.4883459Z AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`. 2025-07-17T07:12:08.4884196Z AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same 2025-07-17T07:12:08.4884787Z :attr:`~torch.Tensor.layout`. 2025-07-17T07:12:08.4885240Z AssertionError: If only one of corresponding tensors is quantized. 2025-07-17T07:12:08.4885957Z AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s. 2025-07-17T07:12:08.4886761Z AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same 2025-07-17T07:12:08.4887295Z :attr:`~torch.Tensor.device`. 2025-07-17T07:12:08.4887856Z AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``. 2025-07-17T07:12:08.4888650Z AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride. 2025-07-17T07:12:08.4889498Z AssertionError: If the values of corresponding tensors are not close according to the definition above. 2025-07-17T07:12:08.4890023Z 2025-07-17T07:12:08.4890393Z The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching 2025-07-17T07:12:08.4891023Z ``dtype``'s, the maximum of both tolerances is used. 2025-07-17T07:12:08.4891276Z 2025-07-17T07:12:08.4891406Z +---------------------------+------------+----------+ 2025-07-17T07:12:08.4891775Z | ``dtype`` | ``rtol`` | ``atol`` | 2025-07-17T07:12:08.4892122Z +===========================+============+==========+ 2025-07-17T07:12:08.4892529Z | :attr:`~torch.float16` | ``1e-3`` | ``1e-5`` | 2025-07-17T07:12:08.4892904Z +---------------------------+------------+----------+ 2025-07-17T07:12:08.4893275Z | :attr:`~torch.bfloat16` | ``1.6e-2`` | ``1e-5`` | 2025-07-17T07:12:08.4893821Z +---------------------------+------------+----------+ 2025-07-17T07:12:08.4894184Z | :attr:`~torch.float32` | ``1.3e-6`` | ``1e-5`` | 2025-07-17T07:12:08.4894625Z +---------------------------+------------+----------+ 2025-07-17T07:12:08.4894997Z | :attr:`~torch.float64` | ``1e-7`` | ``1e-7`` | 2025-07-17T07:12:08.4895411Z +---------------------------+------------+----------+ 2025-07-17T07:12:08.4895781Z | :attr:`~torch.complex32` | ``1e-3`` | ``1e-5`` | 2025-07-17T07:12:08.4896208Z +---------------------------+------------+----------+ 2025-07-17T07:12:08.4896566Z | :attr:`~torch.complex64` | ``1.3e-6`` | ``1e-5`` | 2025-07-17T07:12:08.4897000Z +---------------------------+------------+----------+ 2025-07-17T07:12:08.4897377Z | :attr:`~torch.complex128` | ``1e-7`` | ``1e-7`` | 2025-07-17T07:12:08.4897811Z +---------------------------+------------+----------+ 2025-07-17T07:12:08.4898170Z | :attr:`~torch.quint8` | ``1.3e-6`` | ``1e-5`` | 2025-07-17T07:12:08.4898595Z +---------------------------+------------+----------+ 2025-07-17T07:12:08.4898986Z | :attr:`~torch.quint2x4` | ``1.3e-6`` | ``1e-5`` | 2025-07-17T07:12:08.4899435Z +---------------------------+------------+----------+ 2025-07-17T07:12:08.4899858Z | :attr:`~torch.quint4x2` | ``1.3e-6`` | ``1e-5`` | 2025-07-17T07:12:08.4900230Z +---------------------------+------------+----------+ 2025-07-17T07:12:08.4900650Z | :attr:`~torch.qint8` | ``1.3e-6`` | ``1e-5`` | 2025-07-17T07:12:08.4901003Z +---------------------------+------------+----------+ 2025-07-17T07:12:08.4901426Z | :attr:`~torch.qint32` | ``1.3e-6`` | ``1e-5`` | 2025-07-17T07:12:08.4901798Z +---------------------------+------------+----------+ 2025-07-17T07:12:08.4902196Z | other | ``0.0`` | ``0.0`` | 2025-07-17T07:12:08.4902553Z +---------------------------+------------+----------+ 2025-07-17T07:12:08.4902790Z 2025-07-17T07:12:08.4902938Z .. note:: 2025-07-17T07:12:08.4903067Z 2025-07-17T07:12:08.4903460Z :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged 2025-07-17T07:12:08.4904485Z to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might 2025-07-17T07:12:08.4905274Z define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default: 2025-07-17T07:12:08.4905651Z 2025-07-17T07:12:08.4905763Z >>> import functools 2025-07-17T07:12:08.4906240Z >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0) 2025-07-17T07:12:08.4906786Z >>> assert_equal(1e-9, 1e-10) 2025-07-17T07:12:08.4907116Z Traceback (most recent call last): 2025-07-17T07:12:08.4907452Z ... 2025-07-17T07:12:08.4907710Z AssertionError: Scalars are not equal! 2025-07-17T07:12:08.4908036Z 2025-07-17T07:12:08.4908294Z Expected 1e-10 but got 1e-09. 2025-07-17T07:12:08.4908617Z Absolute difference: 9.000000000000001e-10 2025-07-17T07:12:08.4908959Z Relative difference: 9.0 2025-07-17T07:12:08.4909195Z 2025-07-17T07:12:08.4909298Z Examples: 2025-07-17T07:12:08.4909526Z >>> # tensor to tensor comparison 2025-07-17T07:12:08.4909874Z >>> expected = torch.tensor([1e0, 1e-1, 1e-2]) 2025-07-17T07:12:08.4910250Z >>> actual = torch.acos(torch.cos(expected)) 2025-07-17T07:12:08.4910641Z >>> torch.testing.assert_close(actual, expected) 2025-07-17T07:12:08.4910893Z 2025-07-17T07:12:08.4911000Z >>> # scalar to scalar comparison 2025-07-17T07:12:08.4911308Z >>> import math 2025-07-17T07:12:08.4911647Z >>> expected = math.sqrt(2.0) 2025-07-17T07:12:08.4911952Z >>> actual = 2.0 / math.sqrt(2.0) 2025-07-17T07:12:08.4912310Z >>> torch.testing.assert_close(actual, expected) 2025-07-17T07:12:08.4912560Z 2025-07-17T07:12:08.4912699Z >>> # numpy array to numpy array comparison 2025-07-17T07:12:08.4913030Z >>> import numpy as np 2025-07-17T07:12:08.4913337Z >>> expected = np.array([1e0, 1e-1, 1e-2]) 2025-07-17T07:12:08.4913695Z >>> actual = np.arccos(np.cos(expected)) 2025-07-17T07:12:08.4914074Z >>> torch.testing.assert_close(actual, expected) 2025-07-17T07:12:08.4914326Z 2025-07-17T07:12:08.4914443Z >>> # sequence to sequence comparison 2025-07-17T07:12:08.4914774Z >>> import numpy as np 2025-07-17T07:12:08.4915205Z >>> # The types of the sequences do not have to match. They only have to have the same 2025-07-17T07:12:08.4915691Z >>> # length and their elements have to match. 2025-07-17T07:12:08.4916086Z >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)] 2025-07-17T07:12:08.4916455Z >>> actual = tuple(expected) 2025-07-17T07:12:08.4916802Z >>> torch.testing.assert_close(actual, expected) 2025-07-17T07:12:08.4917050Z 2025-07-17T07:12:08.4917162Z >>> # mapping to mapping comparison 2025-07-17T07:12:08.4917508Z >>> from collections import OrderedDict 2025-07-17T07:12:08.4917847Z >>> import numpy as np 2025-07-17T07:12:08.4918124Z >>> foo = torch.tensor(1.0) 2025-07-17T07:12:08.4918412Z >>> bar = 2.0 2025-07-17T07:12:08.4918665Z >>> baz = np.array(3.0) 2025-07-17T07:12:08.4919089Z >>> # The types and a possible ordering of mappings do not have to match. They only 2025-07-17T07:12:08.4919660Z >>> # have to have the same set of keys and their elements have to match. 2025-07-17T07:12:08.4920185Z >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)]) 2025-07-17T07:12:08.4920642Z >>> actual = {"baz": baz, "bar": bar, "foo": foo} 2025-07-17T07:12:08.4921026Z >>> torch.testing.assert_close(actual, expected) 2025-07-17T07:12:08.4921289Z 2025-07-17T07:12:08.4921411Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2025-07-17T07:12:08.4921755Z >>> actual = expected.clone() 2025-07-17T07:12:08.4922118Z >>> # By default, directly related instances can be compared 2025-07-17T07:12:08.4922618Z >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected) 2025-07-17T07:12:08.4923182Z >>> # This check can be made more strict with allow_subclasses=False 2025-07-17T07:12:08.4923610Z >>> torch.testing.assert_close( 2025-07-17T07:12:08.4924018Z ... torch.nn.Parameter(actual), expected, allow_subclasses=False 2025-07-17T07:12:08.4924426Z ... ) 2025-07-17T07:12:08.4924673Z Traceback (most recent call last): 2025-07-17T07:12:08.4924970Z ... 2025-07-17T07:12:08.4925298Z TypeError: No comparison pair was able to handle inputs of type 2025-07-17T07:12:08.4925846Z and . 2025-07-17T07:12:08.4926392Z >>> # If the inputs are not directly related, they are never considered close 2025-07-17T07:12:08.4926914Z >>> torch.testing.assert_close(actual.numpy(), expected) 2025-07-17T07:12:08.4927315Z Traceback (most recent call last): 2025-07-17T07:12:08.4927621Z ... 2025-07-17T07:12:08.4928048Z TypeError: No comparison pair was able to handle inputs of type 2025-07-17T07:12:08.4928565Z and . 2025-07-17T07:12:08.4929033Z >>> # Exceptions to these rules are Python scalars. They can be checked regardless of 2025-07-17T07:12:08.4929522Z >>> # their type if check_dtype=False. 2025-07-17T07:12:08.4929922Z >>> torch.testing.assert_close(1.0, 1, check_dtype=False) 2025-07-17T07:12:08.4930214Z 2025-07-17T07:12:08.4930311Z >>> # NaN != NaN by default. 2025-07-17T07:12:08.4930691Z >>> expected = torch.tensor(float("Nan")) 2025-07-17T07:12:08.4931021Z >>> actual = expected.clone() 2025-07-17T07:12:08.4931376Z >>> torch.testing.assert_close(actual, expected) 2025-07-17T07:12:08.4931745Z Traceback (most recent call last): 2025-07-17T07:12:08.4932037Z ... 2025-07-17T07:12:08.4932283Z AssertionError: Scalars are not close! 2025-07-17T07:12:08.4932607Z 2025-07-17T07:12:08.4932841Z Expected nan but got nan. 2025-07-17T07:12:08.4933181Z Absolute difference: nan (up to 1e-05 allowed) 2025-07-17T07:12:08.4933577Z Relative difference: nan (up to 1.3e-06 allowed) 2025-07-17T07:12:08.4934015Z >>> torch.testing.assert_close(actual, expected, equal_nan=True) 2025-07-17T07:12:08.4934359Z 2025-07-17T07:12:08.4934482Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2025-07-17T07:12:08.4934837Z >>> actual = torch.tensor([1.0, 4.0, 5.0]) 2025-07-17T07:12:08.4935203Z >>> # The default error message can be overwritten. 2025-07-17T07:12:08.4935746Z >>> torch.testing.assert_close(actual, expected, msg="Argh, the tensors are not close!") 2025-07-17T07:12:08.4936274Z Traceback (most recent call last): 2025-07-17T07:12:08.4936584Z ... 2025-07-17T07:12:08.4936850Z AssertionError: Argh, the tensors are not close! 2025-07-17T07:12:08.4937333Z >>> # If msg is a callable, it can be used to augment the generated message with 2025-07-17T07:12:08.4937775Z >>> # extra information 2025-07-17T07:12:08.4938055Z >>> torch.testing.assert_close( 2025-07-17T07:12:08.4938470Z ... actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter" 2025-07-17T07:12:08.4938872Z ... ) 2025-07-17T07:12:08.4939192Z Traceback (most recent call last): 2025-07-17T07:12:08.4939505Z ... 2025-07-17T07:12:08.4939733Z AssertionError: Header 2025-07-17T07:12:08.4939997Z 2025-07-17T07:12:08.4940255Z Tensor-likes are not close! 2025-07-17T07:12:08.4940552Z 2025-07-17T07:12:08.4940808Z Mismatched elements: 2 / 3 (66.7%) 2025-07-17T07:12:08.4941237Z Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed) 2025-07-17T07:12:08.4941808Z Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed) 2025-07-17T07:12:08.4942242Z 2025-07-17T07:12:08.4942459Z Footer 2025-07-17T07:12:08.4942725Z 2025-07-17T07:12:08.4943088Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:08.4943453Z 2025-07-17T07:12:09.8288850Z msg = Cannot scrape callname=register_pytree_node in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py line=134. 2025-07-17T07:12:09.8289806Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:09.8290339Z Register a container-like type as pytree node. 2025-07-17T07:12:09.8290605Z 2025-07-17T07:12:09.8290713Z Args: 2025-07-17T07:12:09.8291026Z cls (type): A Python type to treat as an internal pytree node. 2025-07-17T07:12:09.8291592Z flatten_fn (callable): A function to be used during flattening, taking an instance of 2025-07-17T07:12:09.8292231Z ``cls`` and returning a pair, with (1) an iterable for the children to be flattened 2025-07-17T07:12:09.8292898Z recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be 2025-07-17T07:12:09.8293654Z passed to the ``unflatten_fn``. 2025-07-17T07:12:09.8294146Z unflatten_fn (callable): A function taking two arguments: the auxiliary data that was 2025-07-17T07:12:09.8294806Z returned by ``flatten_fn`` and stored in the treespec, and the unflattened children. 2025-07-17T07:12:09.8295342Z The function should return an instance of ``cls``. 2025-07-17T07:12:09.8295966Z serialized_type_name (str, optional): A keyword argument used to specify the fully 2025-07-17T07:12:09.8296526Z qualified name used when serializing the tree spec. 2025-07-17T07:12:09.8297114Z to_dumpable_context (callable, optional): An optional keyword argument to custom specify how 2025-07-17T07:12:09.8297828Z to convert the context of the pytree to a custom json dumpable representation. This is 2025-07-17T07:12:09.8298484Z used for json serialization, which is being used in :mod:`torch.export` right now. 2025-07-17T07:12:09.8299262Z from_dumpable_context (callable, optional): An optional keyword argument to custom specify 2025-07-17T07:12:09.8299955Z how to convert the custom json dumpable representation of the context back to the 2025-07-17T07:12:09.8300602Z original context. This is used for json deserialization, which is being used in 2025-07-17T07:12:09.8301088Z :mod:`torch.export` right now. 2025-07-17T07:12:09.8301323Z 2025-07-17T07:12:09.8301431Z Example:: 2025-07-17T07:12:09.8301565Z 2025-07-17T07:12:09.8301676Z >>> # xdoctest: +SKIP 2025-07-17T07:12:09.8301991Z >>> # Registry a Python type with lambda functions 2025-07-17T07:12:09.8302349Z >>> register_pytree_node( 2025-07-17T07:12:09.8302631Z ... set, 2025-07-17T07:12:09.8302888Z ... lambda s: (sorted(s), None, None), 2025-07-17T07:12:09.8303244Z ... lambda children, _: set(children), 2025-07-17T07:12:09.8303565Z ... ) 2025-07-17T07:12:09.8303778Z 2025-07-17T07:12:09.8304131Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:09.8304511Z 2025-07-17T07:12:09.8966963Z msg = Cannot scrape callname=SelectiveCheckpointContext in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1218. 2025-07-17T07:12:09.8967994Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:09.8968378Z 2025-07-17T07:12:09.8968657Z Context passed to policy function during selective checkpointing. 2025-07-17T07:12:09.8968981Z 2025-07-17T07:12:09.8969205Z This class is used to pass relevant metadata to the policy function during 2025-07-17T07:12:09.8970052Z selective checkpointing. The metadata includes whether the current invocation 2025-07-17T07:12:09.8970612Z of the policy function is during recomputation or not. 2025-07-17T07:12:09.8970881Z 2025-07-17T07:12:09.8970988Z Example: 2025-07-17T07:12:09.8971203Z >>> # xdoctest: +SKIP(stub) 2025-07-17T07:12:09.8971763Z >>> 2025-07-17T07:12:09.8972105Z >>> def policy_fn(ctx, op, *args, **kwargs): 2025-07-17T07:12:09.8972534Z >>> print(ctx.is_recompute) 2025-07-17T07:12:09.8972928Z >>> 2025-07-17T07:12:09.8973602Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2025-07-17T07:12:09.8974241Z >>> 2025-07-17T07:12:09.8974497Z >>> out = torch.utils.checkpoint.checkpoint( 2025-07-17T07:12:09.8974836Z >>> fn, x, y, 2025-07-17T07:12:09.8975087Z >>> use_reentrant=False, 2025-07-17T07:12:09.8975377Z >>> context_fn=context_fn, 2025-07-17T07:12:09.8975658Z >>> ) 2025-07-17T07:12:09.8975772Z 2025-07-17T07:12:09.8976038Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:09.8976406Z 2025-07-17T07:12:09.8977051Z msg = Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1358. 2025-07-17T07:12:09.8978163Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:09.8978553Z 2025-07-17T07:12:09.8978788Z Helper to avoid recomputing certain ops during activation checkpointing. 2025-07-17T07:12:09.8979211Z 2025-07-17T07:12:09.8979438Z Use this with `torch.utils.checkpoint.checkpoint` to control which 2025-07-17T07:12:09.8979915Z operations are recomputed during the backward pass. 2025-07-17T07:12:09.8980195Z 2025-07-17T07:12:09.8980274Z Args: 2025-07-17T07:12:09.8980621Z policy_fn_or_list (Callable or List): 2025-07-17T07:12:09.8981016Z - If a policy function is provided, it should accept a 2025-07-17T07:12:09.8981522Z :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and 2025-07-17T07:12:09.8982088Z kwargs to the op, and return a :class:`CheckpointPolicy` enum value 2025-07-17T07:12:09.8982654Z indicating whether the execution of the op should be recomputed or not. 2025-07-17T07:12:09.8983205Z - If a list of operations is provided, it is equivalent to a policy 2025-07-17T07:12:09.8983708Z returning `CheckpointPolicy.MUST_SAVE` for the specified 2025-07-17T07:12:09.8984224Z operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other 2025-07-17T07:12:09.8984655Z operations. 2025-07-17T07:12:09.8985002Z allow_cache_entry_mutation (bool, optional): By default, an error is 2025-07-17T07:12:09.8985550Z raised if any tensors cached by selective activation checkpoint are 2025-07-17T07:12:09.8986097Z mutated in order to ensure correctness. If set to `True`, this check 2025-07-17T07:12:09.8986504Z is disabled. 2025-07-17T07:12:09.8986746Z Returns: 2025-07-17T07:12:09.8986974Z A tuple of two context managers. 2025-07-17T07:12:09.8987178Z 2025-07-17T07:12:09.8987260Z Example: 2025-07-17T07:12:09.8987484Z >>> # xdoctest: +REQUIRES(LINUX) 2025-07-17T07:12:09.8987785Z >>> import functools 2025-07-17T07:12:09.8988021Z >>> 2025-07-17T07:12:09.8988261Z >>> x = torch.rand(10, 10, requires_grad=True) 2025-07-17T07:12:09.8988620Z >>> y = torch.rand(10, 10, requires_grad=True) 2025-07-17T07:12:09.8988934Z >>> 2025-07-17T07:12:09.8989129Z >>> ops_to_save = [ 2025-07-17T07:12:09.8989402Z >>> torch.ops.aten.mm.default, 2025-07-17T07:12:09.8989699Z >>> ] 2025-07-17T07:12:09.8989886Z >>> 2025-07-17T07:12:09.8990125Z >>> def policy_fn(ctx, op, *args, **kwargs): 2025-07-17T07:12:09.8990461Z >>> if op in ops_to_save: 2025-07-17T07:12:09.8990771Z >>> return CheckpointPolicy.MUST_SAVE 2025-07-17T07:12:09.8991091Z >>> else: 2025-07-17T07:12:09.8991364Z >>> return CheckpointPolicy.PREFER_RECOMPUTE 2025-07-17T07:12:09.8991685Z >>> 2025-07-17T07:12:09.8992069Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2025-07-17T07:12:09.8992543Z >>> 2025-07-17T07:12:09.8992744Z >>> # or equivalently 2025-07-17T07:12:09.8993229Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save) 2025-07-17T07:12:09.8993703Z >>> 2025-07-17T07:12:09.8993909Z >>> def fn(x, y): 2025-07-17T07:12:09.8994252Z >>> return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y 2025-07-17T07:12:09.8994654Z >>> 2025-07-17T07:12:09.8994908Z >>> out = torch.utils.checkpoint.checkpoint( 2025-07-17T07:12:09.8995235Z >>> fn, x, y, 2025-07-17T07:12:09.8995489Z >>> use_reentrant=False, 2025-07-17T07:12:09.8995787Z >>> context_fn=context_fn, 2025-07-17T07:12:09.8996054Z >>> ) 2025-07-17T07:12:09.8996178Z 2025-07-17T07:12:09.8996426Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:09.8996790Z 2025-07-17T07:12:09.9239367Z msg = Cannot scrape callname=CppExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1147. 2025-07-17T07:12:09.9240516Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:09.9240902Z 2025-07-17T07:12:09.9241044Z Create a :class:`setuptools.Extension` for C++. 2025-07-17T07:12:09.9241326Z 2025-07-17T07:12:09.9241565Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-07-17T07:12:09.9242147Z bare minimum (but often sufficient) arguments to build a C++ extension. 2025-07-17T07:12:09.9242482Z 2025-07-17T07:12:09.9242698Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-07-17T07:12:09.9243256Z constructor. Full list arguments can be found at 2025-07-17T07:12:09.9243851Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2025-07-17T07:12:09.9244302Z 2025-07-17T07:12:09.9244413Z .. warning:: 2025-07-17T07:12:09.9244772Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-07-17T07:12:09.9245642Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-07-17T07:12:09.9246351Z the user's responsibility in their library to not use APIs from 2025-07-17T07:12:09.9247176Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-07-17T07:12:09.9247934Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-07-17T07:12:09.9248538Z example, to give access to custom ops from python, the library should 2025-07-17T07:12:09.9249071Z register the ops through the dispatcher. 2025-07-17T07:12:09.9249299Z 2025-07-17T07:12:09.9249545Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-07-17T07:12:09.9250156Z as a compile flag when py_limited_api is specified as an option for 2025-07-17T07:12:09.9250751Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-07-17T07:12:09.9251336Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-07-17T07:12:09.9251991Z safety, and sanity in order to encourage best practices. To target a 2025-07-17T07:12:09.9252761Z different version, set min_supported_cpython to the hexcode of the 2025-07-17T07:12:09.9253293Z CPython version of choice. 2025-07-17T07:12:09.9253477Z 2025-07-17T07:12:09.9253576Z Example: 2025-07-17T07:12:09.9253782Z >>> # xdoctest: +SKIP 2025-07-17T07:12:09.9254098Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-07-17T07:12:09.9254473Z >>> from setuptools import setup 2025-07-17T07:12:09.9254893Z >>> from torch.utils.cpp_extension import BuildExtension, CppExtension 2025-07-17T07:12:09.9255314Z >>> setup( 2025-07-17T07:12:09.9255556Z ... name='extension', 2025-07-17T07:12:09.9255830Z ... ext_modules=[ 2025-07-17T07:12:09.9256080Z ... CppExtension( 2025-07-17T07:12:09.9256360Z ... name='extension', 2025-07-17T07:12:09.9256685Z ... sources=['extension.cpp'], 2025-07-17T07:12:09.9257020Z ... extra_compile_args=['-g'], 2025-07-17T07:12:09.9257396Z ... extra_link_args=['-Wl,--no-as-needed', '-lm']) 2025-07-17T07:12:09.9257877Z ... ], 2025-07-17T07:12:09.9258090Z ... cmdclass={ 2025-07-17T07:12:09.9258363Z ... 'build_ext': BuildExtension 2025-07-17T07:12:09.9258672Z ... }) 2025-07-17T07:12:09.9258799Z 2025-07-17T07:12:09.9259137Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:09.9259514Z 2025-07-17T07:12:09.9260128Z msg = Cannot scrape callname=CUDAExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1217. 2025-07-17T07:12:09.9261125Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:09.9261732Z 2025-07-17T07:12:09.9261907Z Create a :class:`setuptools.Extension` for CUDA/C++. 2025-07-17T07:12:09.9262356Z 2025-07-17T07:12:09.9262749Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-07-17T07:12:09.9263468Z bare minimum (but often sufficient) arguments to build a CUDA/C++ 2025-07-17T07:12:09.9264167Z extension. This includes the CUDA include path, library path and runtime 2025-07-17T07:12:09.9264663Z library. 2025-07-17T07:12:09.9264795Z 2025-07-17T07:12:09.9265000Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-07-17T07:12:09.9265542Z constructor. Full list arguments can be found at 2025-07-17T07:12:09.9266173Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2025-07-17T07:12:09.9266643Z 2025-07-17T07:12:09.9266743Z .. warning:: 2025-07-17T07:12:09.9267286Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-07-17T07:12:09.9267921Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-07-17T07:12:09.9268432Z the user's responsibility in their library to not use APIs from 2025-07-17T07:12:09.9269054Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-07-17T07:12:09.9269909Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-07-17T07:12:09.9270542Z example, to give access to custom ops from python, the library should 2025-07-17T07:12:09.9271054Z register the ops through the dispatcher. 2025-07-17T07:12:09.9271306Z 2025-07-17T07:12:09.9271533Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-07-17T07:12:09.9272225Z as a compile flag when py_limited_api is specified as an option for 2025-07-17T07:12:09.9273017Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-07-17T07:12:09.9273808Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-07-17T07:12:09.9274465Z safety, and sanity in order to encourage best practices. To target a 2025-07-17T07:12:09.9275014Z different version, set min_supported_cpython to the hexcode of the 2025-07-17T07:12:09.9275513Z CPython version of choice. 2025-07-17T07:12:09.9275713Z 2025-07-17T07:12:09.9275796Z Example: 2025-07-17T07:12:09.9276084Z >>> # xdoctest: +SKIP 2025-07-17T07:12:09.9276391Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-07-17T07:12:09.9276828Z >>> from setuptools import setup 2025-07-17T07:12:09.9277265Z >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension 2025-07-17T07:12:09.9277716Z >>> setup( 2025-07-17T07:12:09.9277986Z ... name='cuda_extension', 2025-07-17T07:12:09.9278283Z ... ext_modules=[ 2025-07-17T07:12:09.9278549Z ... CUDAExtension( 2025-07-17T07:12:09.9278830Z ... name='cuda_extension', 2025-07-17T07:12:09.9279287Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-07-17T07:12:09.9279701Z ... extra_compile_args={'cxx': ['-g'], 2025-07-17T07:12:09.9280045Z ... 'nvcc': ['-O2']}, 2025-07-17T07:12:09.9280435Z ... extra_link_args=['-Wl,--no-as-needed', '-lcuda']) 2025-07-17T07:12:09.9280798Z ... ], 2025-07-17T07:12:09.9281009Z ... cmdclass={ 2025-07-17T07:12:09.9281458Z ... 'build_ext': BuildExtension 2025-07-17T07:12:09.9281767Z ... }) 2025-07-17T07:12:09.9281894Z 2025-07-17T07:12:09.9281993Z Compute capabilities: 2025-07-17T07:12:09.9282167Z 2025-07-17T07:12:09.9282465Z By default the extension will be compiled to run on all archs of the cards visible during the 2025-07-17T07:12:09.9283179Z building process of the extension, plus PTX. If down the road a new card is installed the 2025-07-17T07:12:09.9283891Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's 2025-07-17T07:12:09.9284594Z newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch 2025-07-17T07:12:09.9285380Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does 2025-07-17T07:12:09.9285911Z support (see below for details on PTX). 2025-07-17T07:12:09.9286131Z 2025-07-17T07:12:09.9286451Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which 2025-07-17T07:12:09.9287047Z CCs you want the extension to support: 2025-07-17T07:12:09.9287274Z 2025-07-17T07:12:09.9287458Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py`` 2025-07-17T07:12:09.9287992Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py`` 2025-07-17T07:12:09.9288343Z 2025-07-17T07:12:09.9288672Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified 2025-07-17T07:12:09.9289494Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >= 2025-07-17T07:12:09.9290233Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with 2025-07-17T07:12:09.9290947Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to 2025-07-17T07:12:09.9291666Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on 2025-07-17T07:12:09.9292455Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better 2025-07-17T07:12:09.9293170Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6, 2025-07-17T07:12:09.9293926Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but 2025-07-17T07:12:09.9294444Z "8.0 8.6" would be better. 2025-07-17T07:12:09.9294621Z 2025-07-17T07:12:09.9294918Z Note that while it's possible to include all supported archs, the more archs get included the 2025-07-17T07:12:09.9295626Z slower the building process will be, as it will build a separate kernel image for each arch. 2025-07-17T07:12:09.9296029Z 2025-07-17T07:12:09.9296367Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows. 2025-07-17T07:12:09.9297016Z To workaround the issue, move python binding logic to pure C++ file. 2025-07-17T07:12:09.9297348Z 2025-07-17T07:12:09.9297437Z Example use: 2025-07-17T07:12:09.9297665Z #include 2025-07-17T07:12:09.9297980Z at::Tensor SigmoidAlphaBlendForwardCuda(....) 2025-07-17T07:12:09.9298245Z 2025-07-17T07:12:09.9298328Z Instead of: 2025-07-17T07:12:09.9298557Z #include 2025-07-17T07:12:09.9298907Z torch::Tensor SigmoidAlphaBlendForwardCuda(...) 2025-07-17T07:12:09.9299238Z 2025-07-17T07:12:09.9299513Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460 2025-07-17T07:12:09.9300421Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48 2025-07-17T07:12:09.9301051Z 2025-07-17T07:12:09.9301156Z Relocatable device code linking: 2025-07-17T07:12:09.9301350Z 2025-07-17T07:12:09.9301644Z If you want to reference device symbols across compilation units (across object files), 2025-07-17T07:12:09.9302288Z the object files need to be built with `relocatable device code` (-rdc=true or -dc). 2025-07-17T07:12:09.9303031Z An exception to this rule is "dynamic parallelism" (nested kernel launches) which is not used a lot anymore. 2025-07-17T07:12:09.9303889Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it. 2025-07-17T07:12:09.9304657Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step 2025-07-17T07:12:09.9305271Z helps reduce the protentional perf degradation of `-rdc`. 2025-07-17T07:12:09.9305806Z Note that it needs to be used at both steps to be useful. 2025-07-17T07:12:09.9306077Z 2025-07-17T07:12:09.9306459Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step. 2025-07-17T07:12:09.9307100Z There is also a case where `-dlink` is used without `-rdc`: 2025-07-17T07:12:09.9307639Z when an extension is linked against a static lib containing rdc-compiled objects 2025-07-17T07:12:09.9308222Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem). 2025-07-17T07:12:09.9308580Z 2025-07-17T07:12:09.9308792Z Note: Ninja is required to build a CUDA Extension with RDC linking. 2025-07-17T07:12:09.9309102Z 2025-07-17T07:12:09.9309185Z Example: 2025-07-17T07:12:09.9309403Z >>> # xdoctest: +SKIP 2025-07-17T07:12:09.9309721Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-07-17T07:12:09.9310065Z >>> CUDAExtension( 2025-07-17T07:12:09.9310335Z ... name='cuda_extension', 2025-07-17T07:12:09.9310706Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-07-17T07:12:09.9311139Z ... dlink=True, 2025-07-17T07:12:09.9311415Z ... dlink_libraries=["dlink_lib"], 2025-07-17T07:12:09.9311771Z ... extra_compile_args={'cxx': ['-g'], 2025-07-17T07:12:09.9312132Z ... 'nvcc': ['-O2', '-rdc=true']}) 2025-07-17T07:12:09.9312368Z 2025-07-17T07:12:09.9312618Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:09.9313006Z 2025-07-17T07:12:09.9313556Z msg = Cannot scrape callname=SyclExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1408. 2025-07-17T07:12:09.9314484Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:09.9314858Z 2025-07-17T07:12:09.9315035Z Creates a :class:`setuptools.Extension` for SYCL/C++. 2025-07-17T07:12:09.9315307Z 2025-07-17T07:12:09.9315549Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-07-17T07:12:09.9316113Z bare minimum (but often sufficient) arguments to build a SYCL/C++ 2025-07-17T07:12:09.9316514Z extension. 2025-07-17T07:12:09.9316637Z 2025-07-17T07:12:09.9316853Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-07-17T07:12:09.9317255Z constructor. 2025-07-17T07:12:09.9317399Z 2025-07-17T07:12:09.9317487Z .. warning:: 2025-07-17T07:12:09.9317841Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-07-17T07:12:09.9318386Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-07-17T07:12:09.9318909Z the user's responsibility in their library to not use APIs from 2025-07-17T07:12:09.9329657Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-07-17T07:12:09.9330348Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-07-17T07:12:09.9330895Z example, to give access to custom ops from python, the library should 2025-07-17T07:12:09.9331368Z register the ops through the dispatcher. 2025-07-17T07:12:09.9331617Z 2025-07-17T07:12:09.9331965Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-07-17T07:12:09.9332520Z as a compile flag when py_limited_api is specified as an option for 2025-07-17T07:12:09.9333042Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-07-17T07:12:09.9333587Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-07-17T07:12:09.9334143Z safety, and sanity in order to encourage best practices. To target a 2025-07-17T07:12:09.9334760Z different version, set min_supported_cpython to the hexcode of the 2025-07-17T07:12:09.9335204Z CPython version of choice. 2025-07-17T07:12:09.9335409Z 2025-07-17T07:12:09.9335495Z Example: 2025-07-17T07:12:09.9335718Z >>> # xdoctest: +SKIP 2025-07-17T07:12:09.9336030Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-07-17T07:12:09.9336516Z >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension 2025-07-17T07:12:09.9336950Z >>> setup( 2025-07-17T07:12:09.9337182Z ... name='xpu_extension', 2025-07-17T07:12:09.9337475Z ... ext_modules=[ 2025-07-17T07:12:09.9337740Z ... SyclExtension( 2025-07-17T07:12:09.9338012Z ... name='xpu_extension', 2025-07-17T07:12:09.9338400Z ... sources=['extension.cpp', 'extension_kernel.cpp'], 2025-07-17T07:12:09.9338866Z ... extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']}) 2025-07-17T07:12:09.9339359Z ... ], 2025-07-17T07:12:09.9339571Z ... cmdclass={ 2025-07-17T07:12:09.9339839Z ... 'build_ext': BuildExtension 2025-07-17T07:12:09.9340148Z ... }) 2025-07-17T07:12:09.9340276Z 2025-07-17T07:12:09.9340570Z By default the extension will be compiled to run on all archs of the cards visible during the 2025-07-17T07:12:09.9341242Z building process of the extension. If down the road a new card is installed the 2025-07-17T07:12:09.9341942Z extension may need to be recompiled. You can override the default behavior using 2025-07-17T07:12:09.9342621Z `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension 2025-07-17T07:12:09.9343122Z to support: 2025-07-17T07:12:09.9343257Z 2025-07-17T07:12:09.9343458Z ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py`` 2025-07-17T07:12:09.9343767Z 2025-07-17T07:12:09.9344079Z Note that while it's possible to include all supported archs, the more archs get included the 2025-07-17T07:12:09.9344775Z slower the building process will be, as it will build a separate kernel image for each arch. 2025-07-17T07:12:09.9345192Z 2025-07-17T07:12:09.9345327Z Note: Ninja is required to build SyclExtension. 2025-07-17T07:12:09.9345587Z 2025-07-17T07:12:09.9345837Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:09.9346198Z 2025-07-17T07:12:09.9346754Z msg = Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1585. 2025-07-17T07:12:09.9347634Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:09.9348007Z 2025-07-17T07:12:09.9348161Z Load a PyTorch C++ extension just-in-time (JIT). 2025-07-17T07:12:09.9348409Z 2025-07-17T07:12:09.9348627Z To load an extension, a Ninja build file is emitted, which is used to 2025-07-17T07:12:09.9349146Z compile the given sources into a dynamic library. This library is 2025-07-17T07:12:09.9349692Z subsequently loaded into the current Python process as a module and 2025-07-17T07:12:09.9350160Z returned from this function, ready for use. 2025-07-17T07:12:09.9350391Z 2025-07-17T07:12:09.9350594Z By default, the directory to which the build file is emitted and the 2025-07-17T07:12:09.9351154Z resulting library compiled to is ``/torch_extensions/``, where 2025-07-17T07:12:09.9351710Z ```` is the temporary folder on the current platform and ```` 2025-07-17T07:12:09.9352242Z the name of the extension. This location can be overridden in two ways. 2025-07-17T07:12:09.9352764Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it 2025-07-17T07:12:09.9353304Z replaces ``/torch_extensions`` and all extensions will be compiled 2025-07-17T07:12:09.9353857Z into subfolders of this directory. Second, if the ``build_directory`` 2025-07-17T07:12:09.9354411Z argument to this function is supplied, it overrides the entire path, i.e. 2025-07-17T07:12:09.9354923Z the library will be compiled into that folder directly. 2025-07-17T07:12:09.9355239Z 2025-07-17T07:12:09.9355446Z To compile the sources, the default system compiler (``c++``) is used, 2025-07-17T07:12:09.9356013Z which can be overridden by setting the ``CXX`` environment variable. To pass 2025-07-17T07:12:09.9356584Z additional arguments to the compilation process, ``extra_cflags`` or 2025-07-17T07:12:09.9357148Z ``extra_ldflags`` can be provided. For example, to compile your extension 2025-07-17T07:12:09.9357704Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use 2025-07-17T07:12:09.9358174Z ``extra_cflags`` to pass further include directories. 2025-07-17T07:12:09.9358450Z 2025-07-17T07:12:09.9358683Z CUDA support with mixed compilation is provided. Simply pass CUDA source 2025-07-17T07:12:09.9359225Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be 2025-07-17T07:12:09.9359765Z detected and compiled with nvcc rather than the C++ compiler. This includes 2025-07-17T07:12:09.9360353Z passing the CUDA lib64 directory as a library directory, and linking 2025-07-17T07:12:09.9360836Z ``cudart``. You can pass additional flags to nvcc via 2025-07-17T07:12:09.9361302Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various 2025-07-17T07:12:09.9361850Z heuristics for finding the CUDA install directory are used, which usually 2025-07-17T07:12:09.9362416Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the 2025-07-17T07:12:09.9362838Z safest option. 2025-07-17T07:12:09.9362973Z 2025-07-17T07:12:09.9363296Z SYCL support with mixed compilation is provided. Simply pass SYCL source 2025-07-17T07:12:09.9363840Z files (``.sycl``) along with other sources. Such files will be detected 2025-07-17T07:12:09.9364374Z and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather 2025-07-17T07:12:09.9364910Z than the C++ compiler. You can pass additional flags to SYCL compiler 2025-07-17T07:12:09.9365413Z via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++. 2025-07-17T07:12:09.9365928Z SYCL compiler is expected to be found via system PATH environment 2025-07-17T07:12:09.9366337Z variable. 2025-07-17T07:12:09.9366454Z 2025-07-17T07:12:09.9366548Z Args: 2025-07-17T07:12:09.9366862Z name: The name of the extension to build. This MUST be the same as the 2025-07-17T07:12:09.9367299Z name of the pybind11 module! 2025-07-17T07:12:09.9367706Z sources: A list of relative or absolute paths to C++ source files. 2025-07-17T07:12:09.9368239Z extra_cflags: optional list of compiler flags to forward to the build. 2025-07-17T07:12:09.9368800Z extra_cuda_cflags: optional list of compiler flags to forward to nvcc 2025-07-17T07:12:09.9369246Z when building CUDA sources. 2025-07-17T07:12:09.9369922Z extra_sycl_cflags: optional list of compiler flags to forward to SYCL 2025-07-17T07:12:09.9370375Z compiler when building SYCL sources. 2025-07-17T07:12:09.9370832Z extra_ldflags: optional list of linker flags to forward to the build. 2025-07-17T07:12:09.9371395Z extra_include_paths: optional list of include directories to forward 2025-07-17T07:12:09.9371812Z to the build. 2025-07-17T07:12:09.9372149Z build_directory: optional path to use as build workspace. 2025-07-17T07:12:09.9372624Z verbose: If ``True``, turns on verbose logging of load steps. 2025-07-17T07:12:09.9373130Z with_cuda: Determines whether CUDA headers and libraries are added to 2025-07-17T07:12:09.9373625Z the build. If set to ``None`` (default), this value is 2025-07-17T07:12:09.9374108Z automatically determined based on the existence of ``.cu`` or 2025-07-17T07:12:09.9374599Z ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers 2025-07-17T07:12:09.9374982Z and libraries to be included. 2025-07-17T07:12:09.9375412Z with_sycl: Determines whether SYCL headers and libraries are added to 2025-07-17T07:12:09.9375904Z the build. If set to ``None`` (default), this value is 2025-07-17T07:12:09.9376454Z automatically determined based on the existence of ``.sycl`` in 2025-07-17T07:12:09.9376947Z ``sources``. Set it to `True`` to force SYCL headers and 2025-07-17T07:12:09.9377332Z libraries to be included. 2025-07-17T07:12:09.9377741Z is_python_module: If ``True`` (default), imports the produced shared 2025-07-17T07:12:09.9378241Z library as a Python module. If ``False``, behavior depends on 2025-07-17T07:12:09.9378647Z ``is_standalone``. 2025-07-17T07:12:09.9379032Z is_standalone: If ``False`` (default) loads the constructed extension 2025-07-17T07:12:09.9379608Z into the process as a plain dynamic library. If ``True``, build a 2025-07-17T07:12:09.9380028Z standalone executable. 2025-07-17T07:12:09.9380211Z 2025-07-17T07:12:09.9380307Z Returns: 2025-07-17T07:12:09.9380527Z If ``is_python_module`` is ``True``: 2025-07-17T07:12:09.9380924Z Returns the loaded PyTorch extension as a Python module. 2025-07-17T07:12:09.9381279Z 2025-07-17T07:12:09.9381479Z If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``: 2025-07-17T07:12:09.9382011Z Returns nothing. (The shared library is loaded into the process as 2025-07-17T07:12:09.9382513Z a side effect.) 2025-07-17T07:12:09.9382668Z 2025-07-17T07:12:09.9382791Z If ``is_standalone`` is ``True``. 2025-07-17T07:12:09.9383208Z Return the path to the executable. (On Windows, TORCH_LIB_PATH is 2025-07-17T07:12:09.9383850Z added to the PATH environment variable as a side effect.) 2025-07-17T07:12:09.9384157Z 2025-07-17T07:12:09.9384242Z Example: 2025-07-17T07:12:09.9384476Z >>> # xdoctest: +SKIP 2025-07-17T07:12:09.9384842Z >>> from torch.utils.cpp_extension import load 2025-07-17T07:12:09.9385186Z >>> module = load( 2025-07-17T07:12:09.9385446Z ... name='extension', 2025-07-17T07:12:09.9385777Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-07-17T07:12:09.9386161Z ... extra_cflags=['-O2'], 2025-07-17T07:12:09.9386450Z ... verbose=True) 2025-07-17T07:12:09.9386612Z 2025-07-17T07:12:09.9386873Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:09.9387239Z 2025-07-17T07:12:09.9387765Z msg = Cannot scrape callname=load_inline in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1890. 2025-07-17T07:12:09.9388667Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:09.9389038Z 2025-07-17T07:12:09.9389260Z Load a PyTorch C++ extension just-in-time (JIT) from string sources. 2025-07-17T07:12:09.9389576Z 2025-07-17T07:12:09.9389816Z This function behaves exactly like :func:`load`, but takes its sources as 2025-07-17T07:12:09.9390376Z strings rather than filenames. These strings are stored to files in the 2025-07-17T07:12:09.9390932Z build directory, after which the behavior of :func:`load_inline` is 2025-07-17T07:12:09.9391359Z identical to :func:`load`. 2025-07-17T07:12:09.9391534Z 2025-07-17T07:12:09.9391617Z See `the 2025-07-17T07:12:09.9392062Z tests `_ 2025-07-17T07:12:09.9392629Z for good examples of using this function. 2025-07-17T07:12:09.9392853Z 2025-07-17T07:12:09.9393091Z Sources may omit two required parts of a typical non-inline C++ extension: 2025-07-17T07:12:09.9393670Z the necessary header includes, as well as the (pybind11) binding code. More 2025-07-17T07:12:09.9394269Z precisely, strings passed to ``cpp_sources`` are first concatenated into a 2025-07-17T07:12:09.9394811Z single ``.cpp`` file. This file is then prepended with ``#include 2025-07-17T07:12:09.9395197Z `` 2025-07-17T07:12:09.9395362Z 2025-07-17T07:12:09.9395582Z Furthermore, if the ``functions`` argument is supplied, bindings will be 2025-07-17T07:12:09.9396161Z automatically generated for each function specified. ``functions`` can 2025-07-17T07:12:09.9396729Z either be a list of function names, or a dictionary mapping from function 2025-07-17T07:12:09.9397318Z names to docstrings. If a list is given, the name of each function is used 2025-07-17T07:12:09.9397750Z as its docstring. 2025-07-17T07:12:09.9397887Z 2025-07-17T07:12:09.9398113Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu`` 2025-07-17T07:12:09.9398604Z file and prepended with ``torch/types.h``, ``cuda.h`` and 2025-07-17T07:12:09.9399099Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled 2025-07-17T07:12:09.9399646Z separately, but ultimately linked into a single library. Note that no 2025-07-17T07:12:09.9400212Z bindings are generated for functions in ``cuda_sources`` per se. To bind 2025-07-17T07:12:09.9400759Z to a CUDA kernel, you must create a C++ function that calls it, and either 2025-07-17T07:12:09.9401298Z declare or define this C++ function in one of the ``cpp_sources`` (and 2025-07-17T07:12:09.9401765Z include its name in ``functions``). 2025-07-17T07:12:09.9401970Z 2025-07-17T07:12:09.9402183Z The sources in ``sycl_sources`` are concatenated into a separate ``.sycl`` 2025-07-17T07:12:09.9402729Z file and prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes. 2025-07-17T07:12:09.9403254Z The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately 2025-07-17T07:12:09.9403781Z linked into a single library. Note that no bindings are generated for 2025-07-17T07:12:09.9404312Z functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must 2025-07-17T07:12:09.9404914Z create a C++ function that calls it, and either declare or define this 2025-07-17T07:12:09.9405426Z C++ function in one of the ``cpp_sources`` (and include its name 2025-07-17T07:12:09.9405806Z in ``functions``). 2025-07-17T07:12:09.9405962Z 2025-07-17T07:12:09.9405965Z 2025-07-17T07:12:09.9405969Z 2025-07-17T07:12:09.9406145Z See :func:`load` for a description of arguments omitted below. 2025-07-17T07:12:09.9406447Z 2025-07-17T07:12:09.9406526Z Args: 2025-07-17T07:12:09.9406858Z cpp_sources: A string, or list of strings, containing C++ source code. 2025-07-17T07:12:09.9407407Z cuda_sources: A string, or list of strings, containing CUDA source code. 2025-07-17T07:12:09.9407972Z sycl_sources: A string, or list of strings, containing SYCL source code. 2025-07-17T07:12:09.9408511Z functions: A list of function names for which to generate function 2025-07-17T07:12:09.9409042Z bindings. If a dictionary is given, it should map function names to 2025-07-17T07:12:09.9409542Z docstrings (which are otherwise just the function names). 2025-07-17T07:12:09.9410062Z with_cuda: Determines whether CUDA headers and libraries are added to 2025-07-17T07:12:09.9410554Z the build. If set to ``None`` (default), this value is 2025-07-17T07:12:09.9411020Z automatically determined based on whether ``cuda_sources`` is 2025-07-17T07:12:09.9411492Z provided. Set it to ``True`` to force CUDA headers 2025-07-17T07:12:09.9411865Z and libraries to be included. 2025-07-17T07:12:09.9412298Z with_sycl: Determines whether SYCL headers and libraries are added to 2025-07-17T07:12:09.9412780Z the build. If set to ``None`` (default), this value is 2025-07-17T07:12:09.9413252Z automatically determined based on whether ``sycl_sources`` is 2025-07-17T07:12:09.9413720Z provided. Set it to ``True`` to force SYCL headers 2025-07-17T07:12:09.9414083Z and libraries to be included. 2025-07-17T07:12:09.9414501Z with_pytorch_error_handling: Determines whether pytorch error and 2025-07-17T07:12:09.9415025Z warning macros are handled by pytorch instead of pybind. To do 2025-07-17T07:12:09.9415551Z this, each function ``foo`` is called via an intermediary ``_safe_foo`` 2025-07-17T07:12:09.9416072Z function. This redirection might cause issues in obscure cases 2025-07-17T07:12:09.9416571Z of cpp. This flag should be set to ``False`` when this redirect 2025-07-17T07:12:09.9416963Z causes issues. 2025-07-17T07:12:09.9417382Z no_implicit_headers: If ``True``, skips automatically adding headers, most notably 2025-07-17T07:12:09.9417980Z ``#include `` and ``#include `` lines. 2025-07-17T07:12:09.9418481Z Use this option to improve cold start times when you 2025-07-17T07:12:09.9419008Z already include the necessary headers in your source code. Default: ``False``. 2025-07-17T07:12:09.9419467Z 2025-07-17T07:12:09.9419550Z Example: 2025-07-17T07:12:09.9419822Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-07-17T07:12:09.9420234Z >>> from torch.utils.cpp_extension import load_inline 2025-07-17T07:12:09.9420580Z >>> source = """ 2025-07-17T07:12:09.9420878Z at::Tensor sin_add(at::Tensor x, at::Tensor y) { 2025-07-17T07:12:09.9421229Z return x.sin() + y.sin(); 2025-07-17T07:12:09.9421485Z } 2025-07-17T07:12:09.9421684Z """ 2025-07-17T07:12:09.9421973Z >>> module = load_inline(name='inline_extension', 2025-07-17T07:12:09.9422332Z ... cpp_sources=[source], 2025-07-17T07:12:09.9422680Z ... functions=['sin_add']) 2025-07-17T07:12:09.9422919Z 2025-07-17T07:12:09.9423004Z .. note:: 2025-07-17T07:12:09.9423362Z Since load_inline will just-in-time compile the source code, please ensure 2025-07-17T07:12:09.9423935Z that you have the right toolchains installed in the runtime. For example, 2025-07-17T07:12:09.9424499Z when loading C++, make sure a C++ compiler is available. If you're loading 2025-07-17T07:12:09.9425141Z a CUDA extension, you will need to additionally install the corresponding CUDA 2025-07-17T07:12:09.9425739Z toolkit (nvcc and any other dependencies your code has). Compiling toolchains 2025-07-17T07:12:09.9426342Z are not included when you install torch and must be additionally installed. 2025-07-17T07:12:09.9426702Z 2025-07-17T07:12:09.9426955Z During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build 2025-07-17T07:12:09.9427558Z the extension. This may use up too many resources on some systems. One 2025-07-17T07:12:09.9428105Z can control the number of workers by setting the `MAX_JOBS` environment 2025-07-17T07:12:09.9428562Z variable to a non-negative number. 2025-07-17T07:12:09.9428772Z 2025-07-17T07:12:09.9429032Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:09.9429396Z 2025-07-17T07:12:09.9487069Z msg = Cannot scrape callname=ThroughputBenchmark in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/throughput_benchmark.py line=61. 2025-07-17T07:12:09.9488062Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:09.9488438Z 2025-07-17T07:12:09.9488731Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark. 2025-07-17T07:12:09.9489147Z 2025-07-17T07:12:09.9489443Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible 2025-07-17T07:12:09.9490111Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference 2025-07-17T07:12:09.9490711Z server like load. It can emulate multiple calling threads to a single module 2025-07-17T07:12:09.9491284Z provided. In the future we plan to enhance this component to support inter and 2025-07-17T07:12:09.9491882Z intra-op parallelism as well as multiple models running in a single process. 2025-07-17T07:12:09.9492241Z 2025-07-17T07:12:09.9492503Z Please note that even though nn.Module is supported, it might incur an overhead 2025-07-17T07:12:09.9493080Z from the need to hold GIL every time we execute Python code or pass around 2025-07-17T07:12:09.9493654Z inputs as Python objects. As soon as you have a ScriptModule version of your 2025-07-17T07:12:09.9494245Z model for inference deployment it is better to switch to using it in this 2025-07-17T07:12:09.9494691Z benchmark. 2025-07-17T07:12:09.9494813Z 2025-07-17T07:12:09.9494897Z Example:: 2025-07-17T07:12:09.9495121Z 2025-07-17T07:12:09.9495235Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:09.9495599Z >>> from torch.utils import ThroughputBenchmark 2025-07-17T07:12:09.9495966Z >>> bench = ThroughputBenchmark(my_module) 2025-07-17T07:12:09.9496360Z >>> # Pre-populate benchmark's data set with the inputs 2025-07-17T07:12:09.9496733Z >>> for input in inputs: 2025-07-17T07:12:09.9497127Z ... # Both args and kwargs work, same as any PyTorch Module / ScriptModule 2025-07-17T07:12:09.9497580Z ... bench.add_input(input[0], x2=input[1]) 2025-07-17T07:12:09.9498017Z >>> # Inputs supplied above are randomly used during the execution 2025-07-17T07:12:09.9498432Z >>> stats = bench.benchmark( 2025-07-17T07:12:09.9498718Z ... num_calling_threads=4, 2025-07-17T07:12:09.9499022Z ... num_warmup_iters = 100, 2025-07-17T07:12:09.9499388Z ... num_iters = 1000, 2025-07-17T07:12:09.9499720Z ... ) 2025-07-17T07:12:09.9500022Z >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms)) 2025-07-17T07:12:09.9500495Z >>> print("Number of iterations: {}".format(stats.num_iters)) 2025-07-17T07:12:09.9500782Z 2025-07-17T07:12:09.9501042Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:09.9501414Z 2025-07-17T07:12:10.0604423Z msg = Cannot scrape callname=DistributedSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/distributed.py line=18. 2025-07-17T07:12:10.0605577Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:10.0606164Z Sampler that restricts data loading to a subset of the dataset. 2025-07-17T07:12:10.0606473Z 2025-07-17T07:12:10.0606615Z It is especially useful in conjunction with 2025-07-17T07:12:10.0607123Z :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each 2025-07-17T07:12:10.0607737Z process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a 2025-07-17T07:12:10.0608353Z :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the 2025-07-17T07:12:10.0608825Z original dataset that is exclusive to it. 2025-07-17T07:12:10.0609059Z 2025-07-17T07:12:10.0609160Z .. note:: 2025-07-17T07:12:10.0609523Z Dataset is assumed to be of constant size and that any instance of it always 2025-07-17T07:12:10.0610016Z returns the same elements in the same order. 2025-07-17T07:12:10.0610263Z 2025-07-17T07:12:10.0610357Z Args: 2025-07-17T07:12:10.0610585Z dataset: Dataset used for sampling. 2025-07-17T07:12:10.0611027Z num_replicas (int, optional): Number of processes participating in 2025-07-17T07:12:10.0611603Z distributed training. By default, :attr:`world_size` is retrieved from the 2025-07-17T07:12:10.0612072Z current distributed group. 2025-07-17T07:12:10.0612522Z rank (int, optional): Rank of the current process within :attr:`num_replicas`. 2025-07-17T07:12:10.0613085Z By default, :attr:`rank` is retrieved from the current distributed 2025-07-17T07:12:10.0613491Z group. 2025-07-17T07:12:10.0613842Z shuffle (bool, optional): If ``True`` (default), sampler will shuffle the 2025-07-17T07:12:10.0614273Z indices. 2025-07-17T07:12:10.0614614Z seed (int, optional): random seed used to shuffle the sampler if 2025-07-17T07:12:10.0615107Z :attr:`shuffle=True`. This number should be identical across all 2025-07-17T07:12:10.0615589Z processes in the distributed group. Default: ``0``. 2025-07-17T07:12:10.0616079Z drop_last (bool, optional): if ``True``, then the sampler will drop the 2025-07-17T07:12:10.0616595Z tail of the data to make it evenly divisible across the number of 2025-07-17T07:12:10.0617104Z replicas. If ``False``, the sampler will add extra indices to make 2025-07-17T07:12:10.0617632Z the data evenly divisible across the replicas. Default: ``False``. 2025-07-17T07:12:10.0618015Z 2025-07-17T07:12:10.0618117Z .. warning:: 2025-07-17T07:12:10.0618434Z In distributed mode, calling the :meth:`set_epoch` method at 2025-07-17T07:12:10.0618987Z the beginning of each epoch **before** creating the :class:`DataLoader` iterator 2025-07-17T07:12:10.0619682Z is necessary to make shuffling work properly across multiple epochs. Otherwise, 2025-07-17T07:12:10.0620185Z the same ordering will be always used. 2025-07-17T07:12:10.0620411Z 2025-07-17T07:12:10.0620497Z Example:: 2025-07-17T07:12:10.0620643Z 2025-07-17T07:12:10.0620738Z >>> # xdoctest: +SKIP 2025-07-17T07:12:10.0621140Z >>> sampler = DistributedSampler(dataset) if is_distributed else None 2025-07-17T07:12:10.0621638Z >>> loader = DataLoader(dataset, shuffle=(sampler is None), 2025-07-17T07:12:10.0622037Z ... sampler=sampler) 2025-07-17T07:12:10.0622406Z >>> for epoch in range(start_epoch, n_epochs): 2025-07-17T07:12:10.0622793Z ... if is_distributed: 2025-07-17T07:12:10.0623109Z ... sampler.set_epoch(epoch) 2025-07-17T07:12:10.0623423Z ... train(loader) 2025-07-17T07:12:10.0623670Z 2025-07-17T07:12:10.0624034Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:10.0624397Z 2025-07-17T07:12:10.2846501Z gathering tests 2025-07-17T07:12:10.2858351Z running 719 test(s) 2025-07-17T07:12:10.2877045Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::typename:0, line 1074 <- wrt source file 2025-07-17T07:12:10.2885267Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::typename:0 2025-07-17T07:12:10.2887204Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::is_tensor:0, line 1110 <- wrt source file 2025-07-17T07:12:10.2891421Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::is_tensor:0 2025-07-17T07:12:10.2893015Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_device:0, line 1195 <- wrt source file 2025-07-17T07:12:10.2894425Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_device:0 2025-07-17T07:12:10.2896287Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1244 <- wrt source file 2025-07-17T07:12:10.2898105Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-07-17T07:12:10.2899380Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_dtype:0, line 1281 <- wrt source file 2025-07-17T07:12:10.2900749Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::set_default_dtype:0 2025-07-17T07:12:10.2902119Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1436 <- wrt source file 2025-07-17T07:12:10.2903569Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-07-17T07:12:10.2905693Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::compile:0, line 2559 <- wrt source file 2025-07-17T07:12:10.2906881Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::compile:0 2025-07-17T07:12:10.2908092Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2832 <- wrt source file 2025-07-17T07:12:10.2909522Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-07-17T07:12:10.2910963Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2025-07-17T07:12:10.2912312Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::Generator:0 2025-07-17T07:12:10.2913622Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2025-07-17T07:12:10.2914987Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_C.cpython-313-x86_64-linux-gnu.so::_LinAlgError:0 2025-07-17T07:12:10.2916197Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-07-17T07:12:10.2917314Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::custom_op:0 2025-07-17T07:12:10.2918474Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-07-17T07:12:10.2919565Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl:0 2025-07-17T07:12:10.2920683Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-07-17T07:12:10.3333334Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-07-17T07:12:10.3334757Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-07-17T07:12:10.3336220Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-07-17T07:12:10.3337540Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 649 <- wrt source file 2025-07-17T07:12:10.3343034Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-07-17T07:12:10.3344316Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 706 <- wrt source file 2025-07-17T07:12:10.3360885Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-07-17T07:12:10.3362163Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1333 <- wrt source file 2025-07-17T07:12:10.3444472Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-07-17T07:12:10.3445644Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1378 <- wrt source file 2025-07-17T07:12:10.3449741Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-07-17T07:12:10.3450884Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.rename:0, line 1451 <- wrt source file 2025-07-17T07:12:10.3466102Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.rename:0 2025-07-17T07:12:10.3467269Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1481 <- wrt source file 2025-07-17T07:12:10.3499362Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-07-17T07:12:10.3500545Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-07-17T07:12:10.3520590Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-07-17T07:12:10.3521789Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-07-17T07:12:10.3527149Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_tensors:0 2025-07-17T07:12:10.3528327Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-07-17T07:12:10.3530588Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::broadcast_shapes:0 2025-07-17T07:12:10.3531728Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::split:0, line 193 <- wrt source file 2025-07-17T07:12:10.3543613Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::split:0 2025-07-17T07:12:10.3544700Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::einsum:0, line 307 <- wrt source file 2025-07-17T07:12:10.3560681Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::einsum:0 2025-07-17T07:12:10.3562095Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 1041 <- wrt source file 2025-07-17T07:12:10.3583771Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-07-17T07:12:10.3584963Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::tensordot:0, line 1316 <- wrt source file 2025-07-17T07:12:10.3634020Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::tensordot:0 2025-07-17T07:12:10.3635187Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cartesian_prod:0, line 1400 <- wrt source file 2025-07-17T07:12:10.3641682Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cartesian_prod:0 2025-07-17T07:12:10.3642858Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::block_diag:0, line 1434 <- wrt source file 2025-07-17T07:12:10.3652245Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::block_diag:0 2025-07-17T07:12:10.3653363Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cdist:0, line 1490 <- wrt source file 2025-07-17T07:12:10.3676834Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::cdist:0 2025-07-17T07:12:10.3677956Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_1d:0, line 1531 <- wrt source file 2025-07-17T07:12:10.3693789Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_1d:0 2025-07-17T07:12:10.3694941Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_2d:0, line 1567 <- wrt source file 2025-07-17T07:12:10.3711506Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_2d:0 2025-07-17T07:12:10.3712648Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_3d:0, line 1605 <- wrt source file 2025-07-17T07:12:10.3733149Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::atleast_3d:0 2025-07-17T07:12:10.3734253Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::norm:0, line 1778 <- wrt source file 2025-07-17T07:12:10.3766132Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::norm:0 2025-07-17T07:12:10.3767273Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::unravel_index:0, line 1946 <- wrt source file 2025-07-17T07:12:10.3793997Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::unravel_index:0 2025-07-17T07:12:10.3795305Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::chain_matmul:0, line 2046 <- wrt source file 2025-07-17T07:12:10.3796755Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::chain_matmul:0 2025-07-17T07:12:10.3798186Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_lu_impl:0, line 2146 <- wrt source file 2025-07-17T07:12:10.3799588Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py::_lu_impl:0 2025-07-17T07:12:10.3800703Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::list:0, line 468 <- wrt source file 2025-07-17T07:12:10.3801834Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::list:0 2025-07-17T07:12:10.3803298Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::help:0, line 528 <- wrt source file 2025-07-17T07:12:10.3804408Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py::help:0 2025-07-17T07:12:10.3805607Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.define:0, line 152 <- wrt source file 2025-07-17T07:12:10.3806824Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.define:0 2025-07-17T07:12:10.3808173Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 246 <- wrt source file 2025-07-17T07:12:10.3815286Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-07-17T07:12:10.3816607Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.impl:0, line 306 <- wrt source file 2025-07-17T07:12:10.3819989Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::Library.impl:0 2025-07-17T07:12:10.3821139Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::define:0, line 511 <- wrt source file 2025-07-17T07:12:10.3875255Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::define:0 2025-07-17T07:12:10.3876324Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::impl:0, line 617 <- wrt source file 2025-07-17T07:12:10.3891187Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::impl:0 2025-07-17T07:12:10.3892515Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_kernel:0, line 798 <- wrt source file 2025-07-17T07:12:10.3893838Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_kernel:0 2025-07-17T07:12:10.3894993Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_autocast:0, line 866 <- wrt source file 2025-07-17T07:12:10.3896354Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_autocast:0 2025-07-17T07:12:10.3897552Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_torch_dispatch:0, line 1217 <- wrt source file 2025-07-17T07:12:10.3987020Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_torch_dispatch:0 2025-07-17T07:12:10.3988216Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_vmap:0, line 1306 <- wrt source file 2025-07-17T07:12:10.4138805Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py::register_vmap:0 2025-07-17T07:12:10.4140068Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_ignored_functions:0, line 116 <- wrt source file 2025-07-17T07:12:10.4145446Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_ignored_functions:0 2025-07-17T07:12:10.4146829Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_testing_overrides:0, line 422 <- wrt source file 2025-07-17T07:12:10.4184561Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::get_testing_overrides:0 2025-07-17T07:12:10.4185787Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::wrap_torch_function:0, line 1575 <- wrt source file 2025-07-17T07:12:10.4187945Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::wrap_torch_function:0 2025-07-17T07:12:10.4189168Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::handle_torch_function:0, line 1710 <- wrt source file 2025-07-17T07:12:10.4190777Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::handle_torch_function:0 2025-07-17T07:12:10.4192052Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1958 <- wrt source file 2025-07-17T07:12:10.4217548Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-07-17T07:12:10.4218781Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_like:0, line 1977 <- wrt source file 2025-07-17T07:12:10.4224787Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/overrides.py::is_tensor_like:0 2025-07-17T07:12:10.4226515Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-07-17T07:12:10.4228054Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/quasirandom.py::SobolEngine:0 2025-07-17T07:12:10.4229708Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::add_safe_globals:0, line 299 <- wrt source file 2025-07-17T07:12:10.4230955Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::add_safe_globals:0 2025-07-17T07:12:10.4232211Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::safe_globals:0, line 324 <- wrt source file 2025-07-17T07:12:10.4234388Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::safe_globals:0 2025-07-17T07:12:10.4236048Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::skip_data:0, line 400 <- wrt source file 2025-07-17T07:12:10.4237298Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::skip_data:0 2025-07-17T07:12:10.4239007Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::register_package:0, line 472 <- wrt source file 2025-07-17T07:12:10.4240375Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::register_package:0 2025-07-17T07:12:10.4241534Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::save:0, line 950 <- wrt source file 2025-07-17T07:12:10.4242652Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py::save:0 2025-07-17T07:12:10.4243812Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-07-17T07:12:10.4245011Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/torch_version.py::TorchVersion:0 2025-07-17T07:12:10.4246222Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 320 <- wrt source file 2025-07-17T07:12:10.4247567Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-07-17T07:12:10.4248778Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_options:0, line 357 <- wrt source file 2025-07-17T07:12:10.4251606Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/__init__.py::list_options:0 2025-07-17T07:12:10.4252977Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 113 <- wrt source file 2025-07-17T07:12:10.4257238Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-07-17T07:12:10.4259472Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::device_index:0, line 249 <- wrt source file 2025-07-17T07:12:10.4260753Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py::device_index:0 2025-07-17T07:12:10.4261976Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 123 <- wrt source file 2025-07-17T07:12:10.4263212Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-07-17T07:12:10.4264461Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 179 <- wrt source file 2025-07-17T07:12:11.1177981Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-07-17T07:12:11.1179339Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 406 <- wrt source file 2025-07-17T07:12:11.1180783Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-07-17T07:12:11.1182426Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_compiling:0, line 438 <- wrt source file 2025-07-17T07:12:11.1183713Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-07-17T07:12:11.1185437Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 459 <- wrt source file 2025-07-17T07:12:11.1186751Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-07-17T07:12:11.1188810Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_exporting:0, line 477 <- wrt source file 2025-07-17T07:12:11.1190700Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-07-17T07:12:11.1192705Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 492 <- wrt source file 2025-07-17T07:12:11.1194451Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-07-17T07:12:11.1196111Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 507 <- wrt source file 2025-07-17T07:12:11.1197824Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-07-17T07:12:11.1199456Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1760 <- wrt source file 2025-07-17T07:12:11.1201036Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-07-17T07:12:11.1202189Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::save:0, line 357 <- wrt source file 2025-07-17T07:12:11.1203323Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::save:0 2025-07-17T07:12:11.1204582Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/__init__.py::load:0, line 427 <- 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2025-07-17T07:12:11.1395746Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file 2025-07-17T07:12:11.1415504Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-07-17T07:12:11.1417892Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-07-17T07:12:11.1443292Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py::masked_select:0 2025-07-17T07:12:11.1445813Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2025-07-17T07:12:11.1541981Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-07-17T07:12:11.1544576Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file 2025-07-17T07:12:11.1638651Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-07-17T07:12:11.1641242Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 344 <- wrt source file 2025-07-17T07:12:11.1643891Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-07-17T07:12:11.1646635Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 322 <- wrt source file 2025-07-17T07:12:11.1649554Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-07-17T07:12:11.1652377Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1345 <- wrt source file 2025-07-17T07:12:11.1655201Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-07-17T07:12:11.1658190Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 157 <- wrt source file 2025-07-17T07:12:11.1661427Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-07-17T07:12:11.1664217Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 747 <- wrt source file 2025-07-17T07:12:11.1965300Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-07-17T07:12:11.1967885Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2025-07-17T07:12:11.1970934Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-07-17T07:12:11.1973399Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 233 <- wrt source file 2025-07-17T07:12:11.2077173Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-07-17T07:12:11.2079694Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 475 <- wrt source file 2025-07-17T07:12:11.2152819Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-07-17T07:12:11.2155289Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1023 <- wrt source file 2025-07-17T07:12:11.2831076Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-07-17T07:12:11.2833575Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1181 <- wrt source file 2025-07-17T07:12:11.2892772Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-07-17T07:12:11.2895680Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1341 <- wrt source file 2025-07-17T07:12:11.2912353Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-07-17T07:12:11.2914937Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1505 <- wrt source file 2025-07-17T07:12:11.2917654Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-07-17T07:12:11.2920256Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1704 <- wrt source file 2025-07-17T07:12:11.3093737Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-07-17T07:12:11.3096344Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2025-07-17T07:12:11.3099036Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-07-17T07:12:11.3101620Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-07-17T07:12:11.3104088Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-07-17T07:12:11.3106845Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1066 <- wrt source file 2025-07-17T07:12:11.3109935Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-07-17T07:12:11.3112814Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 133 <- wrt source file 2025-07-17T07:12:11.3115669Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-07-17T07:12:11.3118736Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 269 <- wrt source file 2025-07-17T07:12:11.3121765Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-07-17T07:12:11.3124363Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 107 <- wrt source file 2025-07-17T07:12:11.3126721Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-07-17T07:12:11.3129230Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file 2025-07-17T07:12:11.3131964Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-07-17T07:12:11.3134581Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/map.py::map:0, line 148 <- wrt source file 2025-07-17T07:12:11.3136890Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/map.py::map:0 2025-07-17T07:12:11.3139233Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 163 <- wrt source file 2025-07-17T07:12:11.3141797Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-07-17T07:12:11.3144236Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0, line 431 <- wrt source file 2025-07-17T07:12:11.3146816Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0 2025-07-17T07:12:11.3149569Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1457 <- wrt source file 2025-07-17T07:12:11.3152546Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2025-07-17T07:12:11.3155395Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 3289 <- wrt source file 2025-07-17T07:12:11.3158188Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-07-17T07:12:11.3160712Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::custom_op:0, line 98 <- wrt source file 2025-07-17T07:12:11.3695756Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-07-17T07:12:11.3697100Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 237 <- wrt source file 2025-07-17T07:12:11.3786450Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-07-17T07:12:11.3787891Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 306 <- wrt source file 2025-07-17T07:12:11.3789315Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-07-17T07:12:11.3790706Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 540 <- wrt source file 2025-07-17T07:12:11.3962737Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-07-17T07:12:11.3964118Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 708 <- wrt source file 2025-07-17T07:12:11.4132988Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-07-17T07:12:11.4134753Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 794 <- wrt source file 2025-07-17T07:12:11.4136207Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-07-17T07:12:11.4137731Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 197 <- wrt source file 2025-07-17T07:12:11.4139198Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-07-17T07:12:11.4140577Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file 2025-07-17T07:12:11.4211164Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-07-17T07:12:11.4212500Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 51 <- wrt source file 2025-07-17T07:12:11.4217298Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-07-17T07:12:11.4218654Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_logging/_internal.py::set_logs:0, line 457 <- wrt source file 2025-07-17T07:12:11.4219927Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_logging/_internal.py::set_logs:0 2025-07-17T07:12:11.4221132Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file 2025-07-17T07:12:11.4256360Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2025-07-17T07:12:11.4257620Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file 2025-07-17T07:12:11.4307499Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-07-17T07:12:11.4308912Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file 2025-07-17T07:12:11.4310252Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-07-17T07:12:11.4311540Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file 2025-07-17T07:12:11.4368390Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-07-17T07:12:11.4369887Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file 2025-07-17T07:12:11.4372418Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-07-17T07:12:11.4373907Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file 2025-07-17T07:12:11.4377050Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-07-17T07:12:11.4378405Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file 2025-07-17T07:12:11.4379735Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-07-17T07:12:11.4380969Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file 2025-07-17T07:12:11.4383317Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-07-17T07:12:11.4385408Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-07-17T07:12:11.4387579Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-07-17T07:12:11.4389199Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-07-17T07:12:11.4390548Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-07-17T07:12:11.4391894Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 30 <- wrt source file 2025-07-17T07:12:11.4393374Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-07-17T07:12:11.4394937Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file 2025-07-17T07:12:11.4396613Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-07-17T07:12:11.4398194Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2025-07-17T07:12:11.4399776Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-07-17T07:12:11.4401329Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file 2025-07-17T07:12:11.4402958Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-07-17T07:12:11.4404512Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file 2025-07-17T07:12:11.4406085Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-07-17T07:12:11.4407494Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 30 <- wrt source file 2025-07-17T07:12:11.4435351Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-07-17T07:12:11.4436796Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file 2025-07-17T07:12:11.4467647Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-07-17T07:12:11.4470914Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 211 <- wrt source file 2025-07-17T07:12:11.4473145Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-07-17T07:12:11.4474422Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 283 <- wrt source file 2025-07-17T07:12:11.4475717Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-07-17T07:12:11.4477148Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 359 <- wrt source file 2025-07-17T07:12:11.4479057Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-07-17T07:12:11.4480343Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2025-07-17T07:12:11.4481850Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-07-17T07:12:11.4483880Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2025-07-17T07:12:11.4485764Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-07-17T07:12:11.4487484Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2025-07-17T07:12:11.4489611Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-07-17T07:12:11.4491784Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 124 <- wrt source file 2025-07-17T07:12:11.4493307Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-07-17T07:12:11.4494691Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 209 <- wrt source file 2025-07-17T07:12:11.4496263Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-07-17T07:12:11.4498387Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 296 <- wrt source file 2025-07-17T07:12:11.4500729Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-07-17T07:12:11.4502364Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 378 <- wrt source file 2025-07-17T07:12:11.4503906Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-07-17T07:12:11.4505388Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 460 <- wrt source file 2025-07-17T07:12:11.4506916Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-07-17T07:12:11.4508514Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2025-07-17T07:12:11.4509963Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-07-17T07:12:11.4511335Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 515 <- wrt source file 2025-07-17T07:12:11.4513288Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-07-17T07:12:11.4515958Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 801 <- wrt source file 2025-07-17T07:12:11.4518740Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-07-17T07:12:11.4521559Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1206 <- wrt source file 2025-07-17T07:12:11.4524367Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-07-17T07:12:11.4527225Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1273 <- wrt source file 2025-07-17T07:12:11.4530061Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-07-17T07:12:11.4532823Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1326 <- wrt source file 2025-07-17T07:12:11.4535642Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-07-17T07:12:11.4538374Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2025-07-17T07:12:11.4541195Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-07-17T07:12:11.4543802Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 505 <- wrt source file 2025-07-17T07:12:11.4546388Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-07-17T07:12:11.4548940Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 635 <- wrt source file 2025-07-17T07:12:11.4551526Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-07-17T07:12:11.4554195Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 892 <- wrt source file 2025-07-17T07:12:11.4557037Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-07-17T07:12:11.4559815Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1014 <- wrt source file 2025-07-17T07:12:11.4562660Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-07-17T07:12:11.4565452Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1140 <- wrt source file 2025-07-17T07:12:11.4568457Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-07-17T07:12:11.4571897Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file 2025-07-17T07:12:11.4575344Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-07-17T07:12:11.4578411Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file 2025-07-17T07:12:11.4584810Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-07-17T07:12:11.4588281Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file 2025-07-17T07:12:11.4591459Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-07-17T07:12:11.4594618Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file 2025-07-17T07:12:11.4597708Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-07-17T07:12:11.4600517Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 138 <- wrt source file 2025-07-17T07:12:11.4603186Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-07-17T07:12:11.4606271Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2025-07-17T07:12:11.4609824Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-07-17T07:12:11.4612958Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file 2025-07-17T07:12:11.4623823Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-07-17T07:12:11.4626712Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2025-07-17T07:12:11.4629716Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-07-17T07:12:11.4632507Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 176 <- wrt source file 2025-07-17T07:12:11.4635228Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-07-17T07:12:11.4637986Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 31 <- wrt source file 2025-07-17T07:12:11.4640898Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-07-17T07:12:11.4643784Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 76 <- wrt source file 2025-07-17T07:12:11.4646901Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-07-17T07:12:11.4649828Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 130 <- wrt source file 2025-07-17T07:12:11.4652786Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-07-17T07:12:11.4655774Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 163 <- wrt source file 2025-07-17T07:12:11.4658881Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-07-17T07:12:11.4661799Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file 2025-07-17T07:12:11.4664370Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-07-17T07:12:11.4667097Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file 2025-07-17T07:12:11.4670115Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-07-17T07:12:11.4672740Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2025-07-17T07:12:11.4675341Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-07-17T07:12:11.4677922Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file 2025-07-17T07:12:11.4680587Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-07-17T07:12:11.4683238Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file 2025-07-17T07:12:11.4685989Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-07-17T07:12:11.4688620Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file 2025-07-17T07:12:11.4691280Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-07-17T07:12:11.4694038Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file 2025-07-17T07:12:11.4696961Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-07-17T07:12:11.4700035Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file 2025-07-17T07:12:11.4703204Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-07-17T07:12:11.4706113Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file 2025-07-17T07:12:11.4708951Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-07-17T07:12:11.4711704Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file 2025-07-17T07:12:11.4714550Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-07-17T07:12:11.4717283Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file 2025-07-17T07:12:11.4720041Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-07-17T07:12:11.4722750Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 149 <- wrt source file 2025-07-17T07:12:11.4725433Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-07-17T07:12:11.4728051Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 521 <- wrt source file 2025-07-17T07:12:11.4730866Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-07-17T07:12:11.4733538Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 543 <- wrt source file 2025-07-17T07:12:11.4736268Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-07-17T07:12:11.4738924Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 557 <- wrt source file 2025-07-17T07:12:11.4741654Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-07-17T07:12:11.4744282Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 579 <- wrt source file 2025-07-17T07:12:11.4746920Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-07-17T07:12:11.4749502Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 706 <- wrt source file 2025-07-17T07:12:11.4752143Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2025-07-17T07:12:11.4755012Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file 2025-07-17T07:12:11.4758183Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2025-07-17T07:12:11.4761296Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 102 <- wrt source file 2025-07-17T07:12:11.4764473Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-07-17T07:12:11.4767570Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 148 <- wrt source file 2025-07-17T07:12:11.4770907Z * SKIPPED: 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/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file 2025-07-17T07:12:11.4788865Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0 2025-07-17T07:12:11.4791311Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file 2025-07-17T07:12:11.4793808Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::make_dual:0 2025-07-17T07:12:11.4796210Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file 2025-07-17T07:12:11.4798656Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::unpack_dual:0 2025-07-17T07:12:11.4801053Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file 2025-07-17T07:12:11.4803506Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/forward_ad.py::dual_level:0 2025-07-17T07:12:11.4806113Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 71 <- wrt source file 2025-07-17T07:12:11.4808937Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0 2025-07-17T07:12:11.4811724Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0, line 115 <- wrt source file 2025-07-17T07:12:11.4814535Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0 2025-07-17T07:12:11.4817243Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 167 <- wrt source file 2025-07-17T07:12:11.4819993Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0 2025-07-17T07:12:11.4822760Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0, line 214 <- wrt source file 2025-07-17T07:12:11.4825736Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0 2025-07-17T07:12:11.4828646Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 243 <- wrt source file 2025-07-17T07:12:11.4831588Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0 2025-07-17T07:12:11.4834278Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::Function:0, line 485 <- wrt source file 2025-07-17T07:12:11.4836671Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/function.py::Function:0 2025-07-17T07:12:11.4838992Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vjp:0, line 293 <- wrt source file 2025-07-17T07:12:11.4841332Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vjp:0 2025-07-17T07:12:11.4843612Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jvp:0, line 395 <- wrt source file 2025-07-17T07:12:11.4845916Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jvp:0 2025-07-17T07:12:11.4848301Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jacobian:0, line 630 <- wrt source file 2025-07-17T07:12:11.4850728Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::jacobian:0 2025-07-17T07:12:11.4853101Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hessian:0, line 894 <- wrt source file 2025-07-17T07:12:11.4855563Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hessian:0 2025-07-17T07:12:11.4857896Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vhp:0, line 1010 <- wrt source file 2025-07-17T07:12:11.4860255Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::vhp:0 2025-07-17T07:12:11.4862546Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hvp:0, line 1109 <- wrt source file 2025-07-17T07:12:11.4864864Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/functional.py::hvp:0 2025-07-17T07:12:11.4867122Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2025-07-17T07:12:11.4869574Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-07-17T07:12:11.4871930Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2025-07-17T07:12:11.4874350Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-07-17T07:12:11.4876778Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2025-07-17T07:12:11.4879362Z * SKIPPED: 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/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0 2025-07-17T07:12:11.4927705Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::profile:0, line 182 <- wrt source file 2025-07-17T07:12:11.4930076Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::profile:0 2025-07-17T07:12:11.4932387Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_itt:0, line 880 <- wrt source file 2025-07-17T07:12:11.4934757Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_itt:0 2025-07-17T07:12:11.4937098Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 953 <- wrt source file 2025-07-17T07:12:11.4939576Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py::emit_nvtx:0 2025-07-17T07:12:11.4941889Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 42 <- wrt source file 2025-07-17T07:12:11.4944259Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-07-17T07:12:11.4946609Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 58 <- wrt source file 2025-07-17T07:12:11.4949012Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-07-17T07:12:11.4951217Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::GdsFile:0, line 85 <- wrt source file 2025-07-17T07:12:11.4953420Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/gds.py::GdsFile:0 2025-07-17T07:12:11.4955661Z * DOCTEST : 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/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file 2025-07-17T07:12:11.4972956Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-07-17T07:12:11.4975516Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-07-17T07:12:11.4977781Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/profiler.py::profile:0 2025-07-17T07:12:11.4980221Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0, line 424 <- wrt source file 2025-07-17T07:12:11.4982783Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-07-17T07:12:11.4985443Z * DOCTEST : 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: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0, line 2676 <- wrt source file 2025-07-17T07:12:11.5004899Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0 2025-07-17T07:12:11.5007631Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0, line 3143 <- wrt source file 2025-07-17T07:12:11.5010444Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0 2025-07-17T07:12:11.5013219Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0, line 3372 <- wrt source file 2025-07-17T07:12:11.5016100Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0 2025-07-17T07:12:11.5018842Z * DOCTEST : 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* DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/autograd/__init__.py::context:0, line 47 <- wrt source file 2025-07-17T07:12:11.5104630Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/autograd/__init__.py::context:0 2025-07-17T07:12:11.5107434Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0, line 53 <- wrt source file 2025-07-17T07:12:11.5110547Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0 2025-07-17T07:12:11.5113355Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/contract.py::contract:0, line 66 <- wrt source file 2025-07-17T07:12:11.5116179Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/contract.py::contract:0 2025-07-17T07:12:11.5118878Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/replicate.py::replicate:0, line 190 <- wrt source file 2025-07-17T07:12:11.5121644Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_composable/replicate.py::replicate:0 2025-07-17T07:12:11.5124615Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0, line 31 <- wrt source file 2025-07-17T07:12:11.5127932Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0 2025-07-17T07:12:11.5131112Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::custom_sharded_op_impl:0, line 457 <- wrt source file 2025-07-17T07:12:11.5134255Z * SKIPPED: 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file 2025-07-17T07:12:11.5151481Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/join.py::Join:0 2025-07-17T07:12:11.5154316Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0, line 107 <- wrt source file 2025-07-17T07:12:11.5157644Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0 2025-07-17T07:12:11.5160801Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0, line 23 <- wrt source file 2025-07-17T07:12:11.5163992Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py::noop_hook:0 2025-07-17T07:12:11.5167154Z * DOCTEST : 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DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0, line 1613 <- wrt source file 2025-07-17T07:12:11.5324518Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.scatter_full_optim_state_dict:0 2025-07-17T07:12:11.5328367Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0, line 1698 <- wrt source file 2025-07-17T07:12:11.5332204Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py::FullyShardedDataParallel.rekey_optim_state_dict:0 2025-07-17T07:12:11.5335510Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0, line 54 <- wrt source file 2025-07-17T07:12:11.5338542Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py::ShardedGradScaler:0 2025-07-17T07:12:11.5341348Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0, line 224 <- wrt source file 2025-07-17T07:12:11.5343927Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/wrap.py::CustomPolicy:0 2025-07-17T07:12:11.5346513Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0, line 134 <- wrt source file 2025-07-17T07:12:11.5349240Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/functional.py::_all_gather_base:0 2025-07-17T07:12:11.5352260Z * DOCTEST : 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SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_tuple:0 2025-07-17T07:12:11.5389175Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0, line 102 <- wrt source file 2025-07-17T07:12:11.5392365Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0 2025-07-17T07:12:11.5395088Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::_wait_all:0, line 174 <- wrt source file 2025-07-17T07:12:11.5397511Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::_wait_all:0 2025-07-17T07:12:11.5399896Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/api.py::shutdown:0, line 345 <- wrt source file 2025-07-17T07:12:11.5402316Z * SKIPPED: 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2025-07-17T07:12:11.5452534Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/loss.py::loss_parallel:0 2025-07-17T07:12:11.5455733Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0, line 64 <- wrt source file 2025-07-17T07:12:11.5459146Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::ColwiseParallel:0 2025-07-17T07:12:11.5462407Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file 2025-07-17T07:12:11.5465734Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0 2025-07-17T07:12:11.5469028Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file 2025-07-17T07:12:11.5472551Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0 2025-07-17T07:12:11.5475564Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file 2025-07-17T07:12:11.5478463Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2025-07-17T07:12:11.5481127Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file 2025-07-17T07:12:11.5483750Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/beta.py::Beta:0 2025-07-17T07:12:11.5486560Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file 2025-07-17T07:12:11.5489471Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/binomial.py::Binomial:0 2025-07-17T07:12:11.5492419Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file 2025-07-17T07:12:11.5495325Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/categorical.py::Categorical:0 2025-07-17T07:12:11.5497801Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-07-17T07:12:11.5500264Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-07-17T07:12:11.5502657Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-07-17T07:12:11.5504977Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/chi2.py::Chi2:0 2025-07-17T07:12:11.5507418Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::is_dependent:0, line 166 <- wrt source file 2025-07-17T07:12:11.5510182Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-07-17T07:12:11.5512894Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 187 <- wrt source file 2025-07-17T07:12:11.5515729Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-07-17T07:12:11.5518636Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-07-17T07:12:11.5521681Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-07-17T07:12:11.5524427Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 42 <- wrt source file 2025-07-17T07:12:11.5527007Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-07-17T07:12:11.5529569Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-07-17T07:12:11.5532224Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/exponential.py::Exponential:0 2025-07-17T07:12:11.5534914Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-07-17T07:12:11.5537727Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-07-17T07:12:11.5540336Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-07-17T07:12:11.5542681Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gamma.py::Gamma:0 2025-07-17T07:12:11.5545307Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-07-17T07:12:11.5548274Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-07-17T07:12:11.5551019Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-07-17T07:12:11.5553572Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/geometric.py::Geometric:0 2025-07-17T07:12:11.5555979Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-07-17T07:12:11.5558391Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-07-17T07:12:11.5560825Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-07-17T07:12:11.5563513Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-07-17T07:12:11.5566051Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-07-17T07:12:11.5568638Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-07-17T07:12:11.5571490Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-07-17T07:12:11.5574166Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/independent.py::Independent:0 2025-07-17T07:12:11.5576815Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-07-17T07:12:11.5579577Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-07-17T07:12:11.5582216Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-07-17T07:12:11.5584872Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-07-17T07:12:11.5587381Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-07-17T07:12:11.5589819Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/laplace.py::Laplace:0 2025-07-17T07:12:11.5592308Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-07-17T07:12:11.5594974Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-07-17T07:12:11.5597508Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-07-17T07:12:11.5600065Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-07-17T07:12:11.5602734Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-07-17T07:12:11.5605527Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-07-17T07:12:11.5608202Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-07-17T07:12:11.5610885Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-07-17T07:12:11.5613752Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-07-17T07:12:11.5616777Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-07-17T07:12:11.5619480Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-07-17T07:12:11.5621883Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/normal.py::Normal:0 2025-07-17T07:12:11.5624511Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file 2025-07-17T07:12:11.5627540Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-07-17T07:12:11.5630137Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-07-17T07:12:11.5632541Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/pareto.py::Pareto:0 2025-07-17T07:12:11.5634999Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-07-17T07:12:11.5637473Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/poisson.py::Poisson:0 2025-07-17T07:12:11.5639918Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-07-17T07:12:11.5642420Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/studentT.py::StudentT:0 2025-07-17T07:12:11.5644974Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1065 <- wrt source file 2025-07-17T07:12:11.5647629Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CatTransform:0 2025-07-17T07:12:11.5650274Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1177 <- wrt source file 2025-07-17T07:12:11.5652997Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::StackTransform:0 2025-07-17T07:12:11.5655911Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1253 <- wrt source file 2025-07-17T07:12:11.5659045Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2025-07-17T07:12:11.5661841Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2025-07-17T07:12:11.5664278Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/uniform.py::Uniform:0 2025-07-17T07:12:11.5666699Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-07-17T07:12:11.5669176Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-07-17T07:12:11.5671760Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/von_mises.py::VonMises:0, line 117 <- wrt source file 2025-07-17T07:12:11.5674395Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-07-17T07:12:11.5676824Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-07-17T07:12:11.5679273Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/weibull.py::Weibull:0 2025-07-17T07:12:11.5681663Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file 2025-07-17T07:12:11.5684121Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/wishart.py::Wishart:0 2025-07-17T07:12:11.5686460Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 103 <- wrt source file 2025-07-17T07:12:11.5688882Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::Dim:0 2025-07-17T07:12:11.5691336Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 715 <- wrt source file 2025-07-17T07:12:11.5693996Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0 2025-07-17T07:12:11.5696711Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 731 <- wrt source file 2025-07-17T07:12:11.5699434Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1 2025-07-17T07:12:11.5702037Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 815 <- wrt source file 2025-07-17T07:12:11.5704693Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0 2025-07-17T07:12:11.5707063Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::_snake_case:0, line 102 <- wrt source file 2025-07-17T07:12:11.5709269Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::_snake_case:0 2025-07-17T07:12:11.5711613Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0, line 1762 <- wrt source file 2025-07-17T07:12:11.5714130Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0 2025-07-17T07:12:11.5716561Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 1856 <- wrt source file 2025-07-17T07:12:11.5719005Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/graph.py::Graph.on_generate_code:0 2025-07-17T07:12:11.5721393Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/interpreter.py::Interpreter:0, line 48 <- wrt source file 2025-07-17T07:12:11.5723750Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/interpreter.py::Interpreter:0 2025-07-17T07:12:11.5726092Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/interpreter.py::Transformer:0, line 466 <- wrt source file 2025-07-17T07:12:11.5728464Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/interpreter.py::Transformer:0 2025-07-17T07:12:11.5730884Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0, line 125 <- wrt source file 2025-07-17T07:12:11.5733461Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/subgraph_rewriter.py::replace_pattern:0 2025-07-17T07:12:11.5735942Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file 2025-07-17T07:12:11.5738266Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::TensorType:0 2025-07-17T07:12:11.5740641Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::is_consistent:0, line 65 <- wrt source file 2025-07-17T07:12:11.5742998Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::is_consistent:0 2025-07-17T07:12:11.5745339Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::is_more_precise:0, line 93 <- wrt source file 2025-07-17T07:12:11.5747789Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/tensor_type.py::is_more_precise:0 2025-07-17T07:12:11.5750462Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0, line 96 <- wrt source file 2025-07-17T07:12:11.5753420Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0 2025-07-17T07:12:11.5756296Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/core.py::reify:0, line 58 <- wrt source file 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file 2025-07-17T07:12:11.5975343Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0 2025-07-17T07:12:11.5977777Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/split_module.py::split_module:0, line 89 <- wrt source file 2025-07-17T07:12:11.5980360Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/split_module.py::split_module:0 2025-07-17T07:12:11.5983412Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file 2025-07-17T07:12:11.5986951Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0 2025-07-17T07:12:11.5990015Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, 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/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 214 <- wrt source file 2025-07-17T07:12:11.6009151Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0 2025-07-17T07:12:11.6011642Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/_ops.py::logaddexp:0, line 1530 <- wrt source file 2025-07-17T07:12:11.6013899Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/_ops.py::logaddexp:0 2025-07-17T07:12:11.6016345Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file 2025-07-17T07:12:11.6019697Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2025-07-17T07:12:11.6022809Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 464 <- wrt source file 2025-07-17T07:12:11.6026005Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2025-07-17T07:12:11.6029180Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 583 <- wrt source file 2025-07-17T07:12:11.6657523Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-07-17T07:12:11.6679681Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2178 <- wrt source file 2025-07-17T07:12:11.6690495Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-07-17T07:12:11.6693394Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding:0, line 2482 <- wrt source file 2025-07-17T07:12:11.6709413Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding:0 2025-07-17T07:12:11.6712205Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding_bag:0, line 2622 <- wrt source file 2025-07-17T07:12:11.6755824Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::embedding_bag:0 2025-07-17T07:12:11.6757952Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::ctc_loss:0, line 3055 <- wrt source file 2025-07-17T07:12:11.6792882Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::ctc_loss:0 2025-07-17T07:12:11.6794926Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::nll_loss:0, line 3125 <- wrt source file 2025-07-17T07:12:11.6818143Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::nll_loss:0 2025-07-17T07:12:11.6821189Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::cross_entropy:0, line 3434 <- wrt source file 2025-07-17T07:12:11.6837684Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::cross_entropy:0 2025-07-17T07:12:11.6840495Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3499 <- wrt source file 2025-07-17T07:12:11.6871631Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-07-17T07:12:11.6874261Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3569 <- wrt source file 2025-07-17T07:12:11.6889232Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-07-17T07:12:11.6892068Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::pad:0, line 5267 <- wrt source file 2025-07-17T07:12:11.6899280Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/functional.py::pad:0 2025-07-17T07:12:11.6901429Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-07-17T07:12:11.6954446Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_input:0 2025-07-17T07:12:11.6956668Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-07-17T07:12:11.6959655Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-07-17T07:12:11.6961866Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-07-17T07:12:11.6978283Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_input:0 2025-07-17T07:12:11.6980704Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-07-17T07:12:11.6984311Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-07-17T07:12:11.6986558Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-07-17T07:12:11.7530526Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_input:0 2025-07-17T07:12:11.7532698Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-07-17T07:12:11.7604779Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-07-17T07:12:11.7607009Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::uniform_:0, line 230 <- wrt source file 2025-07-17T07:12:11.7609602Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::uniform_:0 2025-07-17T07:12:11.7611491Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::normal_:0, line 257 <- wrt source file 2025-07-17T07:12:11.7614232Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::normal_:0 2025-07-17T07:12:11.7616074Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::trunc_normal_:0, line 292 <- wrt source file 2025-07-17T07:12:11.7630068Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::trunc_normal_:0 2025-07-17T07:12:11.7632516Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::constant_:0, line 306 <- wrt source file 2025-07-17T07:12:11.7634778Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::constant_:0 2025-07-17T07:12:11.7636826Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::ones_:0, line 323 <- wrt source file 2025-07-17T07:12:11.7638908Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::ones_:0 2025-07-17T07:12:11.7640945Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::zeros_:0, line 336 <- wrt source file 2025-07-17T07:12:11.7643038Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::zeros_:0 2025-07-17T07:12:11.7645139Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::eye_:0, line 352 <- wrt source file 2025-07-17T07:12:11.7647194Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::eye_:0 2025-07-17T07:12:11.7649227Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::dirac_:0, line 374 <- wrt source file 2025-07-17T07:12:11.7651300Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::dirac_:0 2025-07-17T07:12:11.7653580Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_uniform_:0, line 460 <- wrt source file 2025-07-17T07:12:11.7655835Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-07-17T07:12:11.7658045Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_normal_:0, line 492 <- wrt source file 2025-07-17T07:12:11.7660360Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::xavier_normal_:0 2025-07-17T07:12:11.7662567Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 543 <- wrt source file 2025-07-17T07:12:11.7664836Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-07-17T07:12:11.7667071Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_normal_:0, line 608 <- wrt source file 2025-07-17T07:12:11.7669327Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-07-17T07:12:11.7671693Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::orthogonal_:0, line 647 <- wrt source file 2025-07-17T07:12:11.7673898Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::orthogonal_:0 2025-07-17T07:12:11.7676087Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::sparse_:0, line 700 <- wrt source file 2025-07-17T07:12:11.7678348Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py::sparse_:0 2025-07-17T07:12:11.7680626Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 119 <- wrt source file 2025-07-17T07:12:11.7683104Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-07-17T07:12:11.7685506Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 95 <- wrt source file 2025-07-17T07:12:11.7687904Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-07-17T07:12:11.7690517Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-07-17T07:12:11.7693443Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-07-17T07:12:11.7695818Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU:0, line 114 <- wrt source file 2025-07-17T07:12:11.7700541Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-07-17T07:12:11.7702958Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::RReLU:0, line 173 <- wrt source file 2025-07-17T07:12:11.7705419Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-07-17T07:12:11.7708078Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 229 <- wrt source file 2025-07-17T07:12:11.7710594Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-07-17T07:12:11.7713005Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 294 <- wrt source file 2025-07-17T07:12:11.7715599Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-07-17T07:12:11.7718012Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 322 <- wrt source file 2025-07-17T07:12:11.7720485Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-07-17T07:12:11.7722962Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 354 <- wrt source file 2025-07-17T07:12:11.7725539Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-07-17T07:12:11.7727992Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanh:0, line 387 <- wrt source file 2025-07-17T07:12:11.7730379Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-07-17T07:12:11.7732699Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SiLU:0, line 420 <- wrt source file 2025-07-17T07:12:11.7744040Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-07-17T07:12:11.7746426Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Mish:0, line 459 <- wrt source file 2025-07-17T07:12:11.7749969Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Mish:0 2025-07-17T07:12:11.7752413Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 504 <- wrt source file 2025-07-17T07:12:11.7760049Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-07-17T07:12:11.7762446Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ELU:0, line 547 <- wrt source file 2025-07-17T07:12:11.7765023Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::ELU:0 2025-07-17T07:12:11.7767375Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::CELU:0, line 589 <- wrt source file 2025-07-17T07:12:11.7770155Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::CELU:0 2025-07-17T07:12:11.7772519Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SELU:0, line 642 <- wrt source file 2025-07-17T07:12:11.7774984Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::SELU:0 2025-07-17T07:12:11.7777344Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GLU:0, line 682 <- wrt source file 2025-07-17T07:12:11.7788530Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GLU:0 2025-07-17T07:12:11.7790879Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GELU:0, line 724 <- wrt source file 2025-07-17T07:12:11.7893129Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::GELU:0 2025-07-17T07:12:11.7895669Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 767 <- wrt source file 2025-07-17T07:12:11.7908441Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-07-17T07:12:11.7911269Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 816 <- wrt source file 2025-07-17T07:12:11.7913829Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-07-17T07:12:11.7916326Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 852 <- wrt source file 2025-07-17T07:12:11.7918935Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-07-17T07:12:11.7921436Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softplus:0, line 885 <- wrt source file 2025-07-17T07:12:11.7923970Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-07-17T07:12:11.7926495Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 928 <- wrt source file 2025-07-17T07:12:11.7929079Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-07-17T07:12:11.7931745Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1036 <- wrt source file 2025-07-17T07:12:11.7934539Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-07-17T07:12:11.7937086Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1501 <- wrt source file 2025-07-17T07:12:11.7939603Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-07-17T07:12:11.7942055Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1543 <- wrt source file 2025-07-17T07:12:11.7944563Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-07-17T07:12:11.7947036Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1566 <- wrt source file 2025-07-17T07:12:11.7949711Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-07-17T07:12:11.7952199Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1601 <- wrt source file 2025-07-17T07:12:11.7954694Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-07-17T07:12:11.7957484Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1659 <- wrt source file 2025-07-17T07:12:11.7960369Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-07-17T07:12:11.7963152Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1700 <- wrt source file 2025-07-17T07:12:11.7965778Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-07-17T07:12:11.7968257Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1736 <- wrt source file 2025-07-17T07:12:11.7970991Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-07-17T07:12:11.7973616Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 330 <- wrt source file 2025-07-17T07:12:11.8000267Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-07-17T07:12:11.8002784Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 441 <- wrt source file 2025-07-17T07:12:11.8222252Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-07-17T07:12:11.8225024Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 552 <- wrt source file 2025-07-17T07:12:12.0680980Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-07-17T07:12:12.0833697Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-07-17T07:12:12.0855423Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-07-17T07:12:12.0858031Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-07-17T07:12:12.0860597Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential:0 2025-07-17T07:12:12.0863144Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 254 <- wrt source file 2025-07-17T07:12:12.0867063Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-07-17T07:12:12.0869845Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 277 <- wrt source file 2025-07-17T07:12:12.0878833Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-07-17T07:12:12.0881481Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 308 <- wrt source file 2025-07-17T07:12:12.0889044Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-07-17T07:12:12.0892170Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleList:0, line 337 <- wrt source file 2025-07-17T07:12:12.0895099Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-07-17T07:12:12.0897462Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 517 <- wrt source file 2025-07-17T07:12:12.0900090Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-07-17T07:12:12.0902781Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterList:0, line 647 <- wrt source file 2025-07-17T07:12:12.0905867Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-07-17T07:12:12.0908786Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 799 <- wrt source file 2025-07-17T07:12:12.0911301Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-07-17T07:12:12.0914411Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-07-17T07:12:12.0917119Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-07-17T07:12:12.0919852Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 78 <- wrt source file 2025-07-17T07:12:12.0922750Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-07-17T07:12:12.0925443Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-07-17T07:12:12.0928061Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-07-17T07:12:12.0930620Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 105 <- wrt source file 2025-07-17T07:12:12.0933277Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-07-17T07:12:12.0935645Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 157 <- wrt source file 2025-07-17T07:12:12.0955666Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-07-17T07:12:12.0958168Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 202 <- wrt source file 2025-07-17T07:12:12.1027258Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-07-17T07:12:12.1029734Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 245 <- wrt source file 2025-07-17T07:12:12.1033821Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-07-17T07:12:12.1036532Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 294 <- wrt source file 2025-07-17T07:12:12.1107201Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-07-17T07:12:12.1110037Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file 2025-07-17T07:12:12.1116380Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-07-17T07:12:12.1118690Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-07-17T07:12:12.1132961Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Fold:0 2025-07-17T07:12:12.1135303Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Unfold:0, line 389 <- wrt source file 2025-07-17T07:12:12.1172059Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-07-17T07:12:12.1175391Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file 2025-07-17T07:12:12.1187611Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-07-17T07:12:12.1190886Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file 2025-07-17T07:12:12.1373522Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-07-17T07:12:12.1376306Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file 2025-07-17T07:12:12.3789722Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-07-17T07:12:12.3942823Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-07-17T07:12:12.3945425Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-07-17T07:12:12.3947454Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-07-17T07:12:12.3954976Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Identity:0 2025-07-17T07:12:12.3957292Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Linear:0, line 80 <- wrt source file 2025-07-17T07:12:12.3981759Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Linear:0 2025-07-17T07:12:12.3984171Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 179 <- wrt source file 2025-07-17T07:12:12.4004450Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-07-17T07:12:12.4006948Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file 2025-07-17T07:12:12.4014394Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-07-17T07:12:12.4016889Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 212 <- wrt source file 2025-07-17T07:12:12.4043481Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-07-17T07:12:12.4046571Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 323 <- wrt source file 2025-07-17T07:12:12.4056849Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-07-17T07:12:12.4059814Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 409 <- wrt source file 2025-07-17T07:12:12.4072679Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-07-17T07:12:12.4075125Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 523 <- wrt source file 2025-07-17T07:12:12.4081216Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-07-17T07:12:12.4084058Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 602 <- wrt source file 2025-07-17T07:12:12.4088724Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-07-17T07:12:12.4090989Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 685 <- wrt source file 2025-07-17T07:12:12.4096822Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-07-17T07:12:12.4099282Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 757 <- wrt source file 2025-07-17T07:12:12.4108601Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-07-17T07:12:12.4111223Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 805 <- wrt source file 2025-07-17T07:12:12.4115738Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-07-17T07:12:12.4118613Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 951 <- wrt source file 2025-07-17T07:12:12.4124861Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-07-17T07:12:12.4127408Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1277 <- wrt source file 2025-07-17T07:12:12.4134084Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-07-17T07:12:12.4137023Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1419 <- wrt source file 2025-07-17T07:12:12.4152474Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-07-17T07:12:12.4155115Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1485 <- wrt source file 2025-07-17T07:12:12.4159667Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-07-17T07:12:12.4162166Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1565 <- wrt source file 2025-07-17T07:12:12.4168505Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-07-17T07:12:12.4171146Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1666 <- wrt source file 2025-07-17T07:12:12.4180222Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-07-17T07:12:12.4182987Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 551 <- wrt source file 2025-07-17T07:12:12.4185955Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-07-17T07:12:12.4188668Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1037 <- wrt source file 2025-07-17T07:12:12.4197095Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-07-17T07:12:12.4199486Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.to:0, line 1288 <- wrt source file 2025-07-17T07:12:12.4204641Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.to:0 2025-07-17T07:12:12.4207127Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2224 <- wrt source file 2025-07-17T07:12:12.4209917Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-07-17T07:12:12.4212448Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2665 <- wrt source file 2025-07-17T07:12:12.4215043Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-07-17T07:12:12.4217643Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2693 <- wrt source file 2025-07-17T07:12:12.4220438Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-07-17T07:12:12.4222987Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2720 <- wrt source file 2025-07-17T07:12:12.4225514Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-07-17T07:12:12.4228052Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2747 <- wrt source file 2025-07-17T07:12:12.4230681Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-07-17T07:12:12.4233289Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2778 <- wrt source file 2025-07-17T07:12:12.4235934Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-07-17T07:12:12.4238466Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2802 <- wrt source file 2025-07-17T07:12:12.4240860Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-07-17T07:12:12.4243387Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2840 <- wrt source file 2025-07-17T07:12:12.4246047Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-07-17T07:12:12.4248914Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-07-17T07:12:12.4268436Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-07-17T07:12:12.4272116Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 151 <- wrt source file 2025-07-17T07:12:12.4299978Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-07-17T07:12:12.4302907Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 262 <- wrt source file 2025-07-17T07:12:12.4324622Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-07-17T07:12:12.4327265Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 355 <- wrt source file 2025-07-17T07:12:12.4330315Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-07-17T07:12:12.4332771Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-07-17T07:12:12.4337622Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-07-17T07:12:12.4340168Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 122 <- wrt source file 2025-07-17T07:12:12.4359483Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-07-17T07:12:12.4361954Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 187 <- wrt source file 2025-07-17T07:12:13.0623546Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-07-17T07:12:13.0895447Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 241 <- wrt source file 2025-07-17T07:12:13.0905322Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-07-17T07:12:13.0907812Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 294 <- wrt source file 2025-07-17T07:12:13.0912466Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-07-17T07:12:13.0914952Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 350 <- wrt source file 2025-07-17T07:12:13.0938073Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-07-17T07:12:13.0940662Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 395 <- wrt source file 2025-07-17T07:12:13.0957410Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-07-17T07:12:13.0960052Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 439 <- wrt source file 2025-07-17T07:12:13.0974992Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-07-17T07:12:13.0977552Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 497 <- wrt source file 2025-07-17T07:12:13.0988149Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-07-17T07:12:13.0990736Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 556 <- wrt source file 2025-07-17T07:12:13.0994556Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-07-17T07:12:13.0997261Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 600 <- wrt source file 2025-07-17T07:12:13.1011315Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-07-17T07:12:13.1014070Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 658 <- wrt source file 2025-07-17T07:12:13.6023644Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-07-17T07:12:13.6291746Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 692 <- wrt source file 2025-07-17T07:12:13.6301380Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-07-17T07:12:13.6303736Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 747 <- wrt source file 2025-07-17T07:12:13.6308296Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-07-17T07:12:13.6310653Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 806 <- wrt source file 2025-07-17T07:12:13.6331663Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-07-17T07:12:13.6334215Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-07-17T07:12:13.6338037Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-07-17T07:12:13.6340670Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 93 <- wrt source file 2025-07-17T07:12:13.6350491Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-07-17T07:12:13.6352949Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-07-17T07:12:13.6364935Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-07-17T07:12:13.6367276Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 206 <- wrt source file 2025-07-17T07:12:13.6423072Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-07-17T07:12:13.6425454Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 289 <- wrt source file 2025-07-17T07:12:13.8626884Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-07-17T07:12:13.8681622Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 363 <- wrt source file 2025-07-17T07:12:13.8693197Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-07-17T07:12:13.8695658Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 545 <- wrt source file 2025-07-17T07:12:13.9538159Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-07-17T07:12:13.9540750Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 636 <- wrt source file 2025-07-17T07:12:13.9558542Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-07-17T07:12:13.9560931Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 731 <- wrt source file 2025-07-17T07:12:13.9598513Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-07-17T07:12:13.9600929Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 847 <- wrt source file 2025-07-17T07:12:14.1236214Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-07-17T07:12:14.1295832Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 937 <- wrt source file 2025-07-17T07:12:14.1344964Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-07-17T07:12:14.1347301Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1024 <- wrt source file 2025-07-17T07:12:14.2079484Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-07-17T07:12:14.2081990Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1143 <- wrt source file 2025-07-17T07:12:14.2088895Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-07-17T07:12:14.2091591Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1194 <- wrt source file 2025-07-17T07:12:14.2143445Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-07-17T07:12:14.2146548Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1253 <- wrt source file 2025-07-17T07:12:14.4320943Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-07-17T07:12:14.4381386Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1308 <- wrt source file 2025-07-17T07:12:14.4398694Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-07-17T07:12:14.4401312Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1342 <- wrt source file 2025-07-17T07:12:14.4408439Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-07-17T07:12:14.4411038Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1385 <- wrt source file 2025-07-17T07:12:14.4498071Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-07-17T07:12:14.4500625Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1432 <- wrt source file 2025-07-17T07:12:14.4514311Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-07-17T07:12:14.4516890Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1463 <- wrt source file 2025-07-17T07:12:14.4523942Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-07-17T07:12:14.4526559Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1502 <- wrt source file 2025-07-17T07:12:14.4544272Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-07-17T07:12:14.4546635Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNN:0, line 595 <- wrt source file 2025-07-17T07:12:14.4557818Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-07-17T07:12:14.4560687Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 950 <- wrt source file 2025-07-17T07:12:14.5022500Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-07-17T07:12:14.5024501Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1285 <- wrt source file 2025-07-17T07:12:14.5042473Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-07-17T07:12:14.5044722Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1534 <- wrt source file 2025-07-17T07:12:14.5054264Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-07-17T07:12:14.5056509Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1656 <- wrt source file 2025-07-17T07:12:14.5065929Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-07-17T07:12:14.5068176Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1770 <- wrt source file 2025-07-17T07:12:14.5082074Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-07-17T07:12:14.5084668Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-07-17T07:12:14.5096422Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-07-17T07:12:14.5098714Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file 2025-07-17T07:12:14.5103598Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-07-17T07:12:14.5106317Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 521 <- wrt source file 2025-07-17T07:12:14.5111024Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-07-17T07:12:14.5114324Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 90 <- wrt source file 2025-07-17T07:12:15.3299701Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-07-17T07:12:15.3316608Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 336 <- wrt source file 2025-07-17T07:12:15.4411814Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-07-17T07:12:15.4418424Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 562 <- wrt source file 2025-07-17T07:12:15.6813138Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-07-17T07:12:15.6821782Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 686 <- wrt source file 2025-07-17T07:12:15.7104687Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-07-17T07:12:15.7234692Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 995 <- wrt source file 2025-07-17T07:12:15.7770864Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-07-17T07:12:15.7773560Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-07-17T07:12:15.7825932Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-07-17T07:12:15.7828532Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 223 <- wrt source file 2025-07-17T07:12:15.7838863Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-07-17T07:12:15.7841622Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 273 <- wrt source file 2025-07-17T07:12:15.7847634Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-07-17T07:12:15.7850888Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 127 <- wrt source file 2025-07-17T07:12:15.7853553Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-07-17T07:12:15.7856331Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 642 <- wrt source file 2025-07-17T07:12:15.7859294Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-07-17T07:12:15.7862262Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1446 <- wrt source file 2025-07-17T07:12:15.7865351Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-07-17T07:12:15.7868501Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 1999 <- wrt source file 2025-07-17T07:12:15.7872238Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-07-17T07:12:15.7875520Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2009 <- wrt source file 2025-07-17T07:12:15.7878845Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-07-17T07:12:15.7882177Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2044 <- wrt source file 2025-07-17T07:12:15.7885769Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-07-17T07:12:15.7888804Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2025-07-17T07:12:15.7891620Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2025-07-17T07:12:15.7894219Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2025-07-17T07:12:15.7896501Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/init.py::skip_init:0 2025-07-17T07:12:15.7898944Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file 2025-07-17T07:12:15.7901648Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-07-17T07:12:15.7904257Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 360 <- wrt source file 2025-07-17T07:12:15.7906904Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-07-17T07:12:15.7909537Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 591 <- wrt source file 2025-07-17T07:12:15.7912238Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-07-17T07:12:15.7914680Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::identity:0, line 849 <- wrt source file 2025-07-17T07:12:15.7916975Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::identity:0 2025-07-17T07:12:15.7919371Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 885 <- wrt source file 2025-07-17T07:12:15.7921916Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-07-17T07:12:15.7924364Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 928 <- wrt source file 2025-07-17T07:12:15.7926786Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-07-17T07:12:15.7929194Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_structured:0, line 968 <- wrt source file 2025-07-17T07:12:15.7931676Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-07-17T07:12:15.7934088Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::remove:0, line 1197 <- wrt source file 2025-07-17T07:12:15.7936327Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::remove:0 2025-07-17T07:12:15.7938552Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1225 <- wrt source file 2025-07-17T07:12:15.7940936Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-07-17T07:12:15.7943214Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 431 <- wrt source file 2025-07-17T07:12:15.7945593Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-07-17T07:12:15.7947872Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 492 <- wrt source file 2025-07-17T07:12:15.7950240Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-07-17T07:12:15.7952623Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 548 <- wrt source file 2025-07-17T07:12:15.7954969Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-07-17T07:12:15.7957273Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 576 <- wrt source file 2025-07-17T07:12:15.7971054Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-07-17T07:12:15.7973600Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file 2025-07-17T07:12:15.7977795Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-07-17T07:12:15.7980508Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 346 <- wrt source file 2025-07-17T07:12:15.7985132Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-07-17T07:12:15.7987744Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 196 <- wrt source file 2025-07-17T07:12:15.7990302Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-07-17T07:12:15.7992649Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file 2025-07-17T07:12:15.8004679Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-07-17T07:12:15.8007234Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file 2025-07-17T07:12:15.8010208Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-07-17T07:12:15.8012912Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2025-07-17T07:12:15.8015732Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-07-17T07:12:15.8019035Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file 2025-07-17T07:12:15.8022645Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2025-07-17T07:12:15.8025563Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 280 <- wrt source file 2025-07-17T07:12:15.8027982Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-07-17T07:12:15.8030439Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 388 <- wrt source file 2025-07-17T07:12:15.8033116Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-07-17T07:12:15.8035532Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 491 <- wrt source file 2025-07-17T07:12:15.8037893Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-07-17T07:12:15.8040396Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 547 <- wrt source file 2025-07-17T07:12:15.8042861Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-07-17T07:12:15.8045270Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 608 <- wrt source file 2025-07-17T07:12:15.8047723Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-07-17T07:12:15.8050097Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 683 <- wrt source file 2025-07-17T07:12:15.8052511Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-07-17T07:12:15.8054911Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 773 <- wrt source file 2025-07-17T07:12:15.8057415Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-07-17T07:12:15.8059943Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 971 <- wrt source file 2025-07-17T07:12:15.8062436Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-07-17T07:12:15.8064973Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1062 <- wrt source file 2025-07-17T07:12:15.8067582Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-07-17T07:12:15.8070348Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1134 <- wrt source file 2025-07-17T07:12:15.8072957Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-07-17T07:12:15.8075704Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 1794 <- wrt source file 2025-07-17T07:12:15.8078758Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-07-17T07:12:15.8081686Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 1810 <- wrt source file 2025-07-17T07:12:15.8084667Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-07-17T07:12:15.8099414Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::update_bn:0, line 337 <- wrt source file 2025-07-17T07:12:15.8101956Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py::update_bn:0 2025-07-17T07:12:15.8104295Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file 2025-07-17T07:12:15.8106866Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/package/glob_group.py::GlobGroup:0 2025-07-17T07:12:15.8109589Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 295 <- wrt source file 2025-07-17T07:12:15.8112685Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0 2025-07-17T07:12:15.8115435Z * DOCTEST : 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/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4731 <- wrt source file 2025-07-17T07:12:15.8150117Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0 2025-07-17T07:12:15.8153085Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0, line 4745 <- wrt source file 2025-07-17T07:12:15.8156180Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0 2025-07-17T07:12:15.8159137Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4775 <- wrt source file 2025-07-17T07:12:15.8162137Z * SKIPPED: 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<- wrt source file 2025-07-17T07:12:15.8180289Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0 2025-07-17T07:12:15.8183618Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file 2025-07-17T07:12:15.8187125Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0 2025-07-17T07:12:15.8189930Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 277 <- wrt source file 2025-07-17T07:12:15.8192332Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0 2025-07-17T07:12:15.8194662Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 320 <- wrt source file 2025-07-17T07:12:15.8197084Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-07-17T07:12:15.8199475Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 357 <- wrt source file 2025-07-17T07:12:15.8201941Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-07-17T07:12:15.8204277Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 387 <- wrt source file 2025-07-17T07:12:15.8206638Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-07-17T07:12:15.8208944Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 422 <- wrt source file 2025-07-17T07:12:15.8211329Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-07-17T07:12:15.8213709Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 457 <- wrt source file 2025-07-17T07:12:15.8216238Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-07-17T07:12:15.8218581Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 494 <- wrt source file 2025-07-17T07:12:15.8220950Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-07-17T07:12:15.8223324Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 910 <- wrt source file 2025-07-17T07:12:15.8225841Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-07-17T07:12:15.8228317Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 307 <- wrt source file 2025-07-17T07:12:15.8230871Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-07-17T07:12:15.8233307Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_constant:0, line 423 <- wrt source file 2025-07-17T07:12:15.8235865Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::register_constant:0 2025-07-17T07:12:15.8238204Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1030 <- wrt source file 2025-07-17T07:12:15.8240553Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-07-17T07:12:15.8242817Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_map:0, line 1349 <- wrt source file 2025-07-17T07:12:15.8245099Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_pytree.py::tree_map:0 2025-07-17T07:12:15.8247701Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 69 <- wrt source file 2025-07-17T07:12:15.8250693Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-07-17T07:12:15.8253755Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 375 <- wrt source file 2025-07-17T07:12:15.8256991Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0 2025-07-17T07:12:15.8260021Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 410 <- wrt source file 2025-07-17T07:12:15.8262843Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0 2025-07-17T07:12:15.8265558Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 547 <- wrt source file 2025-07-17T07:12:15.8268225Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0 2025-07-17T07:12:15.8270976Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 749 <- wrt source file 2025-07-17T07:12:15.8273703Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2025-07-17T07:12:15.8276264Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 80 <- wrt source file 2025-07-17T07:12:15.8278607Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/dlpack.py::from_dlpack:0 2025-07-17T07:12:15.8281184Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 718 <- wrt source file 2025-07-17T07:12:16.0960416Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-07-17T07:12:16.0961924Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-07-17T07:12:16.0963922Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-07-17T07:12:16.0965588Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 219 <- wrt source file 2025-07-17T07:12:16.0967012Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-07-17T07:12:16.0968337Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::random_split:0, line 441 <- wrt source file 2025-07-17T07:12:16.0970173Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/dataset.py::random_split:0 2025-07-17T07:12:16.0971492Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::Sampler:0, line 40 <- wrt source file 2025-07-17T07:12:16.0972970Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-07-17T07:12:16.0974411Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 238 <- wrt source file 2025-07-17T07:12:16.0975953Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-07-17T07:12:16.0977425Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 301 <- wrt source file 2025-07-17T07:12:16.0978929Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-07-17T07:12:16.0980426Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2025-07-17T07:12:16.0981951Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-07-17T07:12:16.0983440Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2025-07-17T07:12:16.0984800Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-07-17T07:12:16.0986293Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 364 <- wrt source file 2025-07-17T07:12:16.0987977Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-07-17T07:12:16.0989924Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file 2025-07-17T07:12:16.0991718Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-07-17T07:12:16.0993566Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 264 <- wrt source file 2025-07-17T07:12:16.0995084Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-07-17T07:12:16.0996538Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 52 <- wrt source file 2025-07-17T07:12:16.0998092Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-07-17T07:12:16.0999630Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 198 <- wrt source file 2025-07-17T07:12:16.1001280Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-07-17T07:12:16.1002854Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 88 <- wrt source file 2025-07-17T07:12:16.1004497Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-07-17T07:12:16.1006140Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file 2025-07-17T07:12:16.1017707Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0 2025-07-17T07:12:16.1019652Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 88 <- wrt source file 2025-07-17T07:12:16.1021848Z * SKIPPED: 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603 <- wrt source file 2025-07-17T07:12:16.1032735Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2025-07-17T07:12:16.1034904Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 671 <- wrt source file 2025-07-17T07:12:16.1036883Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2025-07-17T07:12:16.1038880Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 30 <- wrt source file 2025-07-17T07:12:16.1041018Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-07-17T07:12:16.1042613Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 35 <- wrt source file 2025-07-17T07:12:16.1044455Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-07-17T07:12:16.1046162Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 53 <- wrt source file 2025-07-17T07:12:16.1048180Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0 2025-07-17T07:12:16.1050492Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 113 <- wrt source file 2025-07-17T07:12:16.1052688Z * SKIPPED: 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<- wrt source file 2025-07-17T07:12:16.1066299Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-07-17T07:12:16.1067957Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file 2025-07-17T07:12:16.1069962Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-07-17T07:12:16.1071655Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 35 <- wrt source file 2025-07-17T07:12:16.1073605Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-07-17T07:12:16.1075169Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file 2025-07-17T07:12:16.1076784Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-07-17T07:12:16.1078341Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file 2025-07-17T07:12:16.1079896Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0 2025-07-17T07:12:16.1081417Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 73 <- wrt source file 2025-07-17T07:12:16.1083073Z * SKIPPED: 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file 2025-07-17T07:12:16.1096262Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-07-17T07:12:16.1098946Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2025-07-17T07:12:16.1101443Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-07-17T07:12:16.1103727Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2025-07-17T07:12:16.1106021Z * SUCCESS: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-07-17T07:12:16.1108223Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2025-07-17T07:12:16.1110513Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-07-17T07:12:16.1112841Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 216 <- wrt source file 2025-07-17T07:12:16.1115199Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-07-17T07:12:16.1117504Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 314 <- wrt source file 2025-07-17T07:12:16.1120070Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-07-17T07:12:16.1122472Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 362 <- wrt source file 2025-07-17T07:12:16.1124991Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-07-17T07:12:16.1127446Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 394 <- wrt source file 2025-07-17T07:12:16.1129888Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-07-17T07:12:16.1132312Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 441 <- wrt source file 2025-07-17T07:12:16.1134911Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-07-17T07:12:16.1137258Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 480 <- wrt source file 2025-07-17T07:12:16.1139789Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-07-17T07:12:16.1142453Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 533 <- wrt source file 2025-07-17T07:12:16.1144961Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0 2025-07-17T07:12:16.1147533Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 599 <- wrt source file 2025-07-17T07:12:16.1149929Z * SKIPPED: 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2025-07-17T07:12:16.1164900Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-07-17T07:12:16.1167439Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 989 <- wrt source file 2025-07-17T07:12:16.1170292Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-07-17T07:12:16.1172904Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1063 <- wrt source file 2025-07-17T07:12:16.1175817Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-07-17T07:12:16.1178472Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1084 <- wrt source file 2025-07-17T07:12:16.1181438Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-07-17T07:12:16.1183936Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1108 <- wrt source file 2025-07-17T07:12:16.1186411Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-07-17T07:12:16.1190338Z * DOCTEST : /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1154 <- wrt source file 2025-07-17T07:12:16.1192815Z * SKIPPED: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-07-17T07:12:16.1194068Z ============ 2025-07-17T07:12:16.1194510Z Finished doctests 2025-07-17T07:12:16.1194861Z 342 / 719 passed 2025-07-17T07:12:16.1195229Z  2025-07-17T07:12:16.1195727Z === Found 136 parse-time warnings === 2025-07-17T07:12:16.1196465Z --- Parse Warning: 1 / 136 --- 2025-07-17T07:12:16.1198114Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Tensor.dim_order in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py line=1493. 2025-07-17T07:12:16.1200203Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1200938Z 2025-07-17T07:12:16.1201303Z dim_order(ambiguity_check=False) -> tuple 2025-07-17T07:12:16.1201771Z 2025-07-17T07:12:16.1202314Z Returns the uniquely determined tuple of int describing the dim order or 2025-07-17T07:12:16.1203090Z physical layout of :attr:`self`. 2025-07-17T07:12:16.1203560Z 2025-07-17T07:12:16.1204302Z The dim order represents how dimensions are laid out in memory of dense tensors, 2025-07-17T07:12:16.1205353Z starting from the outermost to the innermost dimension. 2025-07-17T07:12:16.1205971Z 2025-07-17T07:12:16.1206444Z Note that the dim order may not always be uniquely determined. 2025-07-17T07:12:16.1207604Z If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined; 2025-07-17T07:12:16.1209154Z If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted 2025-07-17T07:12:16.1210413Z into exactly one of the given memory formats, or it cannot be uniquely determined. 2025-07-17T07:12:16.1211610Z If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness. 2025-07-17T07:12:16.1212516Z Otherwise, it will raise TypeError. 2025-07-17T07:12:16.1212995Z 2025-07-17T07:12:16.1213302Z Args: 2025-07-17T07:12:16.1214020Z ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order. 2025-07-17T07:12:16.1214860Z 2025-07-17T07:12:16.1215173Z Examples:: 2025-07-17T07:12:16.1215509Z 2025-07-17T07:12:16.1215838Z >>> torch.empty((2, 3, 5, 7)).dim_order() 2025-07-17T07:12:16.1216323Z (0, 1, 2, 3) 2025-07-17T07:12:16.1216789Z >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order() 2025-07-17T07:12:16.1217357Z (0, 2, 1, 3) 2025-07-17T07:12:16.1217903Z >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order() 2025-07-17T07:12:16.1218592Z (0, 2, 3, 1) 2025-07-17T07:12:16.1218998Z >>> torch.empty((1, 2, 3, 4)).dim_order() 2025-07-17T07:12:16.1219543Z (0, 1, 2, 3) 2025-07-17T07:12:16.1219911Z >>> try: 2025-07-17T07:12:16.1220382Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True) 2025-07-17T07:12:16.1221010Z ... except RuntimeError as e: 2025-07-17T07:12:16.1221494Z ... print(e) 2025-07-17T07:12:16.1222242Z The tensor does not have unique dim order, or cannot map to exact one of the given memory formats. 2025-07-17T07:12:16.1223162Z >>> torch.empty((1, 2, 3, 4)).dim_order( 2025-07-17T07:12:16.1223839Z ... ambiguity_check=[torch.contiguous_format, torch.channels_last] 2025-07-17T07:12:16.1224531Z ... ) # It can be mapped to contiguous format 2025-07-17T07:12:16.1225071Z (0, 1, 2, 3) 2025-07-17T07:12:16.1225430Z >>> try: 2025-07-17T07:12:16.1226025Z ... torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL") 2025-07-17T07:12:16.1226671Z ... except TypeError as e: 2025-07-17T07:12:16.1227111Z ... print(e) 2025-07-17T07:12:16.1227802Z The ambiguity_check argument must be a bool or a list of memory formats. 2025-07-17T07:12:16.1228533Z 2025-07-17T07:12:16.1228855Z .. warning:: 2025-07-17T07:12:16.1229413Z The dim_order tensor API is experimental and subject to change. 2025-07-17T07:12:16.1230119Z 2025-07-17T07:12:16.1230794Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1231555Z 2025-07-17T07:12:16.1231927Z warnings.warn(msg) 2025-07-17T07:12:16.1232359Z 2025-07-17T07:12:16.1232912Z --- Parse Warning: 2 / 136 --- 2025-07-17T07:12:16.1234930Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=meshgrid in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=446. 2025-07-17T07:12:16.1237222Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1238320Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors. 2025-07-17T07:12:16.1239134Z 2025-07-17T07:12:16.1239661Z This is helpful when you want to visualize data over some 2025-07-17T07:12:16.1240409Z range of inputs. See below for a plotting example. 2025-07-17T07:12:16.1241096Z 2025-07-17T07:12:16.1241601Z Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as 2025-07-17T07:12:16.1242476Z inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`, 2025-07-17T07:12:16.1243310Z this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots 2025-07-17T07:12:16.1244162Z G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where 2025-07-17T07:12:16.1244940Z the output :math:`G_i` is constructed by expanding :math:`T_i` 2025-07-17T07:12:16.1245702Z to the result shape. 2025-07-17T07:12:16.1246198Z 2025-07-17T07:12:16.1246581Z .. note:: 2025-07-17T07:12:16.1247154Z 0D inputs are treated equivalently to 1D inputs of a 2025-07-17T07:12:16.1247608Z single element. 2025-07-17T07:12:16.1247870Z 2025-07-17T07:12:16.1248088Z .. warning:: 2025-07-17T07:12:16.1248438Z `torch.meshgrid(*tensors)` currently has the same behavior 2025-07-17T07:12:16.1249000Z as calling `numpy.meshgrid(*arrays, indexing='ij')`. 2025-07-17T07:12:16.1249573Z 2025-07-17T07:12:16.1249885Z In the future `torch.meshgrid` will transition to 2025-07-17T07:12:16.1250584Z `indexing='xy'` as the default. 2025-07-17T07:12:16.1251047Z 2025-07-17T07:12:16.1251503Z https://github.com/pytorch/pytorch/issues/50276 tracks 2025-07-17T07:12:16.1252145Z this issue with the goal of migrating to NumPy's behavior. 2025-07-17T07:12:16.1252630Z 2025-07-17T07:12:16.1252844Z .. seealso:: 2025-07-17T07:12:16.1253206Z 2025-07-17T07:12:16.1253554Z :func:`torch.cartesian_prod` has the same effect but it 2025-07-17T07:12:16.1253986Z collects the data in a tensor of vectors. 2025-07-17T07:12:16.1254393Z 2025-07-17T07:12:16.1254579Z Args: 2025-07-17T07:12:16.1254990Z tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be 2025-07-17T07:12:16.1255696Z treated as tensors of size :math:`(1,)` automatically 2025-07-17T07:12:16.1256154Z 2025-07-17T07:12:16.1256465Z indexing: (str, optional): the indexing mode, either "xy" 2025-07-17T07:12:16.1257086Z or "ij", defaults to "ij". See warning for future changes. 2025-07-17T07:12:16.1257607Z 2025-07-17T07:12:16.1257989Z If "xy" is selected, the first dimension corresponds 2025-07-17T07:12:16.1258652Z to the cardinality of the second input and the second 2025-07-17T07:12:16.1259182Z dimension corresponds to the cardinality of the first 2025-07-17T07:12:16.1259552Z input. 2025-07-17T07:12:16.1259799Z 2025-07-17T07:12:16.1260058Z If "ij" is selected, the dimensions are in the same 2025-07-17T07:12:16.1260459Z order as the cardinality of the inputs. 2025-07-17T07:12:16.1260782Z 2025-07-17T07:12:16.1261075Z Returns: 2025-07-17T07:12:16.1261391Z seq (sequence of Tensors): If the input has :math:`N` 2025-07-17T07:12:16.1261816Z tensors of size :math:`S_0 \ldots S_{N-1}``, then the 2025-07-17T07:12:16.1262275Z output will also have :math:`N` tensors, where each tensor 2025-07-17T07:12:16.1262698Z is of shape :math:`(S_0, ..., S_{N-1})`. 2025-07-17T07:12:16.1263060Z 2025-07-17T07:12:16.1263267Z Example:: 2025-07-17T07:12:16.1263501Z 2025-07-17T07:12:16.1263713Z >>> x = torch.tensor([1, 2, 3]) 2025-07-17T07:12:16.1264052Z >>> y = torch.tensor([4, 5, 6]) 2025-07-17T07:12:16.1264356Z 2025-07-17T07:12:16.1264654Z Observe the element-wise pairings across the grid, (1, 4), 2025-07-17T07:12:16.1265084Z (1, 5), ..., (3, 6). This is the same thing as the 2025-07-17T07:12:16.1265432Z cartesian product. 2025-07-17T07:12:16.1265854Z >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij') 2025-07-17T07:12:16.1266208Z >>> grid_x 2025-07-17T07:12:16.1266467Z tensor([[1, 1, 1], 2025-07-17T07:12:16.1266747Z [2, 2, 2], 2025-07-17T07:12:16.1267018Z [3, 3, 3]]) 2025-07-17T07:12:16.1267307Z >>> grid_y 2025-07-17T07:12:16.1267572Z tensor([[4, 5, 6], 2025-07-17T07:12:16.1267840Z [4, 5, 6], 2025-07-17T07:12:16.1268119Z [4, 5, 6]]) 2025-07-17T07:12:16.1268389Z 2025-07-17T07:12:16.1268666Z This correspondence can be seen when these grids are 2025-07-17T07:12:16.1269039Z stacked properly. 2025-07-17T07:12:16.1269565Z >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))), 2025-07-17T07:12:16.1270026Z ... torch.cartesian_prod(x, y)) 2025-07-17T07:12:16.1270351Z True 2025-07-17T07:12:16.1270580Z 2025-07-17T07:12:16.1270870Z `torch.meshgrid` is commonly used to produce a grid for 2025-07-17T07:12:16.1271248Z plotting. 2025-07-17T07:12:16.1271546Z >>> # xdoctest: +REQUIRES(module:matplotlib) 2025-07-17T07:12:16.1271928Z >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW) 2025-07-17T07:12:16.1272302Z >>> import matplotlib.pyplot as plt 2025-07-17T07:12:16.1272658Z >>> xs = torch.linspace(-5, 5, steps=100) 2025-07-17T07:12:16.1273021Z >>> ys = torch.linspace(-5, 5, steps=100) 2025-07-17T07:12:16.1273400Z >>> x, y = torch.meshgrid(xs, ys, indexing='xy') 2025-07-17T07:12:16.1273768Z >>> z = torch.sin(torch.sqrt(x * x + y * y)) 2025-07-17T07:12:16.1274133Z >>> ax = plt.axes(projection='3d') 2025-07-17T07:12:16.1274516Z >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy()) 2025-07-17T07:12:16.1274870Z >>> plt.show() 2025-07-17T07:12:16.1275128Z 2025-07-17T07:12:16.1275362Z .. image:: ../_static/img/meshgrid.png 2025-07-17T07:12:16.1275686Z :width: 512 2025-07-17T07:12:16.1275924Z 2025-07-17T07:12:16.1276119Z 2025-07-17T07:12:16.1276497Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1276941Z 2025-07-17T07:12:16.1277147Z warnings.warn(msg) 2025-07-17T07:12:16.1277506Z 2025-07-17T07:12:16.1277857Z --- Parse Warning: 3 / 136 --- 2025-07-17T07:12:16.1278953Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_unique_impl in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/functional.py line=842. 2025-07-17T07:12:16.1280177Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1280948Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor] 2025-07-17T07:12:16.1281523Z 2025-07-17T07:12:16.1281806Z Returns the unique elements of the input tensor. 2025-07-17T07:12:16.1282148Z 2025-07-17T07:12:16.1282539Z .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that 2025-07-17T07:12:16.1283158Z this function also eliminates non-consecutive duplicate values. 2025-07-17T07:12:16.1283624Z 2025-07-17T07:12:16.1283953Z .. note:: Currently in the CUDA implementation and the CPU implementation, 2025-07-17T07:12:16.1284598Z `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument. 2025-07-17T07:12:16.1285297Z Sorting could be slow, so if your input tensor is already sorted, it is recommended to use 2025-07-17T07:12:16.1285883Z :func:`torch.unique_consecutive` which avoids the sorting. 2025-07-17T07:12:16.1286250Z 2025-07-17T07:12:16.1286565Z Args: 2025-07-17T07:12:16.1286818Z input (Tensor): the input tensor 2025-07-17T07:12:16.1287245Z sorted (bool): Whether to sort the unique elements in ascending order 2025-07-17T07:12:16.1287698Z before returning as output. 2025-07-17T07:12:16.1288134Z return_inverse (bool): Whether to also return the indices for where 2025-07-17T07:12:16.1288695Z elements in the original input ended up in the returned unique list. 2025-07-17T07:12:16.1289253Z return_counts (bool): Whether to also return the counts for each unique 2025-07-17T07:12:16.1289690Z element. 2025-07-17T07:12:16.1290063Z dim (int, optional): the dimension to operate upon. If ``None``, the 2025-07-17T07:12:16.1290584Z unique of the flattened input is returned. Otherwise, each of the 2025-07-17T07:12:16.1291119Z tensors indexed by the given dimension is treated as one of the 2025-07-17T07:12:16.1291663Z elements to apply the unique operation upon. See examples for more 2025-07-17T07:12:16.1292112Z details. Default: ``None`` 2025-07-17T07:12:16.1292402Z 2025-07-17T07:12:16.1292608Z Returns: 2025-07-17T07:12:16.1293035Z (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing 2025-07-17T07:12:16.1293511Z 2025-07-17T07:12:16.1293818Z - **output** (*Tensor*): the output list of unique scalar elements. 2025-07-17T07:12:16.1294279Z - **inverse_indices** (*Tensor*): (optional) if 2025-07-17T07:12:16.1294705Z :attr:`return_inverse` is True, there will be an additional 2025-07-17T07:12:16.1295209Z returned tensor (same shape as input) representing the indices 2025-07-17T07:12:16.1295732Z for where elements in the original input map to in the output; 2025-07-17T07:12:16.1296236Z otherwise, this function will only return a single tensor. 2025-07-17T07:12:16.1296654Z - **counts** (*Tensor*): (optional) if 2025-07-17T07:12:16.1297060Z :attr:`return_counts` is True, there will be an additional 2025-07-17T07:12:16.1297538Z returned tensor (same shape as output or output.size(dim), 2025-07-17T07:12:16.1298026Z if dim was specified) representing the number of occurrences 2025-07-17T07:12:16.1298449Z for each unique value or tensor. 2025-07-17T07:12:16.1298793Z 2025-07-17T07:12:16.1299017Z Example:: 2025-07-17T07:12:16.1299399Z 2025-07-17T07:12:16.1299806Z >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long)) 2025-07-17T07:12:16.1300357Z >>> output 2025-07-17T07:12:16.1300601Z tensor([1, 2, 3]) 2025-07-17T07:12:16.1300861Z 2025-07-17T07:12:16.1301104Z >>> output, inverse_indices = torch.unique( 2025-07-17T07:12:16.1301581Z ... torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True) 2025-07-17T07:12:16.1302024Z >>> output 2025-07-17T07:12:16.1302270Z tensor([1, 2, 3]) 2025-07-17T07:12:16.1302530Z >>> inverse_indices 2025-07-17T07:12:16.1302868Z tensor([0, 2, 1, 2]) 2025-07-17T07:12:16.1303221Z 2025-07-17T07:12:16.1303451Z >>> output, inverse_indices = torch.unique( 2025-07-17T07:12:16.1304130Z ... torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True) 2025-07-17T07:12:16.1304573Z >>> output 2025-07-17T07:12:16.1304821Z tensor([1, 2, 3]) 2025-07-17T07:12:16.1305084Z >>> inverse_indices 2025-07-17T07:12:16.1305358Z tensor([[0, 2], 2025-07-17T07:12:16.1305617Z [1, 2]]) 2025-07-17T07:12:16.1305859Z 2025-07-17T07:12:16.1306068Z >>> a = torch.tensor([ 2025-07-17T07:12:16.1306348Z ... [ 2025-07-17T07:12:16.1306645Z ... [1, 1, 0, 0], 2025-07-17T07:12:16.1306934Z ... [1, 1, 0, 0], 2025-07-17T07:12:16.1307220Z ... [0, 0, 1, 1], 2025-07-17T07:12:16.1307485Z ... ], 2025-07-17T07:12:16.1307722Z ... [ 2025-07-17T07:12:16.1307963Z ... [0, 0, 1, 1], 2025-07-17T07:12:16.1308232Z ... [0, 0, 1, 1], 2025-07-17T07:12:16.1308516Z ... [1, 1, 1, 1], 2025-07-17T07:12:16.1308791Z ... ], 2025-07-17T07:12:16.1309023Z ... [ 2025-07-17T07:12:16.1309247Z ... [1, 1, 0, 0], 2025-07-17T07:12:16.1309530Z ... [1, 1, 0, 0], 2025-07-17T07:12:16.1309814Z ... [0, 0, 1, 1], 2025-07-17T07:12:16.1310079Z ... ], 2025-07-17T07:12:16.1310311Z ... ]) 2025-07-17T07:12:16.1310531Z 2025-07-17T07:12:16.1310847Z >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]` 2025-07-17T07:12:16.1311384Z >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match 2025-07-17T07:12:16.1311844Z >>> # each other, so one of them will be removed. 2025-07-17T07:12:16.1312188Z >>> (a[0, :, :] == a[2, :, :]).all() 2025-07-17T07:12:16.1312497Z tensor(True) 2025-07-17T07:12:16.1312783Z >>> a_unique_dim0 = torch.unique(a, dim=0) 2025-07-17T07:12:16.1313117Z >>> a_unique_dim0 2025-07-17T07:12:16.1313382Z tensor([[[0, 0, 1, 1], 2025-07-17T07:12:16.1313664Z [0, 0, 1, 1], 2025-07-17T07:12:16.1313940Z [1, 1, 1, 1]], 2025-07-17T07:12:16.1314212Z [[1, 1, 0, 0], 2025-07-17T07:12:16.1314487Z [1, 1, 0, 0], 2025-07-17T07:12:16.1314760Z [0, 0, 1, 1]]]) 2025-07-17T07:12:16.1315025Z 2025-07-17T07:12:16.1315358Z >>> # Notice which sub-tensors from `a` match with the sub-tensors from 2025-07-17T07:12:16.1315795Z >>> # `a_unique_dim0`: 2025-07-17T07:12:16.1316100Z >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all() 2025-07-17T07:12:16.1316430Z tensor(True) 2025-07-17T07:12:16.1316717Z >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all() 2025-07-17T07:12:16.1317045Z tensor(True) 2025-07-17T07:12:16.1317272Z 2025-07-17T07:12:16.1317586Z >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are 2025-07-17T07:12:16.1318134Z >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of 2025-07-17T07:12:16.1318531Z >>> # them will be removed. 2025-07-17T07:12:16.1318863Z >>> (a[:, 0, :] == a[:, 1, :]).all() 2025-07-17T07:12:16.1319172Z tensor(True) 2025-07-17T07:12:16.1319430Z >>> torch.unique(a, dim=1) 2025-07-17T07:12:16.1319738Z tensor([[[0, 0, 1, 1], 2025-07-17T07:12:16.1320020Z [1, 1, 0, 0]], 2025-07-17T07:12:16.1320297Z [[1, 1, 1, 1], 2025-07-17T07:12:16.1320577Z [0, 0, 1, 1]], 2025-07-17T07:12:16.1320854Z [[0, 0, 1, 1], 2025-07-17T07:12:16.1321128Z [1, 1, 0, 0]]]) 2025-07-17T07:12:16.1321388Z 2025-07-17T07:12:16.1321703Z >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared. 2025-07-17T07:12:16.1322221Z >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and 2025-07-17T07:12:16.1322662Z >>> # `a[:, :, 3]` match each other as well. So in this case, two of the 2025-07-17T07:12:16.1323069Z >>> # sub-tensors will be removed. 2025-07-17T07:12:16.1323398Z >>> (a[:, :, 0] == a[:, :, 1]).all() 2025-07-17T07:12:16.1323692Z tensor(True) 2025-07-17T07:12:16.1323958Z >>> (a[:, :, 2] == a[:, :, 3]).all() 2025-07-17T07:12:16.1324263Z tensor(True) 2025-07-17T07:12:16.1324603Z >>> torch.unique(a, dim=2) 2025-07-17T07:12:16.1324896Z tensor([[[0, 1], 2025-07-17T07:12:16.1325160Z [0, 1], 2025-07-17T07:12:16.1325417Z [1, 0]], 2025-07-17T07:12:16.1325663Z [[1, 0], 2025-07-17T07:12:16.1325920Z [1, 0], 2025-07-17T07:12:16.1326178Z [1, 1]], 2025-07-17T07:12:16.1326426Z [[0, 1], 2025-07-17T07:12:16.1326683Z [0, 1], 2025-07-17T07:12:16.1326942Z [1, 0]]]) 2025-07-17T07:12:16.1327186Z 2025-07-17T07:12:16.1327557Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1328010Z 2025-07-17T07:12:16.1328204Z warnings.warn(msg) 2025-07-17T07:12:16.1328453Z 2025-07-17T07:12:16.1328804Z --- Parse Warning: 4 / 136 --- 2025-07-17T07:12:16.1329844Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=560. 2025-07-17T07:12:16.1330995Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1331461Z 2025-07-17T07:12:16.1331734Z Load a model from a github repo or a local directory. 2025-07-17T07:12:16.1332072Z 2025-07-17T07:12:16.1332414Z Note: Loading a model is the typical use case, but this can also be used to 2025-07-17T07:12:16.1332980Z for loading other objects such as tokenizers, loss functions, etc. 2025-07-17T07:12:16.1333375Z 2025-07-17T07:12:16.1333652Z If ``source`` is 'github', ``repo_or_dir`` is expected to be 2025-07-17T07:12:16.1334105Z of the form ``repo_owner/repo_name[:ref]`` with an optional 2025-07-17T07:12:16.1334487Z ref (a tag or a branch). 2025-07-17T07:12:16.1334737Z 2025-07-17T07:12:16.1335014Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a 2025-07-17T07:12:16.1335406Z path to a local directory. 2025-07-17T07:12:16.1335665Z 2025-07-17T07:12:16.1335864Z Args: 2025-07-17T07:12:16.1336118Z repo_or_dir (str): If ``source`` is 'github', 2025-07-17T07:12:16.1336639Z this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with 2025-07-17T07:12:16.1337348Z an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified, 2025-07-17T07:12:16.1338075Z the default branch is assumed to be ``main`` if it exists, and otherwise ``master``. 2025-07-17T07:12:16.1338661Z If ``source`` is 'local' then it should be a path to a local directory. 2025-07-17T07:12:16.1339251Z model (str): the name of a callable (entrypoint) defined in the 2025-07-17T07:12:16.1339673Z repo/dir's ``hubconf.py``. 2025-07-17T07:12:16.1340089Z *args (optional): the corresponding args for callable ``model``. 2025-07-17T07:12:16.1340578Z source (str, optional): 'github' or 'local'. Specifies how 2025-07-17T07:12:16.1341041Z ``repo_or_dir`` is to be interpreted. Default is 'github'. 2025-07-17T07:12:16.1341537Z trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``. 2025-07-17T07:12:16.1342101Z This parameter was introduced in v1.12 and helps ensuring that users 2025-07-17T07:12:16.1342563Z only run code from repos that they trust. 2025-07-17T07:12:16.1342921Z 2025-07-17T07:12:16.1343229Z - If ``False``, a prompt will ask the user whether the repo should 2025-07-17T07:12:16.1343622Z be trusted. 2025-07-17T07:12:16.1343977Z - If ``True``, the repo will be added to the trusted list and loaded 2025-07-17T07:12:16.1344425Z without requiring explicit confirmation. 2025-07-17T07:12:16.1344841Z - If ``"check"``, the repo will be checked against the list of 2025-07-17T07:12:16.1345396Z trusted repos in the cache. If it is not present in that list, the 2025-07-17T07:12:16.1345918Z behaviour will fall back onto the ``trust_repo=False`` option. 2025-07-17T07:12:16.1346416Z - If ``None``: this will raise a warning, inviting the user to set 2025-07-17T07:12:16.1346890Z ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This 2025-07-17T07:12:16.1347406Z is only present for backward compatibility and will be removed in 2025-07-17T07:12:16.1347823Z v2.0. 2025-07-17T07:12:16.1348030Z 2025-07-17T07:12:16.1348349Z Default is ``None`` and will eventually change to ``"check"`` in v2.0. 2025-07-17T07:12:16.1348886Z force_reload (bool, optional): whether to force a fresh download of 2025-07-17T07:12:16.1349405Z the github repo unconditionally. Does not have any effect if 2025-07-17T07:12:16.1349829Z ``source = 'local'``. Default is ``False``. 2025-07-17T07:12:16.1350276Z verbose (bool, optional): If ``False``, mute messages about hitting 2025-07-17T07:12:16.1350807Z local caches. Note that the message about first download cannot be 2025-07-17T07:12:16.1351293Z muted. Does not have any effect if ``source = 'local'``. 2025-07-17T07:12:16.1351681Z Default is ``True``. 2025-07-17T07:12:16.1352170Z skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit 2025-07-17T07:12:16.1352874Z specified by the ``github`` argument properly belongs to the repo owner. This will make 2025-07-17T07:12:16.1353539Z requests to the GitHub API; you can specify a non-default GitHub token by setting the 2025-07-17T07:12:16.1354112Z ``GITHUB_TOKEN`` environment variable. Default is ``False``. 2025-07-17T07:12:16.1354626Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2025-07-17T07:12:16.1355030Z 2025-07-17T07:12:16.1355227Z Returns: 2025-07-17T07:12:16.1355545Z The output of the ``model`` callable when called with the given 2025-07-17T07:12:16.1355952Z ``*args`` and ``**kwargs``. 2025-07-17T07:12:16.1356220Z 2025-07-17T07:12:16.1356412Z Example: 2025-07-17T07:12:16.1356675Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-07-17T07:12:16.1357012Z >>> # from a github repo 2025-07-17T07:12:16.1357309Z >>> repo = "pytorch/vision" 2025-07-17T07:12:16.1357621Z >>> model = torch.hub.load( 2025-07-17T07:12:16.1358032Z ... repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1" 2025-07-17T07:12:16.1358421Z ... ) 2025-07-17T07:12:16.1358654Z >>> # from a local directory 2025-07-17T07:12:16.1358981Z >>> path = "/some/local/path/pytorch/vision" 2025-07-17T07:12:16.1359327Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.1359757Z >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT") 2025-07-17T07:12:16.1360209Z 2025-07-17T07:12:16.1360576Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1361036Z 2025-07-17T07:12:16.1361251Z warnings.warn(msg) 2025-07-17T07:12:16.1361489Z 2025-07-17T07:12:16.1361815Z --- Parse Warning: 5 / 136 --- 2025-07-17T07:12:16.1362872Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_load_local in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=652. 2025-07-17T07:12:16.1364086Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1364549Z 2025-07-17T07:12:16.1364844Z Load a model from a local directory with a ``hubconf.py``. 2025-07-17T07:12:16.1365211Z 2025-07-17T07:12:16.1365391Z Args: 2025-07-17T07:12:16.1365699Z hubconf_dir (str): path to a local directory that contains a 2025-07-17T07:12:16.1366097Z ``hubconf.py``. 2025-07-17T07:12:16.1366501Z model (str): name of an entrypoint defined in the directory's 2025-07-17T07:12:16.1366900Z ``hubconf.py``. 2025-07-17T07:12:16.1367271Z *args (optional): the corresponding args for callable ``model``. 2025-07-17T07:12:16.1367788Z **kwargs (optional): the corresponding kwargs for callable ``model``. 2025-07-17T07:12:16.1368205Z 2025-07-17T07:12:16.1368398Z Returns: 2025-07-17T07:12:16.1368681Z a single model with corresponding pretrained weights. 2025-07-17T07:12:16.1369045Z 2025-07-17T07:12:16.1369248Z Example: 2025-07-17T07:12:16.1369658Z >>> # xdoctest: +SKIP("stub local path") 2025-07-17T07:12:16.1370023Z >>> path = "/some/local/path/pytorch/vision" 2025-07-17T07:12:16.1370366Z >>> model = _load_local( 2025-07-17T07:12:16.1370644Z ... path, 2025-07-17T07:12:16.1370877Z ... "resnet50", 2025-07-17T07:12:16.1371197Z ... weights="ResNet50_Weights.IMAGENET1K_V1", 2025-07-17T07:12:16.1371533Z ... ) 2025-07-17T07:12:16.1371734Z 2025-07-17T07:12:16.1372099Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1372552Z 2025-07-17T07:12:16.1372747Z warnings.warn(msg) 2025-07-17T07:12:16.1373000Z 2025-07-17T07:12:16.1373311Z --- Parse Warning: 6 / 136 --- 2025-07-17T07:12:16.1374391Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=download_url_to_file in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=691. 2025-07-17T07:12:16.1375622Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1376158Z Download object at the given URL to a local path. 2025-07-17T07:12:16.1376500Z 2025-07-17T07:12:16.1376683Z Args: 2025-07-17T07:12:16.1376941Z url (str): URL of the object to download 2025-07-17T07:12:16.1377415Z dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file`` 2025-07-17T07:12:16.1378093Z hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``. 2025-07-17T07:12:16.1378647Z Default: None 2025-07-17T07:12:16.1379149Z progress (bool, optional): whether or not to display a progress bar to stderr 2025-07-17T07:12:16.1379627Z Default: True 2025-07-17T07:12:16.1379878Z 2025-07-17T07:12:16.1380081Z Example: 2025-07-17T07:12:16.1380444Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-07-17T07:12:16.1380796Z >>> # xdoctest: +REQUIRES(POSIX) 2025-07-17T07:12:16.1381143Z >>> torch.hub.download_url_to_file( 2025-07-17T07:12:16.1381611Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth", 2025-07-17T07:12:16.1382047Z ... "/tmp/temporary_file", 2025-07-17T07:12:16.1382352Z ... ) 2025-07-17T07:12:16.1382571Z 2025-07-17T07:12:16.1382758Z 2025-07-17T07:12:16.1383124Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1383575Z 2025-07-17T07:12:16.1383781Z warnings.warn(msg) 2025-07-17T07:12:16.1384017Z 2025-07-17T07:12:16.1384329Z --- Parse Warning: 7 / 136 --- 2025-07-17T07:12:16.1385424Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_state_dict_from_url in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/hub.py line=816. 2025-07-17T07:12:16.1386714Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1387249Z Loads the Torch serialized object at the given URL. 2025-07-17T07:12:16.1387595Z 2025-07-17T07:12:16.1387890Z If downloaded file is a zip file, it will be automatically 2025-07-17T07:12:16.1388266Z decompressed. 2025-07-17T07:12:16.1388506Z 2025-07-17T07:12:16.1388908Z If the object is already present in `model_dir`, it's deserialized and 2025-07-17T07:12:16.1389324Z returned. 2025-07-17T07:12:16.1389678Z The default value of ``model_dir`` is ``/checkpoints`` where 2025-07-17T07:12:16.1390208Z ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`. 2025-07-17T07:12:16.1390594Z 2025-07-17T07:12:16.1390797Z Args: 2025-07-17T07:12:16.1391059Z url (str): URL of the object to download 2025-07-17T07:12:16.1391488Z model_dir (str, optional): directory in which to save the object 2025-07-17T07:12:16.1392154Z map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load) 2025-07-17T07:12:16.1392879Z progress (bool, optional): whether or not to display a progress bar to stderr. 2025-07-17T07:12:16.1393353Z Default: True 2025-07-17T07:12:16.1393847Z check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention 2025-07-17T07:12:16.1394508Z ``filename-.ext`` where ```` is the first eight or more 2025-07-17T07:12:16.1395079Z digits of the SHA256 hash of the contents of the file. The hash is used to 2025-07-17T07:12:16.1395616Z ensure unique names and to verify the contents of the file. 2025-07-17T07:12:16.1396023Z Default: False 2025-07-17T07:12:16.1396540Z file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set. 2025-07-17T07:12:16.1397322Z weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects. 2025-07-17T07:12:16.1398013Z Recommended for untrusted sources. See :func:`~torch.load` for more details. 2025-07-17T07:12:16.1398480Z 2025-07-17T07:12:16.1398684Z Example: 2025-07-17T07:12:16.1398952Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB) 2025-07-17T07:12:16.1399358Z >>> state_dict = torch.hub.load_state_dict_from_url( 2025-07-17T07:12:16.1399850Z ... "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth" 2025-07-17T07:12:16.1400279Z ... ) 2025-07-17T07:12:16.1400492Z 2025-07-17T07:12:16.1400696Z 2025-07-17T07:12:16.1401074Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1401522Z 2025-07-17T07:12:16.1401775Z warnings.warn(msg) 2025-07-17T07:12:16.1402035Z 2025-07-17T07:12:16.1402328Z --- Parse Warning: 8 / 136 --- 2025-07-17T07:12:16.1403433Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=374. 2025-07-17T07:12:16.1404649Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:16.1405267Z Registers the function implementation as the fallback for the given key. 2025-07-17T07:12:16.1405695Z 2025-07-17T07:12:16.1406028Z This function only works for a library with global namespace ("_"). 2025-07-17T07:12:16.1406445Z 2025-07-17T07:12:16.1406627Z Args: 2025-07-17T07:12:16.1407044Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-07-17T07:12:16.1407590Z to register a fallthrough. 2025-07-17T07:12:16.1408141Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-07-17T07:12:16.1408737Z the dispatch key that the library was created with. 2025-07-17T07:12:16.1409393Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-07-17T07:12:16.1410266Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-07-17T07:12:16.1410778Z 2025-07-17T07:12:16.1410991Z Example:: 2025-07-17T07:12:16.1411226Z 2025-07-17T07:12:16.1411438Z >>> my_lib = Library("_", "IMPL") 2025-07-17T07:12:16.1411797Z >>> def fallback_kernel(op, *args, **kwargs): 2025-07-17T07:12:16.1412184Z >>> # Handle all autocast ops generically 2025-07-17T07:12:16.1412522Z >>> # ... 2025-07-17T07:12:16.1412835Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-07-17T07:12:16.1413179Z 2025-07-17T07:12:16.1413934Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-07-17T07:12:16.1414744Z 2025-07-17T07:12:16.1414988Z my_lib.fallback(fallback_kernel, "Autocast") 2025-07-17T07:12:16.1415316Z ^ 2025-07-17T07:12:16.1415519Z warnings.warn(msg) 2025-07-17T07:12:16.1415766Z 2025-07-17T07:12:16.1416068Z --- Parse Warning: 9 / 136 --- 2025-07-17T07:12:16.1417146Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=933. 2025-07-17T07:12:16.1418331Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:16.1418937Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-07-17T07:12:16.1419455Z 2025-07-17T07:12:16.1419738Z Also sometimes known as a "meta kernel", "abstract impl". 2025-07-17T07:12:16.1420121Z 2025-07-17T07:12:16.1420484Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-07-17T07:12:16.1421072Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-07-17T07:12:16.1421644Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-07-17T07:12:16.1422145Z what the properties of the output Tensors are. 2025-07-17T07:12:16.1422483Z 2025-07-17T07:12:16.1422813Z The FakeTensor implementation has the same signature as the operator. 2025-07-17T07:12:16.1423372Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-07-17T07:12:16.1423916Z implementation, assume that all Tensor inputs to the operator are 2025-07-17T07:12:16.1424509Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-07-17T07:12:16.1425022Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-07-17T07:12:16.1425580Z The FakeTensor implementation must consist of only PyTorch operations 2025-07-17T07:12:16.1426125Z (and may not directly access the storage or data of any input or 2025-07-17T07:12:16.1426527Z intermediate Tensors). 2025-07-17T07:12:16.1426798Z 2025-07-17T07:12:16.1427069Z This API may be used as a decorator (see examples). 2025-07-17T07:12:16.1427407Z 2025-07-17T07:12:16.1427660Z For a detailed guide on custom ops, please see 2025-07-17T07:12:16.1428148Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-07-17T07:12:16.1428579Z 2025-07-17T07:12:16.1428759Z Args: 2025-07-17T07:12:16.1429111Z op_name: Operator name (along with the overload) or OpOverload object. 2025-07-17T07:12:16.1429608Z func: Fake tensor implementation. 2025-07-17T07:12:16.1430020Z lib (Optional[Library]): Library to register the fake tensor to. 2025-07-17T07:12:16.1430526Z allow_override: Flag controlling if we want to override an 2025-07-17T07:12:16.1431000Z existing registered fake impl. This is by default off, 2025-07-17T07:12:16.1431463Z and will error you're trying to register a fake impl to 2025-07-17T07:12:16.1432006Z an operator that already has a fake impl. This also only 2025-07-17T07:12:16.1432465Z applies if the custom operator was not created via 2025-07-17T07:12:16.1432939Z torch.library.custom_op, as overriding and existing fake 2025-07-17T07:12:16.1433356Z impl is already allowed. 2025-07-17T07:12:16.1433666Z 2025-07-17T07:12:16.1433866Z Examples: 2025-07-17T07:12:16.1434092Z >>> import torch 2025-07-17T07:12:16.1434369Z >>> import numpy as np 2025-07-17T07:12:16.1434707Z >>> from torch import Tensor 2025-07-17T07:12:16.1434993Z >>> 2025-07-17T07:12:16.1435313Z >>> # Example 1: an operator without data-dependent output shape 2025-07-17T07:12:16.1435841Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-07-17T07:12:16.1436395Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-07-17T07:12:16.1436907Z >>> raise NotImplementedError("Implementation goes here") 2025-07-17T07:12:16.1437289Z >>> 2025-07-17T07:12:16.1437592Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-07-17T07:12:16.1437963Z >>> def _(x, weight, bias): 2025-07-17T07:12:16.1438276Z >>> assert x.dim() == 2 2025-07-17T07:12:16.1438601Z >>> assert weight.dim() == 2 2025-07-17T07:12:16.1438935Z >>> assert bias.dim() == 1 2025-07-17T07:12:16.1439266Z >>> assert x.shape[1] == weight.shape[1] 2025-07-17T07:12:16.1439642Z >>> assert weight.shape[0] == bias.shape[0] 2025-07-17T07:12:16.1440015Z >>> assert x.device == weight.device 2025-07-17T07:12:16.1440322Z >>> 2025-07-17T07:12:16.1440572Z >>> return (x @ weight.t()) + bias 2025-07-17T07:12:16.1440887Z >>> 2025-07-17T07:12:16.1441185Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-07-17T07:12:16.1441585Z >>> x = torch.randn(2, 3) 2025-07-17T07:12:16.1441908Z >>> w = torch.randn(3, 3) 2025-07-17T07:12:16.1478244Z >>> b = torch.randn(3) 2025-07-17T07:12:16.1478617Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-07-17T07:12:16.1478971Z >>> 2025-07-17T07:12:16.1479217Z >>> assert y.shape == (2, 3) 2025-07-17T07:12:16.1479522Z >>> 2025-07-17T07:12:16.1479988Z >>> # Example 2: an operator with data-dependent output shape 2025-07-17T07:12:16.1480524Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-07-17T07:12:16.1480986Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-07-17T07:12:16.1481336Z >>> x_np = x.numpy(force=True) 2025-07-17T07:12:16.1481692Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-07-17T07:12:16.1482088Z >>> return torch.tensor(res, device=x.device) 2025-07-17T07:12:16.1482411Z >>> 2025-07-17T07:12:16.1482722Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-07-17T07:12:16.1483104Z >>> def _(x): 2025-07-17T07:12:16.1483407Z >>> # Number of nonzero-elements is data-dependent. 2025-07-17T07:12:16.1483827Z >>> # Since we cannot peek at the data in an fake impl, 2025-07-17T07:12:16.1484309Z >>> # we use the ctx object to construct a new symint that 2025-07-17T07:12:16.1484721Z >>> # represents the data-dependent size. 2025-07-17T07:12:16.1485069Z >>> ctx = torch.library.get_ctx() 2025-07-17T07:12:16.1485421Z >>> nnz = ctx.new_dynamic_size() 2025-07-17T07:12:16.1485756Z >>> shape = [nnz, x.dim()] 2025-07-17T07:12:16.1486108Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-07-17T07:12:16.1486474Z >>> return result 2025-07-17T07:12:16.1486748Z >>> 2025-07-17T07:12:16.1487131Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-07-17T07:12:16.1487514Z >>> 2025-07-17T07:12:16.1487764Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-07-17T07:12:16.1488223Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-07-17T07:12:16.1488702Z >>> trace.print_readable() 2025-07-17T07:12:16.1489000Z >>> 2025-07-17T07:12:16.1489356Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-07-17T07:12:16.1489767Z 2025-07-17T07:12:16.1489960Z 2025-07-17T07:12:16.1490603Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-07-17T07:12:16.1491318Z 2025-07-17T07:12:16.1491515Z _._ = None 2025-07-17T07:12:16.1491732Z ^ 2025-07-17T07:12:16.1491935Z warnings.warn(msg) 2025-07-17T07:12:16.1492192Z 2025-07-17T07:12:16.1492573Z --- Parse Warning: 10 / 136 --- 2025-07-17T07:12:16.1493693Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_autograd in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1068. 2025-07-17T07:12:16.1494919Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1495459Z Register a backward formula for this custom op. 2025-07-17T07:12:16.1495803Z 2025-07-17T07:12:16.1496108Z In order for an operator to work with autograd, you need to register 2025-07-17T07:12:16.1496534Z a backward formula: 2025-07-17T07:12:16.1496914Z 1. You must tell us how to compute gradients during the backward pass 2025-07-17T07:12:16.1497345Z by providing us a "backward" function. 2025-07-17T07:12:16.1497789Z 2. If you need any values from the forward to compute gradients, you can 2025-07-17T07:12:16.1498271Z use `setup_context` to save values for backward. 2025-07-17T07:12:16.1498611Z 2025-07-17T07:12:16.1498937Z ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``: 2025-07-17T07:12:16.1499568Z - ``grads`` is one or more gradients. The number of gradients matches 2025-07-17T07:12:16.1500010Z the number of outputs of the operator. 2025-07-17T07:12:16.1500454Z The ``ctx`` object is `the same ctx object `_ used by 2025-07-17T07:12:16.1501105Z :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the 2025-07-17T07:12:16.1501632Z same as :meth:`torch.autograd.Function.backward`. 2025-07-17T07:12:16.1501985Z 2025-07-17T07:12:16.1502302Z ``setup_context(ctx, inputs, output)`` runs during the forward pass. 2025-07-17T07:12:16.1502868Z Please save quantities needed for backward onto the ``ctx`` object via 2025-07-17T07:12:16.1503457Z either :meth:`torch.autograd.function.FunctionCtx.save_for_backward` 2025-07-17T07:12:16.1503998Z or assigning them as attributes of ``ctx``. If your custom op has 2025-07-17T07:12:16.1504530Z kwarg-only arguments, we expect the signature of ``setup_context`` 2025-07-17T07:12:16.1505055Z to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``. 2025-07-17T07:12:16.1505456Z 2025-07-17T07:12:16.1505805Z Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is, 2025-07-17T07:12:16.1506369Z they may not directly access :meth:`torch.Tensor.data_ptr` and they must 2025-07-17T07:12:16.1506950Z not depend on or mutate global state. If you need a non-traceable backward, 2025-07-17T07:12:16.1507520Z you can make it a separate custom_op that you call inside ``backward_fn``. 2025-07-17T07:12:16.1507945Z 2025-07-17T07:12:16.1508276Z If you need different autograd behavior on different devices, then we 2025-07-17T07:12:16.1509376Z recommend creating two different custom operators, one for each device 2025-07-17T07:12:16.1509939Z that needs different behavior, and switching between them at runtime. 2025-07-17T07:12:16.1510360Z 2025-07-17T07:12:16.1510563Z Examples: 2025-07-17T07:12:16.1510795Z >>> import torch 2025-07-17T07:12:16.1511076Z >>> import numpy as np 2025-07-17T07:12:16.1511387Z >>> from torch import Tensor 2025-07-17T07:12:16.1511677Z >>> 2025-07-17T07:12:16.1512012Z >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=()) 2025-07-17T07:12:16.1512455Z >>> def numpy_sin(x: Tensor) -> Tensor: 2025-07-17T07:12:16.1512787Z >>> x_np = x.cpu().numpy() 2025-07-17T07:12:16.1513104Z >>> y_np = np.sin(x_np) 2025-07-17T07:12:16.1513488Z >>> return torch.from_numpy(y_np).to(device=x.device) 2025-07-17T07:12:16.1514005Z >>> 2025-07-17T07:12:16.1514291Z >>> def setup_context(ctx, inputs, output) -> Tensor: 2025-07-17T07:12:16.1514659Z >>> x, = inputs 2025-07-17T07:12:16.1514951Z >>> ctx.save_for_backward(x) 2025-07-17T07:12:16.1515242Z >>> 2025-07-17T07:12:16.1515483Z >>> def backward(ctx, grad): 2025-07-17T07:12:16.1515802Z >>> x, = ctx.saved_tensors 2025-07-17T07:12:16.1516105Z >>> return grad * x.cos() 2025-07-17T07:12:16.1516402Z >>> 2025-07-17T07:12:16.1516742Z >>> torch.library.register_autograd( 2025-07-17T07:12:16.1517147Z ... "mylib::numpy_sin", backward, setup_context=setup_context 2025-07-17T07:12:16.1517528Z ... ) 2025-07-17T07:12:16.1517750Z >>> 2025-07-17T07:12:16.1518011Z >>> x = torch.randn(3, requires_grad=True) 2025-07-17T07:12:16.1518338Z >>> y = numpy_sin(x) 2025-07-17T07:12:16.1518698Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2025-07-17T07:12:16.1519135Z >>> assert torch.allclose(grad_x, x.cos()) 2025-07-17T07:12:16.1519444Z >>> 2025-07-17T07:12:16.1519694Z >>> # Example with a keyword-only arg 2025-07-17T07:12:16.1520129Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2025-07-17T07:12:16.1520593Z >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor: 2025-07-17T07:12:16.1520973Z >>> x_np = x.cpu().numpy() 2025-07-17T07:12:16.1521339Z >>> y_np = x_np * val 2025-07-17T07:12:16.1521697Z >>> return torch.from_numpy(y_np).to(device=x.device) 2025-07-17T07:12:16.1522043Z >>> 2025-07-17T07:12:16.1522403Z >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor: 2025-07-17T07:12:16.1522854Z >>> ctx.val = keyword_only_inputs["val"] 2025-07-17T07:12:16.1523158Z >>> 2025-07-17T07:12:16.1523389Z >>> def backward(ctx, grad): 2025-07-17T07:12:16.1523702Z >>> return grad * ctx.val 2025-07-17T07:12:16.1523981Z >>> 2025-07-17T07:12:16.1524218Z >>> torch.library.register_autograd( 2025-07-17T07:12:16.1524626Z ... "mylib::numpy_mul", backward, setup_context=setup_context 2025-07-17T07:12:16.1524992Z ... ) 2025-07-17T07:12:16.1525209Z >>> 2025-07-17T07:12:16.1525459Z >>> x = torch.randn(3, requires_grad=True) 2025-07-17T07:12:16.1525823Z >>> y = numpy_mul(x, val=3.14) 2025-07-17T07:12:16.1526201Z >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y)) 2025-07-17T07:12:16.1526657Z >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14)) 2025-07-17T07:12:16.1527018Z 2025-07-17T07:12:16.1527210Z 2025-07-17T07:12:16.1527564Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1527998Z 2025-07-17T07:12:16.1528189Z warnings.warn(msg) 2025-07-17T07:12:16.1528430Z 2025-07-17T07:12:16.1528845Z --- Parse Warning: 11 / 136 --- 2025-07-17T07:12:16.1529909Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=opcheck in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py line=1482. 2025-07-17T07:12:16.1531102Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1531705Z Given an operator and some sample arguments, tests if the operator is 2025-07-17T07:12:16.1532137Z registered correctly. 2025-07-17T07:12:16.1532392Z 2025-07-17T07:12:16.1532713Z That is, when you use the torch.library/TORCH_LIBRARY APIs to create a 2025-07-17T07:12:16.1533284Z custom op, you specified metadata (e.g. mutability info) about the custom op 2025-07-17T07:12:16.1533867Z and these APIs require that the functions you pass them satisfy certain 2025-07-17T07:12:16.1534446Z properties (e.g. no data pointer access in the fake/meta/abstract kernel) 2025-07-17T07:12:16.1534940Z ``opcheck`` tests these metadata and properties. 2025-07-17T07:12:16.1535268Z 2025-07-17T07:12:16.1535492Z Concretely, we test the following: 2025-07-17T07:12:16.1535791Z 2025-07-17T07:12:16.1536066Z - test_schema: If the schema matches the implementation of 2025-07-17T07:12:16.1536580Z the operator. For example: if the schema specifies a Tensor is mutated, 2025-07-17T07:12:16.1537130Z then we check the implementation mutates the Tensor. If the schema 2025-07-17T07:12:16.1537643Z specifies that we return a new Tensor, then we check that the 2025-07-17T07:12:16.1538158Z implementation returns a new Tensor (instead of an existing one or 2025-07-17T07:12:16.1538601Z a view of an existing one). 2025-07-17T07:12:16.1539003Z - test_autograd_registration: If the operator supports training 2025-07-17T07:12:16.1539600Z (autograd): we check that its autograd formula is registered via 2025-07-17T07:12:16.1540131Z torch.library.register_autograd or a manual registration to one 2025-07-17T07:12:16.1540673Z or more DispatchKey::Autograd keys. Any other DispatchKey-based 2025-07-17T07:12:16.1541136Z registrations may lead to undefined behavior. 2025-07-17T07:12:16.1541563Z - test_faketensor: If the operator has a FakeTensor kernel 2025-07-17T07:12:16.1542040Z (and if it is correct). The FakeTensor kernel is necessary ( 2025-07-17T07:12:16.1542584Z but not sufficient) for the operator to work with PyTorch compilation 2025-07-17T07:12:16.1543134Z APIs (torch.compile/export/FX). We check that a FakeTensor kernel 2025-07-17T07:12:16.1543647Z (also sometimes known as a meta kernel) was registered for the 2025-07-17T07:12:16.1544153Z operator and that it is correct. This test takes the result of 2025-07-17T07:12:16.1544651Z running the operator on real tensors and the result of running 2025-07-17T07:12:16.1545137Z the operator on FakeTensors and checks that they have the same 2025-07-17T07:12:16.1545598Z Tensor metadata (sizes/strides/dtype/device/etc). 2025-07-17T07:12:16.1546056Z - test_aot_dispatch_dynamic: If the operator has correct behavior 2025-07-17T07:12:16.1546539Z with PyTorch compilation APIs (torch.compile/export/FX). 2025-07-17T07:12:16.1547055Z This checks that the outputs (and gradients, if applicable) are the 2025-07-17T07:12:16.1547531Z same under eager-mode PyTorch and torch.compile. 2025-07-17T07:12:16.1547977Z This test is a superset of ``test_faketensor`` and is an e2e test; 2025-07-17T07:12:16.1548425Z other things it tests are that the operator supports 2025-07-17T07:12:16.1548913Z functionalization and that the backward pass (if it exists) also 2025-07-17T07:12:16.1549376Z supports FakeTensor and functionalization. 2025-07-17T07:12:16.1549684Z 2025-07-17T07:12:16.1550042Z For best results, please call ``opcheck`` multiple times with a 2025-07-17T07:12:16.1550532Z representative set of inputs. If your operator supports 2025-07-17T07:12:16.1551056Z autograd, please use ``opcheck`` with inputs with ``requires_grad = True``; 2025-07-17T07:12:16.1551612Z if your operator supports multiple devices (e.g. CPU and CUDA), please 2025-07-17T07:12:16.1552106Z use ``opcheck`` with inputs on all supported devices. 2025-07-17T07:12:16.1552447Z 2025-07-17T07:12:16.1552624Z Args: 2025-07-17T07:12:16.1552923Z op: The operator. Must either be a function decorated with 2025-07-17T07:12:16.1553415Z :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket 2025-07-17T07:12:16.1553948Z found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo) 2025-07-17T07:12:16.1554384Z args: The args to the operator 2025-07-17T07:12:16.1554704Z kwargs: The kwargs to the operator 2025-07-17T07:12:16.1555103Z test_utils: Tests that we should run. Default: all of them. 2025-07-17T07:12:16.1555522Z Example: ("test_schema", "test_faketensor") 2025-07-17T07:12:16.1555967Z raise_exception: If we should raise an exception on the first 2025-07-17T07:12:16.1556434Z error. If False, we will return a dict with information 2025-07-17T07:12:16.1556816Z on if each test passed or not. 2025-07-17T07:12:16.1557266Z rtol (Optional[float]): Relative tolerance for floating point comparisons. 2025-07-17T07:12:16.1557766Z If specified ``atol`` must also be specified. 2025-07-17T07:12:16.1558198Z If omitted, default values based on the ``dtype`` are selected 2025-07-17T07:12:16.1558656Z (see the table in :func:`torch.testing.assert_close`). 2025-07-17T07:12:16.1559170Z atol (Optional[float]): Absolute tolerance for floating point comparisons. 2025-07-17T07:12:16.1559300Z If specified ``rtol`` must also be specified. 2025-07-17T07:12:16.1559490Z If omitted, default values based on the ``dtype`` are selected 2025-07-17T07:12:16.1559650Z (see the table in :func:`torch.testing.assert_close`). 2025-07-17T07:12:16.1559730Z 2025-07-17T07:12:16.1559812Z .. warning:: 2025-07-17T07:12:16.1559886Z 2025-07-17T07:12:16.1560104Z opcheck and :func:`torch.autograd.gradcheck` test different things; 2025-07-17T07:12:16.1560338Z opcheck tests if your usage of torch.library APIs is correct while 2025-07-17T07:12:16.1560542Z :func:`torch.autograd.gradcheck` tests if your autograd formula is 2025-07-17T07:12:16.1560760Z mathematically correct. Use both to test custom ops that support 2025-07-17T07:12:16.1560856Z gradient computation. 2025-07-17T07:12:16.1560930Z 2025-07-17T07:12:16.1561024Z Example: 2025-07-17T07:12:16.1561099Z 2025-07-17T07:12:16.1561238Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-07-17T07:12:16.1561432Z >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=()) 2025-07-17T07:12:16.1561571Z >>> def numpy_mul(x: Tensor, y: float) -> Tensor: 2025-07-17T07:12:16.1561688Z >>> x_np = x.numpy(force=True) 2025-07-17T07:12:16.1561810Z >>> z_np = x_np * y 2025-07-17T07:12:16.1561939Z >>> return torch.from_numpy(z_np).to(x.device) 2025-07-17T07:12:16.1562027Z >>> 2025-07-17T07:12:16.1562124Z >>> @numpy_mul.register_fake 2025-07-17T07:12:16.1562206Z >>> def _(x, y): 2025-07-17T07:12:16.1562323Z >>> return torch.empty_like(x) 2025-07-17T07:12:16.1562396Z >>> 2025-07-17T07:12:16.1562528Z >>> def setup_context(ctx, inputs, output): 2025-07-17T07:12:16.1562613Z >>> y, = inputs 2025-07-17T07:12:16.1562764Z >>> ctx.y = y 2025-07-17T07:12:16.1562848Z >>> 2025-07-17T07:12:16.1562946Z >>> def backward(ctx, grad): 2025-07-17T07:12:16.1563047Z >>> return grad * ctx.y, None 2025-07-17T07:12:16.1563130Z >>> 2025-07-17T07:12:16.1563344Z >>> numpy_mul.register_autograd(backward, setup_context=setup_context) 2025-07-17T07:12:16.1563418Z >>> 2025-07-17T07:12:16.1563517Z >>> sample_inputs = [ 2025-07-17T07:12:16.1563623Z >>> (torch.randn(3), 3.14), 2025-07-17T07:12:16.1563758Z >>> (torch.randn(2, 3, device='cuda'), 2.718), 2025-07-17T07:12:16.1563897Z >>> (torch.randn(1, 10, requires_grad=True), 1.234), 2025-07-17T07:12:16.1564078Z >>> (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18), 2025-07-17T07:12:16.1564160Z >>> ] 2025-07-17T07:12:16.1564232Z >>> 2025-07-17T07:12:16.1564335Z >>> for args in sample_inputs: 2025-07-17T07:12:16.1564478Z >>> torch.library.opcheck(numpy_mul, args) 2025-07-17T07:12:16.1564551Z 2025-07-17T07:12:16.1564629Z 2025-07-17T07:12:16.1564883Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1564958Z 2025-07-17T07:12:16.1565047Z warnings.warn(msg) 2025-07-17T07:12:16.1565127Z 2025-07-17T07:12:16.1565341Z --- Parse Warning: 12 / 136 --- 2025-07-17T07:12:16.1566194Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/serialization.py line=1285. 2025-07-17T07:12:16.1566449Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1566768Z load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args) 2025-07-17T07:12:16.1566850Z 2025-07-17T07:12:16.1567026Z Loads an object saved with :func:`torch.save` from a file. 2025-07-17T07:12:16.1567098Z 2025-07-17T07:12:16.1567325Z :func:`torch.load` uses Python's unpickling facilities but treats storages, 2025-07-17T07:12:16.1567546Z which underlie tensors, specially. They are first deserialized on the 2025-07-17T07:12:16.1567764Z CPU and are then moved to the device they were saved from. If this fails 2025-07-17T07:12:16.1567985Z (e.g. because the run time system doesn't have certain devices), an exception 2025-07-17T07:12:16.1568242Z is raised. However, storages can be dynamically remapped to an alternative 2025-07-17T07:12:16.1568404Z set of devices using the :attr:`map_location` argument. 2025-07-17T07:12:16.1568477Z 2025-07-17T07:12:16.1568707Z If :attr:`map_location` is a callable, it will be called once for each serialized 2025-07-17T07:12:16.1568924Z storage with two arguments: storage and location. The storage argument 2025-07-17T07:12:16.1569147Z will be the initial deserialization of the storage, residing on the CPU. 2025-07-17T07:12:16.1569362Z Each serialized storage has a location tag associated with it which 2025-07-17T07:12:16.1569746Z identifies the device it was saved from, and this tag is the second 2025-07-17T07:12:16.1569990Z argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'`` 2025-07-17T07:12:16.1570297Z for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors. 2025-07-17T07:12:16.1570496Z :attr:`map_location` should return either ``None`` or a storage. If 2025-07-17T07:12:16.1570749Z :attr:`map_location` returns a storage, it will be used as the final deserialized 2025-07-17T07:12:16.1570986Z object, already moved to the right device. Otherwise, :func:`torch.load` will 2025-07-17T07:12:16.1571225Z fall back to the default behavior, as if :attr:`map_location` wasn't specified. 2025-07-17T07:12:16.1571304Z 2025-07-17T07:12:16.1571596Z If :attr:`map_location` is a :class:`torch.device` object or a string containing 2025-07-17T07:12:16.1571822Z a device tag, it indicates the location where all tensors should be loaded. 2025-07-17T07:12:16.1571907Z 2025-07-17T07:12:16.1572161Z Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags 2025-07-17T07:12:16.1572370Z appearing in the file (keys), to ones that specify where to put the 2025-07-17T07:12:16.1572463Z storages (values). 2025-07-17T07:12:16.1572538Z 2025-07-17T07:12:16.1572765Z User extensions can register their own location tags and tagging and 2025-07-17T07:12:16.1573022Z deserialization methods using :func:`torch.serialization.register_package`. 2025-07-17T07:12:16.1573093Z 2025-07-17T07:12:16.1573337Z See :ref:`layout-control` for more advanced tools to manipulate a checkpoint. 2025-07-17T07:12:16.1573412Z 2025-07-17T07:12:16.1573485Z Args: 2025-07-17T07:12:16.1573803Z f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`), 2025-07-17T07:12:16.1573968Z or a string or os.PathLike object containing a file name 2025-07-17T07:12:16.1574296Z map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage 2025-07-17T07:12:16.1574384Z locations 2025-07-17T07:12:16.1574603Z pickle_module: module used for unpickling metadata and objects (has to 2025-07-17T07:12:16.1574775Z match the :attr:`pickle_module` used to serialize file) 2025-07-17T07:12:16.1574979Z weights_only: Indicates whether unpickler should be restricted to 2025-07-17T07:12:16.1575133Z loading only tensors, primitive types, dictionaries 2025-07-17T07:12:16.1575357Z and any types added via :func:`torch.serialization.add_safe_globals`. 2025-07-17T07:12:16.1575484Z See :ref:`weights-only` for more details. 2025-07-17T07:12:16.1575819Z mmap: Indicates whether the file should be mapped rather than loading all the storages into memory. 2025-07-17T07:12:16.1576149Z Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they 2025-07-17T07:12:16.1576482Z are moved to the location that they were tagged with when saving, or specified by ``map_location``. This 2025-07-17T07:12:16.1576848Z second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the 2025-07-17T07:12:16.1577173Z tensor storages from disk to CPU memory in the first step, ``f`` is mapped, which means tensor storages 2025-07-17T07:12:16.1577325Z will be lazily loaded when their data is accessed. 2025-07-17T07:12:16.1577556Z pickle_load_args: (Python 3 only) optional keyword arguments passed over to 2025-07-17T07:12:16.1577773Z :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g., 2025-07-17T07:12:16.1577879Z :attr:`errors=...`. 2025-07-17T07:12:16.1577957Z 2025-07-17T07:12:16.1578044Z .. warning:: 2025-07-17T07:12:16.1578252Z :func:`torch.load()` unless `weights_only` parameter is set to `True`, 2025-07-17T07:12:16.1578442Z uses ``pickle`` module implicitly, which is known to be insecure. 2025-07-17T07:12:16.1578743Z It is possible to construct malicious pickle data which will execute arbitrary code 2025-07-17T07:12:16.1578977Z during unpickling. Never load data that could have come from an untrusted 2025-07-17T07:12:16.1579337Z source in an unsafe mode, or that could have been tampered with. **Only load data you trust**. 2025-07-17T07:12:16.1579424Z 2025-07-17T07:12:16.1579505Z .. note:: 2025-07-17T07:12:16.1579755Z When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors 2025-07-17T07:12:16.1580070Z will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')`` 2025-07-17T07:12:16.1580331Z and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint. 2025-07-17T07:12:16.1580417Z 2025-07-17T07:12:16.1580494Z .. note:: 2025-07-17T07:12:16.1580733Z By default, we decode byte strings as ``utf-8``. This is to avoid a common error 2025-07-17T07:12:16.1580963Z case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...`` 2025-07-17T07:12:16.1581163Z when loading files saved by Python 2 in Python 3. If this default 2025-07-17T07:12:16.1581411Z is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how 2025-07-17T07:12:16.1581652Z these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them 2025-07-17T07:12:16.1581884Z to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them 2025-07-17T07:12:16.1582113Z as byte arrays which can be decoded later with ``byte_array.decode(...)``. 2025-07-17T07:12:16.1582186Z 2025-07-17T07:12:16.1582264Z Example: 2025-07-17T07:12:16.1582410Z >>> # xdoctest: +SKIP("undefined filepaths") 2025-07-17T07:12:16.1582549Z >>> torch.load("tensors.pt", weights_only=True) 2025-07-17T07:12:16.1582661Z # Load all tensors onto the CPU 2025-07-17T07:12:16.1582758Z >>> torch.load( 2025-07-17T07:12:16.1582851Z ... "tensors.pt", 2025-07-17T07:12:16.1582978Z ... map_location=torch.device("cpu"), 2025-07-17T07:12:16.1583085Z ... weights_only=True, 2025-07-17T07:12:16.1583159Z ... ) 2025-07-17T07:12:16.1583300Z # Load all tensors onto the CPU, using a function 2025-07-17T07:12:16.1583382Z >>> torch.load( 2025-07-17T07:12:16.1583468Z ... "tensors.pt", 2025-07-17T07:12:16.1583608Z ... map_location=lambda storage, loc: storage, 2025-07-17T07:12:16.1583706Z ... weights_only=True, 2025-07-17T07:12:16.1583788Z ... ) 2025-07-17T07:12:16.1583896Z # Load all tensors onto GPU 1 2025-07-17T07:12:16.1583980Z >>> torch.load( 2025-07-17T07:12:16.1584069Z ... "tensors.pt", 2025-07-17T07:12:16.1584229Z ... map_location=lambda storage, loc: storage.cuda(1), 2025-07-17T07:12:16.1584352Z ... weights_only=True, 2025-07-17T07:12:16.1584469Z ... ) # type: ignore[attr-defined] 2025-07-17T07:12:16.1584581Z # Map tensors from GPU 1 to GPU 0 2025-07-17T07:12:16.1584666Z >>> torch.load( 2025-07-17T07:12:16.1584766Z ... "tensors.pt", 2025-07-17T07:12:16.1584883Z ... map_location={"cuda:1": "cuda:0"}, 2025-07-17T07:12:16.1584980Z ... weights_only=True, 2025-07-17T07:12:16.1585070Z ... ) 2025-07-17T07:12:16.1585189Z # Load tensor from io.BytesIO object 2025-07-17T07:12:16.1585439Z # Loading from a buffer setting weights_only=False, warning this can be unsafe 2025-07-17T07:12:16.1585565Z >>> with open("tensor.pt", "rb") as f: 2025-07-17T07:12:16.1585674Z ... buffer = io.BytesIO(f.read()) 2025-07-17T07:12:16.1585806Z >>> torch.load(buffer, weights_only=False) 2025-07-17T07:12:16.1585975Z # Load a module with 'ascii' encoding for unpickling 2025-07-17T07:12:16.1586219Z # Loading from a module setting weights_only=False, warning this can be unsafe 2025-07-17T07:12:16.1586412Z >>> torch.load("module.pt", encoding="ascii", weights_only=False) 2025-07-17T07:12:16.1586490Z 2025-07-17T07:12:16.1586740Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1586828Z 2025-07-17T07:12:16.1586919Z warnings.warn(msg) 2025-07-17T07:12:16.1586999Z 2025-07-17T07:12:16.1587271Z --- Parse Warning: 13 / 136 --- 2025-07-17T07:12:16.1588261Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compute_required_storage_length in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_prims_common/__init__.py line=1848. 2025-07-17T07:12:16.1588523Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1588741Z Computes the minimum storage size to hold the given tensor geometry. 2025-07-17T07:12:16.1588820Z 2025-07-17T07:12:16.1588910Z Example 2025-07-17T07:12:16.1588990Z ======= 2025-07-17T07:12:16.1589068Z 2025-07-17T07:12:16.1589303Z This is the size of a newly allocated tensor's storage, in units of elements 2025-07-17T07:12:16.1589380Z 2025-07-17T07:12:16.1589479Z >>> t = torch.empty((10, 20)) 2025-07-17T07:12:16.1589723Z >>> compute_required_storage_length(t.shape, t.stride(), t.storage_offset()) 2025-07-17T07:12:16.1589801Z 200 2025-07-17T07:12:16.1589888Z 2025-07-17T07:12:16.1589990Z >>> # xdoctest: +SKIP(failing) 2025-07-17T07:12:16.1590118Z >>> t2 = torch.empty_strided((1, 2, 3), (5, 7, 11)) 2025-07-17T07:12:16.1590249Z >>> size = compute_required_storage_length( 2025-07-17T07:12:16.1590379Z ... t2.shape, t2.stride(), t2.storage_offset() 2025-07-17T07:12:16.1590459Z ... ) 2025-07-17T07:12:16.1590575Z >>> size == t.storage().size() 2025-07-17T07:12:16.1590653Z True 2025-07-17T07:12:16.1590728Z 2025-07-17T07:12:16.1590921Z A valid tensor may have a larger storage size, but never smaller 2025-07-17T07:12:16.1590996Z 2025-07-17T07:12:16.1591115Z >>> slice = torch.empty(100)[20:40] 2025-07-17T07:12:16.1591212Z >>> slice.storage().size() 2025-07-17T07:12:16.1591288Z 100 2025-07-17T07:12:16.1591375Z 2025-07-17T07:12:16.1591489Z >>> compute_required_storage_length( 2025-07-17T07:12:16.1591650Z ... slice.shape, slice.stride(), slice.storage_offset() 2025-07-17T07:12:16.1591743Z ... ) 2025-07-17T07:12:16.1591821Z 40 2025-07-17T07:12:16.1591896Z 2025-07-17T07:12:16.1591977Z 2025-07-17T07:12:16.1592222Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1592293Z 2025-07-17T07:12:16.1592390Z warnings.warn(msg) 2025-07-17T07:12:16.1592497Z 2025-07-17T07:12:16.1592695Z --- Parse Warning: 14 / 136 --- 2025-07-17T07:12:16.1593574Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=66. 2025-07-17T07:12:16.1593813Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:16.1594079Z Check if the current accelerator is available at runtime: it was build, all the 2025-07-17T07:12:16.1594291Z required drivers are available and at least one device is visible. 2025-07-17T07:12:16.1594443Z See :ref:`accelerator` for details. 2025-07-17T07:12:16.1594515Z 2025-07-17T07:12:16.1594598Z Returns: 2025-07-17T07:12:16.1594881Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-07-17T07:12:16.1594987Z 2025-07-17T07:12:16.1595222Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-07-17T07:12:16.1595488Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-07-17T07:12:16.1595732Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-07-17T07:12:16.1595876Z :ref:`multiprocessing-poison-fork-note`. 2025-07-17T07:12:16.1595967Z 2025-07-17T07:12:16.1596053Z Example:: 2025-07-17T07:12:16.1596131Z 2025-07-17T07:12:16.1596456Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-07-17T07:12:16.1596536Z 2025-07-17T07:12:16.1597103Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-07-17T07:12:16.1597181Z 2025-07-17T07:12:16.1597437Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-07-17T07:12:16.1597548Z ^ 2025-07-17T07:12:16.1597642Z warnings.warn(msg) 2025-07-17T07:12:16.1597719Z 2025-07-17T07:12:16.1597907Z --- Parse Warning: 15 / 136 --- 2025-07-17T07:12:16.1598801Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/accelerator/__init__.py line=212. 2025-07-17T07:12:16.1599070Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:16.1599270Z Wait for all kernels in all streams on the given device to complete. 2025-07-17T07:12:16.1599346Z 2025-07-17T07:12:16.1599440Z Args: 2025-07-17T07:12:16.1599752Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-07-17T07:12:16.1599986Z the current :ref:`accelerator` device type. If not given, 2025-07-17T07:12:16.1600183Z use :func:`torch.accelerator.current_device_index` by default. 2025-07-17T07:12:16.1600260Z 2025-07-17T07:12:16.1600576Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-07-17T07:12:16.1600653Z 2025-07-17T07:12:16.1600737Z Example:: 2025-07-17T07:12:16.1600820Z 2025-07-17T07:12:16.1600958Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-07-17T07:12:16.1601219Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-07-17T07:12:16.1601370Z >>> start_event = torch.Event(enable_timing=True) 2025-07-17T07:12:16.1601502Z >>> end_event = torch.Event(enable_timing=True) 2025-07-17T07:12:16.1601614Z >>> start_event.record() 2025-07-17T07:12:16.1601849Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-07-17T07:12:16.1601984Z >>> sum = torch.sum(tensor) 2025-07-17T07:12:16.1602088Z >>> end_event.record() 2025-07-17T07:12:16.1602213Z >>> torch.accelerator.synchronize() 2025-07-17T07:12:16.1602378Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-07-17T07:12:16.1602466Z 2025-07-17T07:12:16.1603022Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-07-17T07:12:16.1603109Z 2025-07-17T07:12:16.1603360Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-07-17T07:12:16.1603460Z ^ 2025-07-17T07:12:16.1603567Z warnings.warn(msg) 2025-07-17T07:12:16.1603646Z 2025-07-17T07:12:16.1603827Z --- Parse Warning: 16 / 136 --- 2025-07-17T07:12:16.1604674Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/cuda/__init__.py line=434. 2025-07-17T07:12:16.1604946Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:16.1605068Z Retrieves the CUDA runtime API module. 2025-07-17T07:12:16.1605140Z 2025-07-17T07:12:16.1605216Z 2025-07-17T07:12:16.1605472Z This function initializes the CUDA runtime environment if it is not already 2025-07-17T07:12:16.1605743Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-07-17T07:12:16.1605966Z runtime API module provides access to various CUDA runtime functions. 2025-07-17T07:12:16.1606053Z 2025-07-17T07:12:16.1606134Z Args: 2025-07-17T07:12:16.1606215Z ``None`` 2025-07-17T07:12:16.1606299Z 2025-07-17T07:12:16.1606378Z Returns: 2025-07-17T07:12:16.1606516Z module: The CUDA runtime API module (_cudart). 2025-07-17T07:12:16.1606604Z 2025-07-17T07:12:16.1606683Z Raises: 2025-07-17T07:12:16.1606908Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-07-17T07:12:16.1607264Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-07-17T07:12:16.1607342Z 2025-07-17T07:12:16.1607486Z Example of CUDA operations with profiling: 2025-07-17T07:12:16.1607578Z >>> import torch 2025-07-17T07:12:16.1607708Z >>> from torch.cuda import cudart, check_error 2025-07-17T07:12:16.1607808Z >>> import os 2025-07-17T07:12:16.1607895Z >>> 2025-07-17T07:12:16.1608008Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-07-17T07:12:16.1608097Z >>> 2025-07-17T07:12:16.1608233Z >>> def perform_cuda_operations_with_streams(): 2025-07-17T07:12:16.1608352Z >>> stream = torch.cuda.Stream() 2025-07-17T07:12:16.1608469Z >>> with torch.cuda.stream(stream): 2025-07-17T07:12:16.1608596Z >>> x = torch.randn(100, 100, device='cuda') 2025-07-17T07:12:16.1608726Z >>> y = torch.randn(100, 100, device='cuda') 2025-07-17T07:12:16.1608826Z >>> z = torch.mul(x, y) 2025-07-17T07:12:16.1608908Z >>> return z 2025-07-17T07:12:16.1608993Z >>> 2025-07-17T07:12:16.1609101Z >>> torch.cuda.synchronize() 2025-07-17T07:12:16.1609234Z >>> print("====== Start nsys profiling ======") 2025-07-17T07:12:16.1609378Z >>> check_error(cudart().cudaProfilerStart()) 2025-07-17T07:12:16.1609513Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-07-17T07:12:16.1609664Z >>> result = perform_cuda_operations_with_streams() 2025-07-17T07:12:16.1609788Z >>> print("CUDA operations completed.") 2025-07-17T07:12:16.1609941Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-07-17T07:12:16.1610104Z >>> print("====== End nsys profiling ======") 2025-07-17T07:12:16.1610181Z 2025-07-17T07:12:16.1610375Z To run this example and save the profiling information, execute: 2025-07-17T07:12:16.1610747Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-07-17T07:12:16.1610818Z 2025-07-17T07:12:16.1611069Z This command profiles the CUDA operations in the provided script and saves 2025-07-17T07:12:16.1611263Z the profiling information to a file named `trace_name.prof`. 2025-07-17T07:12:16.1611491Z The `--profile-from-start off` option ensures that profiling starts only 2025-07-17T07:12:16.1611645Z after the `cudaProfilerStart` call in the script. 2025-07-17T07:12:16.1611862Z The `--csv` and `--print-summary` options format the profiling output as a 2025-07-17T07:12:16.1611987Z CSV file and print a summary, respectively. 2025-07-17T07:12:16.1612263Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-07-17T07:12:16.1612409Z overwrite of the output file if it already exists. 2025-07-17T07:12:16.1612494Z 2025-07-17T07:12:16.1613144Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2)) 2025-07-17T07:12:16.1613223Z 2025-07-17T07:12:16.1613626Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-07-17T07:12:16.1613702Z ^ 2025-07-17T07:12:16.1613796Z warnings.warn(msg) 2025-07-17T07:12:16.1613881Z 2025-07-17T07:12:16.1614069Z --- Parse Warning: 17 / 136 --- 2025-07-17T07:12:16.1614934Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.then in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=101. 2025-07-17T07:12:16.1615208Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1615286Z 2025-07-17T07:12:16.1615511Z Append the given callback function to this ``Future``, which will be run 2025-07-17T07:12:16.1615713Z when the ``Future`` is completed. Multiple callbacks can be added to 2025-07-17T07:12:16.1615915Z the same ``Future``, but the order in which they will be executed cannot 2025-07-17T07:12:16.1616104Z be guaranteed (to enforce a certain order consider chaining: 2025-07-17T07:12:16.1616296Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which 2025-07-17T07:12:16.1616509Z is the reference to this ``Future``. The callback function can use the 2025-07-17T07:12:16.1616713Z :meth:`value` method to get the value. Note that if this ``Future`` is 2025-07-17T07:12:16.1616932Z already completed, the given callback will be run immediately inline. 2025-07-17T07:12:16.1617032Z 2025-07-17T07:12:16.1617222Z If the ``Future``'s value contains tensors that reside on GPUs, the 2025-07-17T07:12:16.1617440Z callback might be invoked while the async kernels that are populating 2025-07-17T07:12:16.1617665Z those tensors haven't yet finished executing on the device. However, the 2025-07-17T07:12:16.1617865Z callback will be invoked with some dedicated streams set as current 2025-07-17T07:12:16.1618069Z (fetched from a global pool) which will be synchronized with those 2025-07-17T07:12:16.1618296Z kernels. Hence any operation performed by the callback on these tensors 2025-07-17T07:12:16.1618499Z will be scheduled on the device after the kernels complete. In other 2025-07-17T07:12:16.1618704Z words, as long as the callback doesn't switch streams, it can safely 2025-07-17T07:12:16.1618924Z manipulate the result without any additional synchronization. This is 2025-07-17T07:12:16.1619186Z similar to the non-blocking behavior of :meth:`wait`. 2025-07-17T07:12:16.1619322Z 2025-07-17T07:12:16.1619529Z Similarly, if the callback returns a value that contains tensors that 2025-07-17T07:12:16.1619719Z reside on a GPU, it can do so even if the kernels that are producing 2025-07-17T07:12:16.1619947Z these tensors are still running on the device, as long as the callback 2025-07-17T07:12:16.1620147Z didn't change streams during its execution. If one wants to change 2025-07-17T07:12:16.1620368Z streams, one must be careful to re-synchronize them with the original 2025-07-17T07:12:16.1620588Z streams, that is, those that were current when the callback was invoked. 2025-07-17T07:12:16.1620668Z 2025-07-17T07:12:16.1620760Z Args: 2025-07-17T07:12:16.1620960Z callback(``Callable``): a ``Callable`` that takes this ``Future`` as 2025-07-17T07:12:16.1621067Z the only argument. 2025-07-17T07:12:16.1621158Z 2025-07-17T07:12:16.1621266Z Returns: 2025-07-17T07:12:16.1621443Z A new ``Future`` object that holds the return value of the 2025-07-17T07:12:16.1621618Z ``callback`` and will be marked as completed when the given 2025-07-17T07:12:16.1621726Z ``callback`` finishes. 2025-07-17T07:12:16.1621806Z 2025-07-17T07:12:16.1621976Z .. note:: Note that if the callback function throws, either 2025-07-17T07:12:16.1622197Z through the original future being completed with an exception and 2025-07-17T07:12:16.1622386Z calling ``fut.wait()``, or through other code in the callback, the 2025-07-17T07:12:16.1622636Z future returned by ``then`` will be marked appropriately with the 2025-07-17T07:12:16.1622842Z encountered error. However, if this callback later completes 2025-07-17T07:12:16.1623053Z additional futures, those futures are not marked as completed with 2025-07-17T07:12:16.1623251Z an error and the user is responsible for handling completion/waiting 2025-07-17T07:12:16.1623376Z on those futures independently. 2025-07-17T07:12:16.1623457Z 2025-07-17T07:12:16.1623555Z Example:: 2025-07-17T07:12:16.1623635Z 2025-07-17T07:12:16.1623780Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2025-07-17T07:12:16.1623889Z >>> def callback(fut): 2025-07-17T07:12:16.1624026Z ... print(f"RPC return value is {fut.wait()}.") 2025-07-17T07:12:16.1624138Z >>> fut = torch.futures.Future() 2025-07-17T07:12:16.1624316Z >>> # The inserted callback will print the return value when 2025-07-17T07:12:16.1624443Z >>> # receiving the response from "worker1" 2025-07-17T07:12:16.1624546Z >>> cb_fut = fut.then(callback) 2025-07-17T07:12:16.1624659Z >>> chain_cb_fut = cb_fut.then( 2025-07-17T07:12:16.1624805Z ... lambda x : print(f"Chained cb done. {x.wait()}") 2025-07-17T07:12:16.1624899Z ... ) 2025-07-17T07:12:16.1624994Z >>> fut.set_result(5) 2025-07-17T07:12:16.1625095Z RPC return value is 5. 2025-07-17T07:12:16.1625207Z Chained cb done. None 2025-07-17T07:12:16.1625286Z 2025-07-17T07:12:16.1625538Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1625631Z 2025-07-17T07:12:16.1625726Z warnings.warn(msg) 2025-07-17T07:12:16.1625804Z 2025-07-17T07:12:16.1626011Z --- Parse Warning: 18 / 136 --- 2025-07-17T07:12:16.1626916Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.set_result in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/futures/__init__.py line=211. 2025-07-17T07:12:16.1627189Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1627266Z 2025-07-17T07:12:16.1627465Z Set the result for this ``Future``, which will mark this ``Future`` as 2025-07-17T07:12:16.1627692Z completed and trigger all attached callbacks. Note that a ``Future`` 2025-07-17T07:12:16.1627803Z cannot be marked completed twice. 2025-07-17T07:12:16.1627911Z 2025-07-17T07:12:16.1628133Z If the result contains tensors that reside on GPUs, this method can be 2025-07-17T07:12:16.1628334Z called even if the asynchronous kernels that are populating those 2025-07-17T07:12:16.1628565Z tensors haven't yet completed running on the device, provided that the 2025-07-17T07:12:16.1628785Z streams on which those kernels were enqueued are set as the current ones 2025-07-17T07:12:16.1628995Z when this method is called. Put simply, it's safe to call this method 2025-07-17T07:12:16.1629216Z immediately after launching those kernels, without any additional 2025-07-17T07:12:16.1629436Z synchronization, as long as one doesn't change streams in between. This 2025-07-17T07:12:16.1629646Z method will record events on all the relevant current streams and will 2025-07-17T07:12:16.1629855Z use them to ensure proper scheduling for all the consumers of this 2025-07-17T07:12:16.1629977Z ``Future``. 2025-07-17T07:12:16.1630055Z 2025-07-17T07:12:16.1630141Z Args: 2025-07-17T07:12:16.1630297Z result (object): the result object of this ``Future``. 2025-07-17T07:12:16.1630385Z 2025-07-17T07:12:16.1630469Z Example:: 2025-07-17T07:12:16.1630546Z 2025-07-17T07:12:16.1630697Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES) 2025-07-17T07:12:16.1630790Z >>> import threading 2025-07-17T07:12:16.1630876Z >>> import time 2025-07-17T07:12:16.1631048Z >>> def slow_set_future(fut, value): 2025-07-17T07:12:16.1631143Z ... time.sleep(0.5) 2025-07-17T07:12:16.1631243Z ... fut.set_result(value) 2025-07-17T07:12:16.1631364Z >>> fut = torch.futures.Future() 2025-07-17T07:12:16.1631462Z >>> t = threading.Thread( 2025-07-17T07:12:16.1631559Z ... target=slow_set_future, 2025-07-17T07:12:16.1631676Z ... args=(fut, torch.ones(2) * 3) 2025-07-17T07:12:16.1631756Z ... ) 2025-07-17T07:12:16.1631855Z >>> t.start() 2025-07-17T07:12:16.1631948Z >>> print(fut.wait()) 2025-07-17T07:12:16.1632034Z tensor([3., 3.]) 2025-07-17T07:12:16.1632127Z >>> t.join() 2025-07-17T07:12:16.1632204Z 2025-07-17T07:12:16.1632452Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1632541Z 2025-07-17T07:12:16.1632633Z warnings.warn(msg) 2025-07-17T07:12:16.1632708Z 2025-07-17T07:12:16.1632908Z --- Parse Warning: 19 / 136 --- 2025-07-17T07:12:16.1633775Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compile_shader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/mps/__init__.py line=145. 2025-07-17T07:12:16.1634048Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1634263Z Compiles compute shader from source and allows one to invoke kernels 2025-07-17T07:12:16.1634411Z defined there from the comfort of Python runtime 2025-07-17T07:12:16.1634509Z Example:: 2025-07-17T07:12:16.1634586Z 2025-07-17T07:12:16.1634717Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS) 2025-07-17T07:12:16.1634844Z >>> lib = torch.mps.compile_shader( 2025-07-17T07:12:16.1635221Z ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }" 2025-07-17T07:12:16.1635313Z ... ) 2025-07-17T07:12:16.1635431Z >>> x = torch.zeros(16, device="mps") 2025-07-17T07:12:16.1635525Z >>> lib.full(x, 3.14) 2025-07-17T07:12:16.1635611Z 2025-07-17T07:12:16.1635860Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1635935Z 2025-07-17T07:12:16.1636041Z warnings.warn(msg) 2025-07-17T07:12:16.1636120Z 2025-07-17T07:12:16.1636298Z --- Parse Warning: 20 / 136 --- 2025-07-17T07:12:16.1637164Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=sum in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/sparse/__init__.py line=202. 2025-07-17T07:12:16.1637479Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1637646Z Return the sum of each row of the given sparse tensor. 2025-07-17T07:12:16.1637723Z 2025-07-17T07:12:16.1637948Z Returns the sum of each row of the sparse tensor :attr:`input` in the given 2025-07-17T07:12:16.1638153Z dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions, 2025-07-17T07:12:16.1638356Z reduce over all of them. When sum over all ``sparse_dim``, this method 2025-07-17T07:12:16.1638502Z returns a dense tensor instead of a sparse tensor. 2025-07-17T07:12:16.1638594Z 2025-07-17T07:12:16.1638854Z All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output 2025-07-17T07:12:16.1639080Z tensor having :attr:`dim` fewer dimensions than :attr:`input`. 2025-07-17T07:12:16.1639157Z 2025-07-17T07:12:16.1639373Z During backward, only gradients at ``nnz`` locations of :attr:`input` 2025-07-17T07:12:16.1639620Z will propagate back. Note that the gradients of :attr:`input` is coalesced. 2025-07-17T07:12:16.1639697Z 2025-07-17T07:12:16.1639777Z Args: 2025-07-17T07:12:16.1639909Z input (Tensor): the input sparse tensor 2025-07-17T07:12:16.1640223Z dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce 2025-07-17T07:12:16.1640317Z over all dims. 2025-07-17T07:12:16.1640577Z dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor. 2025-07-17T07:12:16.1640691Z Default: dtype of :attr:`input`. 2025-07-17T07:12:16.1640783Z 2025-07-17T07:12:16.1640867Z Example:: 2025-07-17T07:12:16.1640946Z 2025-07-17T07:12:16.1641037Z >>> nnz = 3 2025-07-17T07:12:16.1641129Z >>> dims = [5, 5, 2, 3] 2025-07-17T07:12:16.1641281Z >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)), 2025-07-17T07:12:16.1641475Z torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz) 2025-07-17T07:12:16.1641595Z >>> V = torch.randn(nnz, dims[2], dims[3]) 2025-07-17T07:12:16.1641697Z >>> size = torch.Size(dims) 2025-07-17T07:12:16.1641849Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-07-17T07:12:16.1641977Z >>> S = torch.sparse_coo_tensor(I, V, size) 2025-07-17T07:12:16.1642067Z >>> S 2025-07-17T07:12:16.1642174Z tensor(indices=tensor([[2, 0, 3], 2025-07-17T07:12:16.1642267Z [2, 4, 1]]), 2025-07-17T07:12:16.1642403Z values=tensor([[[-0.6438, -1.6467, 1.4004], 2025-07-17T07:12:16.1642512Z [ 0.3411, 0.0918, -0.2312]], 2025-07-17T07:12:16.1642590Z 2025-07-17T07:12:16.1642701Z [[ 0.5348, 0.0634, -2.0494], 2025-07-17T07:12:16.1642806Z [-0.7125, -1.0646, 2.1844]], 2025-07-17T07:12:16.1642884Z 2025-07-17T07:12:16.1642997Z [[ 0.1276, 0.1874, -0.6334], 2025-07-17T07:12:16.1643105Z [-1.9682, -0.5340, 0.7483]]]), 2025-07-17T07:12:16.1643255Z size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo) 2025-07-17T07:12:16.1643331Z 2025-07-17T07:12:16.1643518Z # when sum over only part of sparse_dims, return a sparse tensor 2025-07-17T07:12:16.1643634Z >>> torch.sparse.sum(S, [1, 3]) 2025-07-17T07:12:16.1643742Z tensor(indices=tensor([[0, 2, 3]]), 2025-07-17T07:12:16.1643851Z values=tensor([[-1.4512, 0.4073], 2025-07-17T07:12:16.1643964Z [-0.8901, 0.2017], 2025-07-17T07:12:16.1644092Z [-0.3183, -1.7539]]), 2025-07-17T07:12:16.1644222Z size=(5, 2), nnz=3, layout=torch.sparse_coo) 2025-07-17T07:12:16.1644309Z 2025-07-17T07:12:16.1644456Z # when sum over all sparse dim, return a dense tensor 2025-07-17T07:12:16.1644568Z # with summed dims squeezed 2025-07-17T07:12:16.1644675Z >>> torch.sparse.sum(S, [0, 1, 3]) 2025-07-17T07:12:16.1644768Z tensor([-2.6596, -1.1450]) 2025-07-17T07:12:16.1644863Z 2025-07-17T07:12:16.1645112Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1645188Z 2025-07-17T07:12:16.1645289Z warnings.warn(msg) 2025-07-17T07:12:16.1645364Z 2025-07-17T07:12:16.1645544Z --- Parse Warning: 21 / 136 --- 2025-07-17T07:12:16.1646376Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=39. 2025-07-17T07:12:16.1646666Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1646754Z 2025-07-17T07:12:16.1646966Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-07-17T07:12:16.1647159Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-07-17T07:12:16.1647432Z pushes the map into PyTorch operations called by ``func``, effectively 2025-07-17T07:12:16.1647539Z vectorizing those operations. 2025-07-17T07:12:16.1647618Z 2025-07-17T07:12:16.1647839Z vmap is useful for handling batch dimensions: one can write a function 2025-07-17T07:12:16.1648033Z ``func`` that runs on examples and then lift it to a function that can 2025-07-17T07:12:16.1648252Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-07-17T07:12:16.1648420Z compute batched gradients when composed with autograd. 2025-07-17T07:12:16.1648497Z 2025-07-17T07:12:16.1648591Z .. note:: 2025-07-17T07:12:16.1648770Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-07-17T07:12:16.1648895Z convenience. Use whichever one you'd like. 2025-07-17T07:12:16.1648982Z 2025-07-17T07:12:16.1649059Z Args: 2025-07-17T07:12:16.1649260Z func (function): A Python function that takes one or more arguments. 2025-07-17T07:12:16.1649381Z Must return one or more Tensors. 2025-07-17T07:12:16.1649579Z in_dims (int or nested structure): Specifies which dimension of the 2025-07-17T07:12:16.1649757Z inputs should be mapped over. ``in_dims`` should have a 2025-07-17T07:12:16.1649947Z structure like the inputs. If the ``in_dim`` for a particular 2025-07-17T07:12:16.1650127Z input is None, then that indicates there is no map dimension. 2025-07-17T07:12:16.1650227Z Default: 0. 2025-07-17T07:12:16.1650416Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-07-17T07:12:16.1650603Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-07-17T07:12:16.1650762Z it should have one element per output. Default: 0. 2025-07-17T07:12:16.1650943Z randomness (str): Specifies whether the randomness in this 2025-07-17T07:12:16.1651160Z vmap should be the same or different across batches. If 'different', 2025-07-17T07:12:16.1651360Z the randomness for each batch will be different. If 'same', the 2025-07-17T07:12:16.1651570Z randomness will be the same across batches. If 'error', any calls to 2025-07-17T07:12:16.1651787Z random functions will error. Default: 'error'. WARNING: this flag 2025-07-17T07:12:16.1651986Z only applies to random PyTorch operations and does not apply to 2025-07-17T07:12:16.1652120Z Python's random module or numpy randomness. 2025-07-17T07:12:16.1652381Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-07-17T07:12:16.1652592Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-07-17T07:12:16.1652857Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-07-17T07:12:16.1653119Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-07-17T07:12:16.1653197Z 2025-07-17T07:12:16.1653294Z Returns: 2025-07-17T07:12:16.1653481Z Returns a new "batched" function. It takes the same inputs as 2025-07-17T07:12:16.1653661Z ``func``, except each input has an extra dimension at the index 2025-07-17T07:12:16.1653857Z specified by ``in_dims``. It takes returns the same outputs as 2025-07-17T07:12:16.1654039Z ``func``, except each output has an extra dimension at the index 2025-07-17T07:12:16.1654208Z specified by ``out_dims``. 2025-07-17T07:12:16.1654289Z 2025-07-17T07:12:16.1654371Z .. warning: 2025-07-17T07:12:16.1654581Z :func:`vmap` works best with functional-style code. Please do not 2025-07-17T07:12:16.1654763Z perform any side-effects in ``func``, with the exception of 2025-07-17T07:12:16.1654995Z in-place PyTorch operations. Examples of side-effects include mutating 2025-07-17T07:12:16.1655232Z Python data structures and assigning values to variables not captured 2025-07-17T07:12:16.1655319Z in ``func``. 2025-07-17T07:12:16.1655397Z 2025-07-17T07:12:16.1655689Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-07-17T07:12:16.1655905Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-07-17T07:12:16.1656138Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-07-17T07:12:16.1656222Z 2025-07-17T07:12:16.1656326Z >>> torch.dot # [D], [D] -> [] 2025-07-17T07:12:16.1656538Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-07-17T07:12:16.1656667Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-07-17T07:12:16.1656764Z >>> batched_dot(x, y) 2025-07-17T07:12:16.1656855Z 2025-07-17T07:12:16.1657075Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-07-17T07:12:16.1657176Z model authoring experience. 2025-07-17T07:12:16.1657266Z 2025-07-17T07:12:16.1657376Z >>> batch_size, feature_size = 3, 5 2025-07-17T07:12:16.1657563Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-07-17T07:12:16.1657644Z >>> 2025-07-17T07:12:16.1657746Z >>> def model(feature_vec): 2025-07-17T07:12:16.1657888Z >>> # Very simple linear model with activation 2025-07-17T07:12:16.1658011Z >>> return feature_vec.dot(weights).relu() 2025-07-17T07:12:16.1658091Z >>> 2025-07-17T07:12:16.1658251Z >>> examples = torch.randn(batch_size, feature_size) 2025-07-17T07:12:16.1658373Z >>> result = torch.vmap(model)(examples) 2025-07-17T07:12:16.1658450Z 2025-07-17T07:12:16.1658707Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-07-17T07:12:16.1658934Z or impossible to batch. One example is higher-order gradient computation. 2025-07-17T07:12:16.1659251Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-07-17T07:12:16.1659474Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-07-17T07:12:16.1659722Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-07-17T07:12:16.1659964Z we can vectorize the whole computation, computing the Jacobian in a single 2025-07-17T07:12:16.1660062Z call to ``autograd.grad``. 2025-07-17T07:12:16.1660139Z 2025-07-17T07:12:16.1660233Z >>> # Setup 2025-07-17T07:12:16.1660313Z >>> N = 5 2025-07-17T07:12:16.1660406Z >>> f = lambda x: x**2 2025-07-17T07:12:16.1660588Z >>> x = torch.randn(N, requires_grad=True) 2025-07-17T07:12:16.1660669Z >>> y = f(x) 2025-07-17T07:12:16.1660770Z >>> I_N = torch.eye(N) 2025-07-17T07:12:16.1660849Z >>> 2025-07-17T07:12:16.1660947Z >>> # Sequential approach 2025-07-17T07:12:16.1661171Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-07-17T07:12:16.1661279Z >>> for v in I_N.unbind()] 2025-07-17T07:12:16.1661397Z >>> jacobian = torch.stack(jacobian_rows) 2025-07-17T07:12:16.1661491Z >>> 2025-07-17T07:12:16.1661608Z >>> # vectorized gradient computation 2025-07-17T07:12:16.1661698Z >>> def get_vjp(v): 2025-07-17T07:12:16.1661832Z >>> return torch.autograd.grad(y, x, v) 2025-07-17T07:12:16.1661949Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-07-17T07:12:16.1662042Z 2025-07-17T07:12:16.1662301Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-07-17T07:12:16.1662406Z 2025-07-17T07:12:16.1662523Z >>> torch.dot # [D], [D] -> [] 2025-07-17T07:12:16.1662626Z >>> batched_dot = torch.vmap( 2025-07-17T07:12:16.1662727Z ... torch.vmap(torch.dot) 2025-07-17T07:12:16.1662853Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-07-17T07:12:16.1662987Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-07-17T07:12:16.1663109Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-07-17T07:12:16.1663197Z 2025-07-17T07:12:16.1663479Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-07-17T07:12:16.1663639Z the dimension that each inputs are batched along as 2025-07-17T07:12:16.1663717Z 2025-07-17T07:12:16.1663816Z >>> torch.dot # [N], [N] -> [] 2025-07-17T07:12:16.1664040Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-07-17T07:12:16.1664165Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-07-17T07:12:16.1664254Z >>> batched_dot( 2025-07-17T07:12:16.1664348Z ... x, y 2025-07-17T07:12:16.1664535Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-07-17T07:12:16.1664613Z 2025-07-17T07:12:16.1664879Z If there are multiple inputs each of which is batched along different dimensions, 2025-07-17T07:12:16.1665072Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-07-17T07:12:16.1665162Z 2025-07-17T07:12:16.1665265Z >>> torch.dot # [D], [D] -> [] 2025-07-17T07:12:16.1665495Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-07-17T07:12:16.1665626Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-07-17T07:12:16.1665715Z >>> batched_dot( 2025-07-17T07:12:16.1665798Z ... x, y 2025-07-17T07:12:16.1665997Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-07-17T07:12:16.1666077Z 2025-07-17T07:12:16.1666309Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-07-17T07:12:16.1666428Z matching the shape of the input: 2025-07-17T07:12:16.1666506Z 2025-07-17T07:12:16.1666657Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-07-17T07:12:16.1666777Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-07-17T07:12:16.1666873Z >>> input = {"x": x, "y": y} 2025-07-17T07:12:16.1667058Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-07-17T07:12:16.1667159Z >>> batched_dot(input) 2025-07-17T07:12:16.1667236Z 2025-07-17T07:12:16.1667518Z By default, the output is batched along the first dimension. However, it can be batched 2025-07-17T07:12:16.1667638Z along any dimension by using ``out_dims`` 2025-07-17T07:12:16.1667717Z 2025-07-17T07:12:16.1667823Z >>> f = lambda x: x**2 2025-07-17T07:12:16.1667921Z >>> x = torch.randn(2, 5) 2025-07-17T07:12:16.1668077Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-07-17T07:12:16.1668173Z >>> batched_pow(x) # [5, 2] 2025-07-17T07:12:16.1668252Z 2025-07-17T07:12:16.1668552Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-07-17T07:12:16.1668639Z accept kwargs 2025-07-17T07:12:16.1668717Z 2025-07-17T07:12:16.1668828Z >>> x = torch.randn([2, 5]) 2025-07-17T07:12:16.1668922Z >>> def fn(x, scale=4.): 2025-07-17T07:12:16.1669014Z >>> return x * scale 2025-07-17T07:12:16.1669107Z >>> 2025-07-17T07:12:16.1669214Z >>> batched_pow = torch.vmap(fn) 2025-07-17T07:12:16.1669353Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-07-17T07:12:16.1669750Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-07-17T07:12:16.1669829Z 2025-07-17T07:12:16.1669932Z .. note:: 2025-07-17T07:12:16.1670222Z vmap does not provide general autobatching or handle variable-length 2025-07-17T07:12:16.1670324Z sequences out of the box. 2025-07-17T07:12:16.1670414Z 2025-07-17T07:12:16.1670666Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1670745Z 2025-07-17T07:12:16.1670851Z warnings.warn(msg) 2025-07-17T07:12:16.1670931Z 2025-07-17T07:12:16.1671149Z --- Parse Warning: 22 / 136 --- 2025-07-17T07:12:16.1672080Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_functorch/apis.py line=306. 2025-07-17T07:12:16.1672341Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1672585Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-07-17T07:12:16.1672780Z input(s) specified by ``argnums``. This operator can be nested to 2025-07-17T07:12:16.1672895Z compute higher-order gradients. 2025-07-17T07:12:16.1672985Z 2025-07-17T07:12:16.1673067Z Args: 2025-07-17T07:12:16.1673272Z func (Callable): A Python function that takes one or more arguments. 2025-07-17T07:12:16.1673540Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-07-17T07:12:16.1673804Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-07-17T07:12:16.1673912Z ``(output, aux)``. 2025-07-17T07:12:16.1674187Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-07-17T07:12:16.1674387Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-07-17T07:12:16.1674611Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-07-17T07:12:16.1674772Z auxiliary objects: ``(output, aux)``. Default: False. 2025-07-17T07:12:16.1674853Z 2025-07-17T07:12:16.1674946Z Returns: 2025-07-17T07:12:16.1675223Z Function to compute gradients with respect to its inputs. By default, the output of 2025-07-17T07:12:16.1675466Z the function is the gradient tensor(s) with respect to the first argument. 2025-07-17T07:12:16.1675737Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-07-17T07:12:16.1675989Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-07-17T07:12:16.1676143Z respect to each ``argnums`` value is returned. 2025-07-17T07:12:16.1676222Z 2025-07-17T07:12:16.1676323Z Example of using ``grad``: 2025-07-17T07:12:16.1676412Z 2025-07-17T07:12:16.1676511Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.1676620Z >>> from torch.func import grad 2025-07-17T07:12:16.1676734Z >>> x = torch.randn([]) 2025-07-17T07:12:16.1676860Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-07-17T07:12:16.1677039Z >>> assert torch.allclose(cos_x, x.cos()) 2025-07-17T07:12:16.1677120Z >>> 2025-07-17T07:12:16.1677225Z >>> # Second-order gradients 2025-07-17T07:12:16.1677381Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-07-17T07:12:16.1677516Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-07-17T07:12:16.1677593Z 2025-07-17T07:12:16.1677853Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-07-17T07:12:16.1677936Z 2025-07-17T07:12:16.1678030Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.1678160Z >>> from torch.func import grad, vmap 2025-07-17T07:12:16.1678270Z >>> batch_size, feature_size = 3, 5 2025-07-17T07:12:16.1678361Z >>> 2025-07-17T07:12:16.1678476Z >>> def model(weights, feature_vec): 2025-07-17T07:12:16.1678632Z >>> # Very simple linear model with activation 2025-07-17T07:12:16.1678758Z >>> assert feature_vec.dim() == 1 2025-07-17T07:12:16.1678882Z >>> return feature_vec.dot(weights).relu() 2025-07-17T07:12:16.1678962Z >>> 2025-07-17T07:12:16.1679107Z >>> def compute_loss(weights, example, target): 2025-07-17T07:12:16.1679219Z >>> y = model(weights, example) 2025-07-17T07:12:16.1679360Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-07-17T07:12:16.1679455Z >>> 2025-07-17T07:12:16.1679679Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-07-17T07:12:16.1679841Z >>> examples = torch.randn(batch_size, feature_size) 2025-07-17T07:12:16.1679955Z >>> targets = torch.randn(batch_size) 2025-07-17T07:12:16.1680077Z >>> inputs = (weights, examples, targets) 2025-07-17T07:12:16.1680322Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-07-17T07:12:16.1680417Z ... *inputs 2025-07-17T07:12:16.1680499Z ... ) 2025-07-17T07:12:16.1680589Z 2025-07-17T07:12:16.1680762Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-07-17T07:12:16.1680839Z 2025-07-17T07:12:16.1680946Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.1681057Z >>> from torch.func import grad 2025-07-17T07:12:16.1681176Z >>> def my_loss_func(y, y_pred): 2025-07-17T07:12:16.1681301Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-07-17T07:12:16.1681417Z >>> loss = loss_per_sample.mean() 2025-07-17T07:12:16.1681553Z >>> return loss, (y_pred, loss_per_sample) 2025-07-17T07:12:16.1681631Z >>> 2025-07-17T07:12:16.1681777Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-07-17T07:12:16.1681893Z >>> y_true = torch.rand(4) 2025-07-17T07:12:16.1682024Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-07-17T07:12:16.1682127Z >>> out = fn(y_true, y_preds) 2025-07-17T07:12:16.1682377Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-07-17T07:12:16.1682457Z 2025-07-17T07:12:16.1682557Z .. note:: 2025-07-17T07:12:16.1682725Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-07-17T07:12:16.1682800Z 2025-07-17T07:12:16.1682952Z Case 1: Using ``torch.no_grad`` inside a function: 2025-07-17T07:12:16.1683030Z 2025-07-17T07:12:16.1683131Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.1683231Z >>> def f(x): 2025-07-17T07:12:16.1683335Z >>> with torch.no_grad(): 2025-07-17T07:12:16.1683429Z >>> c = x ** 2 2025-07-17T07:12:16.1683530Z >>> return x - c 2025-07-17T07:12:16.1683608Z 2025-07-17T07:12:16.1683813Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-07-17T07:12:16.1683918Z 2025-07-17T07:12:16.1684103Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-07-17T07:12:16.1684194Z 2025-07-17T07:12:16.1684290Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.1684389Z >>> with torch.no_grad(): 2025-07-17T07:12:16.1684491Z >>> grad(f)(x) 2025-07-17T07:12:16.1684570Z 2025-07-17T07:12:16.1684789Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-07-17T07:12:16.1685019Z outer one. This is because ``grad`` is a "function transform": its result 2025-07-17T07:12:16.1685234Z should not depend on the result of a context manager outside of ``f``. 2025-07-17T07:12:16.1685323Z 2025-07-17T07:12:16.1685399Z 2025-07-17T07:12:16.1685647Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1685762Z 2025-07-17T07:12:16.1685856Z warnings.warn(msg) 2025-07-17T07:12:16.1685934Z 2025-07-17T07:12:16.1686143Z --- Parse Warning: 23 / 136 --- 2025-07-17T07:12:16.1687102Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/custom_ops.py line=396. 2025-07-17T07:12:16.1687349Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:16.1687602Z Register a FakeTensor implementation for this custom op. 2025-07-17T07:12:16.1687682Z 2025-07-17T07:12:16.1687937Z This is necessary to get the operator to work efficiently with torch.compile. 2025-07-17T07:12:16.1688014Z 2025-07-17T07:12:16.1688229Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-07-17T07:12:16.1688466Z specifies the behavior of this operator on Tensors that carry no data. 2025-07-17T07:12:16.1688616Z Given some input Tensors with certain properties 2025-07-17T07:12:16.1688871Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-07-17T07:12:16.1688988Z the output Tensors are. 2025-07-17T07:12:16.1689068Z 2025-07-17T07:12:16.1689280Z Please see :func:`torch.library.impl_abstract` for more details. 2025-07-17T07:12:16.1689356Z 2025-07-17T07:12:16.1689440Z Args: 2025-07-17T07:12:16.1689624Z fn (Callable): The function to register as the FakeTensor 2025-07-17T07:12:16.1689724Z implementation. 2025-07-17T07:12:16.1689803Z 2025-07-17T07:12:16.1689900Z Examples: 2025-07-17T07:12:16.1689994Z >>> import torch 2025-07-17T07:12:16.1690096Z >>> import numpy as np 2025-07-17T07:12:16.1690218Z >>> from torch import Tensor 2025-07-17T07:12:16.1690300Z >>> 2025-07-17T07:12:16.1690489Z >>> # Example 1: an operator without data-dependent output shape 2025-07-17T07:12:16.1690687Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-07-17T07:12:16.1690875Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-07-17T07:12:16.1691001Z >>> return (x @ weight.t()) + bias 2025-07-17T07:12:16.1691082Z >>> 2025-07-17T07:12:16.1691185Z >>> @linear.register_fake 2025-07-17T07:12:16.1691299Z >>> def _(x, weight, bias): 2025-07-17T07:12:16.1691402Z >>> assert x.dim() == 2 2025-07-17T07:12:16.1691510Z >>> assert weight.dim() == 2 2025-07-17T07:12:16.1691627Z >>> assert bias.dim() == 1 2025-07-17T07:12:16.1691750Z >>> assert x.shape[1] == weight.shape[1] 2025-07-17T07:12:16.1691891Z >>> assert weight.shape[0] == bias.shape[0] 2025-07-17T07:12:16.1692012Z >>> assert x.device == weight.device 2025-07-17T07:12:16.1692181Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-07-17T07:12:16.1692275Z >>> 2025-07-17T07:12:16.1692377Z >>> x = torch.randn(2, 2) 2025-07-17T07:12:16.1692485Z >>> weight = torch.randn(2, 2) 2025-07-17T07:12:16.1692598Z >>> bias = torch.randn(2) 2025-07-17T07:12:16.1692730Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-07-17T07:12:16.1692922Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-07-17T07:12:16.1693066Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-07-17T07:12:16.1693309Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-07-17T07:12:16.1693405Z >>> 2025-07-17T07:12:16.1693579Z >>> # Example 2: an operator with data-dependent output shape 2025-07-17T07:12:16.1693799Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-07-17T07:12:16.1693931Z >>> def nonzero(x: Tensor) -> Tensor: 2025-07-17T07:12:16.1694035Z >>> x_np = x.cpu().numpy() 2025-07-17T07:12:16.1694165Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-07-17T07:12:16.1694310Z >>> return torch.tensor(res, device=x.device) 2025-07-17T07:12:16.1694390Z >>> 2025-07-17T07:12:16.1694509Z >>> @nonzero.register_fake 2025-07-17T07:12:16.1694648Z >>> def _(x): 2025-07-17T07:12:16.1694796Z >>> # Number of nonzero-elements is data-dependent. 2025-07-17T07:12:16.1694970Z >>> # Since we cannot peek at the data in an abstract impl, 2025-07-17T07:12:16.1695124Z >>> # we use the ctx object to construct a new symint that 2025-07-17T07:12:16.1695253Z >>> # represents the data-dependent size. 2025-07-17T07:12:16.1695383Z >>> ctx = torch.library.get_ctx() 2025-07-17T07:12:16.1695502Z >>> nnz = ctx.new_dynamic_size() 2025-07-17T07:12:16.1695620Z >>> shape = [nnz, x.dim()] 2025-07-17T07:12:16.1695765Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-07-17T07:12:16.1695861Z >>> return result 2025-07-17T07:12:16.1695954Z >>> 2025-07-17T07:12:16.1696070Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-07-17T07:12:16.1696206Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-07-17T07:12:16.1696364Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-07-17T07:12:16.1696495Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-07-17T07:12:16.1696624Z >>> assert torch.allclose(out, x.nonzero()) 2025-07-17T07:12:16.1696714Z 2025-07-17T07:12:16.1696793Z 2025-07-17T07:12:16.1697334Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-07-17T07:12:16.1697414Z 2025-07-17T07:12:16.1697495Z _._ = None 2025-07-17T07:12:16.1697583Z ^ 2025-07-17T07:12:16.1697677Z warnings.warn(msg) 2025-07-17T07:12:16.1697756Z 2025-07-17T07:12:16.1697962Z --- Parse Warning: 24 / 136 --- 2025-07-17T07:12:16.1698928Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/fake_profile.py line=94. 2025-07-17T07:12:16.1699286Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1699367Z 2025-07-17T07:12:16.1699592Z Registers a fake kernel based on the given operator profiles. This fake 2025-07-17T07:12:16.1699851Z kernel registration will override any existing fake kernel registrations. 2025-07-17T07:12:16.1699968Z 2025-07-17T07:12:16.1700175Z The input is a dictionary mapping operator names to a set of operator 2025-07-17T07:12:16.1700427Z profiles, which we will use to generate fake kernels. The operator profiles 2025-07-17T07:12:16.1700620Z are a record of the input and output tensor metadata. Based on this 2025-07-17T07:12:16.1700853Z information we will match a given input to the recorded profile, and return 2025-07-17T07:12:16.1701086Z an output with the same metadata as in the recorded profile. If a profile 2025-07-17T07:12:16.1701227Z doesn't exist then an exception will be thrown. 2025-07-17T07:12:16.1701320Z 2025-07-17T07:12:16.1701543Z The fake kernel generation is considered unsafe because it relies on the 2025-07-17T07:12:16.1701764Z rigid, pre-defined operator profiles that do not account for potential 2025-07-17T07:12:16.1702023Z variations in output behavior. Specifically, the generated kernels assume a 2025-07-17T07:12:16.1702300Z fixed relationship between input and output ranks. However, in reality, it's 2025-07-17T07:12:16.1702538Z possible that data-dependent operations may produce outputs of different 2025-07-17T07:12:16.1702767Z ranks even when given inputs of the same rank. The generated fake kernels 2025-07-17T07:12:16.1702977Z are inflexible and unable to accommodate these nuances, making them 2025-07-17T07:12:16.1703086Z potentially unsafe. 2025-07-17T07:12:16.1703163Z 2025-07-17T07:12:16.1703244Z Args: 2025-07-17T07:12:16.1703518Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-07-17T07:12:16.1703713Z name to a set of operator profiles from which we will generate fake 2025-07-17T07:12:16.1703795Z kernels. 2025-07-17T07:12:16.1703886Z 2025-07-17T07:12:16.1703969Z Examples: 2025-07-17T07:12:16.1704047Z 2025-07-17T07:12:16.1704226Z >>> # Example: Registering an op-profile from draft-export 2025-07-17T07:12:16.1704323Z >>> import torch 2025-07-17T07:12:16.1704500Z >>> from torch.export._draft_export import draft_export 2025-07-17T07:12:16.1704580Z >>> 2025-07-17T07:12:16.1704760Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-07-17T07:12:16.1704896Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-07-17T07:12:16.1704988Z >>> return x + y 2025-07-17T07:12:16.1705067Z >>> 2025-07-17T07:12:16.1705184Z >>> class M(torch.nn.Module): 2025-07-17T07:12:16.1705288Z >>> def forward(self, a, b): 2025-07-17T07:12:16.1705433Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-07-17T07:12:16.1705536Z >>> return res 2025-07-17T07:12:16.1705615Z >>> 2025-07-17T07:12:16.1705781Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-07-17T07:12:16.1705869Z >>> 2025-07-17T07:12:16.1706162Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-07-17T07:12:16.1706297Z >>> decomp = ep.run_decompositions() 2025-07-17T07:12:16.1706374Z 2025-07-17T07:12:16.1706449Z 2025-07-17T07:12:16.1706710Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1706787Z 2025-07-17T07:12:16.1706881Z warnings.warn(msg) 2025-07-17T07:12:16.1706970Z 2025-07-17T07:12:16.1707168Z --- Parse Warning: 25 / 136 --- 2025-07-17T07:12:16.1708025Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=triton_op in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=21. 2025-07-17T07:12:16.1708300Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1708550Z Create a custom operator whose implementation is backed by 1+ triton kernels. 2025-07-17T07:12:16.1708645Z 2025-07-17T07:12:16.1708850Z This is a more structured way of using triton kernels with PyTorch. 2025-07-17T07:12:16.1709134Z Prefer using triton kernels with no ``torch.library`` custom operator wrappers 2025-07-17T07:12:16.1709396Z (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because 2025-07-17T07:12:16.1709488Z that is simpler; 2025-07-17T07:12:16.1709750Z only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you 2025-07-17T07:12:16.1709973Z want to create an operator that behaves like PyTorch built-in operators. 2025-07-17T07:12:16.1710187Z For example, you may use a ``torch.library`` wrapper API to define the 2025-07-17T07:12:16.1710414Z behavior of the triton kernel when passed a tensor subclass or under 2025-07-17T07:12:16.1710517Z a TorchDispatchMode. 2025-07-17T07:12:16.1710595Z 2025-07-17T07:12:16.1710852Z Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op` 2025-07-17T07:12:16.1710979Z when the implementation 2025-07-17T07:12:16.1711192Z consists of 1+ triton kernels. :func:`torch.library.custom_op` treats 2025-07-17T07:12:16.1711372Z custom operators as opaque (:func:`torch.compile` and 2025-07-17T07:12:16.1711602Z :func:`torch.export.export` will never trace into them), but ``triton_op`` 2025-07-17T07:12:16.1711837Z makes the implementation visible to these subsystems, allowing them 2025-07-17T07:12:16.1711948Z to optimize the triton kernel(s). 2025-07-17T07:12:16.1712032Z 2025-07-17T07:12:16.1712279Z Note that ``fn`` must only consist of calls to PyTorch-understood 2025-07-17T07:12:16.1712503Z operators and triton kernels. Any triton kernels called inside ``fn`` 2025-07-17T07:12:16.1712691Z must be wrapped in a call to :func:`torch.library.wrap_triton`. 2025-07-17T07:12:16.1712786Z 2025-07-17T07:12:16.1712870Z Args: 2025-07-17T07:12:16.1713107Z name (str): A name for the custom op that looks like "{namespace}::{name}", 2025-07-17T07:12:16.1713319Z e.g. "mylib::my_linear". The name is used as the op's stable identifier 2025-07-17T07:12:16.1713484Z in PyTorch subsystems (e.g. torch.export, FX graphs). 2025-07-17T07:12:16.1713733Z To avoid name collisions, please use your project name as the namespace; 2025-07-17T07:12:16.1713937Z e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace. 2025-07-17T07:12:16.1714207Z mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates. 2025-07-17T07:12:16.1714451Z This MUST be accurate, otherwise, the behavior is undefined. If "unknown", 2025-07-17T07:12:16.1714710Z it pessimistically assumes that all inputs to the operator are being mutated. 2025-07-17T07:12:16.1714903Z schema (None | str): A schema string for the operator. If None 2025-07-17T07:12:16.1715106Z (recommended) we'll infer a schema for the operator from its type 2025-07-17T07:12:16.1715312Z annotations. We recommend letting us infer a schema unless you 2025-07-17T07:12:16.1715445Z have a specific reason not to. 2025-07-17T07:12:16.1715591Z Example: "(Tensor x, int y) -> (Tensor, Tensor)". 2025-07-17T07:12:16.1715682Z 2025-07-17T07:12:16.1715771Z Example:: 2025-07-17T07:12:16.1715850Z 2025-07-17T07:12:16.1715995Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-07-17T07:12:16.1716089Z >>> import torch 2025-07-17T07:12:16.1716240Z >>> from torch.library import triton_op, wrap_triton 2025-07-17T07:12:16.1716329Z >>> 2025-07-17T07:12:16.1716419Z >>> import triton 2025-07-17T07:12:16.1716536Z >>> from triton import language as tl 2025-07-17T07:12:16.1716627Z >>> 2025-07-17T07:12:16.1716715Z >>> @triton.jit 2025-07-17T07:12:16.1716807Z >>> def add_kernel( 2025-07-17T07:12:16.1716931Z >>> in_ptr0, 2025-07-17T07:12:16.1717016Z >>> in_ptr1, 2025-07-17T07:12:16.1717099Z >>> out_ptr, 2025-07-17T07:12:16.1717197Z >>> n_elements, 2025-07-17T07:12:16.1717307Z >>> BLOCK_SIZE: "tl.constexpr", 2025-07-17T07:12:16.1717397Z >>> ): 2025-07-17T07:12:16.1717505Z >>> pid = tl.program_id(axis=0) 2025-07-17T07:12:16.1717616Z >>> block_start = pid * BLOCK_SIZE 2025-07-17T07:12:16.1717779Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2025-07-17T07:12:16.1717885Z >>> mask = offsets < n_elements 2025-07-17T07:12:16.1718012Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2025-07-17T07:12:16.1718147Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2025-07-17T07:12:16.1718241Z >>> output = x + y 2025-07-17T07:12:16.1718396Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2025-07-17T07:12:16.1718500Z >>> 2025-07-17T07:12:16.1718628Z >>> @triton_op("mylib::add", mutates_args={}) 2025-07-17T07:12:16.1718819Z >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor: 2025-07-17T07:12:16.1718931Z >>> output = torch.empty_like(x) 2025-07-17T07:12:16.1719043Z >>> n_elements = output.numel() 2025-07-17T07:12:16.1719137Z >>> 2025-07-17T07:12:16.1719234Z >>> def grid(meta): 2025-07-17T07:12:16.1719463Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2025-07-17T07:12:16.1719557Z >>> 2025-07-17T07:12:16.1719734Z >>> # NB: we need to wrap the triton kernel in a call to wrap_triton 2025-07-17T07:12:16.1719933Z >>> wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16) 2025-07-17T07:12:16.1720027Z >>> return output 2025-07-17T07:12:16.1720107Z >>> 2025-07-17T07:12:16.1720212Z >>> @torch.compile 2025-07-17T07:12:16.1720306Z >>> def f(x, y): 2025-07-17T07:12:16.1720401Z >>> return add(x, y) 2025-07-17T07:12:16.1720492Z >>> 2025-07-17T07:12:16.1720606Z >>> x = torch.randn(3, device="cuda") 2025-07-17T07:12:16.1720718Z >>> y = torch.randn(3, device="cuda") 2025-07-17T07:12:16.1720809Z >>> 2025-07-17T07:12:16.1720896Z >>> z = f(x, y) 2025-07-17T07:12:16.1721008Z >>> assert torch.allclose(z, x + y) 2025-07-17T07:12:16.1721098Z 2025-07-17T07:12:16.1721180Z 2025-07-17T07:12:16.1721442Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1721520Z 2025-07-17T07:12:16.1721612Z warnings.warn(msg) 2025-07-17T07:12:16.1721703Z 2025-07-17T07:12:16.1721895Z --- Parse Warning: 26 / 136 --- 2025-07-17T07:12:16.1722763Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=wrap_triton in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_library/triton.py line=202. 2025-07-17T07:12:16.1723043Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1723230Z Allows capture of a triton kernel into a graph via make_fx or 2025-07-17T07:12:16.1723350Z non-strict ``torch.export``. 2025-07-17T07:12:16.1723429Z 2025-07-17T07:12:16.1723611Z These technologies perform Dispatcher-based tracing (via 2025-07-17T07:12:16.1723825Z ``__torch_dispatch__``) and cannot see calls to raw triton kernels. 2025-07-17T07:12:16.1724018Z The ``wrap_triton`` API wraps a triton kernel into a callable that 2025-07-17T07:12:16.1724133Z can actually be traced into a graph. 2025-07-17T07:12:16.1724225Z 2025-07-17T07:12:16.1724431Z Please use this API together with :func:`torch.library.triton_op`. 2025-07-17T07:12:16.1724511Z 2025-07-17T07:12:16.1724608Z Examples: 2025-07-17T07:12:16.1724717Z 2025-07-17T07:12:16.1724816Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.1724919Z >>> import torch 2025-07-17T07:12:16.1725009Z >>> import triton 2025-07-17T07:12:16.1725136Z >>> from triton import language as tl 2025-07-17T07:12:16.1725312Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-07-17T07:12:16.1725439Z >>> from torch.library import wrap_triton 2025-07-17T07:12:16.1725532Z >>> 2025-07-17T07:12:16.1725623Z >>> @triton.jit 2025-07-17T07:12:16.1725715Z >>> def add_kernel( 2025-07-17T07:12:16.1725814Z >>> in_ptr0, 2025-07-17T07:12:16.1725900Z >>> in_ptr1, 2025-07-17T07:12:16.1725985Z >>> out_ptr, 2025-07-17T07:12:16.1726090Z >>> n_elements, 2025-07-17T07:12:16.1726202Z >>> BLOCK_SIZE: "tl.constexpr", 2025-07-17T07:12:16.1726320Z >>> ): 2025-07-17T07:12:16.1726433Z >>> pid = tl.program_id(axis=0) 2025-07-17T07:12:16.1726544Z >>> block_start = pid * BLOCK_SIZE 2025-07-17T07:12:16.1726701Z >>> offsets = block_start + tl.arange(0, BLOCK_SIZE) 2025-07-17T07:12:16.1726809Z >>> mask = offsets < n_elements 2025-07-17T07:12:16.1726937Z >>> x = tl.load(in_ptr0 + offsets, mask=mask) 2025-07-17T07:12:16.1727072Z >>> y = tl.load(in_ptr1 + offsets, mask=mask) 2025-07-17T07:12:16.1727215Z >>> output = x + y 2025-07-17T07:12:16.1727358Z >>> tl.store(out_ptr + offsets, output, mask=mask) 2025-07-17T07:12:16.1727448Z >>> 2025-07-17T07:12:16.1727539Z >>> def add(x, y): 2025-07-17T07:12:16.1727665Z >>> output = torch.empty_like(x) 2025-07-17T07:12:16.1727774Z >>> n_elements = output.numel() 2025-07-17T07:12:16.1727853Z >>> 2025-07-17T07:12:16.1727963Z >>> def grid_fn(meta): 2025-07-17T07:12:16.1728130Z >>> return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),) 2025-07-17T07:12:16.1728210Z >>> 2025-07-17T07:12:16.1728412Z >>> wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16) 2025-07-17T07:12:16.1728505Z >>> return output 2025-07-17T07:12:16.1728582Z >>> 2025-07-17T07:12:16.1728706Z >>> x = torch.randn(3, device="cuda") 2025-07-17T07:12:16.1728815Z >>> y = torch.randn(3, device="cuda") 2025-07-17T07:12:16.1728928Z >>> gm = make_fx(add)(x, y) 2025-07-17T07:12:16.1729019Z >>> print(gm.code) 2025-07-17T07:12:16.1729125Z >>> # def forward(self, x_1, y_1): 2025-07-17T07:12:16.1729367Z >>> # empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False) 2025-07-17T07:12:16.1729607Z >>> # triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation( 2025-07-17T07:12:16.1729736Z >>> # kernel_idx = 0, constant_args_idx = 0, 2025-07-17T07:12:16.1729860Z >>> # grid = [(1, 1, 1)], kwargs = { 2025-07-17T07:12:16.1730010Z >>> # 'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like, 2025-07-17T07:12:16.1730142Z >>> # 'n_elements': 3, 'BLOCK_SIZE': 16 2025-07-17T07:12:16.1730227Z >>> # }) 2025-07-17T07:12:16.1730325Z >>> # return empty_like 2025-07-17T07:12:16.1730415Z 2025-07-17T07:12:16.1730492Z 2025-07-17T07:12:16.1730746Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1730836Z 2025-07-17T07:12:16.1730931Z warnings.warn(msg) 2025-07-17T07:12:16.1731008Z 2025-07-17T07:12:16.1731206Z --- Parse Warning: 27 / 136 --- 2025-07-17T07:12:16.1732127Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=print_assert_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=286. 2025-07-17T07:12:16.1732433Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1732510Z 2025-07-17T07:12:16.1732727Z Test if two objects are equal, and print an error message if test fails. 2025-07-17T07:12:16.1732814Z 2025-07-17T07:12:16.1732959Z The test is performed with ``actual == desired``. 2025-07-17T07:12:16.1733037Z 2025-07-17T07:12:16.1733136Z Parameters 2025-07-17T07:12:16.1733223Z ---------- 2025-07-17T07:12:16.1733313Z test_string : str 2025-07-17T07:12:16.1733450Z The message supplied to AssertionError. 2025-07-17T07:12:16.1733536Z actual : object 2025-07-17T07:12:16.1733684Z The object to test for equality against `desired`. 2025-07-17T07:12:16.1733786Z desired : object 2025-07-17T07:12:16.1733881Z The expected result. 2025-07-17T07:12:16.1733995Z 2025-07-17T07:12:16.1734079Z Examples 2025-07-17T07:12:16.1734160Z -------- 2025-07-17T07:12:16.1734282Z >>> np.testing.print_assert_equal( 2025-07-17T07:12:16.1734396Z ... "Test XYZ of func xyz", [0, 1], [0, 1] 2025-07-17T07:12:16.1734487Z ... ) # doctest: +SKIP 2025-07-17T07:12:16.1734610Z >>> np.testing.print_assert_equal( 2025-07-17T07:12:16.1734725Z ... "Test XYZ of func xyz", [0, 1], [0, 2] 2025-07-17T07:12:16.1734817Z ... ) # doctest: +SKIP 2025-07-17T07:12:16.1734946Z Traceback (most recent call last): 2025-07-17T07:12:16.1735074Z ... 2025-07-17T07:12:16.1735199Z AssertionError: Test XYZ of func xyz failed 2025-07-17T07:12:16.1735293Z ACTUAL: 2025-07-17T07:12:16.1735374Z [0, 1] 2025-07-17T07:12:16.1735454Z DESIRED: 2025-07-17T07:12:16.1735545Z [0, 2] 2025-07-17T07:12:16.1735623Z 2025-07-17T07:12:16.1735715Z 2025-07-17T07:12:16.1735965Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1736049Z 2025-07-17T07:12:16.1736158Z warnings.warn(msg) 2025-07-17T07:12:16.1736238Z 2025-07-17T07:12:16.1736422Z --- Parse Warning: 28 / 136 --- 2025-07-17T07:12:16.1737356Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=331. 2025-07-17T07:12:16.1737618Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1737714Z 2025-07-17T07:12:16.1737920Z Raises an AssertionError if two items are not equal up to desired 2025-07-17T07:12:16.1738008Z precision. 2025-07-17T07:12:16.1738102Z 2025-07-17T07:12:16.1738275Z .. note:: It is recommended to use one of `assert_allclose`, 2025-07-17T07:12:16.1738454Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-07-17T07:12:16.1738656Z instead of this function for more consistent floating point 2025-07-17T07:12:16.1738753Z comparisons. 2025-07-17T07:12:16.1738832Z 2025-07-17T07:12:16.1739139Z The test verifies that the elements of `actual` and `desired` satisfy. 2025-07-17T07:12:16.1739221Z 2025-07-17T07:12:16.1739381Z ``abs(desired-actual) < float64(1.5 * 10**(-decimal))`` 2025-07-17T07:12:16.1739475Z 2025-07-17T07:12:16.1739700Z That is a looser test than originally documented, but agrees with what the 2025-07-17T07:12:16.1739949Z actual implementation in `assert_array_almost_equal` did up to rounding 2025-07-17T07:12:16.1740180Z vagaries. An exception is raised at conflicting values. For ndarrays this 2025-07-17T07:12:16.1740295Z delegates to assert_array_almost_equal 2025-07-17T07:12:16.1740390Z 2025-07-17T07:12:16.1740475Z Parameters 2025-07-17T07:12:16.1740559Z ---------- 2025-07-17T07:12:16.1740665Z actual : array_like 2025-07-17T07:12:16.1740763Z The object to check. 2025-07-17T07:12:16.1740890Z desired : array_like 2025-07-17T07:12:16.1740994Z The expected object. 2025-07-17T07:12:16.1741090Z decimal : int, optional 2025-07-17T07:12:16.1741215Z Desired precision, default is 7. 2025-07-17T07:12:16.1741315Z err_msg : str, optional 2025-07-17T07:12:16.1741467Z The error message to be printed in case of failure. 2025-07-17T07:12:16.1741580Z verbose : bool, optional 2025-07-17T07:12:16.1741779Z If True, the conflicting values are appended to the error message. 2025-07-17T07:12:16.1741863Z 2025-07-17T07:12:16.1741959Z Raises 2025-07-17T07:12:16.1742039Z ------ 2025-07-17T07:12:16.1742124Z AssertionError 2025-07-17T07:12:16.1742325Z If actual and desired are not equal up to specified precision. 2025-07-17T07:12:16.1742402Z 2025-07-17T07:12:16.1742480Z See Also 2025-07-17T07:12:16.1742575Z -------- 2025-07-17T07:12:16.1742808Z assert_allclose: Compare two array_like objects for equality with desired 2025-07-17T07:12:16.1742973Z relative and/or absolute precision. 2025-07-17T07:12:16.1743178Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-07-17T07:12:16.1743257Z 2025-07-17T07:12:16.1743349Z Examples 2025-07-17T07:12:16.1743431Z -------- 2025-07-17T07:12:16.1743590Z >>> from torch._numpy.testing import assert_almost_equal 2025-07-17T07:12:16.1743733Z >>> assert_almost_equal(2.3333333333333, 2.33333334) 2025-07-17T07:12:16.1743949Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10) 2025-07-17T07:12:16.1744060Z Traceback (most recent call last): 2025-07-17T07:12:16.1744150Z ... 2025-07-17T07:12:16.1744239Z AssertionError: 2025-07-17T07:12:16.1744360Z Arrays are not almost equal to 10 decimals 2025-07-17T07:12:16.1744464Z ACTUAL: 2.3333333333333 2025-07-17T07:12:16.1744553Z DESIRED: 2.33333334 2025-07-17T07:12:16.1744648Z 2025-07-17T07:12:16.1744740Z >>> assert_almost_equal( 2025-07-17T07:12:16.1744941Z ... np.array([1.0, 2.3333333333333]), np.array([1.0, 2.33333334]), decimal=9 2025-07-17T07:12:16.1745031Z ... ) 2025-07-17T07:12:16.1745141Z Traceback (most recent call last): 2025-07-17T07:12:16.1745220Z ... 2025-07-17T07:12:16.1745325Z AssertionError: 2025-07-17T07:12:16.1745445Z Arrays are not almost equal to 9 decimals 2025-07-17T07:12:16.1745529Z 2025-07-17T07:12:16.1745646Z Mismatched elements: 1 / 2 (50%) 2025-07-17T07:12:16.1745778Z Max absolute difference: 6.666699636781459e-09 2025-07-17T07:12:16.1745904Z Max relative difference: 2.8571569790287484e-09 2025-07-17T07:12:16.1746050Z x: torch.ndarray([1.0000, 2.3333], dtype=float64) 2025-07-17T07:12:16.1746181Z y: torch.ndarray([1.0000, 2.3333], dtype=float64) 2025-07-17T07:12:16.1746269Z 2025-07-17T07:12:16.1746345Z 2025-07-17T07:12:16.1746599Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1746691Z 2025-07-17T07:12:16.1746785Z warnings.warn(msg) 2025-07-17T07:12:16.1746864Z 2025-07-17T07:12:16.1747074Z --- Parse Warning: 29 / 136 --- 2025-07-17T07:12:16.1747998Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_approx_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=457. 2025-07-17T07:12:16.1748272Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1748355Z 2025-07-17T07:12:16.1748575Z Raises an AssertionError if two items are not equal up to significant 2025-07-17T07:12:16.1748675Z digits. 2025-07-17T07:12:16.1748754Z 2025-07-17T07:12:16.1748926Z .. note:: It is recommended to use one of `assert_allclose`, 2025-07-17T07:12:16.1749117Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-07-17T07:12:16.1749300Z instead of this function for more consistent floating point 2025-07-17T07:12:16.1749427Z comparisons. 2025-07-17T07:12:16.1749518Z 2025-07-17T07:12:16.1749698Z Given two numbers, check that they are approximately equal. 2025-07-17T07:12:16.1749925Z Approximately equal is defined as the number of significant digits 2025-07-17T07:12:16.1750011Z that agree. 2025-07-17T07:12:16.1750088Z 2025-07-17T07:12:16.1750185Z Parameters 2025-07-17T07:12:16.1750267Z ---------- 2025-07-17T07:12:16.1750353Z actual : scalar 2025-07-17T07:12:16.1750464Z The object to check. 2025-07-17T07:12:16.1750550Z desired : scalar 2025-07-17T07:12:16.1750643Z The expected object. 2025-07-17T07:12:16.1750756Z significant : int, optional 2025-07-17T07:12:16.1750866Z Desired precision, default is 7. 2025-07-17T07:12:16.1750959Z err_msg : str, optional 2025-07-17T07:12:16.1751120Z The error message to be printed in case of failure. 2025-07-17T07:12:16.1751270Z verbose : bool, optional 2025-07-17T07:12:16.1751482Z If True, the conflicting values are appended to the error message. 2025-07-17T07:12:16.1751559Z 2025-07-17T07:12:16.1751639Z Raises 2025-07-17T07:12:16.1751734Z ------ 2025-07-17T07:12:16.1751823Z AssertionError 2025-07-17T07:12:16.1752011Z If actual and desired are not equal up to specified precision. 2025-07-17T07:12:16.1752104Z 2025-07-17T07:12:16.1752187Z See Also 2025-07-17T07:12:16.1752269Z -------- 2025-07-17T07:12:16.1752568Z assert_allclose: Compare two array_like objects for equality with desired 2025-07-17T07:12:16.1752693Z relative and/or absolute precision. 2025-07-17T07:12:16.1752896Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-07-17T07:12:16.1752984Z 2025-07-17T07:12:16.1753064Z Examples 2025-07-17T07:12:16.1753156Z -------- 2025-07-17T07:12:16.1753267Z >>> np.testing.assert_approx_equal( 2025-07-17T07:12:16.1753372Z ... 0.12345677777777e-20, 0.1234567e-20 2025-07-17T07:12:16.1753479Z ... ) # doctest: +SKIP 2025-07-17T07:12:16.1753592Z >>> np.testing.assert_approx_equal( 2025-07-17T07:12:16.1753679Z ... 0.12345670e-20, 2025-07-17T07:12:16.1753797Z ... 0.12345671e-20, # doctest: +SKIP 2025-07-17T07:12:16.1753889Z ... significant=8, 2025-07-17T07:12:16.1753968Z ... ) 2025-07-17T07:12:16.1754087Z >>> np.testing.assert_approx_equal( 2025-07-17T07:12:16.1754170Z ... 0.12345670e-20, 2025-07-17T07:12:16.1754276Z ... 0.12345672e-20, # doctest: +SKIP 2025-07-17T07:12:16.1754379Z ... significant=8, 2025-07-17T07:12:16.1754455Z ... ) 2025-07-17T07:12:16.1754575Z Traceback (most recent call last): 2025-07-17T07:12:16.1754653Z ... 2025-07-17T07:12:16.1754742Z AssertionError: 2025-07-17T07:12:16.1754880Z Items are not equal to 8 significant digits: 2025-07-17T07:12:16.1754973Z ACTUAL: 1.234567e-21 2025-07-17T07:12:16.1755064Z DESIRED: 1.2345672e-21 2025-07-17T07:12:16.1755155Z 2025-07-17T07:12:16.1755310Z the evaluated condition that raises the exception is 2025-07-17T07:12:16.1755388Z 2025-07-17T07:12:16.1755587Z >>> abs(0.12345670e-20 / 1e-21 - 0.12345672e-20 / 1e-21) >= 10 ** -(8 - 1) 2025-07-17T07:12:16.1755667Z True 2025-07-17T07:12:16.1755743Z 2025-07-17T07:12:16.1755833Z 2025-07-17T07:12:16.1756081Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1756173Z 2025-07-17T07:12:16.1756283Z warnings.warn(msg) 2025-07-17T07:12:16.1756360Z 2025-07-17T07:12:16.1756556Z --- Parse Warning: 30 / 136 --- 2025-07-17T07:12:16.1757474Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=744. 2025-07-17T07:12:16.1757735Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1757854Z 2025-07-17T07:12:16.1758058Z Raises an AssertionError if two array_like objects are not equal. 2025-07-17T07:12:16.1758139Z 2025-07-17T07:12:16.1758354Z Given two array_like objects, check that the shape is equal and all 2025-07-17T07:12:16.1758569Z elements of these objects are equal (but see the Notes for the special 2025-07-17T07:12:16.1758779Z handling of a scalar). An exception is raised at shape mismatch or 2025-07-17T07:12:16.1759001Z conflicting values. In contrast to the standard usage in numpy, NaNs 2025-07-17T07:12:16.1759218Z are compared like numbers, no assertion is raised if both objects have 2025-07-17T07:12:16.1759333Z NaNs in the same positions. 2025-07-17T07:12:16.1759409Z 2025-07-17T07:12:16.1759636Z The usual caution for verifying equality with floating point numbers is 2025-07-17T07:12:16.1759727Z advised. 2025-07-17T07:12:16.1759829Z 2025-07-17T07:12:16.1773521Z Parameters 2025-07-17T07:12:16.1773721Z ---------- 2025-07-17T07:12:16.1773813Z x : array_like 2025-07-17T07:12:16.1773923Z The actual object to check. 2025-07-17T07:12:16.1774026Z y : array_like 2025-07-17T07:12:16.1774143Z The desired, expected object. 2025-07-17T07:12:16.1774240Z err_msg : str, optional 2025-07-17T07:12:16.1774415Z The error message to be printed in case of failure. 2025-07-17T07:12:16.1774515Z verbose : bool, optional 2025-07-17T07:12:16.1774914Z If True, the conflicting values are appended to the error message. 2025-07-17T07:12:16.1775014Z strict : bool, optional 2025-07-17T07:12:16.1775212Z If True, raise an AssertionError when either the shape or the data 2025-07-17T07:12:16.1775402Z type of the array_like objects does not match. The special 2025-07-17T07:12:16.1775606Z handling for scalars mentioned in the Notes section is disabled. 2025-07-17T07:12:16.1775691Z 2025-07-17T07:12:16.1775788Z Raises 2025-07-17T07:12:16.1775873Z ------ 2025-07-17T07:12:16.1775964Z AssertionError 2025-07-17T07:12:16.1776110Z If actual and desired objects are not equal. 2025-07-17T07:12:16.1776189Z 2025-07-17T07:12:16.1776271Z See Also 2025-07-17T07:12:16.1776367Z -------- 2025-07-17T07:12:16.1776603Z assert_allclose: Compare two array_like objects for equality with desired 2025-07-17T07:12:16.1776743Z relative and/or absolute precision. 2025-07-17T07:12:16.1776953Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-07-17T07:12:16.1777030Z 2025-07-17T07:12:16.1777124Z Notes 2025-07-17T07:12:16.1777205Z ----- 2025-07-17T07:12:16.1777385Z When one of `x` and `y` is a scalar and the other is array_like, the 2025-07-17T07:12:16.1777616Z function checks that each element of the array_like object is equal to 2025-07-17T07:12:16.1777837Z the scalar. This behaviour can be disabled with the `strict` parameter. 2025-07-17T07:12:16.1777920Z 2025-07-17T07:12:16.1778014Z Examples 2025-07-17T07:12:16.1778099Z -------- 2025-07-17T07:12:16.1778245Z The first assert does not raise an exception: 2025-07-17T07:12:16.1778323Z 2025-07-17T07:12:16.1778434Z >>> np.testing.assert_array_equal( 2025-07-17T07:12:16.1778587Z ... [1.0, 2.33333, np.nan], [np.exp(0), 2.33333, np.nan] 2025-07-17T07:12:16.1778665Z ... ) 2025-07-17T07:12:16.1778742Z 2025-07-17T07:12:16.1778979Z Use `assert_allclose` or one of the nulp (number of floating point values) 2025-07-17T07:12:16.1779203Z functions for these cases instead: 2025-07-17T07:12:16.1779285Z 2025-07-17T07:12:16.1779406Z >>> np.testing.assert_allclose( 2025-07-17T07:12:16.1779596Z ... [1.0, np.pi, np.nan], [1, np.sqrt(np.pi) ** 2, np.nan], rtol=1e-10, atol=0 2025-07-17T07:12:16.1779677Z ... ) 2025-07-17T07:12:16.1779768Z 2025-07-17T07:12:16.1779969Z As mentioned in the Notes section, `assert_array_equal` has special 2025-07-17T07:12:16.1780257Z handling for scalars. Here the test checks that each value in `x` is 3: 2025-07-17T07:12:16.1780334Z 2025-07-17T07:12:16.1780437Z >>> x = np.full((2, 5), fill_value=3) 2025-07-17T07:12:16.1780565Z >>> np.testing.assert_array_equal(x, 3) 2025-07-17T07:12:16.1780641Z 2025-07-17T07:12:16.1780852Z Use `strict` to raise an AssertionError when comparing a scalar with an 2025-07-17T07:12:16.1780945Z array: 2025-07-17T07:12:16.1781022Z 2025-07-17T07:12:16.1781172Z >>> np.testing.assert_array_equal(x, 3, strict=True) 2025-07-17T07:12:16.1781294Z Traceback (most recent call last): 2025-07-17T07:12:16.1781377Z ... 2025-07-17T07:12:16.1781514Z AssertionError: 2025-07-17T07:12:16.1781652Z Arrays are not equal 2025-07-17T07:12:16.1781771Z 2025-07-17T07:12:16.1781923Z (shapes (2, 5), () mismatch) 2025-07-17T07:12:16.1782413Z x: torch.ndarray([[3, 3, 3, 3, 3], 2025-07-17T07:12:16.1782953Z [3, 3, 3, 3, 3]]) 2025-07-17T07:12:16.1783405Z y: torch.ndarray(3) 2025-07-17T07:12:16.1783843Z 2025-07-17T07:12:16.1784382Z The `strict` parameter also ensures that the array data types match: 2025-07-17T07:12:16.1784939Z 2025-07-17T07:12:16.1785205Z >>> x = np.array([2, 2, 2]) 2025-07-17T07:12:16.1785663Z >>> y = np.array([2.0, 2.0, 2.0], dtype=np.float32) 2025-07-17T07:12:16.1786320Z >>> np.testing.assert_array_equal(x, y, strict=True) 2025-07-17T07:12:16.1786975Z Traceback (most recent call last): 2025-07-17T07:12:16.1787489Z ... 2025-07-17T07:12:16.1788003Z AssertionError: 2025-07-17T07:12:16.1788442Z Arrays are not equal 2025-07-17T07:12:16.1788880Z 2025-07-17T07:12:16.1789392Z (dtypes dtype("int64"), dtype("float32") mismatch) 2025-07-17T07:12:16.1790031Z x: torch.ndarray([2, 2, 2]) 2025-07-17T07:12:16.1790565Z y: torch.ndarray([2., 2., 2.]) 2025-07-17T07:12:16.1791061Z 2025-07-17T07:12:16.1791750Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1792571Z 2025-07-17T07:12:16.1792939Z warnings.warn(msg) 2025-07-17T07:12:16.1793382Z 2025-07-17T07:12:16.1793881Z --- Parse Warning: 31 / 136 --- 2025-07-17T07:12:16.1795994Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_almost_equal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=851. 2025-07-17T07:12:16.1797933Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1798404Z 2025-07-17T07:12:16.1798723Z Raises an AssertionError if two objects are not equal up to desired 2025-07-17T07:12:16.1799146Z precision. 2025-07-17T07:12:16.1799366Z 2025-07-17T07:12:16.1799650Z .. note:: It is recommended to use one of `assert_allclose`, 2025-07-17T07:12:16.1800124Z `assert_array_almost_equal_nulp` or `assert_array_max_ulp` 2025-07-17T07:12:16.1800613Z instead of this function for more consistent floating point 2025-07-17T07:12:16.1801018Z comparisons. 2025-07-17T07:12:16.1801258Z 2025-07-17T07:12:16.1801609Z The test verifies identical shapes and that the elements of ``actual`` and 2025-07-17T07:12:16.1802068Z ``desired`` satisfy. 2025-07-17T07:12:16.1802307Z 2025-07-17T07:12:16.1802552Z ``abs(desired-actual) < 1.5 * 10**(-decimal)`` 2025-07-17T07:12:16.1802877Z 2025-07-17T07:12:16.1803313Z That is a looser test than originally documented, but agrees with what the 2025-07-17T07:12:16.1803934Z actual implementation did up to rounding vagaries. An exception is raised 2025-07-17T07:12:16.1804551Z at shape mismatch or conflicting values. In contrast to the standard usage 2025-07-17T07:12:16.1805250Z in numpy, NaNs are compared like numbers, no assertion is raised if both 2025-07-17T07:12:16.1805779Z objects have NaNs in the same positions. 2025-07-17T07:12:16.1806172Z 2025-07-17T07:12:16.1806377Z Parameters 2025-07-17T07:12:16.1806593Z ---------- 2025-07-17T07:12:16.1806820Z x : array_like 2025-07-17T07:12:16.1807073Z The actual object to check. 2025-07-17T07:12:16.1807350Z y : array_like 2025-07-17T07:12:16.1807602Z The desired, expected object. 2025-07-17T07:12:16.1807914Z decimal : int, optional 2025-07-17T07:12:16.1808192Z Desired precision, default is 6. 2025-07-17T07:12:16.1808510Z err_msg : str, optional 2025-07-17T07:12:16.1808841Z The error message to be printed in case of failure. 2025-07-17T07:12:16.1809212Z verbose : bool, optional 2025-07-17T07:12:16.1809598Z If True, the conflicting values are appended to the error message. 2025-07-17T07:12:16.1809988Z 2025-07-17T07:12:16.1810181Z Raises 2025-07-17T07:12:16.1810385Z ------ 2025-07-17T07:12:16.1810582Z AssertionError 2025-07-17T07:12:16.1810952Z If actual and desired are not equal up to specified precision. 2025-07-17T07:12:16.1811344Z 2025-07-17T07:12:16.1811528Z See Also 2025-07-17T07:12:16.1811768Z -------- 2025-07-17T07:12:16.1812148Z assert_allclose: Compare two array_like objects for equality with desired 2025-07-17T07:12:16.1812624Z relative and/or absolute precision. 2025-07-17T07:12:16.1813071Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal 2025-07-17T07:12:16.1813531Z 2025-07-17T07:12:16.1813720Z Examples 2025-07-17T07:12:16.1813928Z -------- 2025-07-17T07:12:16.1814253Z the first assert does not raise an exception 2025-07-17T07:12:16.1814623Z 2025-07-17T07:12:16.1814988Z >>> np.testing.assert_array_almost_equal([1.0, 2.333, np.nan], [1.0, 2.333, np.nan]) 2025-07-17T07:12:16.1815443Z 2025-07-17T07:12:16.1815678Z >>> np.testing.assert_array_almost_equal( 2025-07-17T07:12:16.1816050Z ... [1.0, 2.33333, np.nan], [1.0, 2.33339, np.nan], decimal=5 2025-07-17T07:12:16.1816402Z ... ) 2025-07-17T07:12:16.1816635Z Traceback (most recent call last): 2025-07-17T07:12:16.1816918Z ... 2025-07-17T07:12:16.1817127Z AssertionError: 2025-07-17T07:12:16.1817392Z Arrays are not almost equal to 5 decimals 2025-07-17T07:12:16.1817696Z 2025-07-17T07:12:16.1817940Z Mismatched elements: 1 / 3 (33.3%) 2025-07-17T07:12:16.1818280Z Max absolute difference: 5.999999999994898e-05 2025-07-17T07:12:16.1818638Z Max relative difference: 2.5713661239633743e-05 2025-07-17T07:12:16.1819047Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2025-07-17T07:12:16.1819562Z y: torch.ndarray([1.0000, 2.3334, nan], dtype=float64) 2025-07-17T07:12:16.1819916Z 2025-07-17T07:12:16.1820139Z >>> np.testing.assert_array_almost_equal( 2025-07-17T07:12:16.1820504Z ... [1.0, 2.33333, np.nan], [1.0, 2.33333, 5], decimal=5 2025-07-17T07:12:16.1820835Z ... ) 2025-07-17T07:12:16.1821052Z Traceback (most recent call last): 2025-07-17T07:12:16.1821345Z ... 2025-07-17T07:12:16.1821558Z AssertionError: 2025-07-17T07:12:16.1821811Z Arrays are not almost equal to 5 decimals 2025-07-17T07:12:16.1822124Z 2025-07-17T07:12:16.1822364Z x and y nan location mismatch: 2025-07-17T07:12:16.1822711Z x: torch.ndarray([1.0000, 2.3333, nan], dtype=float64) 2025-07-17T07:12:16.1823140Z y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64) 2025-07-17T07:12:16.1823490Z 2025-07-17T07:12:16.1823669Z 2025-07-17T07:12:16.1824035Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1824488Z 2025-07-17T07:12:16.1824697Z warnings.warn(msg) 2025-07-17T07:12:16.1824930Z 2025-07-17T07:12:16.1825277Z --- Parse Warning: 32 / 136 --- 2025-07-17T07:12:16.1826474Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=clear_and_catch_warnings in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_numpy/testing/utils.py line=1848. 2025-07-17T07:12:16.1827928Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1828530Z Context manager that resets warning registry for catching warnings 2025-07-17T07:12:16.1828939Z 2025-07-17T07:12:16.1829294Z Warnings can be slippery, because, whenever a warning is triggered, Python 2025-07-17T07:12:16.1829873Z adds a ``__warningregistry__`` member to the *calling* module. This makes 2025-07-17T07:12:16.1830467Z it impossible to retrigger the warning in this module, whatever you put in 2025-07-17T07:12:16.1831068Z the warnings filters. This context manager accepts a sequence of `modules` 2025-07-17T07:12:16.1831559Z as a keyword argument to its constructor and: 2025-07-17T07:12:16.1831889Z 2025-07-17T07:12:16.1832226Z * stores and removes any ``__warningregistry__`` entries in given `modules` 2025-07-17T07:12:16.1832679Z on entry; 2025-07-17T07:12:16.1833013Z * resets ``__warningregistry__`` to its previous state on exit. 2025-07-17T07:12:16.1833394Z 2025-07-17T07:12:16.1833725Z This makes it possible to trigger any warning afresh inside the context 2025-07-17T07:12:16.1834235Z manager without disturbing the state of warnings outside. 2025-07-17T07:12:16.1834610Z 2025-07-17T07:12:16.1834949Z For compatibility with Python 3.0, please consider all arguments to be 2025-07-17T07:12:16.1835378Z keyword-only. 2025-07-17T07:12:16.1835668Z 2025-07-17T07:12:16.1835865Z Parameters 2025-07-17T07:12:16.1836081Z ---------- 2025-07-17T07:12:16.1836315Z record : bool, optional 2025-07-17T07:12:16.1836685Z Specifies whether warnings should be captured by a custom 2025-07-17T07:12:16.1837211Z implementation of ``warnings.showwarning()`` and be appended to a list 2025-07-17T07:12:16.1837781Z returned by the context manager. Otherwise None is returned by the 2025-07-17T07:12:16.1838337Z context manager. The objects appended to the list are arguments whose 2025-07-17T07:12:16.1838854Z attributes mirror the arguments to ``showwarning()``. 2025-07-17T07:12:16.1839232Z modules : sequence, optional 2025-07-17T07:12:16.1839655Z Sequence of modules for which to reset warnings registry on entry and 2025-07-17T07:12:16.1840185Z restore on exit. To work correctly, all 'ignore' filters should 2025-07-17T07:12:16.1840596Z filter by one of these modules. 2025-07-17T07:12:16.1840894Z 2025-07-17T07:12:16.1841087Z Examples 2025-07-17T07:12:16.1841295Z -------- 2025-07-17T07:12:16.1841525Z >>> import warnings 2025-07-17T07:12:16.1841884Z >>> with np.testing.clear_and_catch_warnings( # doctest: +SKIP 2025-07-17T07:12:16.1842304Z ... modules=[np.core.fromnumeric] 2025-07-17T07:12:16.1842597Z ... ): 2025-07-17T07:12:16.1842897Z ... warnings.simplefilter("always") 2025-07-17T07:12:16.1843357Z ... warnings.filterwarnings("ignore", module="np.core.fromnumeric") 2025-07-17T07:12:16.1843857Z ... # do something that raises a warning but ignore those in 2025-07-17T07:12:16.1844252Z ... # np.core.fromnumeric 2025-07-17T07:12:16.1844536Z 2025-07-17T07:12:16.1844892Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1845341Z 2025-07-17T07:12:16.1845547Z warnings.warn(msg) 2025-07-17T07:12:16.1845786Z 2025-07-17T07:12:16.1846099Z --- Parse Warning: 33 / 136 --- 2025-07-17T07:12:16.1847255Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Conv1d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/conv.py line=354. 2025-07-17T07:12:16.1848548Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1849175Z Applies a 1D convolution over a quantized input signal composed of 2025-07-17T07:12:16.1849623Z several quantized input planes. 2025-07-17T07:12:16.1849928Z 2025-07-17T07:12:16.1850255Z For details on input arguments, parameters, and implementation see 2025-07-17T07:12:16.1850683Z :class:`~torch.nn.Conv1d`. 2025-07-17T07:12:16.1850973Z 2025-07-17T07:12:16.1851179Z .. note:: 2025-07-17T07:12:16.1851511Z Only `zeros` is supported for the :attr:`padding_mode` argument. 2025-07-17T07:12:16.1851907Z 2025-07-17T07:12:16.1852095Z .. note:: 2025-07-17T07:12:16.1852397Z Only `torch.quint8` is supported for the input data type. 2025-07-17T07:12:16.1852772Z 2025-07-17T07:12:16.1852961Z 2025-07-17T07:12:16.1853143Z Attributes: 2025-07-17T07:12:16.1853501Z weight (Tensor): packed tensor derived from the learnable weight 2025-07-17T07:12:16.1853959Z parameter. 2025-07-17T07:12:16.1854305Z scale (Tensor): scalar for the output scale 2025-07-17T07:12:16.1854722Z zero_point (Tensor): scalar for the output zero point 2025-07-17T07:12:16.1855076Z 2025-07-17T07:12:16.1855339Z See :class:`~torch.nn.Conv1d` for other attributes. 2025-07-17T07:12:16.1855673Z 2025-07-17T07:12:16.1855876Z Examples:: 2025-07-17T07:12:16.1856099Z 2025-07-17T07:12:16.1856339Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE) 2025-07-17T07:12:16.1856788Z >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2) 2025-07-17T07:12:16.1857150Z >>> input = torch.randn(20, 16, 100) 2025-07-17T07:12:16.1857476Z >>> # quantize input to quint8 2025-07-17T07:12:16.1857794Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.1858193Z >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0, 2025-07-17T07:12:16.1858648Z ... dtype=torch.quint8) 2025-07-17T07:12:16.1858992Z >>> output = m(q_input) 2025-07-17T07:12:16.1859357Z 2025-07-17T07:12:16.1859545Z 2025-07-17T07:12:16.1859903Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1860356Z 2025-07-17T07:12:16.1860568Z warnings.warn(msg) 2025-07-17T07:12:16.1860803Z 2025-07-17T07:12:16.1861118Z --- Parse Warning: 34 / 136 --- 2025-07-17T07:12:16.1862261Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LSTM in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/nn/quantized/modules/rnn.py line=12. 2025-07-17T07:12:16.1863514Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1864029Z A quantized long short-term memory (LSTM). 2025-07-17T07:12:16.1864353Z 2025-07-17T07:12:16.1864740Z For the description and the argument types, please, refer to :class:`~torch.nn.LSTM` 2025-07-17T07:12:16.1865206Z 2025-07-17T07:12:16.1865404Z Attributes: 2025-07-17T07:12:16.1865671Z layers : instances of the `_LSTMLayer` 2025-07-17T07:12:16.1865975Z 2025-07-17T07:12:16.1866170Z .. note:: 2025-07-17T07:12:16.1866522Z To access the weights and biases, you need to access them per layer. 2025-07-17T07:12:16.1867019Z See examples in :class:`~torch.ao.nn.quantizable.LSTM` 2025-07-17T07:12:16.1867389Z 2025-07-17T07:12:16.1867596Z Examples:: 2025-07-17T07:12:16.1867824Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.1868124Z >>> custom_module_config = { 2025-07-17T07:12:16.1868480Z ... 'float_to_observed_custom_module_class': { 2025-07-17T07:12:16.1868864Z ... nn.LSTM: nn.quantizable.LSTM, 2025-07-17T07:12:16.1869172Z ... }, 2025-07-17T07:12:16.1869652Z ... 'observed_to_quantized_custom_module_class': { 2025-07-17T07:12:16.1870162Z ... nn.quantizable.LSTM: nn.quantized.LSTM, 2025-07-17T07:12:16.1870492Z ... } 2025-07-17T07:12:16.1870725Z ... } 2025-07-17T07:12:16.1871083Z >>> tq.prepare(model, prepare_custom_module_class=custom_module_config) 2025-07-17T07:12:16.1871626Z >>> tq.convert(model, convert_custom_module_class=custom_module_config) 2025-07-17T07:12:16.1872049Z 2025-07-17T07:12:16.1872420Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1872870Z 2025-07-17T07:12:16.1873066Z warnings.warn(msg) 2025-07-17T07:12:16.1873312Z 2025-07-17T07:12:16.1873625Z --- Parse Warning: 35 / 136 --- 2025-07-17T07:12:16.1875034Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-07-17T07:12:16.1876645Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1877108Z 2025-07-17T07:12:16.1877482Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-07-17T07:12:16.1878082Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-07-17T07:12:16.1878759Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-07-17T07:12:16.1879219Z input by the user. 2025-07-17T07:12:16.1879588Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-07-17T07:12:16.1880085Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-07-17T07:12:16.1880437Z 2025-07-17T07:12:16.1880623Z Note:: 2025-07-17T07:12:16.1881065Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-07-17T07:12:16.1881587Z 2025-07-17T07:12:16.1881780Z Args: 2025-07-17T07:12:16.1881981Z model (nn.Module): 2025-07-17T07:12:16.1882375Z The model whose layers will be sparsified. The layers that needs to be 2025-07-17T07:12:16.1882959Z sparsified should be added separately using the register_layer() function 2025-07-17T07:12:16.1883439Z aggregate_fn (Optional, Callable): 2025-07-17T07:12:16.1883908Z default aggregate_fn that is used if not specified while registering the layer. 2025-07-17T07:12:16.1884456Z specifies how inputs should be aggregated over time. 2025-07-17T07:12:16.1885026Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-07-17T07:12:16.1885515Z Example 2025-07-17T07:12:16.1885821Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-07-17T07:12:16.1886231Z reduce_fn (Optional, Callable): 2025-07-17T07:12:16.1886712Z default reduce_fn that is used if not specified while registering the layer. 2025-07-17T07:12:16.1887321Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-07-17T07:12:16.1887817Z calling agg_fn() on all inputs. 2025-07-17T07:12:16.1888140Z Example 2025-07-17T07:12:16.1888509Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-07-17T07:12:16.1888930Z mask_fn (Optional, Callable): 2025-07-17T07:12:16.1889465Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-07-17T07:12:16.1890148Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-07-17T07:12:16.1890614Z register_layer(). 2025-07-17T07:12:16.1891164Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-07-17T07:12:16.1891756Z arguments. 2025-07-17T07:12:16.1892045Z features (Optional, list): 2025-07-17T07:12:16.1892384Z default selected features to sparsify. 2025-07-17T07:12:16.1892899Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-07-17T07:12:16.1893386Z For example, 2025-07-17T07:12:16.1893817Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-07-17T07:12:16.1894305Z feature_dim (Optional, int): 2025-07-17T07:12:16.1894806Z default dimension of input features. Again, features along this dim will be chosen 2025-07-17T07:12:16.1895308Z for sparsification. 2025-07-17T07:12:16.1895614Z sparse_config (Dict): 2025-07-17T07:12:16.1896038Z Default configuration for the mask_fn. This config will be passed 2025-07-17T07:12:16.1896510Z with the mask_fn() 2025-07-17T07:12:16.1896782Z 2025-07-17T07:12:16.1896972Z Example: 2025-07-17T07:12:16.1897197Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.1897464Z >>> model = SomeModel() 2025-07-17T07:12:16.1897890Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-07-17T07:12:16.1898360Z >>> # Initialize aggregate_fn 2025-07-17T07:12:16.1898650Z >>> def agg_fn(x, y): 2025-07-17T07:12:16.1898994Z >>> return x + y 2025-07-17T07:12:16.1899349Z >>> 2025-07-17T07:12:16.1899576Z >>> # Initialize reduce_fn 2025-07-17T07:12:16.1899855Z >>> def reduce_fn(x): 2025-07-17T07:12:16.1900152Z >>> return torch.mean(x, dim=0) 2025-07-17T07:12:16.1900457Z >>> 2025-07-17T07:12:16.1900665Z >>> # Initialize mask_fn 2025-07-17T07:12:16.1900954Z >>> def mask_fn(data): 2025-07-17T07:12:16.1901283Z >>> return torch.eye(data.shape).to(data.device) 2025-07-17T07:12:16.1901614Z >>> 2025-07-17T07:12:16.1901813Z >>> 2025-07-17T07:12:16.1902046Z >>> act_sparsifier.register_layer( 2025-07-17T07:12:16.1902356Z ... model.some_layer, 2025-07-17T07:12:16.1902645Z ... aggregate_fn=agg_fn, 2025-07-17T07:12:16.1902943Z ... reduce_fn=reduce_fn, 2025-07-17T07:12:16.1903224Z ... mask_fn=mask_fn, 2025-07-17T07:12:16.1903488Z ... ) 2025-07-17T07:12:16.1903696Z >>> 2025-07-17T07:12:16.1903907Z >>> # start training process 2025-07-17T07:12:16.1904200Z >>> for _ in [...]: 2025-07-17T07:12:16.1904463Z >>> # epoch starts 2025-07-17T07:12:16.1904806Z >>> # model.forward(), compute_loss() and model.backwards() 2025-07-17T07:12:16.1905172Z >>> # epoch ends 2025-07-17T07:12:16.1905448Z >>> act_sparsifier.step() 2025-07-17T07:12:16.1905761Z >>> # end training process 2025-07-17T07:12:16.1906056Z >>> sparsifier.squash_mask() 2025-07-17T07:12:16.1906347Z 2025-07-17T07:12:16.1906710Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1907150Z 2025-07-17T07:12:16.1907356Z warnings.warn(msg) 2025-07-17T07:12:16.1907602Z 2025-07-17T07:12:16.1907922Z --- Parse Warning: 36 / 136 --- 2025-07-17T07:12:16.1909370Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseDataScheduler.get_schedule_param in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py line=91. 2025-07-17T07:12:16.1910944Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1911411Z 2025-07-17T07:12:16.1911708Z Abstract method that needs to be implemented by the child class. 2025-07-17T07:12:16.1912285Z The expected return type should is a dictionary of name to schedule_param value 2025-07-17T07:12:16.1912986Z The returned values will be updated in sparsifier when the scheduler step() function 2025-07-17T07:12:16.1913467Z is called. 2025-07-17T07:12:16.1913671Z 2025-07-17T07:12:16.1913869Z Example: 2025-07-17T07:12:16.1914110Z >>> def get_schedule_param(self): 2025-07-17T07:12:16.1914426Z ... new_param = {} 2025-07-17T07:12:16.1914767Z ... for name in self.sparsifier.data_groups.keys(): 2025-07-17T07:12:16.1915142Z ... new_param[name] = ( 2025-07-17T07:12:16.1915568Z ... self.sparsifier.data_groups[name][self.schedule_param] * 0.5 2025-07-17T07:12:16.1915969Z ... ) 2025-07-17T07:12:16.1916217Z ... return new_param 2025-07-17T07:12:16.1916487Z 2025-07-17T07:12:16.1916926Z When the step() function is called, the value in self.sparsifier.data_groups[name][self.schedule_param] 2025-07-17T07:12:16.1917511Z would be halved 2025-07-17T07:12:16.1917740Z 2025-07-17T07:12:16.1918091Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1918544Z 2025-07-17T07:12:16.1918755Z warnings.warn(msg) 2025-07-17T07:12:16.1918992Z 2025-07-17T07:12:16.1919296Z --- Parse Warning: 37 / 136 --- 2025-07-17T07:12:16.1920651Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229. 2025-07-17T07:12:16.1922095Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1922639Z Squashes the sparse masks into the appropriate tensors. 2025-07-17T07:12:16.1923017Z 2025-07-17T07:12:16.1923333Z If either the `params_to_keep` or `params_to_keep_per_layer` is set, 2025-07-17T07:12:16.1923848Z the module will have a `sparse_params` dict attached to it. 2025-07-17T07:12:16.1924221Z 2025-07-17T07:12:16.1924420Z Args: 2025-07-17T07:12:16.1924747Z params_to_keep: List of keys to save in the module or a dict 2025-07-17T07:12:16.1925196Z representing the modules and keys that will have 2025-07-17T07:12:16.1925596Z sparsity parameters saved 2025-07-17T07:12:16.1926046Z params_to_keep_per_layer: Dict to specify the params that should be 2025-07-17T07:12:16.1926525Z saved for specific layers. The keys in the dict 2025-07-17T07:12:16.1926950Z should be the module fqn, while the values should 2025-07-17T07:12:16.1927388Z be a list of strings with the names of the variables 2025-07-17T07:12:16.1927793Z to save in the `sparse_params` 2025-07-17T07:12:16.1928104Z 2025-07-17T07:12:16.1928304Z Examples: 2025-07-17T07:12:16.1928589Z >>> # xdoctest: +SKIP("locals are undefined") 2025-07-17T07:12:16.1928943Z >>> # Don't save any sparse params 2025-07-17T07:12:16.1929287Z >>> sparsifier.squash_mask() 2025-07-17T07:12:16.1929649Z >>> hasattr(model.submodule1, "sparse_params") 2025-07-17T07:12:16.1929975Z False 2025-07-17T07:12:16.1930200Z 2025-07-17T07:12:16.1930427Z >>> # Keep sparse params per layer 2025-07-17T07:12:16.1930776Z >>> sparsifier.squash_mask( 2025-07-17T07:12:16.1931099Z ... params_to_keep_per_layer={ 2025-07-17T07:12:16.1931457Z ... "submodule1.linear1": ("foo", "bar"), 2025-07-17T07:12:16.1931832Z ... "submodule2.linear42": ("baz",), 2025-07-17T07:12:16.1932148Z ... } 2025-07-17T07:12:16.1932387Z ... ) 2025-07-17T07:12:16.1932691Z >>> print(model.submodule1.linear1.sparse_params) 2025-07-17T07:12:16.1933087Z {'foo': 42, 'bar': 24} 2025-07-17T07:12:16.1933447Z >>> print(model.submodule2.linear42.sparse_params) 2025-07-17T07:12:16.1933812Z {'baz': 0.1} 2025-07-17T07:12:16.1934054Z 2025-07-17T07:12:16.1934293Z >>> # Keep sparse params for all layers 2025-07-17T07:12:16.1934705Z >>> sparsifier.squash_mask(params_to_keep=("foo", "bar")) 2025-07-17T07:12:16.1935157Z >>> print(model.submodule1.linear1.sparse_params) 2025-07-17T07:12:16.1935513Z {'foo': 42, 'bar': 24} 2025-07-17T07:12:16.1935873Z >>> print(model.submodule2.linear42.sparse_params) 2025-07-17T07:12:16.1936241Z {'foo': 42, 'bar': 24} 2025-07-17T07:12:16.1936508Z 2025-07-17T07:12:16.1936815Z >>> # Keep some sparse params for all layers, and specific ones for 2025-07-17T07:12:16.1937263Z >>> # some other layers 2025-07-17T07:12:16.1937574Z >>> sparsifier.squash_mask( 2025-07-17T07:12:16.1937916Z ... params_to_keep=("foo", "bar"), 2025-07-17T07:12:16.1938334Z ... params_to_keep_per_layer={"submodule2.linear42": ("baz",)}, 2025-07-17T07:12:16.1938730Z ... ) 2025-07-17T07:12:16.1939021Z >>> print(model.submodule1.linear1.sparse_params) 2025-07-17T07:12:16.1939478Z {'foo': 42, 'bar': 24} 2025-07-17T07:12:16.1939895Z >>> print(model.submodule2.linear42.sparse_params) 2025-07-17T07:12:16.1940264Z {'foo': 42, 'bar': 24, 'baz': 0.1} 2025-07-17T07:12:16.1940565Z 2025-07-17T07:12:16.1940944Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1941384Z 2025-07-17T07:12:16.1941591Z warnings.warn(msg) 2025-07-17T07:12:16.1941839Z 2025-07-17T07:12:16.1942144Z --- Parse Warning: 38 / 136 --- 2025-07-17T07:12:16.1943425Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DTypeConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181. 2025-07-17T07:12:16.1944826Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1945286Z 2025-07-17T07:12:16.1945635Z Config object that specifies the supported data types passed as arguments to 2025-07-17T07:12:16.1946245Z quantize ops in the reference model spec, for input and output activations, 2025-07-17T07:12:16.1946701Z weights, and biases. 2025-07-17T07:12:16.1946951Z 2025-07-17T07:12:16.1947208Z For example, consider the following reference model: 2025-07-17T07:12:16.1947562Z 2025-07-17T07:12:16.1947830Z quant1 - [dequant1 - fp32_linear - quant2] - dequant2 2025-07-17T07:12:16.1948174Z 2025-07-17T07:12:16.1948494Z The pattern in the square brackets refers to the reference pattern of 2025-07-17T07:12:16.1949064Z statically quantized linear. Setting the input dtype as `torch.quint8` 2025-07-17T07:12:16.1949632Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument 2025-07-17T07:12:16.1950193Z to the first quantize op (quant1). Similarly, setting the output dtype as 2025-07-17T07:12:16.1950757Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to 2025-07-17T07:12:16.1951205Z the second quantize op (quant2). 2025-07-17T07:12:16.1951490Z 2025-07-17T07:12:16.1951815Z Note that the dtype here does not refer to the interface dtypes of the 2025-07-17T07:12:16.1952353Z op. For example, the "input dtype" here is not the dtype of the input 2025-07-17T07:12:16.1952879Z tensor passed to the quantized linear op. Though it can still be the 2025-07-17T07:12:16.1953409Z same as the interface dtype, this is not always the case, e.g. the 2025-07-17T07:12:16.1953944Z interface dtype is fp32 in dynamic quantization but the "input dtype" 2025-07-17T07:12:16.1954522Z specified in the DTypeConfig would still be quint8. The semantics of 2025-07-17T07:12:16.1955067Z dtypes here are the same as the semantics of the dtypes specified in 2025-07-17T07:12:16.1955482Z the observers. 2025-07-17T07:12:16.1955716Z 2025-07-17T07:12:16.1956025Z These dtypes are matched against the ones specified in the user's 2025-07-17T07:12:16.1956567Z QConfig. If there is a match, and the QConfig satisfies the constraints 2025-07-17T07:12:16.1957133Z specified in the DTypeConfig (if any), then we will quantize the given 2025-07-17T07:12:16.1957688Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and 2025-07-17T07:12:16.1958152Z the pattern will not be quantized. 2025-07-17T07:12:16.1958456Z 2025-07-17T07:12:16.1958656Z Example usage:: 2025-07-17T07:12:16.1958891Z 2025-07-17T07:12:16.1959144Z >>> # xdoctest: +SKIP(failing) 2025-07-17T07:12:16.1959457Z >>> dtype_config1 = DTypeConfig( 2025-07-17T07:12:16.1959780Z ... input_dtype=torch.quint8, 2025-07-17T07:12:16.1960118Z ... output_dtype=torch.quint8, 2025-07-17T07:12:16.1960448Z ... weight_dtype=torch.qint8, 2025-07-17T07:12:16.1960757Z ... bias_dtype=torch.float) 2025-07-17T07:12:16.1961058Z 2025-07-17T07:12:16.1961280Z >>> dtype_config2 = DTypeConfig( 2025-07-17T07:12:16.1961616Z ... input_dtype=DTypeWithConstraints( 2025-07-17T07:12:16.1962013Z ... dtype=torch.quint8, 2025-07-17T07:12:16.1962327Z ... quant_min_lower_bound=0, 2025-07-17T07:12:16.1962641Z ... quant_max_upper_bound=255, 2025-07-17T07:12:16.1962946Z ... ), 2025-07-17T07:12:16.1963211Z ... output_dtype=DTypeWithConstraints( 2025-07-17T07:12:16.1963543Z ... dtype=torch.quint8, 2025-07-17T07:12:16.1963862Z ... quant_min_lower_bound=0, 2025-07-17T07:12:16.1964192Z ... quant_max_upper_bound=255, 2025-07-17T07:12:16.1964499Z ... ), 2025-07-17T07:12:16.1964750Z ... weight_dtype=DTypeWithConstraints( 2025-07-17T07:12:16.1965099Z ... dtype=torch.qint8, 2025-07-17T07:12:16.1965424Z ... quant_min_lower_bound=-128, 2025-07-17T07:12:16.1965747Z ... quant_max_upper_bound=127, 2025-07-17T07:12:16.1966052Z ... ), 2025-07-17T07:12:16.1966295Z ... bias_dtype=torch.float) 2025-07-17T07:12:16.1966577Z 2025-07-17T07:12:16.1966797Z >>> dtype_config1.input_dtype 2025-07-17T07:12:16.1967096Z torch.quint8 2025-07-17T07:12:16.1967319Z 2025-07-17T07:12:16.1967534Z >>> dtype_config2.input_dtype 2025-07-17T07:12:16.1967825Z torch.quint8 2025-07-17T07:12:16.1968040Z 2025-07-17T07:12:16.1968284Z >>> dtype_config2.input_dtype_with_constraints 2025-07-17T07:12:16.1969082Z DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None) 2025-07-17T07:12:16.1970024Z 2025-07-17T07:12:16.1970384Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.1970844Z 2025-07-17T07:12:16.1971058Z warnings.warn(msg) 2025-07-17T07:12:16.1971297Z 2025-07-17T07:12:16.1971624Z --- Parse Warning: 39 / 136 --- 2025-07-17T07:12:16.1972900Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReport in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report.py line=24. 2025-07-17T07:12:16.1974298Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.1974747Z 2025-07-17T07:12:16.1975166Z The ModelReport class aims to provide users an easy way to diagnose issues that they run into 2025-07-17T07:12:16.1976001Z with their models. The class works with all traceable GraphModules to help diagnose issues, 2025-07-17T07:12:16.1976710Z though the requirements on the type of model more-so depends on the specific report the user 2025-07-17T07:12:16.1977440Z is trying to generate. With respect to the reports, the ModelReport class is initialized with 2025-07-17T07:12:16.1978136Z a set of Detector classes, each of which generate reports on quantization configuration 2025-07-17T07:12:16.1978632Z issues a use might have. 2025-07-17T07:12:16.1978888Z 2025-07-17T07:12:16.1979203Z Currently supports generating reports on: 2025-07-17T07:12:16.1979679Z - Suggestions for per-channel vs. per-tensor quantization (nn.Module) 2025-07-17T07:12:16.1980281Z - Suggestions for dynamic vs static quantization for linear layers (Graph Modules) 2025-07-17T07:12:16.1980968Z - Suggestions for input-weight equalization for linear and conv layers (Graph Modules) 2025-07-17T07:12:16.1981640Z - Suggestions for outlier detection for all layers (Graph Modules) 2025-07-17T07:12:16.1982050Z 2025-07-17T07:12:16.1982551Z The ModelReport class has the primary functionality of inserting observers (primarily the ModelReportObserver) 2025-07-17T07:12:16.1983445Z where needed for each detector to gather the information it needs, and then after calibration, the ModelReport 2025-07-17T07:12:16.1984313Z class compiles the report generated by each Detector class into a single report to return to the user. It also 2025-07-17T07:12:16.1985090Z has the capability to remove all the observers it inserted as well. 2025-07-17T07:12:16.1985503Z 2025-07-17T07:12:16.1985895Z * :attr:`_model` The model we wish to generate the report for. Must be a traceable GraphModule 2025-07-17T07:12:16.1986380Z 2025-07-17T07:12:16.1986854Z * :attr:`_desired_report_detectors` The set of Detectors representing desired reports from the ModelReport class 2025-07-17T07:12:16.1987670Z Make sure that these are all unique types of detectors [do not have more than 1 of the same class] 2025-07-17T07:12:16.1988205Z 2025-07-17T07:12:16.1988591Z * :attr:`_desired_detector_names` The set of detector names of the _desired_report_detectors. 2025-07-17T07:12:16.1989229Z This set is generated by calling the get_detector_name() of each detector 2025-07-17T07:12:16.1989655Z 2025-07-17T07:12:16.1990107Z * :attr:`_detector_name_to_observer_fqns` The mapping from each detector to fqns of observers of interest 2025-07-17T07:12:16.1990874Z The purpose of this is to keep track of what observers were inserted for each detector, so that they 2025-07-17T07:12:16.1991008Z can be removed at the end if desired 2025-07-17T07:12:16.1991089Z 2025-07-17T07:12:16.1991401Z * :attr:`_prepared_flag` A boolean flag that keeps track of whether we have prepared the model or not 2025-07-17T07:12:16.1991651Z This is to ensure we only insert observers once with the ModelReport instance 2025-07-17T07:12:16.1991733Z 2025-07-17T07:12:16.1991983Z * :attr:`_removed_observers` A boolean to track if we have removed observers already 2025-07-17T07:12:16.1992282Z The purpose is to ensure we don't attempt to remove observers twice with the same ModelReport 2025-07-17T07:12:16.1992597Z instance. This also allows the functionality where we can generate the report multiple times 2025-07-17T07:12:16.1992749Z as long as we haven't removed the observers yet. 2025-07-17T07:12:16.1992827Z 2025-07-17T07:12:16.1992910Z Note: 2025-07-17T07:12:16.1993214Z This class was initially designed to work with the Fx Graph Mode workflow in mind. However, 2025-07-17T07:12:16.1993525Z full functionality is available as long as there is a traceable GraphModule that is being used. 2025-07-17T07:12:16.1993816Z One method to get a traceable GraphModule without going through the Fx workflow is to use 2025-07-17T07:12:16.1993940Z the QuantizationTracer class. 2025-07-17T07:12:16.1994046Z 2025-07-17T07:12:16.1994159Z General Flow for Fx workflow: 2025-07-17T07:12:16.1994550Z 1.) Initialize ModelReport object with reports of interest by passing in initialized detector objects and model 2025-07-17T07:12:16.1994665Z 2.) Prepare your model with prepare_fx 2025-07-17T07:12:16.1994916Z 3.) Call model_report.prepare_detailed_calibration to add relevant observers 2025-07-17T07:12:16.1995033Z 4.) Calibrate your model with data 2025-07-17T07:12:16.1995393Z 5.) Call model_report.generate_report on your model to generate report and optionally remove added observers 2025-07-17T07:12:16.1995493Z Optional 2025-07-17T07:12:16.1995762Z 6.) Call model_report.generate_visualizer to get a ModelReportVisualizer instance 2025-07-17T07:12:16.1996014Z 7.) To help in parsing report information and debugging, view report info as a: 2025-07-17T07:12:16.1996099Z - Table 2025-07-17T07:12:16.1996216Z - Histogram 2025-07-17T07:12:16.1996317Z - Line plot 2025-07-17T07:12:16.1996631Z 8.) Call model_report.generate_qconfigs to generate the qconfigs based on the report suggestions 2025-07-17T07:12:16.1996708Z 2025-07-17T07:12:16.1996835Z Example (with QuantizationTracer): 2025-07-17T07:12:16.1996930Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.1997030Z >>> # get the necessary qconfig 2025-07-17T07:12:16.1997155Z >>> config = PrepareCustomConfig() 2025-07-17T07:12:16.1997356Z >>> skipped_module_names, skipped_module_classes = ( 2025-07-17T07:12:16.1997528Z ... get_skipped_module_name_and_classes(config, False) 2025-07-17T07:12:16.1997607Z ... ) 2025-07-17T07:12:16.1997684Z 2025-07-17T07:12:16.1997821Z >>> # initialize our model and get GraphModule 2025-07-17T07:12:16.1997915Z >>> model = SomeModel() 2025-07-17T07:12:16.1998166Z >>> tracer = QuantizationTracer(skipped_module_names, skipped_module_classes) 2025-07-17T07:12:16.1998348Z >>> graph_module = GraphModule(model, tracer.trace(model)) 2025-07-17T07:12:16.1998424Z 2025-07-17T07:12:16.1998573Z >>> # get our set of detectors and ModelReport instance 2025-07-17T07:12:16.1998684Z >>> detector_set = set( 2025-07-17T07:12:16.1998768Z ... [ 2025-07-17T07:12:16.1998918Z ... DynamicStaticDetector(tolerance=0.5), 2025-07-17T07:12:16.1999109Z ... InputWeightEqualizationDetector(ratio_threshold=0.7), 2025-07-17T07:12:16.1999187Z ... ] 2025-07-17T07:12:16.1999282Z ... ) 2025-07-17T07:12:16.1999486Z >>> tracer_reporter = ModelReport(graph_module, tracer_detector_set) 2025-07-17T07:12:16.1999562Z 2025-07-17T07:12:16.1999726Z >>> # now we insert the observers and calibrate the model 2025-07-17T07:12:16.1999978Z >>> tracer_model_with_observers = tracer_reporter.prepare_detailed_calibration() 2025-07-17T07:12:16.2000109Z >>> for i in range(num_callibration_batches): 2025-07-17T07:12:16.2000254Z >>> example_input = get_callibration_input() 2025-07-17T07:12:16.2000389Z >>> tracer_model_with_observers(example_input) 2025-07-17T07:12:16.2000477Z 2025-07-17T07:12:16.2000733Z >>> # finally we generate the reports and optionally remove the observers we inserted 2025-07-17T07:12:16.2000885Z >>> reports = tracer_reporter.generate_model_report( 2025-07-17T07:12:16.2001009Z ... remove_inserted_observers=True 2025-07-17T07:12:16.2001088Z ... ) 2025-07-17T07:12:16.2001170Z 2025-07-17T07:12:16.2001398Z >>> # Optional: we can generate the qconfig mapping based on the suggestions 2025-07-17T07:12:16.2001553Z >>> qconfigs = model_report.generate_qconfig_mapping() 2025-07-17T07:12:16.2001635Z 2025-07-17T07:12:16.2001887Z >>> # Optional: we can generate the equalization mapping based on the suggestions 2025-07-17T07:12:16.2002061Z >>> qconfigs = model_report.generate_equalization_mapping() 2025-07-17T07:12:16.2002175Z 2025-07-17T07:12:16.2002450Z >>> # Optional: we get a ModelReportVisualizer instance to do any visualizations desired 2025-07-17T07:12:16.2002654Z >>> model_report_visualizer = tracer_reporter.generate_visualizer() 2025-07-17T07:12:16.2002743Z 2025-07-17T07:12:16.2002819Z 2025-07-17T07:12:16.2003067Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2003154Z 2025-07-17T07:12:16.2003248Z warnings.warn(msg) 2025-07-17T07:12:16.2003328Z 2025-07-17T07:12:16.2003555Z --- Parse Warning: 40 / 136 --- 2025-07-17T07:12:16.2004812Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301. 2025-07-17T07:12:16.2005112Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2005190Z 2025-07-17T07:12:16.2005452Z Takes in optional filter values and generates two tables with desired information. 2025-07-17T07:12:16.2005542Z 2025-07-17T07:12:16.2005746Z The generated tables are presented in both a list-of-lists format 2025-07-17T07:12:16.2005822Z 2025-07-17T07:12:16.2006040Z The reason for the two tables are that they handle different things: 2025-07-17T07:12:16.2006249Z 1.) the first table handles all tensor level information 2025-07-17T07:12:16.2006473Z 2.) the second table handles and displays all channel based information 2025-07-17T07:12:16.2006550Z 2025-07-17T07:12:16.2006866Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2025-07-17T07:12:16.2007204Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2025-07-17T07:12:16.2007558Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2025-07-17T07:12:16.2007638Z 2025-07-17T07:12:16.2007746Z Tensor table columns: 2025-07-17T07:12:16.2007934Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2025-07-17T07:12:16.2008099Z ---- --------- --------- --------- --------- --------- 2025-07-17T07:12:16.2008179Z 2025-07-17T07:12:16.2008283Z Per-Channel table columns: 2025-07-17T07:12:16.2008515Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2025-07-17T07:12:16.2008677Z ---- --------- ------- --------- --------- --------- --------- 2025-07-17T07:12:16.2008754Z 2025-07-17T07:12:16.2008845Z Args: 2025-07-17T07:12:16.2009120Z feature_filter (str, optional): Filters the features presented to only those that 2025-07-17T07:12:16.2009228Z contain this filter substring 2025-07-17T07:12:16.2009403Z Default = "", results in all the features being printed 2025-07-17T07:12:16.2009666Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-07-17T07:12:16.2009920Z Default = "", results in all the modules in the reports to be visible in the table 2025-07-17T07:12:16.2009998Z 2025-07-17T07:12:16.2010108Z Returns a dictionary with two keys: 2025-07-17T07:12:16.2010291Z (Dict[str, Tuple[List, List]]) A dict containing two keys: 2025-07-17T07:12:16.2010418Z "tensor_level_info", "channel_level_info" 2025-07-17T07:12:16.2010526Z Each key maps to a tuple with: 2025-07-17T07:12:16.2010652Z A list of the headers of each table 2025-07-17T07:12:16.2010832Z A list of lists containing the table information row by row 2025-07-17T07:12:16.2011014Z The 0th index row will contain the headers of the columns 2025-07-17T07:12:16.2011139Z The rest of the rows will contain data 2025-07-17T07:12:16.2011243Z 2025-07-17T07:12:16.2011342Z Example Use: 2025-07-17T07:12:16.2011469Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:16.2011617Z >>> mod_report_visualizer.generate_filtered_tables( 2025-07-17T07:12:16.2011818Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-07-17T07:12:16.2012089Z ... ) # generates table with per_channel_min info for all modules in block 1 of the model 2025-07-17T07:12:16.2012168Z 2025-07-17T07:12:16.2012433Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2012510Z 2025-07-17T07:12:16.2012615Z warnings.warn(msg) 2025-07-17T07:12:16.2012692Z 2025-07-17T07:12:16.2012879Z --- Parse Warning: 41 / 136 --- 2025-07-17T07:12:16.2014167Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=399. 2025-07-17T07:12:16.2014457Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2014551Z 2025-07-17T07:12:16.2014817Z Takes in optional filter values and prints out formatted tables of the information. 2025-07-17T07:12:16.2014894Z 2025-07-17T07:12:16.2015290Z The reason for the two tables printed out instead of one large one are that they handle different things: 2025-07-17T07:12:16.2015452Z 1.) the first table handles all tensor level information 2025-07-17T07:12:16.2015665Z 2.) the second table handles and displays all channel based information 2025-07-17T07:12:16.2015754Z 2025-07-17T07:12:16.2016070Z The reasoning for this is that having all the info in one table can make it ambiguous which collected 2025-07-17T07:12:16.2016394Z statistics are global, and which are actually per-channel, so it's better to split it up into two 2025-07-17T07:12:16.2016756Z tables. This also makes the information much easier to digest given the plethora of statistics collected 2025-07-17T07:12:16.2016834Z 2025-07-17T07:12:16.2016940Z Tensor table columns: 2025-07-17T07:12:16.2017128Z idx layer_fqn feature_1 feature_2 feature_3 .... feature_n 2025-07-17T07:12:16.2017275Z ---- --------- --------- --------- --------- --------- 2025-07-17T07:12:16.2017362Z 2025-07-17T07:12:16.2017470Z Per-Channel table columns: 2025-07-17T07:12:16.2017547Z 2025-07-17T07:12:16.2017772Z idx layer_fqn channel feature_1 feature_2 feature_3 .... feature_n 2025-07-17T07:12:16.2017930Z ---- --------- ------- --------- --------- --------- --------- 2025-07-17T07:12:16.2018018Z 2025-07-17T07:12:16.2018096Z Args: 2025-07-17T07:12:16.2018355Z feature_filter (str, optional): Filters the features presented to only those that 2025-07-17T07:12:16.2018478Z contain this filter substring 2025-07-17T07:12:16.2018637Z Default = "", results in all the features being printed 2025-07-17T07:12:16.2018893Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-07-17T07:12:16.2019244Z Default = "", results in all the modules in the reports to be visible in the table 2025-07-17T07:12:16.2019323Z 2025-07-17T07:12:16.2019410Z Example Use: 2025-07-17T07:12:16.2019554Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:16.2019713Z >>> mod_report_visualizer.generate_table_visualization( 2025-07-17T07:12:16.2019916Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-07-17T07:12:16.2019995Z ... ) 2025-07-17T07:12:16.2020181Z >>> # prints out neatly formatted table with per_channel_min info 2025-07-17T07:12:16.2020316Z >>> # for all modules in block 1 of the model 2025-07-17T07:12:16.2020427Z 2025-07-17T07:12:16.2020675Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2020762Z 2025-07-17T07:12:16.2020855Z warnings.warn(msg) 2025-07-17T07:12:16.2020932Z 2025-07-17T07:12:16.2021137Z --- Parse Warning: 42 / 136 --- 2025-07-17T07:12:16.2022399Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=564. 2025-07-17T07:12:16.2022670Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2022747Z 2025-07-17T07:12:16.2022979Z Takes in a feature and optional module_filter and plots of the desired data. 2025-07-17T07:12:16.2023068Z 2025-07-17T07:12:16.2023379Z For per channel features, it averages the value across the channels and plots a point 2025-07-17T07:12:16.2023634Z per module. The reason for this is that for models with hundreds of channels, it can 2025-07-17T07:12:16.2023920Z be hard to differentiate one channel line from another, and so the point of generating 2025-07-17T07:12:16.2024184Z a single average point per module is to give a sense of general trends that encourage 2025-07-17T07:12:16.2024288Z further deep dives. 2025-07-17T07:12:16.2024365Z 2025-07-17T07:12:16.2024445Z Note: 2025-07-17T07:12:16.2024767Z Only features in the report that have tensor value data are plottable by this class 2025-07-17T07:12:16.2024935Z When the tensor information is plotted, it will plot: 2025-07-17T07:12:16.2025068Z idx as the x val, feature value as the y_val 2025-07-17T07:12:16.2025248Z When the channel information is plotted, it will plot: 2025-07-17T07:12:16.2025509Z the first idx of each module as the x val, feature value as the y_val [for each channel] 2025-07-17T07:12:16.2025750Z The reason for this is that we want to be able to compare values across the 2025-07-17T07:12:16.2025978Z channels for same layer, and it will be hard if values are staggered by idx 2025-07-17T07:12:16.2026147Z This means each module is represented by only 1 x value 2025-07-17T07:12:16.2026242Z Args: 2025-07-17T07:12:16.2026465Z feature_filter (str): Filters the features presented to only those that 2025-07-17T07:12:16.2026577Z contain this filter substring 2025-07-17T07:12:16.2026843Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-07-17T07:12:16.2027083Z Default = "", results in all the modules in the reports to be visible in the table 2025-07-17T07:12:16.2027173Z 2025-07-17T07:12:16.2027257Z Example Use: 2025-07-17T07:12:16.2027384Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:16.2027554Z >>> mod_report_visualizer.generate_plot_visualization( 2025-07-17T07:12:16.2027748Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-07-17T07:12:16.2027825Z ... ) 2025-07-17T07:12:16.2028014Z >>> # outputs line plot of per_channel_min information for all 2025-07-17T07:12:16.2028195Z >>> # modules in block1 of model each channel gets it's own line, 2025-07-17T07:12:16.2028365Z >>> # and it's plotted across the in-order modules on the x-axis 2025-07-17T07:12:16.2028454Z 2025-07-17T07:12:16.2028708Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2028801Z 2025-07-17T07:12:16.2028895Z warnings.warn(msg) 2025-07-17T07:12:16.2028973Z 2025-07-17T07:12:16.2029169Z --- Parse Warning: 43 / 136 --- 2025-07-17T07:12:16.2030457Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=643. 2025-07-17T07:12:16.2030753Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2030844Z 2025-07-17T07:12:16.2031120Z Takes in a feature and optional module_filter and plots the histogram of desired data. 2025-07-17T07:12:16.2031213Z 2025-07-17T07:12:16.2031293Z Note: 2025-07-17T07:12:16.2031561Z Only features in the report that have tensor value data can be viewed as a histogram 2025-07-17T07:12:16.2031835Z If you want to plot a histogram from all the channel values of a specific feature for 2025-07-17T07:12:16.2032081Z a specific model, make sure to specify both the model and the feature properly 2025-07-17T07:12:16.2032323Z in the filters and you should be able to see a distribution of the channel data 2025-07-17T07:12:16.2032447Z 2025-07-17T07:12:16.2032531Z Args: 2025-07-17T07:12:16.2032805Z feature_filter (str, optional): Filters the features presented to only those that 2025-07-17T07:12:16.2032913Z contain this filter substring 2025-07-17T07:12:16.2033077Z Default = "", results in all the features being printed 2025-07-17T07:12:16.2033349Z module_fqn_filter (str, optional): Only includes modules that contains this string 2025-07-17T07:12:16.2033638Z Default = "", results in all the modules in the reports to be visible in the table 2025-07-17T07:12:16.2033859Z num_bins (int, optional): The number of bins to create the histogram with 2025-07-17T07:12:16.2034056Z Default = 10, the values will be split into 10 equal sized bins 2025-07-17T07:12:16.2034136Z 2025-07-17T07:12:16.2034239Z Example Use: 2025-07-17T07:12:16.2034337Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2034639Z >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization( 2025-07-17T07:12:16.2034850Z ... feature_filter="per_channel_min", module_fqn_filter="block1" 2025-07-17T07:12:16.2034932Z ... ) 2025-07-17T07:12:16.2035204Z # outputs histogram of per_channel_min information for all modules in block1 of model 2025-07-17T07:12:16.2035473Z information is gathered across all channels for all modules in block 1 for the 2025-07-17T07:12:16.2035689Z per_channel_min and is displayed in a histogram of equally sized bins 2025-07-17T07:12:16.2035766Z 2025-07-17T07:12:16.2036031Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2036111Z 2025-07-17T07:12:16.2036222Z warnings.warn(msg) 2025-07-17T07:12:16.2036305Z 2025-07-17T07:12:16.2036489Z --- Parse Warning: 44 / 136 --- 2025-07-17T07:12:16.2037400Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=record_function in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/autograd/profiler.py line=734. 2025-07-17T07:12:16.2037661Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2038040Z Context manager/function decorator that adds a label to a code block/function when running autograd profiler. 2025-07-17T07:12:16.2038231Z Label will only appear if CPU activity tracing is enabled. 2025-07-17T07:12:16.2038308Z 2025-07-17T07:12:16.2038452Z It is useful when tracing the code profile. 2025-07-17T07:12:16.2038529Z 2025-07-17T07:12:16.2038611Z Args: 2025-07-17T07:12:16.2038760Z name (str): Label assigned to the block of code. 2025-07-17T07:12:16.2038940Z node_id (int): ID of node, for distributed profiling. Unset in 2025-07-17T07:12:16.2039042Z non-distributed cases. 2025-07-17T07:12:16.2039128Z 2025-07-17T07:12:16.2039212Z Example: 2025-07-17T07:12:16.2039390Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD_PROFILER) 2025-07-17T07:12:16.2039559Z >>> x = torch.randn((1, 1), requires_grad=True) 2025-07-17T07:12:16.2039714Z >>> with torch.autograd.profiler.profile() as prof: 2025-07-17T07:12:16.2039812Z ... y = x**2 2025-07-17T07:12:16.2039966Z ... with torch.autograd.profiler.record_function( 2025-07-17T07:12:16.2040055Z ... "label-z" 2025-07-17T07:12:16.2040162Z ... ): # label the block 2025-07-17T07:12:16.2040255Z ... z = y**3 2025-07-17T07:12:16.2040344Z ... y.backward() 2025-07-17T07:12:16.2040454Z >>> # xdoctest: +IGNORE_WANT 2025-07-17T07:12:16.2040586Z >>> # NOTE: some columns were removed for brevity 2025-07-17T07:12:16.2040785Z >>> print(prof.key_averages().table(sort_by="self_cpu_time_total")) 2025-07-17T07:12:16.2040986Z ----------------------------------- --------------- --------------- --------------- 2025-07-17T07:12:16.2041194Z Name Self CPU total % CPU time avg Number of Calls 2025-07-17T07:12:16.2041394Z ----------------------------------- --------------- --------------- --------------- 2025-07-17T07:12:16.2041524Z pow 60.77% 47.470us 3 2025-07-17T07:12:16.2041648Z mul 21.73% 25.465us 2 2025-07-17T07:12:16.2041878Z PowBackward0 12.03% 121.891us 1 2025-07-17T07:12:16.2042104Z torch::autograd::AccumulateGrad 2.70% 6.324us 1 2025-07-17T07:12:16.2042260Z label-z 2.13% 12.421us 1 2025-07-17T07:12:16.2042459Z torch::autograd::GraphRoot 0.64% 1.503us 1 2025-07-17T07:12:16.2042649Z ----------------------------------- --------------- --------------- --------------- 2025-07-17T07:12:16.2042771Z Self CPU time total: 234.344us 2025-07-17T07:12:16.2042870Z CUDA time total: 0.000us 2025-07-17T07:12:16.2042953Z 2025-07-17T07:12:16.2043045Z 2025-07-17T07:12:16.2043294Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2043386Z 2025-07-17T07:12:16.2043481Z warnings.warn(msg) 2025-07-17T07:12:16.2043557Z 2025-07-17T07:12:16.2043753Z --- Parse Warning: 45 / 136 --- 2025-07-17T07:12:16.2044709Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/device_mesh.py line=685. 2025-07-17T07:12:16.2044954Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:16.2045048Z 2025-07-17T07:12:16.2045317Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-07-17T07:12:16.2045589Z The submesh created consists of the dimensions and the communicators indicated by 2025-07-17T07:12:16.2045678Z ``mesh_dim_names`` 2025-07-17T07:12:16.2045755Z 2025-07-17T07:12:16.2045844Z Args: 2025-07-17T07:12:16.2046075Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-07-17T07:12:16.2046257Z mesh dimension of the DeviceMesh to create the submesh for. 2025-07-17T07:12:16.2046353Z Returns: 2025-07-17T07:12:16.2046455Z A :class:`DeviceMesh` object 2025-07-17T07:12:16.2046534Z 2025-07-17T07:12:16.2046827Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-07-17T07:12:16.2046924Z In the first example: 2025-07-17T07:12:16.2047172Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-07-17T07:12:16.2047460Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-07-17T07:12:16.2047683Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-07-17T07:12:16.2047917Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-07-17T07:12:16.2048132Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-07-17T07:12:16.2048352Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-07-17T07:12:16.2048442Z 2025-07-17T07:12:16.2048538Z In the second example: 2025-07-17T07:12:16.2048814Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-07-17T07:12:16.2049074Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-07-17T07:12:16.2049359Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-07-17T07:12:16.2049629Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-07-17T07:12:16.2049708Z 2025-07-17T07:12:16.2049793Z Example:: 2025-07-17T07:12:16.2049886Z 2025-07-17T07:12:16.2049993Z >>> # xdoctest: +SKIP("no rank") 2025-07-17T07:12:16.2050162Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-07-17T07:12:16.2050252Z >>> 2025-07-17T07:12:16.2050503Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-07-17T07:12:16.2050653Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-07-17T07:12:16.2050901Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-07-17T07:12:16.2051000Z >>> tp_mesh = mesh_2d["tp"] 2025-07-17T07:12:16.2051107Z >>> dp_mesh = mesh_2d["dp"] 2025-07-17T07:12:16.2051187Z >>> 2025-07-17T07:12:16.2051284Z >>> # Initialize a 3D mesh. 2025-07-17T07:12:16.2051568Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-07-17T07:12:16.2051869Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-07-17T07:12:16.2051992Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-07-17T07:12:16.2052099Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-07-17T07:12:16.2052177Z 2025-07-17T07:12:16.2052861Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2025-07-17T07:12:16.2052939Z 2025-07-17T07:12:16.2053182Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-07-17T07:12:16.2053308Z ^ 2025-07-17T07:12:16.2053407Z warnings.warn(msg) 2025-07-17T07:12:16.2053496Z 2025-07-17T07:12:16.2053680Z --- Parse Warning: 46 / 136 --- 2025-07-17T07:12:16.2054650Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=batch_isend_irecv in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2706. 2025-07-17T07:12:16.2054922Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2055003Z 2025-07-17T07:12:16.2055250Z Send or Receive a batch of tensors asynchronously and return a list of requests. 2025-07-17T07:12:16.2055338Z 2025-07-17T07:12:16.2055581Z Process each of the operations in ``p2p_op_list`` and return the corresponding 2025-07-17T07:12:16.2055784Z requests. NCCL, Gloo, and UCC backend are currently supported. 2025-07-17T07:12:16.2055861Z 2025-07-17T07:12:16.2055941Z Args: 2025-07-17T07:12:16.2056173Z p2p_op_list: A list of point-to-point operations(type of each operator is 2025-07-17T07:12:16.2056438Z ``torch.distributed.P2POp``). The order of the isend/irecv in the list 2025-07-17T07:12:16.2056643Z matters and it needs to match with corresponding isend/irecv on the 2025-07-17T07:12:16.2056739Z remote end. 2025-07-17T07:12:16.2056816Z 2025-07-17T07:12:16.2056896Z Returns: 2025-07-17T07:12:16.2057150Z A list of distributed request objects returned by calling the corresponding 2025-07-17T07:12:16.2057246Z op in the op_list. 2025-07-17T07:12:16.2057335Z 2025-07-17T07:12:16.2057418Z Examples: 2025-07-17T07:12:16.2057522Z >>> # xdoctest: +SKIP("no rank") 2025-07-17T07:12:16.2057721Z >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank 2025-07-17T07:12:16.2057871Z >>> recv_tensor = torch.randn(2, dtype=torch.float32) 2025-07-17T07:12:16.2058103Z >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size) 2025-07-17T07:12:16.2058215Z >>> recv_op = dist.P2POp( 2025-07-17T07:12:16.2058399Z ... dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size 2025-07-17T07:12:16.2058478Z ... ) 2025-07-17T07:12:16.2058621Z >>> reqs = batch_isend_irecv([send_op, recv_op]) 2025-07-17T07:12:16.2058716Z >>> for req in reqs: 2025-07-17T07:12:16.2058815Z >>> req.wait() 2025-07-17T07:12:16.2058900Z >>> recv_tensor 2025-07-17T07:12:16.2058996Z tensor([2, 3]) # Rank 0 2025-07-17T07:12:16.2059289Z tensor([0, 1]) # Rank 1 2025-07-17T07:12:16.2059371Z 2025-07-17T07:12:16.2059615Z .. note:: Note that when this API is used with the NCCL PG backend, users must set 2025-07-17T07:12:16.2059843Z the current GPU device with `torch.cuda.set_device`, otherwise it will 2025-07-17T07:12:16.2059953Z lead to unexpected hang issues. 2025-07-17T07:12:16.2060035Z 2025-07-17T07:12:16.2060252Z In addition, if this API is the first collective call in the ``group`` 2025-07-17T07:12:16.2060471Z passed to ``dist.P2POp``, all ranks of the ``group`` must participate in 2025-07-17T07:12:16.2060703Z this API call; otherwise, the behavior is undefined. If this API call is 2025-07-17T07:12:16.2060920Z not the first collective call in the ``group``, batched P2P operations 2025-07-17T07:12:16.2061111Z involving only a subset of ranks of the ``group`` are allowed. 2025-07-17T07:12:16.2061201Z 2025-07-17T07:12:16.2061449Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2061527Z 2025-07-17T07:12:16.2061632Z warnings.warn(msg) 2025-07-17T07:12:16.2061708Z 2025-07-17T07:12:16.2061898Z --- Parse Warning: 47 / 136 --- 2025-07-17T07:12:16.2062840Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_reduce in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=2838. 2025-07-17T07:12:16.2063105Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2063194Z 2025-07-17T07:12:16.2063458Z Reduces the tensor data across all machines in a way that all get the final result. 2025-07-17T07:12:16.2063534Z 2025-07-17T07:12:16.2063784Z After the call ``tensor`` is going to be bitwise identical in all processes. 2025-07-17T07:12:16.2063862Z 2025-07-17T07:12:16.2063973Z Complex tensors are supported. 2025-07-17T07:12:16.2064066Z 2025-07-17T07:12:16.2064147Z Args: 2025-07-17T07:12:16.2064362Z tensor (Tensor): Input and output of the collective. The function 2025-07-17T07:12:16.2064464Z operates in-place. 2025-07-17T07:12:16.2064581Z op (optional): One of the values from 2025-07-17T07:12:16.2064714Z ``torch.distributed.ReduceOp`` 2025-07-17T07:12:16.2064915Z enum. Specifies an operation used for element-wise reductions. 2025-07-17T07:12:16.2065173Z group (ProcessGroup, optional): The process group to work on. If None, 2025-07-17T07:12:16.2065313Z the default process group will be used. 2025-07-17T07:12:16.2065504Z async_op (bool, optional): Whether this op should be an async op 2025-07-17T07:12:16.2065585Z 2025-07-17T07:12:16.2065683Z Returns: 2025-07-17T07:12:16.2065821Z Async work handle, if async_op is set to True. 2025-07-17T07:12:16.2065981Z None, if not async_op or if not part of the group 2025-07-17T07:12:16.2066061Z 2025-07-17T07:12:16.2066148Z Examples: 2025-07-17T07:12:16.2066271Z >>> # xdoctest: +SKIP("no rank") 2025-07-17T07:12:16.2066404Z >>> # All tensors below are of torch.int64 type. 2025-07-17T07:12:16.2066519Z >>> # We have 2 process groups, 2 ranks. 2025-07-17T07:12:16.2066655Z >>> device = torch.device(f"cuda:{rank}") 2025-07-17T07:12:16.2066905Z >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank 2025-07-17T07:12:16.2066991Z >>> tensor 2025-07-17T07:12:16.2067115Z tensor([1, 2], device='cuda:0') # Rank 0 2025-07-17T07:12:16.2067225Z tensor([3, 4], device='cuda:1') # Rank 1 2025-07-17T07:12:16.2067371Z >>> dist.all_reduce(tensor, op=ReduceOp.SUM) 2025-07-17T07:12:16.2067455Z >>> tensor 2025-07-17T07:12:16.2067566Z tensor([4, 6], device='cuda:0') # Rank 0 2025-07-17T07:12:16.2067686Z tensor([4, 6], device='cuda:1') # Rank 1 2025-07-17T07:12:16.2067809Z 2025-07-17T07:12:16.2067947Z >>> # All tensors below are of torch.cfloat type. 2025-07-17T07:12:16.2068075Z >>> # We have 2 process groups, 2 ranks. 2025-07-17T07:12:16.2068176Z >>> tensor = torch.tensor( 2025-07-17T07:12:16.2068321Z ... [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device 2025-07-17T07:12:16.2068430Z ... ) + 2 * rank * (1 + 1j) 2025-07-17T07:12:16.2068514Z >>> tensor 2025-07-17T07:12:16.2068666Z tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0 2025-07-17T07:12:16.2068797Z tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1 2025-07-17T07:12:16.2068927Z >>> dist.all_reduce(tensor, op=ReduceOp.SUM) 2025-07-17T07:12:16.2069025Z >>> tensor 2025-07-17T07:12:16.2069154Z tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0 2025-07-17T07:12:16.2069284Z tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1 2025-07-17T07:12:16.2069374Z 2025-07-17T07:12:16.2069628Z 2025-07-17T07:12:16.2069887Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2069978Z 2025-07-17T07:12:16.2070073Z warnings.warn(msg) 2025-07-17T07:12:16.2070148Z 2025-07-17T07:12:16.2070354Z --- Parse Warning: 48 / 136 --- 2025-07-17T07:12:16.2071302Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=gather_object in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3198. 2025-07-17T07:12:16.2071581Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2071660Z 2025-07-17T07:12:16.2071877Z Gathers picklable objects from the whole group in a single process. 2025-07-17T07:12:16.2071967Z 2025-07-17T07:12:16.2072195Z Similar to :func:`gather`, but Python objects can be passed in. Note that the 2025-07-17T07:12:16.2072341Z object must be picklable in order to be gathered. 2025-07-17T07:12:16.2072433Z 2025-07-17T07:12:16.2072514Z Args: 2025-07-17T07:12:16.2072650Z obj (Any): Input object. Must be picklable. 2025-07-17T07:12:16.2072855Z object_gather_list (list[Any]): Output list. On the ``dst`` rank, it 2025-07-17T07:12:16.2073036Z should be correctly sized as the size of the group for this 2025-07-17T07:12:16.2073264Z collective and will contain the output. Must be ``None`` on non-dst 2025-07-17T07:12:16.2073454Z ranks. (default is ``None``) 2025-07-17T07:12:16.2073773Z dst (int, optional): Destination rank on global process group (regardless of ``group`` argument). 2025-07-17T07:12:16.2073975Z (If both ``dst`` and ``group_dst`` are None, default is global rank 0) 2025-07-17T07:12:16.2074204Z group: (ProcessGroup, optional): The process group to work on. If None, 2025-07-17T07:12:16.2074404Z the default process group will be used. Default is ``None``. 2025-07-17T07:12:16.2074746Z group_dst (int, optional): Destination rank on ``group``. Invalid to specify both ``dst`` and ``group_dst`` 2025-07-17T07:12:16.2074823Z 2025-07-17T07:12:16.2074916Z Returns: 2025-07-17T07:12:16.2075094Z None. On the ``dst`` rank, ``object_gather_list`` will contain the 2025-07-17T07:12:16.2075196Z output of the collective. 2025-07-17T07:12:16.2075321Z 2025-07-17T07:12:16.2075533Z .. note:: Note that this API differs slightly from the gather collective 2025-07-17T07:12:16.2075750Z since it does not provide an async_op handle and thus will be a blocking 2025-07-17T07:12:16.2075842Z call. 2025-07-17T07:12:16.2075918Z 2025-07-17T07:12:16.2076156Z .. note:: For NCCL-based processed groups, internal tensor representations 2025-07-17T07:12:16.2076363Z of objects must be moved to the GPU device before communication takes 2025-07-17T07:12:16.2076505Z place. In this case, the device used is given by 2025-07-17T07:12:16.2076801Z ``torch.cuda.current_device()`` and it is the user's responsibility to 2025-07-17T07:12:16.2077004Z ensure that this is set so that each rank has an individual GPU, via 2025-07-17T07:12:16.2077109Z ``torch.cuda.set_device()``. 2025-07-17T07:12:16.2077197Z 2025-07-17T07:12:16.2077281Z .. warning:: 2025-07-17T07:12:16.2077527Z Object collectives have a number of serious performance and scalability 2025-07-17T07:12:16.2077707Z limitations. See :ref:`object_collectives` for details. 2025-07-17T07:12:16.2077784Z 2025-07-17T07:12:16.2077883Z .. warning:: 2025-07-17T07:12:16.2078077Z :func:`gather_object` uses ``pickle`` module implicitly, which is 2025-07-17T07:12:16.2078293Z known to be insecure. It is possible to construct malicious pickle data 2025-07-17T07:12:16.2078521Z which will execute arbitrary code during unpickling. Only call this 2025-07-17T07:12:16.2078627Z function with data you trust. 2025-07-17T07:12:16.2078709Z 2025-07-17T07:12:16.2078807Z .. warning:: 2025-07-17T07:12:16.2079015Z Calling :func:`gather_object` with GPU tensors is not well supported 2025-07-17T07:12:16.2079249Z and inefficient as it incurs GPU -> CPU transfer since tensors would be 2025-07-17T07:12:16.2079413Z pickled. Please consider using :func:`gather` instead. 2025-07-17T07:12:16.2079494Z 2025-07-17T07:12:16.2079591Z Example:: 2025-07-17T07:12:16.2079725Z >>> # xdoctest: +SKIP("need process group init") 2025-07-17T07:12:16.2079899Z >>> # Note: Process group initialization omitted on each rank. 2025-07-17T07:12:16.2080029Z >>> import torch.distributed as dist 2025-07-17T07:12:16.2080130Z >>> # Assumes world_size of 3. 2025-07-17T07:12:16.2080300Z >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object 2025-07-17T07:12:16.2080432Z >>> output = [None for _ in gather_objects] 2025-07-17T07:12:16.2080531Z >>> dist.gather_object( 2025-07-17T07:12:16.2080659Z ... gather_objects[dist.get_rank()], 2025-07-17T07:12:16.2080787Z ... output if dist.get_rank() == 0 else None, 2025-07-17T07:12:16.2080870Z ... dst=0 2025-07-17T07:12:16.2080960Z ... ) 2025-07-17T07:12:16.2081045Z >>> # On rank 0 2025-07-17T07:12:16.2081126Z >>> output 2025-07-17T07:12:16.2081225Z ['foo', 12, {1: 2}] 2025-07-17T07:12:16.2081301Z 2025-07-17T07:12:16.2081576Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2081663Z 2025-07-17T07:12:16.2081755Z warnings.warn(msg) 2025-07-17T07:12:16.2081830Z 2025-07-17T07:12:16.2082027Z --- Parse Warning: 49 / 136 --- 2025-07-17T07:12:16.2082968Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_gather in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=3794. 2025-07-17T07:12:16.2083239Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2083315Z 2025-07-17T07:12:16.2083451Z Gathers tensors from the whole group in a list. 2025-07-17T07:12:16.2083543Z 2025-07-17T07:12:16.2083682Z Complex and uneven sized tensors are supported. 2025-07-17T07:12:16.2083759Z 2025-07-17T07:12:16.2083883Z Args: 2025-07-17T07:12:16.2084058Z tensor_list (list[Tensor]): Output list. It should contain 2025-07-17T07:12:16.2084288Z correctly-sized tensors to be used for output of the collective. 2025-07-17T07:12:16.2084405Z Uneven sized tensors are supported. 2025-07-17T07:12:16.2084587Z tensor (Tensor): Tensor to be broadcast from current process. 2025-07-17T07:12:16.2084825Z group (ProcessGroup, optional): The process group to work on. If None, 2025-07-17T07:12:16.2084947Z the default process group will be used. 2025-07-17T07:12:16.2085199Z async_op (bool, optional): Whether this op should be an async op 2025-07-17T07:12:16.2085289Z 2025-07-17T07:12:16.2085371Z Returns: 2025-07-17T07:12:16.2085505Z Async work handle, if async_op is set to True. 2025-07-17T07:12:16.2085661Z None, if not async_op or if not part of the group 2025-07-17T07:12:16.2085738Z 2025-07-17T07:12:16.2085830Z Examples: 2025-07-17T07:12:16.2085962Z >>> # xdoctest: +SKIP("need process group init") 2025-07-17T07:12:16.2086095Z >>> # All tensors below are of torch.int64 dtype. 2025-07-17T07:12:16.2086222Z >>> # We have 2 process groups, 2 ranks. 2025-07-17T07:12:16.2086338Z >>> device = torch.device(f"cuda:{rank}") 2025-07-17T07:12:16.2086431Z >>> tensor_list = [ 2025-07-17T07:12:16.2086650Z ... torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2) 2025-07-17T07:12:16.2086729Z ... ] 2025-07-17T07:12:16.2086814Z >>> tensor_list 2025-07-17T07:12:16.2087026Z [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0 2025-07-17T07:12:16.2087217Z [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1 2025-07-17T07:12:16.2087455Z >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank 2025-07-17T07:12:16.2087540Z >>> tensor 2025-07-17T07:12:16.2087652Z tensor([1, 2], device='cuda:0') # Rank 0 2025-07-17T07:12:16.2087774Z tensor([3, 4], device='cuda:1') # Rank 1 2025-07-17T07:12:16.2087889Z >>> dist.all_gather(tensor_list, tensor) 2025-07-17T07:12:16.2087976Z >>> tensor_list 2025-07-17T07:12:16.2088176Z [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0 2025-07-17T07:12:16.2088364Z [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1 2025-07-17T07:12:16.2088453Z 2025-07-17T07:12:16.2088590Z >>> # All tensors below are of torch.cfloat dtype. 2025-07-17T07:12:16.2088708Z >>> # We have 2 process groups, 2 ranks. 2025-07-17T07:12:16.2088810Z >>> tensor_list = [ 2025-07-17T07:12:16.2089018Z ... torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2) 2025-07-17T07:12:16.2089096Z ... ] 2025-07-17T07:12:16.2089193Z >>> tensor_list 2025-07-17T07:12:16.2089438Z [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0 2025-07-17T07:12:16.2089701Z [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1 2025-07-17T07:12:16.2089814Z >>> tensor = torch.tensor( 2025-07-17T07:12:16.2089956Z ... [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device 2025-07-17T07:12:16.2090061Z ... ) + 2 * rank * (1 + 1j) 2025-07-17T07:12:16.2090142Z >>> tensor 2025-07-17T07:12:16.2090276Z tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0 2025-07-17T07:12:16.2090424Z tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1 2025-07-17T07:12:16.2111685Z >>> dist.all_gather(tensor_list, tensor) 2025-07-17T07:12:16.2111895Z >>> tensor_list 2025-07-17T07:12:16.2112163Z [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0 2025-07-17T07:12:16.2112418Z [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1 2025-07-17T07:12:16.2112604Z 2025-07-17T07:12:16.2112685Z 2025-07-17T07:12:16.2112964Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2113044Z 2025-07-17T07:12:16.2113143Z warnings.warn(msg) 2025-07-17T07:12:16.2113237Z 2025-07-17T07:12:16.2113494Z --- Parse Warning: 50 / 136 --- 2025-07-17T07:12:16.2114541Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all_single in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4500. 2025-07-17T07:12:16.2114803Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2114886Z 2025-07-17T07:12:16.2115154Z Split input tensor and then scatter the split list to all processes in a group. 2025-07-17T07:12:16.2115233Z 2025-07-17T07:12:16.2115493Z Later the received tensors are concatenated from all the processes in the group 2025-07-17T07:12:16.2115629Z and returned as a single output tensor. 2025-07-17T07:12:16.2115710Z 2025-07-17T07:12:16.2115833Z Complex tensors are supported. 2025-07-17T07:12:16.2115912Z 2025-07-17T07:12:16.2115992Z Args: 2025-07-17T07:12:16.2116170Z output (Tensor): Gathered concatenated output tensor. 2025-07-17T07:12:16.2116298Z input (Tensor): Input tensor to scatter. 2025-07-17T07:12:16.2116519Z output_split_sizes: (list[Int], optional): Output split sizes for dim 0 2025-07-17T07:12:16.2116741Z if specified None or empty, dim 0 of ``output`` tensor must divide 2025-07-17T07:12:16.2116847Z equally by ``world_size``. 2025-07-17T07:12:16.2117055Z input_split_sizes: (list[Int], optional): Input split sizes for dim 0 2025-07-17T07:12:16.2117264Z if specified None or empty, dim 0 of ``input`` tensor must divide 2025-07-17T07:12:16.2117369Z equally by ``world_size``. 2025-07-17T07:12:16.2117609Z group (ProcessGroup, optional): The process group to work on. If None, 2025-07-17T07:12:16.2117735Z the default process group will be used. 2025-07-17T07:12:16.2117929Z async_op (bool, optional): Whether this op should be an async op. 2025-07-17T07:12:16.2118021Z 2025-07-17T07:12:16.2118104Z Returns: 2025-07-17T07:12:16.2118242Z Async work handle, if async_op is set to True. 2025-07-17T07:12:16.2118396Z None, if not async_op or if not part of the group. 2025-07-17T07:12:16.2118472Z 2025-07-17T07:12:16.2118572Z .. warning:: 2025-07-17T07:12:16.2118758Z `all_to_all_single` is experimental and subject to change. 2025-07-17T07:12:16.2118836Z 2025-07-17T07:12:16.2118934Z Examples: 2025-07-17T07:12:16.2119053Z >>> # xdoctest: +SKIP("Undefined rank") 2025-07-17T07:12:16.2119164Z >>> input = torch.arange(4) + rank * 4 2025-07-17T07:12:16.2119259Z >>> input 2025-07-17T07:12:16.2119358Z tensor([0, 1, 2, 3]) # Rank 0 2025-07-17T07:12:16.2119456Z tensor([4, 5, 6, 7]) # Rank 1 2025-07-17T07:12:16.2119596Z tensor([8, 9, 10, 11]) # Rank 2 2025-07-17T07:12:16.2119689Z tensor([12, 13, 14, 15]) # Rank 3 2025-07-17T07:12:16.2119827Z >>> output = torch.empty([4], dtype=torch.int64) 2025-07-17T07:12:16.2119962Z >>> dist.all_to_all_single(output, input) 2025-07-17T07:12:16.2120044Z >>> output 2025-07-17T07:12:16.2120142Z tensor([0, 4, 8, 12]) # Rank 0 2025-07-17T07:12:16.2120248Z tensor([1, 5, 9, 13]) # Rank 1 2025-07-17T07:12:16.2120346Z tensor([2, 6, 10, 14]) # Rank 2 2025-07-17T07:12:16.2120453Z tensor([3, 7, 11, 15]) # Rank 3 2025-07-17T07:12:16.2120530Z 2025-07-17T07:12:16.2120690Z >>> # Essentially, it is similar to following operation: 2025-07-17T07:12:16.2120839Z >>> scatter_list = list(input.chunk(world_size)) 2025-07-17T07:12:16.2120972Z >>> gather_list = list(output.chunk(world_size)) 2025-07-17T07:12:16.2121099Z >>> for i in range(world_size): 2025-07-17T07:12:16.2121340Z >>> dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i) 2025-07-17T07:12:16.2121417Z 2025-07-17T07:12:16.2121527Z >>> # Another example with uneven split 2025-07-17T07:12:16.2121614Z >>> input 2025-07-17T07:12:16.2121756Z tensor([0, 1, 2, 3, 4, 5]) # Rank 0 2025-07-17T07:12:16.2121919Z tensor([10, 11, 12, 13, 14, 15, 16, 17, 18]) # Rank 1 2025-07-17T07:12:16.2122116Z tensor([20, 21, 22, 23, 24]) # Rank 2 2025-07-17T07:12:16.2122269Z tensor([30, 31, 32, 33, 34, 35, 36]) # Rank 3 2025-07-17T07:12:16.2122375Z >>> input_splits 2025-07-17T07:12:16.2122494Z [2, 2, 1, 1] # Rank 0 2025-07-17T07:12:16.2122613Z [3, 2, 2, 2] # Rank 1 2025-07-17T07:12:16.2122746Z [2, 1, 1, 1] # Rank 2 2025-07-17T07:12:16.2122862Z [2, 2, 2, 1] # Rank 3 2025-07-17T07:12:16.2122967Z >>> output_splits 2025-07-17T07:12:16.2123084Z [2, 3, 2, 2] # Rank 0 2025-07-17T07:12:16.2123200Z [2, 2, 1, 2] # Rank 1 2025-07-17T07:12:16.2123334Z [1, 2, 1, 2] # Rank 2 2025-07-17T07:12:16.2123450Z [1, 2, 1, 1] # Rank 3 2025-07-17T07:12:16.2123539Z >>> output = ... 2025-07-17T07:12:16.2123752Z >>> dist.all_to_all_single(output, input, output_splits, input_splits) 2025-07-17T07:12:16.2123838Z >>> output 2025-07-17T07:12:16.2124006Z tensor([ 0, 1, 10, 11, 12, 20, 21, 30, 31]) # Rank 0 2025-07-17T07:12:16.2124157Z tensor([ 2, 3, 13, 14, 22, 32, 33]) # Rank 1 2025-07-17T07:12:16.2124308Z tensor([ 4, 15, 16, 23, 34, 35]) # Rank 2 2025-07-17T07:12:16.2124469Z tensor([ 5, 17, 18, 24, 36]) # Rank 3 2025-07-17T07:12:16.2124548Z 2025-07-17T07:12:16.2124628Z 2025-07-17T07:12:16.2124798Z >>> # Another example with tensors of torch.cfloat type. 2025-07-17T07:12:16.2124902Z >>> input = torch.tensor( 2025-07-17T07:12:16.2125050Z ... [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat 2025-07-17T07:12:16.2125142Z ... ) + 4 * rank * (1 + 1j) 2025-07-17T07:12:16.2125223Z >>> input 2025-07-17T07:12:16.2125406Z tensor([1+1j, 2+2j, 3+3j, 4+4j]) # Rank 0 2025-07-17T07:12:16.2125568Z tensor([5+5j, 6+6j, 7+7j, 8+8j]) # Rank 1 2025-07-17T07:12:16.2125774Z tensor([9+9j, 10+10j, 11+11j, 12+12j]) # Rank 2 2025-07-17T07:12:16.2125963Z tensor([13+13j, 14+14j, 15+15j, 16+16j]) # Rank 3 2025-07-17T07:12:16.2126101Z >>> output = torch.empty([4], dtype=torch.int64) 2025-07-17T07:12:16.2126223Z >>> dist.all_to_all_single(output, input) 2025-07-17T07:12:16.2126318Z >>> output 2025-07-17T07:12:16.2126487Z tensor([1+1j, 5+5j, 9+9j, 13+13j]) # Rank 0 2025-07-17T07:12:16.2126674Z tensor([2+2j, 6+6j, 10+10j, 14+14j]) # Rank 1 2025-07-17T07:12:16.2126841Z tensor([3+3j, 7+7j, 11+11j, 15+15j]) # Rank 2 2025-07-17T07:12:16.2127008Z tensor([4+4j, 8+8j, 12+12j, 16+16j]) # Rank 3 2025-07-17T07:12:16.2127099Z 2025-07-17T07:12:16.2127347Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2127449Z 2025-07-17T07:12:16.2127561Z warnings.warn(msg) 2025-07-17T07:12:16.2127639Z 2025-07-17T07:12:16.2127856Z --- Parse Warning: 51 / 136 --- 2025-07-17T07:12:16.2128785Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/distributed_c10d.py line=4642. 2025-07-17T07:12:16.2129048Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2129193Z 2025-07-17T07:12:16.2129558Z Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list. 2025-07-17T07:12:16.2129638Z 2025-07-17T07:12:16.2129758Z Complex tensors are supported. 2025-07-17T07:12:16.2129832Z 2025-07-17T07:12:16.2129915Z Args: 2025-07-17T07:12:16.2130143Z output_tensor_list (list[Tensor]): List of tensors to be gathered one 2025-07-17T07:12:16.2130233Z per rank. 2025-07-17T07:12:16.2130475Z input_tensor_list (list[Tensor]): List of tensors to scatter one per rank. 2025-07-17T07:12:16.2130702Z group (ProcessGroup, optional): The process group to work on. If None, 2025-07-17T07:12:16.2130826Z the default process group will be used. 2025-07-17T07:12:16.2131033Z async_op (bool, optional): Whether this op should be an async op. 2025-07-17T07:12:16.2131112Z 2025-07-17T07:12:16.2131194Z Returns: 2025-07-17T07:12:16.2131350Z Async work handle, if async_op is set to True. 2025-07-17T07:12:16.2131494Z None, if not async_op or if not part of the group. 2025-07-17T07:12:16.2131588Z 2025-07-17T07:12:16.2131677Z .. warning:: 2025-07-17T07:12:16.2131824Z `all_to_all` is experimental and subject to change. 2025-07-17T07:12:16.2131917Z 2025-07-17T07:12:16.2132002Z Examples: 2025-07-17T07:12:16.2132123Z >>> # xdoctest: +SKIP("Undefined rank") 2025-07-17T07:12:16.2132253Z >>> input = torch.arange(4) + rank * 4 2025-07-17T07:12:16.2132358Z >>> input = list(input.chunk(4)) 2025-07-17T07:12:16.2132443Z >>> input 2025-07-17T07:12:16.2132625Z [tensor([0]), tensor([1]), tensor([2]), tensor([3])] # Rank 0 2025-07-17T07:12:16.2132785Z [tensor([4]), tensor([5]), tensor([6]), tensor([7])] # Rank 1 2025-07-17T07:12:16.2132946Z [tensor([8]), tensor([9]), tensor([10]), tensor([11])] # Rank 2 2025-07-17T07:12:16.2133121Z [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3 2025-07-17T07:12:16.2133299Z >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4)) 2025-07-17T07:12:16.2133424Z >>> dist.all_to_all(output, input) 2025-07-17T07:12:16.2133507Z >>> output 2025-07-17T07:12:16.2133667Z [tensor([0]), tensor([4]), tensor([8]), tensor([12])] # Rank 0 2025-07-17T07:12:16.2133839Z [tensor([1]), tensor([5]), tensor([9]), tensor([13])] # Rank 1 2025-07-17T07:12:16.2134027Z [tensor([2]), tensor([6]), tensor([10]), tensor([14])] # Rank 2 2025-07-17T07:12:16.2134185Z [tensor([3]), tensor([7]), tensor([11]), tensor([15])] # Rank 3 2025-07-17T07:12:16.2134274Z 2025-07-17T07:12:16.2134432Z >>> # Essentially, it is similar to following operation: 2025-07-17T07:12:16.2134545Z >>> scatter_list = input 2025-07-17T07:12:16.2134638Z >>> gather_list = output 2025-07-17T07:12:16.2134743Z >>> for i in range(world_size): 2025-07-17T07:12:16.2134977Z >>> dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i) 2025-07-17T07:12:16.2135054Z 2025-07-17T07:12:16.2135135Z >>> input 2025-07-17T07:12:16.2135298Z tensor([0, 1, 2, 3, 4, 5]) # Rank 0 2025-07-17T07:12:16.2135453Z tensor([10, 11, 12, 13, 14, 15, 16, 17, 18]) # Rank 1 2025-07-17T07:12:16.2135627Z tensor([20, 21, 22, 23, 24]) # Rank 2 2025-07-17T07:12:16.2135795Z tensor([30, 31, 32, 33, 34, 35, 36]) # Rank 3 2025-07-17T07:12:16.2135887Z >>> input_splits 2025-07-17T07:12:16.2136018Z [2, 2, 1, 1] # Rank 0 2025-07-17T07:12:16.2136137Z [3, 2, 2, 2] # Rank 1 2025-07-17T07:12:16.2136253Z [2, 1, 1, 1] # Rank 2 2025-07-17T07:12:16.2136444Z [2, 2, 2, 1] # Rank 3 2025-07-17T07:12:16.2136540Z >>> output_splits 2025-07-17T07:12:16.2136659Z [2, 3, 2, 2] # Rank 0 2025-07-17T07:12:16.2136789Z [2, 2, 1, 2] # Rank 1 2025-07-17T07:12:16.2136904Z [1, 2, 1, 2] # Rank 2 2025-07-17T07:12:16.2137038Z [1, 2, 1, 1] # Rank 3 2025-07-17T07:12:16.2137165Z >>> input = list(input.split(input_splits)) 2025-07-17T07:12:16.2137245Z >>> input 2025-07-17T07:12:16.2137459Z [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])] # Rank 0 2025-07-17T07:12:16.2137660Z [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1 2025-07-17T07:12:16.2137877Z [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])] # Rank 2 2025-07-17T07:12:16.2138073Z [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])] # Rank 3 2025-07-17T07:12:16.2138165Z >>> output = ... 2025-07-17T07:12:16.2138290Z >>> dist.all_to_all(output, input) 2025-07-17T07:12:16.2138371Z >>> output 2025-07-17T07:12:16.2138567Z [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])] # Rank 0 2025-07-17T07:12:16.2138777Z [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])] # Rank 1 2025-07-17T07:12:16.2138976Z [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])] # Rank 2 2025-07-17T07:12:16.2139290Z [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])] # Rank 3 2025-07-17T07:12:16.2139374Z 2025-07-17T07:12:16.2139536Z >>> # Another example with tensors of torch.cfloat type. 2025-07-17T07:12:16.2139658Z >>> input = torch.tensor( 2025-07-17T07:12:16.2139796Z ... [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat 2025-07-17T07:12:16.2139890Z ... ) + 4 * rank * (1 + 1j) 2025-07-17T07:12:16.2140011Z >>> input = list(input.chunk(4)) 2025-07-17T07:12:16.2140094Z >>> input 2025-07-17T07:12:16.2140305Z [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])] # Rank 0 2025-07-17T07:12:16.2140531Z [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])] # Rank 1 2025-07-17T07:12:16.2140780Z [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])] # Rank 2 2025-07-17T07:12:16.2141008Z [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])] # Rank 3 2025-07-17T07:12:16.2141188Z >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4)) 2025-07-17T07:12:16.2141299Z >>> dist.all_to_all(output, input) 2025-07-17T07:12:16.2141397Z >>> output 2025-07-17T07:12:16.2141604Z [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])] # Rank 0 2025-07-17T07:12:16.2141811Z [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])] # Rank 1 2025-07-17T07:12:16.2142030Z [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])] # Rank 2 2025-07-17T07:12:16.2142232Z [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])] # Rank 3 2025-07-17T07:12:16.2142354Z 2025-07-17T07:12:16.2142431Z 2025-07-17T07:12:16.2142683Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2142776Z 2025-07-17T07:12:16.2142871Z warnings.warn(msg) 2025-07-17T07:12:16.2142949Z 2025-07-17T07:12:16.2143174Z --- Parse Warning: 52 / 136 --- 2025-07-17T07:12:16.2144076Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=__doc__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/launch.py line=2. 2025-07-17T07:12:16.2144355Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2144434Z 2025-07-17T07:12:16.2144551Z Module ``torch.distributed.launch``. 2025-07-17T07:12:16.2144642Z 2025-07-17T07:12:16.2144888Z ``torch.distributed.launch`` is a module that spawns up multiple distributed 2025-07-17T07:12:16.2145039Z training processes on each of the training nodes. 2025-07-17T07:12:16.2145131Z 2025-07-17T07:12:16.2145229Z .. warning:: 2025-07-17T07:12:16.2145313Z 2025-07-17T07:12:16.2145577Z This module is going to be deprecated in favor of :ref:`torchrun `. 2025-07-17T07:12:16.2145655Z 2025-07-17T07:12:16.2145889Z The utility can be used for single-node distributed training, in which one or 2025-07-17T07:12:16.2146132Z more processes per node will be spawned. The utility can be used for either 2025-07-17T07:12:16.2146349Z CPU training or GPU training. If the utility is used for GPU training, 2025-07-17T07:12:16.2146593Z each distributed process will be operating on a single GPU. This can achieve 2025-07-17T07:12:16.2146836Z well-improved single-node training performance. It can also be used in 2025-07-17T07:12:16.2147101Z multi-node distributed training, by spawning up multiple processes on each node 2025-07-17T07:12:16.2147343Z for well-improved multi-node distributed training performance as well. 2025-07-17T07:12:16.2147571Z This will especially be beneficial for systems with multiple Infiniband 2025-07-17T07:12:16.2147823Z interfaces that have direct-GPU support, since all of them can be utilized for 2025-07-17T07:12:16.2147951Z aggregated communication bandwidth. 2025-07-17T07:12:16.2148029Z 2025-07-17T07:12:16.2148260Z In both cases of single-node distributed training or multi-node distributed 2025-07-17T07:12:16.2148507Z training, this utility will launch the given number of processes per node 2025-07-17T07:12:16.2148729Z (``--nproc-per-node``). If used for GPU training, this number needs to be less 2025-07-17T07:12:16.2148955Z or equal to the number of GPUs on the current system (``nproc_per_node``), 2025-07-17T07:12:16.2149153Z and each process will be operating on a single GPU from *GPU 0 to 2025-07-17T07:12:16.2149259Z GPU (nproc_per_node - 1)*. 2025-07-17T07:12:16.2149349Z 2025-07-17T07:12:16.2149445Z **How to use this module:** 2025-07-17T07:12:16.2149549Z 2025-07-17T07:12:16.2149722Z 1. Single-Node multi-process distributed training 2025-07-17T07:12:16.2149799Z 2025-07-17T07:12:16.2149881Z :: 2025-07-17T07:12:16.2149969Z 2025-07-17T07:12:16.2150202Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-07-17T07:12:16.2150388Z YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other 2025-07-17T07:12:16.2150525Z arguments of your training script) 2025-07-17T07:12:16.2150605Z 2025-07-17T07:12:16.2150823Z 2. Multi-Node multi-process distributed training: (e.g. two nodes) 2025-07-17T07:12:16.2150901Z 2025-07-17T07:12:16.2150977Z 2025-07-17T07:12:16.2151130Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)* 2025-07-17T07:12:16.2151208Z 2025-07-17T07:12:16.2151288Z :: 2025-07-17T07:12:16.2151375Z 2025-07-17T07:12:16.2151634Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-07-17T07:12:16.2151791Z --nnodes=2 --node-rank=0 --master-addr="192.168.1.1" 2025-07-17T07:12:16.2152007Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2025-07-17T07:12:16.2152157Z and all other arguments of your training script) 2025-07-17T07:12:16.2152245Z 2025-07-17T07:12:16.2152327Z Node 2: 2025-07-17T07:12:16.2152402Z 2025-07-17T07:12:16.2152493Z :: 2025-07-17T07:12:16.2152570Z 2025-07-17T07:12:16.2152842Z python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE 2025-07-17T07:12:16.2153006Z --nnodes=2 --node-rank=1 --master-addr="192.168.1.1" 2025-07-17T07:12:16.2153206Z --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 2025-07-17T07:12:16.2153352Z and all other arguments of your training script) 2025-07-17T07:12:16.2153441Z 2025-07-17T07:12:16.2153602Z 3. To look up what optional arguments this module offers: 2025-07-17T07:12:16.2153679Z 2025-07-17T07:12:16.2153769Z :: 2025-07-17T07:12:16.2153845Z 2025-07-17T07:12:16.2153991Z python -m torch.distributed.launch --help 2025-07-17T07:12:16.2154069Z 2025-07-17T07:12:16.2154145Z 2025-07-17T07:12:16.2154252Z **Important Notices:** 2025-07-17T07:12:16.2154329Z 2025-07-17T07:12:16.2154511Z 1. This utility and multi-process distributed (single-node or 2025-07-17T07:12:16.2154770Z multi-node) GPU training currently only achieves the best performance using 2025-07-17T07:12:16.2155020Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to 2025-07-17T07:12:16.2155113Z use for GPU training. 2025-07-17T07:12:16.2155199Z 2025-07-17T07:12:16.2155409Z 2. In your training program, you must parse the command-line argument: 2025-07-17T07:12:16.2155646Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module. 2025-07-17T07:12:16.2155872Z If your training program uses GPUs, you should ensure that your code only 2025-07-17T07:12:16.2156064Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by: 2025-07-17T07:12:16.2156151Z 2025-07-17T07:12:16.2156256Z Parsing the local_rank argument 2025-07-17T07:12:16.2156331Z 2025-07-17T07:12:16.2156419Z :: 2025-07-17T07:12:16.2156494Z 2025-07-17T07:12:16.2156588Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2156689Z >>> import argparse 2025-07-17T07:12:16.2156817Z >>> parser = argparse.ArgumentParser() 2025-07-17T07:12:16.2157008Z >>> parser.add_argument("--local-rank", "--local_rank", type=int) 2025-07-17T07:12:16.2157126Z >>> args = parser.parse_args() 2025-07-17T07:12:16.2157203Z 2025-07-17T07:12:16.2157333Z Set your device to local rank using either 2025-07-17T07:12:16.2157410Z 2025-07-17T07:12:16.2157488Z :: 2025-07-17T07:12:16.2157579Z 2025-07-17T07:12:16.2157778Z >>> torch.cuda.set_device(args.local_rank) # before your code runs 2025-07-17T07:12:16.2157884Z 2025-07-17T07:12:16.2157977Z or 2025-07-17T07:12:16.2158052Z 2025-07-17T07:12:16.2158131Z :: 2025-07-17T07:12:16.2158227Z 2025-07-17T07:12:16.2158359Z >>> with torch.cuda.device(args.local_rank): 2025-07-17T07:12:16.2158453Z >>> # your code to run 2025-07-17T07:12:16.2158546Z >>> ... 2025-07-17T07:12:16.2158622Z 2025-07-17T07:12:16.2158722Z .. versionchanged:: 2.0.0 2025-07-17T07:12:16.2158811Z 2025-07-17T07:12:16.2159056Z The launcher will passes the ``--local-rank=`` argument to your script. 2025-07-17T07:12:16.2159301Z From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the 2025-07-17T07:12:16.2159441Z previously used underscored ``--local_rank``. 2025-07-17T07:12:16.2159519Z 2025-07-17T07:12:16.2159765Z For backward compatibility, it may be necessary for users to handle both 2025-07-17T07:12:16.2160056Z cases in their argument parsing code. This means including both ``"--local-rank"`` 2025-07-17T07:12:16.2160268Z and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is 2025-07-17T07:12:16.2160530Z provided, the launcher will trigger an error: "error: unrecognized arguments: 2025-07-17T07:12:16.2160757Z --local-rank=". For training code that only supports PyTorch 2.0.0+, 2025-07-17T07:12:16.2160917Z including ``"--local-rank"`` should be sufficient. 2025-07-17T07:12:16.2160994Z 2025-07-17T07:12:16.2161294Z 3. In your training program, you are supposed to call the following function 2025-07-17T07:12:16.2161543Z at the beginning to start the distributed backend. It is strongly recommended 2025-07-17T07:12:16.2161760Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work, 2025-07-17T07:12:16.2161948Z but ``env://`` is the one that is officially supported by this module. 2025-07-17T07:12:16.2162044Z 2025-07-17T07:12:16.2162128Z :: 2025-07-17T07:12:16.2162206Z 2025-07-17T07:12:16.2162423Z >>> torch.distributed.init_process_group(backend='YOUR BACKEND', 2025-07-17T07:12:16.2162566Z >>> init_method='env://') 2025-07-17T07:12:16.2162654Z 2025-07-17T07:12:16.2162887Z 4. In your training program, you can either use regular distributed functions 2025-07-17T07:12:16.2163121Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your 2025-07-17T07:12:16.2163342Z training program uses GPUs for training and you would like to use 2025-07-17T07:12:16.2163529Z :func:`torch.nn.parallel.DistributedDataParallel` module, 2025-07-17T07:12:16.2163634Z here is how to configure it. 2025-07-17T07:12:16.2163722Z 2025-07-17T07:12:16.2163803Z :: 2025-07-17T07:12:16.2163880Z 2025-07-17T07:12:16.2164084Z >>> model = torch.nn.parallel.DistributedDataParallel(model, 2025-07-17T07:12:16.2164223Z >>> device_ids=[args.local_rank], 2025-07-17T07:12:16.2164376Z >>> output_device=args.local_rank) 2025-07-17T07:12:16.2164454Z 2025-07-17T07:12:16.2164690Z Please ensure that ``device_ids`` argument is set to be the only GPU device id 2025-07-17T07:12:16.2164930Z that your code will be operating on. This is generally the local rank of the 2025-07-17T07:12:16.2165164Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``, 2025-07-17T07:12:16.2165377Z and ``output_device`` needs to be ``args.local_rank`` in order to use this 2025-07-17T07:12:16.2165469Z utility 2025-07-17T07:12:16.2165546Z 2025-07-17T07:12:16.2165797Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable 2025-07-17T07:12:16.2166006Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with 2025-07-17T07:12:16.2166221Z ``--use-env=True``. You must adjust the subprocess example above to replace 2025-07-17T07:12:16.2166451Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher 2025-07-17T07:12:16.2166617Z will not pass ``--local-rank`` when you specify this flag. 2025-07-17T07:12:16.2166696Z 2025-07-17T07:12:16.2166793Z .. warning:: 2025-07-17T07:12:16.2166871Z 2025-07-17T07:12:16.2167071Z ``local_rank`` is NOT globally unique: it is only unique per process 2025-07-17T07:12:16.2167266Z on a machine. Thus, don't use it to decide if you should, e.g., 2025-07-17T07:12:16.2167389Z write to a networked filesystem. See 2025-07-17T07:12:16.2167616Z https://github.com/pytorch/pytorch/issues/12042 for an example of 2025-07-17T07:12:16.2167777Z how things can go wrong if you don't do this correctly. 2025-07-17T07:12:16.2167853Z 2025-07-17T07:12:16.2167941Z 2025-07-17T07:12:16.2168017Z 2025-07-17T07:12:16.2168095Z 2025-07-17T07:12:16.2168394Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2168472Z 2025-07-17T07:12:16.2168564Z warnings.warn(msg) 2025-07-17T07:12:16.2168653Z 2025-07-17T07:12:16.2168859Z --- Parse Warning: 53 / 136 --- 2025-07-17T07:12:16.2170147Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=init_from_local_shards in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361. 2025-07-17T07:12:16.2170529Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2170620Z 2025-07-17T07:12:16.2170855Z Creates an :class:`ShardedTensor` from local shards and the global metadata. 2025-07-17T07:12:16.2171000Z Needs to be called on all ranks in an SPMD fashion. 2025-07-17T07:12:16.2171092Z 2025-07-17T07:12:16.2171173Z Args: 2025-07-17T07:12:16.2171443Z local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list 2025-07-17T07:12:16.2171623Z of shards that represent the local shards on this rank. 2025-07-17T07:12:16.2171846Z global_size (int...): a list, tuple, or `torch.Size` of integers defining the 2025-07-17T07:12:16.2171975Z shape of the overall sharded tensor. 2025-07-17T07:12:16.2172054Z 2025-07-17T07:12:16.2172138Z Keyword args: 2025-07-17T07:12:16.2172410Z process_group (ProcessGroup, optional): The process group to work on. If None, 2025-07-17T07:12:16.2172539Z the default process group will be used. 2025-07-17T07:12:16.2172706Z init_rrefs (bool, optional): Whether or not to initialize 2025-07-17T07:12:16.2172924Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2025-07-17T07:12:16.2173112Z Need to initialize the RPC Framework if specified as ``True``. 2025-07-17T07:12:16.2173206Z Default: ``False``. 2025-07-17T07:12:16.2173297Z 2025-07-17T07:12:16.2173381Z Returns: 2025-07-17T07:12:16.2173537Z A :class:`ShardedTensor` object handle on this rank 2025-07-17T07:12:16.2173616Z 2025-07-17T07:12:16.2173692Z 2025-07-17T07:12:16.2173783Z Examples: 2025-07-17T07:12:16.2174032Z Suppose we want construct a sharded tensor on two ranks, global size = (10, 5), 2025-07-17T07:12:16.2174207Z each shard have a (5, 5) local tensor, we can do it like below: 2025-07-17T07:12:16.2174296Z 2025-07-17T07:12:16.2174381Z on rank 0: 2025-07-17T07:12:16.2174501Z >>> # xdoctest: +SKIP("not distributed") 2025-07-17T07:12:16.2174633Z >>> local_shard_metadata = ShardMetadata( 2025-07-17T07:12:16.2174734Z >>> shard_offsets=[0, 0], 2025-07-17T07:12:16.2174830Z >>> shard_lengths=[5, 5], 2025-07-17T07:12:16.2174948Z >>> placement="rank:0/cuda:0" 2025-07-17T07:12:16.2175026Z >>> ) 2025-07-17T07:12:16.2175226Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2025-07-17T07:12:16.2175455Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2025-07-17T07:12:16.2175529Z 2025-07-17T07:12:16.2175618Z on rank 1: 2025-07-17T07:12:16.2175732Z >>> # xdoctest: +SKIP("not distributed") 2025-07-17T07:12:16.2175843Z >>> local_shard_metadata = ShardMetadata( 2025-07-17T07:12:16.2175950Z >>> shard_offsets=[5, 0], 2025-07-17T07:12:16.2176045Z >>> shard_lengths=[5, 5], 2025-07-17T07:12:16.2176148Z >>> placement="rank:1/cuda:1" 2025-07-17T07:12:16.2176238Z >>> ) 2025-07-17T07:12:16.2176422Z >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)] 2025-07-17T07:12:16.2176619Z >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5]) 2025-07-17T07:12:16.2176695Z 2025-07-17T07:12:16.2176938Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2177062Z 2025-07-17T07:12:16.2177158Z warnings.warn(msg) 2025-07-17T07:12:16.2177227Z 2025-07-17T07:12:16.2177436Z --- Parse Warning: 54 / 136 --- 2025-07-17T07:12:16.2178519Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835. 2025-07-17T07:12:16.2178786Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2178954Z 2025-07-17T07:12:16.2179288Z Initialize a ShardedTensor given only one local tensor, global sharded tensor 2025-07-17T07:12:16.2179411Z size and sharding spec on each rank. 2025-07-17T07:12:16.2179486Z 2025-07-17T07:12:16.2179562Z Args: 2025-07-17T07:12:16.2179792Z local_tensor (Tensor): Single tensor of local shard stored in each rank. 2025-07-17T07:12:16.2180052Z sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): 2025-07-17T07:12:16.2180214Z The specification describing how to shard the Tensor. 2025-07-17T07:12:16.2180389Z global_size (Sequence[int]): Size of the sharded tensor. 2025-07-17T07:12:16.2180634Z process_group (ProcessGroup, optional): The process group to aggregate on. 2025-07-17T07:12:16.2180732Z Default: None 2025-07-17T07:12:16.2180897Z init_rrefs (bool, optional): Whether or not to initialize 2025-07-17T07:12:16.2181097Z :class:`torch.distributed.rpc.RRef`s pointing to remote shards. 2025-07-17T07:12:16.2181292Z Need to initialize the RPC Framework if specified as ``True``. 2025-07-17T07:12:16.2181385Z Default: ``False``. 2025-07-17T07:12:16.2181458Z 2025-07-17T07:12:16.2181547Z Returns: 2025-07-17T07:12:16.2181785Z A :class:`ShardedTensor` sharded based on the given sharding_spec with local 2025-07-17T07:12:16.2181908Z tensor stored in the current rank. 2025-07-17T07:12:16.2181986Z 2025-07-17T07:12:16.2182063Z Examples: 2025-07-17T07:12:16.2182164Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2182297Z >>> # All tensors below are of torch.int64 type. 2025-07-17T07:12:16.2182406Z >>> # We have 2 process groups, 2 ranks. 2025-07-17T07:12:16.2182585Z >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank 2025-07-17T07:12:16.2182780Z >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2])) 2025-07-17T07:12:16.2182867Z >>> local_tensor 2025-07-17T07:12:16.2182974Z tensor([[1, 2, 3, 4]]) # Rank 0 2025-07-17T07:12:16.2183066Z tensor([[3, 4, 5, 6]]) # Rank 1 2025-07-17T07:12:16.2183156Z >>> sharding_dim = 0 2025-07-17T07:12:16.2183284Z >>> sharding_spec = ChunkShardingSpec( 2025-07-17T07:12:16.2183374Z dim=sharding_dim, 2025-07-17T07:12:16.2183478Z placements=[ 2025-07-17T07:12:16.2183572Z "rank:0/cuda:0", 2025-07-17T07:12:16.2183691Z "rank:1/cuda:1", 2025-07-17T07:12:16.2183777Z ], 2025-07-17T07:12:16.2183856Z ) 2025-07-17T07:12:16.2183985Z >>> st = ShardedTensor._init_from_local_tensor( 2025-07-17T07:12:16.2184117Z ... local_tensor, sharding_spec, [2, 4] 2025-07-17T07:12:16.2184194Z ... ) 2025-07-17T07:12:16.2184274Z >>> st 2025-07-17T07:12:16.2184374Z ShardedTensor( 2025-07-17T07:12:16.2184474Z ShardedTensorMetadata( 2025-07-17T07:12:16.2184570Z shards_metadata=[ 2025-07-17T07:12:16.2184853Z ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0), 2025-07-17T07:12:16.2185108Z ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1), 2025-07-17T07:12:16.2185202Z ], 2025-07-17T07:12:16.2185304Z size=torch.Size([2, 4]) 2025-07-17T07:12:16.2185408Z ) 2025-07-17T07:12:16.2185516Z >>> st.local_tensor() 2025-07-17T07:12:16.2185607Z tensor([1, 2, 3, 4]) # Rank 0 2025-07-17T07:12:16.2185699Z tensor([3, 4, 5, 6]) # Rank 1 2025-07-17T07:12:16.2185787Z 2025-07-17T07:12:16.2186047Z Warning: This API is experimental and subject to change. It lacks of a fully across 2025-07-17T07:12:16.2186291Z rank validations, and we only validate the local shard on the current rank. 2025-07-17T07:12:16.2186547Z We fully rely on the user to ensure local tensor is sharded based on the 2025-07-17T07:12:16.2186637Z sharding spec. 2025-07-17T07:12:16.2186723Z 2025-07-17T07:12:16.2186970Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2187044Z 2025-07-17T07:12:16.2187150Z warnings.warn(msg) 2025-07-17T07:12:16.2187224Z 2025-07-17T07:12:16.2187425Z --- Parse Warning: 55 / 136 --- 2025-07-17T07:12:16.2188482Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor.reshard in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076. 2025-07-17T07:12:16.2188739Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2188824Z 2025-07-17T07:12:16.2189070Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support 2025-07-17T07:12:16.2189162Z single local shard. 2025-07-17T07:12:16.2189252Z 2025-07-17T07:12:16.2189466Z If ``resharding_spec`` is same as the original one, this becomes a no-op. 2025-07-17T07:12:16.2189703Z If only ``resharding_spec`` shares the same sharding dim with the original one, 2025-07-17T07:12:16.2189821Z we swap local shards directly. 2025-07-17T07:12:16.2190074Z For more generic cases, we merge different shards across different ranks and split 2025-07-17T07:12:16.2190332Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API. 2025-07-17T07:12:16.2190410Z 2025-07-17T07:12:16.2190485Z Args: 2025-07-17T07:12:16.2190779Z resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The 2025-07-17T07:12:16.2190941Z specification describing how the tensor is sharded. 2025-07-17T07:12:16.2191015Z 2025-07-17T07:12:16.2191108Z Returns: 2025-07-17T07:12:16.2191305Z A :class:`ShardedTensor` object whose local shards are resharded. 2025-07-17T07:12:16.2191381Z 2025-07-17T07:12:16.2191471Z Examples: 2025-07-17T07:12:16.2191564Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2191678Z >>> # We have 2 process groups, 2 ranks. 2025-07-17T07:12:16.2191860Z >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank 2025-07-17T07:12:16.2191977Z >>> tensor = torch.stack([tensor, tensor]) 2025-07-17T07:12:16.2192069Z >>> tensor 2025-07-17T07:12:16.2192187Z tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0 2025-07-17T07:12:16.2192331Z tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1 2025-07-17T07:12:16.2192454Z tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2 2025-07-17T07:12:16.2192570Z tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3 2025-07-17T07:12:16.2192667Z >>> sharding_dim = 0 2025-07-17T07:12:16.2192785Z >>> spec = ChunkShardingSpec( 2025-07-17T07:12:16.2192877Z dim=sharding_dim, 2025-07-17T07:12:16.2192968Z placements=[ 2025-07-17T07:12:16.2193078Z "rank:0/cuda:0", 2025-07-17T07:12:16.2193165Z "rank:1/cuda:1", 2025-07-17T07:12:16.2193266Z "rank:2/cuda:2", 2025-07-17T07:12:16.2193359Z "rank:3/cuda:3", 2025-07-17T07:12:16.2193434Z ], 2025-07-17T07:12:16.2193520Z ) 2025-07-17T07:12:16.2193619Z >>> current_offsets = [0] * 2 2025-07-17T07:12:16.2193745Z >>> current_offsets[0] = rank * 2 2025-07-17T07:12:16.2193868Z >>> shard_metadata = ShardMetadata( 2025-07-17T07:12:16.2194012Z shard_offsets=copy.deepcopy(current_offsets), 2025-07-17T07:12:16.2194115Z shard_sizes=tensor.size(), 2025-07-17T07:12:16.2194245Z placement=spec.placements[rank], 2025-07-17T07:12:16.2194325Z ) 2025-07-17T07:12:16.2194427Z >>> local_shards = [ 2025-07-17T07:12:16.2194508Z Shard( 2025-07-17T07:12:16.2194598Z tensor=tensor, 2025-07-17T07:12:16.2194766Z metadata=shard_metadata, 2025-07-17T07:12:16.2194846Z ) 2025-07-17T07:12:16.2194921Z ] 2025-07-17T07:12:16.2195156Z >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size()) 2025-07-17T07:12:16.2195246Z >>> sharding_dim = 1 2025-07-17T07:12:16.2195365Z >>> resharding_spec = ChunkShardingSpec( 2025-07-17T07:12:16.2195472Z dim=sharding_dim, 2025-07-17T07:12:16.2195561Z placements=[ 2025-07-17T07:12:16.2195651Z "rank:0/cuda:0", 2025-07-17T07:12:16.2195753Z "rank:1/cuda:1", 2025-07-17T07:12:16.2195843Z "rank:2/cuda:2", 2025-07-17T07:12:16.2195944Z "rank:3/cuda:3", 2025-07-17T07:12:16.2196025Z ], 2025-07-17T07:12:16.2196104Z ) 2025-07-17T07:12:16.2196222Z >>> st.reshard(resharding_spec) 2025-07-17T07:12:16.2196333Z >>> tensor = st.local_shards()[0].tensor 2025-07-17T07:12:16.2196415Z >>> tensor 2025-07-17T07:12:16.2196564Z tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0 2025-07-17T07:12:16.2196698Z tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1 2025-07-17T07:12:16.2196828Z tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2 2025-07-17T07:12:16.2196978Z tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3 2025-07-17T07:12:16.2197059Z 2025-07-17T07:12:16.2197326Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2197406Z 2025-07-17T07:12:16.2197503Z warnings.warn(msg) 2025-07-17T07:12:16.2197596Z 2025-07-17T07:12:16.2197787Z --- Parse Warning: 56 / 136 --- 2025-07-17T07:12:16.2198776Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardingPlan in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12. 2025-07-17T07:12:16.2199051Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2199128Z 2025-07-17T07:12:16.2199357Z Representation of a sharding plan, describes how to shard a module 2025-07-17T07:12:16.2199627Z across hosts. `plan` is used to shard module parameters according to the spec provided, 2025-07-17T07:12:16.2199917Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output 2025-07-17T07:12:16.2200218Z layout of a module with a spec, and when to convert back to data parallel fashion. 2025-07-17T07:12:16.2200298Z 2025-07-17T07:12:16.2200381Z Args: 2025-07-17T07:12:16.2200662Z plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`, 2025-07-17T07:12:16.2200830Z :class:`torch.distributed._shard.sharder.Sharder`]): 2025-07-17T07:12:16.2201124Z a dict describes how to shard a module, there're currently two ways to shard a module: 2025-07-17T07:12:16.2201377Z 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of 2025-07-17T07:12:16.2201501Z a parameter to a `ShardingSpec`. 2025-07-17T07:12:16.2201769Z 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module 2025-07-17T07:12:16.2201874Z to a `Sharder` object. 2025-07-17T07:12:16.2202231Z output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional): 2025-07-17T07:12:16.2202503Z a dict specifies the layout of a module's output which produces a ShardedTensor, 2025-07-17T07:12:16.2202736Z keyed by the name of module to ShardingSpec("" in key means the root module). 2025-07-17T07:12:16.2202845Z Default: `None` 2025-07-17T07:12:16.2203095Z return_local_tensor (List[str], optional): a list of string, each element enables 2025-07-17T07:12:16.2203378Z a module's sharded output to be returned as a Tensor from its local shards to 2025-07-17T07:12:16.2203637Z ensure further processing in a data parallel fashion. ("" in list means the 2025-07-17T07:12:16.2203730Z root module). 2025-07-17T07:12:16.2203822Z Default: None 2025-07-17T07:12:16.2203919Z Example: 2025-07-17T07:12:16.2204199Z Suppose we want to shard a module with two linear layers and then run it with DDP, we also 2025-07-17T07:12:16.2204495Z want to convert the output of the second linear layer back to DDP, we can do it as follows: 2025-07-17T07:12:16.2204576Z 2025-07-17T07:12:16.2204746Z >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d) 2025-07-17T07:12:16.2204867Z >>> class MyModule(nn.Module): 2025-07-17T07:12:16.2204973Z >>> def __init__(self) -> None: 2025-07-17T07:12:16.2205071Z >>> super().__init__() 2025-07-17T07:12:16.2205188Z >>> self.fc1 = nn.Linear() 2025-07-17T07:12:16.2205293Z >>> self.gelu = nn.GELU() 2025-07-17T07:12:16.2205394Z >>> self.fc2 = nn.Linear() 2025-07-17T07:12:16.2205512Z >>> self.relu = nn.Linear() 2025-07-17T07:12:16.2205590Z >>> 2025-07-17T07:12:16.2205693Z >>> def forward(self, input): 2025-07-17T07:12:16.2205871Z >>> return self.relu(self.fc2(self.gelu(self.fc1(input)))) 2025-07-17T07:12:16.2205950Z 2025-07-17T07:12:16.2206036Z 2025-07-17T07:12:16.2206165Z >>> # xdoctest: +SKIP("Undefined spec1, spec2) 2025-07-17T07:12:16.2206274Z >>> sharding_plan = ShardingPlan( 2025-07-17T07:12:16.2206371Z >>> plan={ 2025-07-17T07:12:16.2206468Z >>> "fc1.weight": spec1, 2025-07-17T07:12:16.2206564Z >>> "fc2.weight": spec2 2025-07-17T07:12:16.2206654Z >>> }, 2025-07-17T07:12:16.2206746Z >>> output_plan={ 2025-07-17T07:12:16.2206841Z >>> "fc2": output_spec 2025-07-17T07:12:16.2206932Z >>> }, 2025-07-17T07:12:16.2207040Z >>> return_local_tensor=["fc2"] 2025-07-17T07:12:16.2207130Z >>> ) 2025-07-17T07:12:16.2207206Z 2025-07-17T07:12:16.2207456Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2207544Z 2025-07-17T07:12:16.2207637Z warnings.warn(msg) 2025-07-17T07:12:16.2207711Z 2025-07-17T07:12:16.2207912Z --- Parse Warning: 57 / 136 --- 2025-07-17T07:12:16.2209051Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=post_localSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72. 2025-07-17T07:12:16.2209313Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2209404Z 2025-07-17T07:12:16.2209513Z Run post-localSGD algorithm. 2025-07-17T07:12:16.2209606Z 2025-07-17T07:12:16.2209843Z This DDP communication hook is used for running post-localSGD algorithm, 2025-07-17T07:12:16.2210000Z by combining with a model averaging component (e.g., 2025-07-17T07:12:16.2210339Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`) 2025-07-17T07:12:16.2210450Z that runs after the optimizer step. 2025-07-17T07:12:16.2210528Z 2025-07-17T07:12:16.2210646Z Args: 2025-07-17T07:12:16.2210869Z state (PostLocalSGDState): State information to run post-localSGD. 2025-07-17T07:12:16.2211143Z Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD. 2025-07-17T07:12:16.2211573Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2025-07-17T07:12:16.2211819Z Note that since DDP comm hook only supports single process single device mode, 2025-07-17T07:12:16.2212027Z only exactly one tensor is stored in this bucket. 2025-07-17T07:12:16.2212105Z 2025-07-17T07:12:16.2212187Z Returns: 2025-07-17T07:12:16.2212436Z Future handler of the communication, which updates the gradients in place. 2025-07-17T07:12:16.2212513Z 2025-07-17T07:12:16.2212605Z Example:: 2025-07-17T07:12:16.2212712Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2212962Z >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup, 2025-07-17T07:12:16.2213094Z start_localSGD_iter=10) 2025-07-17T07:12:16.2213263Z >>> ddp_model.register_comm_hook(state, post_localSGD_hook) 2025-07-17T07:12:16.2213595Z >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``. 2025-07-17T07:12:16.2213950Z >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module. 2025-07-17T07:12:16.2214031Z 2025-07-17T07:12:16.2214287Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2214377Z 2025-07-17T07:12:16.2214471Z warnings.warn(msg) 2025-07-17T07:12:16.2214549Z 2025-07-17T07:12:16.2214745Z --- Parse Warning: 58 / 136 --- 2025-07-17T07:12:16.2215804Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=powerSGD_hook in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342. 2025-07-17T07:12:16.2216078Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2216155Z 2025-07-17T07:12:16.2216262Z Implement PowerSGD algorithm. 2025-07-17T07:12:16.2216352Z 2025-07-17T07:12:16.2216575Z This DDP communication hook implements PowerSGD gradient compression 2025-07-17T07:12:16.2216814Z algorithm described in the `paper `_. 2025-07-17T07:12:16.2217070Z Once gradient tensors are aggregated across all workers, this hook applies 2025-07-17T07:12:16.2217170Z compression as follows: 2025-07-17T07:12:16.2217260Z 2025-07-17T07:12:16.2217696Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups: 2025-07-17T07:12:16.2217775Z 2025-07-17T07:12:16.2218205Z 1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth. 2025-07-17T07:12:16.2218317Z 2025-07-17T07:12:16.2218722Z 1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases). 2025-07-17T07:12:16.2218809Z 2025-07-17T07:12:16.2218914Z 2. Handles uncompressed tensors: 2025-07-17T07:12:16.2219000Z 2025-07-17T07:12:16.2219634Z 2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression; 2025-07-17T07:12:16.2219719Z 2025-07-17T07:12:16.2220067Z 2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor. 2025-07-17T07:12:16.2220145Z 2025-07-17T07:12:16.2220375Z 3. Handles the tensors that should be compressed by PowerSGD compression: 2025-07-17T07:12:16.2220465Z 2025-07-17T07:12:16.2220700Z 3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M, 2025-07-17T07:12:16.2221042Z such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized; 2025-07-17T07:12:16.2221131Z 2025-07-17T07:12:16.2221273Z 3.2. Computes each P in Ps, which is equal to MQ; 2025-07-17T07:12:16.2221360Z 2025-07-17T07:12:16.2221465Z 3.3. Allreduces Ps as a batch; 2025-07-17T07:12:16.2221544Z 2025-07-17T07:12:16.2221665Z 3.4. Orthogonalizes each P in Ps; 2025-07-17T07:12:16.2221740Z 2025-07-17T07:12:16.2221984Z 3.5. Computes each Q in Qs, which is approximately equal to M^TP; 2025-07-17T07:12:16.2222072Z 2025-07-17T07:12:16.2222175Z 3.6. Allreduces Qs as a batch; 2025-07-17T07:12:16.2222252Z 2025-07-17T07:12:16.2222554Z 3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T. 2025-07-17T07:12:16.2222631Z 2025-07-17T07:12:16.2223050Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations. 2025-07-17T07:12:16.2223332Z This not only gives the user more control over the tradeoff between speedup and accuracy, 2025-07-17T07:12:16.2223762Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers. 2025-07-17T07:12:16.2223852Z 2025-07-17T07:12:16.2223934Z Args: 2025-07-17T07:12:16.2224365Z state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc. 2025-07-17T07:12:16.2224737Z To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter`` 2025-07-17T07:12:16.2224846Z and ``min_compression_rate``. 2025-07-17T07:12:16.2225271Z bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors. 2025-07-17T07:12:16.2225515Z Note that since DDP comm hook only supports single process single device mode, 2025-07-17T07:12:16.2225668Z only exactly one tensor is stored in this bucket. 2025-07-17T07:12:16.2225756Z 2025-07-17T07:12:16.2225838Z Returns: 2025-07-17T07:12:16.2226077Z Future handler of the communication, which updates the gradients in place. 2025-07-17T07:12:16.2226164Z 2025-07-17T07:12:16.2226253Z Example:: 2025-07-17T07:12:16.2226349Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2226629Z >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1, 2025-07-17T07:12:16.2226789Z start_powerSGD_iter=10, min_compression_rate=0.5) 2025-07-17T07:12:16.2226957Z >>> ddp_model.register_comm_hook(state, powerSGD_hook) 2025-07-17T07:12:16.2227034Z 2025-07-17T07:12:16.2227284Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2227372Z 2025-07-17T07:12:16.2227468Z warnings.warn(msg) 2025-07-17T07:12:16.2227551Z 2025-07-17T07:12:16.2227796Z --- Parse Warning: 59 / 136 --- 2025-07-17T07:12:16.2228905Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PeriodicModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38. 2025-07-17T07:12:16.2229181Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2229258Z 2025-07-17T07:12:16.2229449Z Averages parameters periodically after the warm-up stage. 2025-07-17T07:12:16.2229541Z 2025-07-17T07:12:16.2229798Z This can be used for running `post-local SGD `_, 2025-07-17T07:12:16.2229988Z by running :class:`~torch.nn.DistributedDataParallel` (DDP) 2025-07-17T07:12:16.2230233Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`. 2025-07-17T07:12:16.2230337Z 2025-07-17T07:12:16.2230417Z Args: 2025-07-17T07:12:16.2230593Z period (int): The number of steps per model averaging. 2025-07-17T07:12:16.2230858Z Usually the period should be greater than ``1`` to reduce the communication cost. 2025-07-17T07:12:16.2230997Z Otherwise, only DDP needs to be used. 2025-07-17T07:12:16.2231199Z warmup_steps (int): The number of warm-up steps. During this stage, 2025-07-17T07:12:16.2231317Z model averaging is skipped. 2025-07-17T07:12:16.2231573Z process_group: The process group to be used for all-reduce. 2025-07-17T07:12:16.2231712Z If ``None``, the default process group, which 2025-07-17T07:12:16.2231899Z is created by :func:`torch.distributed.init_process_group`, 2025-07-17T07:12:16.2232035Z will be used. (default: ``None``) 2025-07-17T07:12:16.2232112Z 2025-07-17T07:12:16.2232218Z Example:: 2025-07-17T07:12:16.2232297Z 2025-07-17T07:12:16.2232424Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:16.2232528Z >>> import torch 2025-07-17T07:12:16.2232643Z >>> import torch.distributed as dist 2025-07-17T07:12:16.2232952Z >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD 2025-07-17T07:12:16.2233229Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2025-07-17T07:12:16.2233330Z >>> import torch.nn as nn 2025-07-17T07:12:16.2233410Z >>> 2025-07-17T07:12:16.2233599Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2025-07-17T07:12:16.2233704Z >>> torch.cuda.set_device(rank) 2025-07-17T07:12:16.2233840Z >>> module = nn.Linear(1, 1, bias=False).cuda() 2025-07-17T07:12:16.2233990Z >>> model = nn.parallel.DistributedDataParallel( 2025-07-17T07:12:16.2234126Z >>> module, device_ids=[rank], output_device=rank 2025-07-17T07:12:16.2234218Z >>> ) 2025-07-17T07:12:16.2234361Z >>> # Register a post-localSGD communication hook. 2025-07-17T07:12:16.2234652Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2025-07-17T07:12:16.2234822Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-07-17T07:12:16.2234902Z >>> 2025-07-17T07:12:16.2235173Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2025-07-17T07:12:16.2235325Z >>> # After 100 steps, run model averaging every 4 steps. 2025-07-17T07:12:16.2235639Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-07-17T07:12:16.2235896Z >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2025-07-17T07:12:16.2235997Z >>> for step in range(0, 200): 2025-07-17T07:12:16.2236098Z >>> optimizer.zero_grad() 2025-07-17T07:12:16.2236224Z >>> loss = loss_fn(output, labels) 2025-07-17T07:12:16.2236349Z >>> loss.backward() 2025-07-17T07:12:16.2236459Z >>> optimizer.step() 2025-07-17T07:12:16.2236649Z >>> # Will average model parameters globally every 4 steps. Thus, 2025-07-17T07:12:16.2236846Z >>> # inter-node communication only occurs every 4 iterations after 2025-07-17T07:12:16.2236982Z >>> # the initial ``warmup_steps`` period. 2025-07-17T07:12:16.2237139Z >>> averager.average_parameters(model.parameters()) 2025-07-17T07:12:16.2237216Z 2025-07-17T07:12:16.2237480Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2237557Z 2025-07-17T07:12:16.2237652Z warnings.warn(msg) 2025-07-17T07:12:16.2237738Z 2025-07-17T07:12:16.2237927Z --- Parse Warning: 60 / 136 --- 2025-07-17T07:12:16.2239148Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=HierarchicalModelAverager in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19. 2025-07-17T07:12:16.2239437Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2239517Z 2025-07-17T07:12:16.2239860Z Runs hierarchical model averaging (`hierarchical SGD `_). 2025-07-17T07:12:16.2239936Z 2025-07-17T07:12:16.2240295Z Process groups of different sizes are organized in a hierarchy, and they average parameters 2025-07-17T07:12:16.2240510Z by using different periods concurrently after the warm-up stage. 2025-07-17T07:12:16.2240913Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager` 2025-07-17T07:12:16.2241256Z that supports `post-local SGD `_, which essentially only supports 2025-07-17T07:12:16.2241559Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine 2025-07-17T07:12:16.2241910Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`. 2025-07-17T07:12:16.2242217Z Similarly, the process groups within this class do not have such an intra-machine process 2025-07-17T07:12:16.2242488Z subgroup, which should be embedded by the post-local SGD communication hook instead. 2025-07-17T07:12:16.2242574Z 2025-07-17T07:12:16.2242654Z Args: 2025-07-17T07:12:16.2242915Z period_group_size_dict: An ordered dict mapping keys of model averaging period to 2025-07-17T07:12:16.2243123Z process group size, used for initializing process groups of 2025-07-17T07:12:16.2243346Z different sizes in a hierarchy to average parameters concurrently. 2025-07-17T07:12:16.2243557Z Particularly, at each iteration, there will be at most a single 2025-07-17T07:12:16.2243795Z process group that runs averaging -- the period of such group should 2025-07-17T07:12:16.2244007Z have the largest period which the current step can be divided by. 2025-07-17T07:12:16.2244180Z For example, if the dict has three keys: 2, 4, and 8, 2025-07-17T07:12:16.2244384Z then this means totally three process groups will be created to 2025-07-17T07:12:16.2244594Z average parameters every 2, 4, and 8 iterations, respectively. 2025-07-17T07:12:16.2244791Z At the 4th iteration, only the second process group will run 2025-07-17T07:12:16.2244964Z averaging, because the first process group should be a 2025-07-17T07:12:16.2245192Z subset of the second process group, and no need to execute the first 2025-07-17T07:12:16.2245315Z process group redundantly. 2025-07-17T07:12:16.2245543Z On the other hand, the third process group can only be triggered 2025-07-17T07:12:16.2245777Z every 8 iterations, so it will not be triggered at the 4th iteration. 2025-07-17T07:12:16.2246077Z warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped. 2025-07-17T07:12:16.2246523Z process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging. 2025-07-17T07:12:16.2246708Z If ``None``, the default process group, which is created 2025-07-17T07:12:16.2246914Z by :func:`torch.distributed.init_process_group`, will be used. 2025-07-17T07:12:16.2247046Z (default: ``None``) 2025-07-17T07:12:16.2247159Z 2025-07-17T07:12:16.2247245Z Example:: 2025-07-17T07:12:16.2247375Z >>> # xdoctest: +SKIP('undefined rank') 2025-07-17T07:12:16.2247492Z >>> from collections import OrderedDict 2025-07-17T07:12:16.2247583Z >>> import torch 2025-07-17T07:12:16.2247710Z >>> import torch.distributed as dist 2025-07-17T07:12:16.2247979Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2025-07-17T07:12:16.2248091Z >>> PostLocalSGDState, 2025-07-17T07:12:16.2248191Z >>> post_localSGD_hook, 2025-07-17T07:12:16.2248319Z >>> ) 2025-07-17T07:12:16.2248700Z >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD 2025-07-17T07:12:16.2248798Z >>> import torch.nn as nn 2025-07-17T07:12:16.2248877Z >>> 2025-07-17T07:12:16.2249060Z >>> dist.init_process_group("nccl", rank=rank, world_size=16) 2025-07-17T07:12:16.2249168Z >>> torch.cuda.set_device(rank) 2025-07-17T07:12:16.2249302Z >>> module = nn.Linear(1, 1, bias=False).to(rank) 2025-07-17T07:12:16.2249464Z >>> model = nn.parallel.DistributedDataParallel( 2025-07-17T07:12:16.2249601Z >>> module, device_ids=[rank], output_device=rank 2025-07-17T07:12:16.2249691Z >>> ) 2025-07-17T07:12:16.2249831Z >>> # Register a post-localSGD communication hook. 2025-07-17T07:12:16.2250103Z >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4. 2025-07-17T07:12:16.2250231Z >>> subgroup, _ = dist.new_subgroups() 2025-07-17T07:12:16.2250544Z >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100) 2025-07-17T07:12:16.2250703Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-07-17T07:12:16.2250793Z >>> 2025-07-17T07:12:16.2251072Z >>> # Average parameters among each group of 8 processes every 4 iterations, and among all 2025-07-17T07:12:16.2251211Z >>> # the 16 processes every 16 iterations. 2025-07-17T07:12:16.2251394Z >>> averager = hierarchicalSGD.HierarchicalModelAverager( 2025-07-17T07:12:16.2251624Z >>> period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100) 2025-07-17T07:12:16.2251945Z >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-07-17T07:12:16.2252208Z >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step. 2025-07-17T07:12:16.2252360Z >>> # After 100 steps, run model averaging at two levels. 2025-07-17T07:12:16.2252473Z >>> for step in range(0, 200): 2025-07-17T07:12:16.2252574Z >>> optimizer.zero_grad() 2025-07-17T07:12:16.2252699Z >>> loss = loss_fn(output, labels) 2025-07-17T07:12:16.2252794Z >>> loss.backward() 2025-07-17T07:12:16.2252891Z >>> optimizer.step() 2025-07-17T07:12:16.2253054Z >>> # Average parameters after ``optimizer.step()``. 2025-07-17T07:12:16.2253366Z >>> # Thus, the inter-node communication only occurs periodically after ``warmup_steps``. 2025-07-17T07:12:16.2253520Z >>> averager.average_parameters(model.parameters()) 2025-07-17T07:12:16.2253610Z 2025-07-17T07:12:16.2253697Z .. warning :: 2025-07-17T07:12:16.2253944Z The last group size in the dict must be the size of the provided ``process_group``, 2025-07-17T07:12:16.2254186Z which indicates model averaging at the highest level of the hierarchy. 2025-07-17T07:12:16.2254489Z If ``process_group`` is not provided, then the last group size should be equal to the world size. 2025-07-17T07:12:16.2254580Z 2025-07-17T07:12:16.2254665Z .. warning :: 2025-07-17T07:12:16.2254896Z `HierarchicalModelAverager` is experimental and subject to change. 2025-07-17T07:12:16.2254987Z 2025-07-17T07:12:16.2255232Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2255335Z 2025-07-17T07:12:16.2255440Z warnings.warn(msg) 2025-07-17T07:12:16.2255515Z 2025-07-17T07:12:16.2255709Z --- Parse Warning: 61 / 136 --- 2025-07-17T07:12:16.2256794Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=40. 2025-07-17T07:12:16.2257054Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2257193Z 2025-07-17T07:12:16.2257480Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint 2025-07-17T07:12:16.2257724Z on the coordinator rank, and then broadcast and shard each tensor to all ranks. 2025-07-17T07:12:16.2257812Z 2025-07-17T07:12:16.2257969Z . N.B. Intended to be used with DynamicMetaLoadPlanner 2025-07-17T07:12:16.2258049Z 2025-07-17T07:12:16.2258144Z .. warning:: 2025-07-17T07:12:16.2258315Z Current implementation only supports loading Tensors. 2025-07-17T07:12:16.2258405Z 2025-07-17T07:12:16.2258517Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:16.2258609Z >>> sd = {"mode": model} 2025-07-17T07:12:16.2258704Z >>> dcp.load( 2025-07-17T07:12:16.2258783Z >>> sd, 2025-07-17T07:12:16.2258932Z >>> storage_reader=BroadcastingTorchSaveReader(), 2025-07-17T07:12:16.2259139Z >>> planner=DynamicMetaLoadPlanner(), 2025-07-17T07:12:16.2259261Z >>> checkpoint_id="path_to_model.pt" 2025-07-17T07:12:16.2259342Z >>> ) 2025-07-17T07:12:16.2259429Z 2025-07-17T07:12:16.2259676Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2259752Z 2025-07-17T07:12:16.2259860Z warnings.warn(msg) 2025-07-17T07:12:16.2259936Z 2025-07-17T07:12:16.2260158Z --- Parse Warning: 62 / 136 --- 2025-07-17T07:12:16.2261201Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/format_utils.py line=151. 2025-07-17T07:12:16.2261462Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2261552Z 2025-07-17T07:12:16.2261915Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict, 2025-07-17T07:12:16.2262237Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a 2025-07-17T07:12:16.2262363Z metadata file, like Torch Save files. 2025-07-17T07:12:16.2262439Z 2025-07-17T07:12:16.2262626Z . N.B. Intended to be used with BroadcastingTorchSaveReader 2025-07-17T07:12:16.2262704Z 2025-07-17T07:12:16.2262792Z .. warning:: 2025-07-17T07:12:16.2262969Z Current implementation only supports loading Tensors. 2025-07-17T07:12:16.2263089Z 2025-07-17T07:12:16.2263201Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:16.2263308Z >>> sd = {"mode": model} 2025-07-17T07:12:16.2263395Z >>> dcp.load( 2025-07-17T07:12:16.2263475Z >>> sd, 2025-07-17T07:12:16.2263636Z >>> storage_reader=BroadcastingTorchSaveReader(), 2025-07-17T07:12:16.2263757Z >>> planner=DynamicMetaLoadPlanner(), 2025-07-17T07:12:16.2263882Z >>> checkpoint_id="path_to_model.pt" 2025-07-17T07:12:16.2263961Z >>> ) 2025-07-17T07:12:16.2264040Z 2025-07-17T07:12:16.2264305Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2264381Z 2025-07-17T07:12:16.2264474Z warnings.warn(msg) 2025-07-17T07:12:16.2264563Z 2025-07-17T07:12:16.2264743Z --- Parse Warning: 63 / 136 --- 2025-07-17T07:12:16.2265793Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/optimizer.py line=221. 2025-07-17T07:12:16.2266094Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2266172Z 2025-07-17T07:12:16.2266390Z Load a state_dict in conjunction with FSDP sharded optimizer state. 2025-07-17T07:12:16.2266467Z 2025-07-17T07:12:16.2266630Z This is the current recommended way to checkpoint FSDP. 2025-07-17T07:12:16.2266736Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2266951Z >>> import torch.distributed.checkpoint as dist_cp 2025-07-17T07:12:16.2267033Z >>> # Save 2025-07-17T07:12:16.2267141Z >>> model: torch.nn.Model 2025-07-17T07:12:16.2267257Z >>> optim_params = model.parameters() 2025-07-17T07:12:16.2267397Z >>> optim = torch.optim.SGD(optim_params, lr=0.01) 2025-07-17T07:12:16.2267489Z >>> # Save 2025-07-17T07:12:16.2267707Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT): 2025-07-17T07:12:16.2267815Z >>> state_dict = { 2025-07-17T07:12:16.2267969Z >>> "optimizer": FSDP.optim_state_dict(model, optim), 2025-07-17T07:12:16.2268079Z >>> "model": model.state_dict() 2025-07-17T07:12:16.2268172Z >>> } 2025-07-17T07:12:16.2268275Z >>> dist_cp.save_state_dict( 2025-07-17T07:12:16.2268378Z >>> state_dict=optim_state, 2025-07-17T07:12:16.2268567Z >>> storage_writer=dist_cp.FileSystemWriter("checkpoint"), 2025-07-17T07:12:16.2268702Z >>> planner=dist_cp.DefaultSavePlanner(), 2025-07-17T07:12:16.2268780Z >>> ) 2025-07-17T07:12:16.2268875Z >>> 2025-07-17T07:12:16.2268956Z >>> # Load 2025-07-17T07:12:16.2269182Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT): 2025-07-17T07:12:16.2269324Z >>> model_state_dict = model_tp.state_dict() 2025-07-17T07:12:16.2269596Z >>> checkpoint = { 2025-07-17T07:12:16.2269714Z >>> "model": model_state_dict 2025-07-17T07:12:16.2269797Z >>> } 2025-07-17T07:12:16.2269900Z >>> dist_cp.load_state_dict( 2025-07-17T07:12:16.2270016Z >>> state_dict=checkpoint, 2025-07-17T07:12:16.2270205Z >>> storage_reader=dist_cp.FileSystemReader(checkpoint_file), 2025-07-17T07:12:16.2270337Z >>> planner=dist_cp.DefaultLoadPlanner(), 2025-07-17T07:12:16.2270432Z >>> ) 2025-07-17T07:12:16.2270580Z >>> model.load_state_dict(checkpoint["model_state"]) 2025-07-17T07:12:16.2270661Z >>> 2025-07-17T07:12:16.2270848Z >>> optim_state = dist_cp.load_sharded_optimizer_state_dict( 2025-07-17T07:12:16.2270946Z >>> model_state_dict, 2025-07-17T07:12:16.2271067Z >>> optimizer_key="optimizer", 2025-07-17T07:12:16.2271242Z >>> storage_reader=dist_cp.FileSystemReader("checkpoint"), 2025-07-17T07:12:16.2271321Z >>> ) 2025-07-17T07:12:16.2271415Z >>> 2025-07-17T07:12:16.2271557Z >>> flattened_osd = FSDP.optim_state_dict_to_load( 2025-07-17T07:12:16.2271763Z >>> model, optim, optim_state["optimizer"] 2025-07-17T07:12:16.2271856Z >>> ) 2025-07-17T07:12:16.2271935Z >>> 2025-07-17T07:12:16.2272056Z >>> optim.load_state_dict(flattened_osd) 2025-07-17T07:12:16.2272146Z 2025-07-17T07:12:16.2272395Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2272490Z 2025-07-17T07:12:16.2272585Z warnings.warn(msg) 2025-07-17T07:12:16.2272660Z 2025-07-17T07:12:16.2272869Z --- Parse Warning: 64 / 136 --- 2025-07-17T07:12:16.2273820Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-07-17T07:12:16.2274078Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2274207Z 2025-07-17T07:12:16.2274490Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-07-17T07:12:16.2274566Z 2025-07-17T07:12:16.2274868Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-07-17T07:12:16.2274944Z 2025-07-17T07:12:16.2275227Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-07-17T07:12:16.2275339Z will be visible to the whole process. 2025-07-17T07:12:16.2275416Z 2025-07-17T07:12:16.2275770Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-07-17T07:12:16.2275847Z 2025-07-17T07:12:16.2275963Z 1) set_up_planner - called on all ranks. 2025-07-17T07:12:16.2276092Z Signals the start of a checkpoint save. 2025-07-17T07:12:16.2276168Z 2025-07-17T07:12:16.2276286Z 2) create_local_plan - called on all ranks. 2025-07-17T07:12:16.2276579Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-07-17T07:12:16.2276655Z 2025-07-17T07:12:16.2276849Z 3) create_global_plan - called on the coordinator rank only. 2025-07-17T07:12:16.2277042Z Takes the SavePlan from all ranks and make any global decision. 2025-07-17T07:12:16.2277117Z 2025-07-17T07:12:16.2277237Z 4) finish_plan - called on all ranks. 2025-07-17T07:12:16.2277446Z This gives each rank a chance to adjust to global planning decisions. 2025-07-17T07:12:16.2277522Z 2025-07-17T07:12:16.2277687Z 5) resolve_data - called multiple times on each rank 2025-07-17T07:12:16.2277886Z Lookups a value on the `state_dict` for the storage layer to write. 2025-07-17T07:12:16.2277966Z 2025-07-17T07:12:16.2278280Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-07-17T07:12:16.2278465Z most changes can be expressed by changes in a single method. 2025-07-17T07:12:16.2278555Z 2025-07-17T07:12:16.2278676Z There are 3 usual patterns of extension: 2025-07-17T07:12:16.2278753Z 2025-07-17T07:12:16.2279013Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-07-17T07:12:16.2279236Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-07-17T07:12:16.2279315Z 2025-07-17T07:12:16.2279437Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:16.2279568Z >>> class RenamePlanner(DefaultSavePlanner): 2025-07-17T07:12:16.2279664Z >>> def set_up_planner( 2025-07-17T07:12:16.2279764Z >>> self, 2025-07-17T07:12:16.2279871Z >>> state_dict: STATE_DICT_TYPE, 2025-07-17T07:12:16.2280008Z >>> storage_meta: Optional[StorageMeta], 2025-07-17T07:12:16.2280109Z >>> is_coordinator: bool, 2025-07-17T07:12:16.2280194Z >>> ) -> None: 2025-07-17T07:12:16.2280311Z >>> # prefix all keys with `foo_`` 2025-07-17T07:12:16.2280603Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-07-17T07:12:16.2280709Z 2025-07-17T07:12:16.2281050Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-07-17T07:12:16.2281127Z 2025-07-17T07:12:16.2281239Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:16.2281376Z >>> class FP16Planner(DefaultSavePlanner): 2025-07-17T07:12:16.2281481Z >>> def create_local_plan(self): 2025-07-17T07:12:16.2281617Z >>> plan = super().create_local_plan() 2025-07-17T07:12:16.2281713Z >>> for p in plan: 2025-07-17T07:12:16.2281826Z >>> if p.tensor_data is not None: 2025-07-17T07:12:16.2281996Z >>> p.tensor_data.properties.dtype = torch.float16 2025-07-17T07:12:16.2282089Z >>> return plan 2025-07-17T07:12:16.2282168Z >>> 2025-07-17T07:12:16.2282295Z >>> def resolve_data(self, write_item): 2025-07-17T07:12:16.2282445Z >>> item = super().resolve_data(write_item) 2025-07-17T07:12:16.2282716Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-07-17T07:12:16.2282806Z 2025-07-17T07:12:16.2283145Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-07-17T07:12:16.2283235Z 2025-07-17T07:12:16.2283347Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:16.2283456Z >>> from itertools import zip_longest 2025-07-17T07:12:16.2283624Z >>> from dataclasses import replace 2025-07-17T07:12:16.2283787Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-07-17T07:12:16.2284059Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-07-17T07:12:16.2284197Z >>> # This sample doesn't handle ShardedTensors 2025-07-17T07:12:16.2284322Z >>> def create_global_plan(self, all_plans): 2025-07-17T07:12:16.2284478Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-07-17T07:12:16.2284577Z >>> items_per_rank = [ 2025-07-17T07:12:16.2284708Z >>> [item for item in items if item is not None] 2025-07-17T07:12:16.2284872Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-07-17T07:12:16.2284950Z >>> ] 2025-07-17T07:12:16.2285040Z >>> all_plans = [ 2025-07-17T07:12:16.2285164Z >>> replace(plan, items=items) 2025-07-17T07:12:16.2285351Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-07-17T07:12:16.2285430Z >>> ] 2025-07-17T07:12:16.2285580Z >>> return super().create_global_plan(all_plans) 2025-07-17T07:12:16.2285658Z 2025-07-17T07:12:16.2285930Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-07-17T07:12:16.2286193Z accomplished by having each rank contribute their data items in the local plan and 2025-07-17T07:12:16.2286307Z the global planner aggregate them: 2025-07-17T07:12:16.2286398Z 2025-07-17T07:12:16.2286508Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:16.2286659Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-07-17T07:12:16.2286796Z >>> def create_local_plan(self) -> SavePlan: 2025-07-17T07:12:16.2286908Z >>> plan = super().create_local_plan() 2025-07-17T07:12:16.2287066Z >>> return replace(plan, planner_data="per-rank-data") 2025-07-17T07:12:16.2287154Z >>> 2025-07-17T07:12:16.2287449Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-07-17T07:12:16.2287652Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-07-17T07:12:16.2287802Z >>> merged_data = [p.planner_data for p in global_plan] 2025-07-17T07:12:16.2287966Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-07-17T07:12:16.2288089Z >>> return global_plan, metadata 2025-07-17T07:12:16.2288198Z 2025-07-17T07:12:16.2288446Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2288532Z 2025-07-17T07:12:16.2288628Z warnings.warn(msg) 2025-07-17T07:12:16.2288704Z 2025-07-17T07:12:16.2288905Z --- Parse Warning: 65 / 136 --- 2025-07-17T07:12:16.2289873Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-07-17T07:12:16.2290141Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2290217Z 2025-07-17T07:12:16.2290497Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-07-17T07:12:16.2290586Z 2025-07-17T07:12:16.2290867Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-07-17T07:12:16.2290977Z 2025-07-17T07:12:16.2291264Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-07-17T07:12:16.2291374Z will be visible to the whole process. 2025-07-17T07:12:16.2291464Z 2025-07-17T07:12:16.2291736Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-07-17T07:12:16.2291811Z 2025-07-17T07:12:16.2291941Z 1) set_up_planner - called on all ranks. 2025-07-17T07:12:16.2292117Z Signals the start of loading a checkpoint. 2025-07-17T07:12:16.2292196Z 2025-07-17T07:12:16.2292330Z 2) create_local_plan - called on all ranks. 2025-07-17T07:12:16.2292611Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-07-17T07:12:16.2292692Z 2025-07-17T07:12:16.2292880Z 3) create_global_plan - called on the coordinator rank only. 2025-07-17T07:12:16.2293076Z Takes the LoadPlan from all ranks and make any global decision. 2025-07-17T07:12:16.2293170Z 2025-07-17T07:12:16.2293315Z 4) load_bytes - called multiple times on each rank 2025-07-17T07:12:16.2293481Z This is called once per non-tensor value in state_dict. 2025-07-17T07:12:16.2293570Z 2025-07-17T07:12:16.2293787Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-07-17T07:12:16.2293964Z They are called in pair for each Tensor value in state_dict. 2025-07-17T07:12:16.2294051Z 2025-07-17T07:12:16.2294355Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-07-17T07:12:16.2294536Z most changes can be expressed by changes in a single method. 2025-07-17T07:12:16.2294623Z 2025-07-17T07:12:16.2294749Z There are two usual patterns of extension: 2025-07-17T07:12:16.2294838Z 2025-07-17T07:12:16.2295088Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-07-17T07:12:16.2295341Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-07-17T07:12:16.2295577Z to keep a reference to the original state_dict as load happens in place so 2025-07-17T07:12:16.2295699Z we need to be able to perform it in place 2025-07-17T07:12:16.2295775Z 2025-07-17T07:12:16.2295897Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:16.2296030Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-07-17T07:12:16.2296124Z >>> def set_up_planner( 2025-07-17T07:12:16.2296226Z >>> self, 2025-07-17T07:12:16.2296337Z >>> state_dict: STATE_DICT_TYPE, 2025-07-17T07:12:16.2296450Z >>> metadata: Metadata, 2025-07-17T07:12:16.2296552Z >>> is_coordinator: bool, 2025-07-17T07:12:16.2296640Z >>> ) -> None: 2025-07-17T07:12:16.2296778Z >>> self.original_state_dict = state_dict 2025-07-17T07:12:16.2296950Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-07-17T07:12:16.2297059Z >>> 2025-07-17T07:12:16.2297189Z >>> if self.flatten_sharded_tensors: 2025-07-17T07:12:16.2297340Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-07-17T07:12:16.2297422Z >>> 2025-07-17T07:12:16.2297545Z >>> if self.flatten_state_dict: 2025-07-17T07:12:16.2297730Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-07-17T07:12:16.2297822Z >>> 2025-07-17T07:12:16.2297933Z >>> self.state_dict = state_dict 2025-07-17T07:12:16.2298042Z >>> self.metadata = metadata 2025-07-17T07:12:16.2298178Z >>> self.is_coordinator = is_coordinator 2025-07-17T07:12:16.2298258Z >>> 2025-07-17T07:12:16.2298379Z >>> def load_bytes(self, read_item, value): 2025-07-17T07:12:16.2298496Z >>> # Remove the "foo_" prefix 2025-07-17T07:12:16.2298812Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-07-17T07:12:16.2298931Z 2025-07-17T07:12:16.2299023Z 2025-07-17T07:12:16.2299362Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-07-17T07:12:16.2299456Z 2025-07-17T07:12:16.2299570Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:16.2299727Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-07-17T07:12:16.2299857Z >>> def resolve_tensor(self, read_item): 2025-07-17T07:12:16.2299990Z >>> tensor = super().resolve_tensor(read_item) 2025-07-17T07:12:16.2300192Z >>> return torch.empty_like(tensor, device="cpu") 2025-07-17T07:12:16.2300285Z >>> 2025-07-17T07:12:16.2300410Z >>> def commit_tensor(self, read_item, tensor): 2025-07-17T07:12:16.2300568Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-07-17T07:12:16.2300658Z 2025-07-17T07:12:16.2300909Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2301004Z 2025-07-17T07:12:16.2301101Z warnings.warn(msg) 2025-07-17T07:12:16.2301180Z 2025-07-17T07:12:16.2301393Z --- Parse Warning: 66 / 136 --- 2025-07-17T07:12:16.2302373Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict.py line=1118. 2025-07-17T07:12:16.2302634Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2302727Z 2025-07-17T07:12:16.2302893Z Return the model state_dict and optimizers state_dict. 2025-07-17T07:12:16.2302973Z 2025-07-17T07:12:16.2303204Z ``get_state_dict`` can process any module that is parallelized by PyTorch 2025-07-17T07:12:16.2303457Z FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any 2025-07-17T07:12:16.2303718Z combination of these parallelisms. The main functions of ``get_state_dict`` 2025-07-17T07:12:16.2303933Z are: 1.) returning a model and optimizer state_dict that can be resharded 2025-07-17T07:12:16.2304138Z with a different number of trainers and/or different parallelisms. 2025-07-17T07:12:16.2304398Z 2.) hiding the parallelism-specific state_dict APIs. Users don't have to call 2025-07-17T07:12:16.2304486Z these APIs. 2025-07-17T07:12:16.2304604Z 3.) sanity checking the result state_dict. 2025-07-17T07:12:16.2304692Z 2025-07-17T07:12:16.2304898Z The keys of the result state dictionary are the canonical FQNs (Fully 2025-07-17T07:12:16.2305144Z Qualified Names). A canonical FQN refers to the FQN based on a parameter's 2025-07-17T07:12:16.2305378Z position in an nn.Module hierarchy. More specifically, a canonical FQN to a 2025-07-17T07:12:16.2305580Z parameter is the FQN returned by ``module.named_parameters()`` or 2025-07-17T07:12:16.2305800Z ``module.named_buffers()`` when the module is not distributed by any 2025-07-17T07:12:16.2306058Z parallelisms. Since the optimizer internally uses parameter IDs to represent 2025-07-17T07:12:16.2306298Z a parameter, there will be a conversion from the parameter IDs to the 2025-07-17T07:12:16.2306425Z canonical FQNs when calling this API. 2025-07-17T07:12:16.2306504Z 2025-07-17T07:12:16.2306734Z ``get_state_dict`` can also process a module that is not parallelized. In 2025-07-17T07:12:16.2306956Z such a case, ``get_state_dict`` only performs one function -- converting the 2025-07-17T07:12:16.2307099Z optimizer parameter IDs to the canonical FQNs. 2025-07-17T07:12:16.2307190Z 2025-07-17T07:12:16.2307272Z Example: 2025-07-17T07:12:16.2307369Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2307471Z >>> import torch 2025-07-17T07:12:16.2307708Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-07-17T07:12:16.2307908Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2025-07-17T07:12:16.2308167Z >>> from torch.distributed.checkpoint.state_dict import get_state_dict 2025-07-17T07:12:16.2308248Z 2025-07-17T07:12:16.2308390Z >>> fsdp_model = FSDP(copy.deepcopy(model)) 2025-07-17T07:12:16.2308571Z >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3) 2025-07-17T07:12:16.2308693Z >>> ddp_model = DDP(copy.deepcopy(model)) 2025-07-17T07:12:16.2308879Z >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3) 2025-07-17T07:12:16.2308957Z 2025-07-17T07:12:16.2309035Z 2025-07-17T07:12:16.2309324Z >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim) 2025-07-17T07:12:16.2309490Z >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict( 2025-07-17T07:12:16.2309596Z ... fsdp_model, fsdp_optim 2025-07-17T07:12:16.2309686Z ... ) 2025-07-17T07:12:16.2309763Z 2025-07-17T07:12:16.2309983Z >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(), 2025-07-17T07:12:16.2310084Z >>> # the asserts will fail. 2025-07-17T07:12:16.2310210Z >>> assert ddp_state_dict == fsdp_state_dict 2025-07-17T07:12:16.2310363Z >>> assert ddp_optim_state == fsdp_optim_state_dict 2025-07-17T07:12:16.2310440Z 2025-07-17T07:12:16.2310515Z 2025-07-17T07:12:16.2310606Z Args: 2025-07-17T07:12:16.2310742Z model (nn.Module): the nn.Module to the model. 2025-07-17T07:12:16.2310923Z optimizers (Union[None, Optimizer, Iterable[Optimizer]]): 2025-07-17T07:12:16.2311094Z The optimizers that are used to optimize ``model``. 2025-07-17T07:12:16.2311371Z submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters 2025-07-17T07:12:16.2311494Z that belong to the submodules. 2025-07-17T07:12:16.2311667Z options (StateDictOptions): the options to control how 2025-07-17T07:12:16.2311872Z model state_dict and optimizer state_dict should be returned. See 2025-07-17T07:12:16.2312008Z `StateDictOptions` for the details. 2025-07-17T07:12:16.2312088Z 2025-07-17T07:12:16.2312169Z Returns: 2025-07-17T07:12:16.2312371Z ``Tuple`` that contain model state_dict and optimizer state_dict. 2025-07-17T07:12:16.2312449Z 2025-07-17T07:12:16.2312672Z :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType] 2025-07-17T07:12:16.2312763Z 2025-07-17T07:12:16.2313011Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2313101Z 2025-07-17T07:12:16.2313198Z warnings.warn(msg) 2025-07-17T07:12:16.2313276Z 2025-07-17T07:12:16.2313473Z --- Parse Warning: 67 / 136 --- 2025-07-17T07:12:16.2314441Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=62. 2025-07-17T07:12:16.2314701Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2314820Z 2025-07-17T07:12:16.2315011Z Load a checkpoint into a distributed state dict in SPMD style. 2025-07-17T07:12:16.2315090Z 2025-07-17T07:12:16.2315321Z Each rank must have the same keys in their ``state_dict`` provided to this 2025-07-17T07:12:16.2315549Z API. Mismatched keys may result in hangs or errors. If unsure, you can use 2025-07-17T07:12:16.2315774Z the ``utils._assert_same_keys`` API to check (but may incur communication 2025-07-17T07:12:16.2315857Z costs). 2025-07-17T07:12:16.2315931Z 2025-07-17T07:12:16.2316121Z Each rank will try to read the least amount of data necessary 2025-07-17T07:12:16.2316349Z to fulfill the requested `state_dict`. When loading :class:`ShardedTensor` 2025-07-17T07:12:16.2316594Z or :class:`DTensor` instances, each rank only reads data for their local shards. 2025-07-17T07:12:16.2316681Z 2025-07-17T07:12:16.2316963Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2025-07-17T07:12:16.2317225Z load will first call ``state_dict`` before attempting deserialization, followed by 2025-07-17T07:12:16.2317388Z ``load_state_dict`` once the deserialization is complete. 2025-07-17T07:12:16.2317642Z For each non-``Stateful`` object, load will deserialize the object, and then replace 2025-07-17T07:12:16.2317806Z it in the ``state_dict`` with the deserialized object. 2025-07-17T07:12:16.2317882Z 2025-07-17T07:12:16.2317975Z .. warning:: 2025-07-17T07:12:16.2318232Z All tensors in ``state_dict`` must be allocated on their 2025-07-17T07:12:16.2318394Z destination device *prior to* calling this function. 2025-07-17T07:12:16.2318471Z 2025-07-17T07:12:16.2318702Z All non-tensor data is loaded using `torch.load()` and modified in place 2025-07-17T07:12:16.2318789Z on state_dict. 2025-07-17T07:12:16.2318879Z 2025-07-17T07:12:16.2318967Z .. warning:: 2025-07-17T07:12:16.2319168Z Users must call `load_state_dict` on the root module to ensure load 2025-07-17T07:12:16.2319361Z pos-processing and non-tensor data properly propagates. 2025-07-17T07:12:16.2319437Z 2025-07-17T07:12:16.2319517Z .. note: 2025-07-17T07:12:16.2319750Z If no process group is initialized, this function will assume the intent 2025-07-17T07:12:16.2319967Z is to load a checkpoint into the local process. This can be useful in the 2025-07-17T07:12:16.2320211Z case of local inference, and when using regular Tensors (as opposed to DTensor 2025-07-17T07:12:16.2320322Z or ShardedTensor) 2025-07-17T07:12:16.2320397Z 2025-07-17T07:12:16.2320489Z .. note: 2025-07-17T07:12:16.2320625Z Rank 0 is assumed to be the coordinator rank. 2025-07-17T07:12:16.2320702Z 2025-07-17T07:12:16.2320798Z Args: 2025-07-17T07:12:16.2321003Z state_dict (Dict[str, Any]): The state_dict to load the checkpoint into. 2025-07-17T07:12:16.2321148Z checkpoint_id (Union[str, os.PathLike, None]): 2025-07-17T07:12:16.2321364Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-07-17T07:12:16.2321563Z depends on the storage. It can be a path to a folder or to a file. 2025-07-17T07:12:16.2321724Z It can also be a key if the storage is a key-value store. 2025-07-17T07:12:16.2321831Z (Default: ``None``) 2025-07-17T07:12:16.2321959Z storage_reader (Optional[StorageReader]): 2025-07-17T07:12:16.2322176Z Instance of StorageWriter used to perform reads. If this is not 2025-07-17T07:12:16.2322375Z specified, DCP will automatically infer the reader based on the 2025-07-17T07:12:16.2322571Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-07-17T07:12:16.2322690Z be raised. (Default: ``None``) 2025-07-17T07:12:16.2322804Z planner (Optional[LoadPlanner]): 2025-07-17T07:12:16.2323000Z Instance of LoadPlanner. If this is not specified, the default 2025-07-17T07:12:16.2323171Z planner will be used. (Default: ``None``) 2025-07-17T07:12:16.2323298Z process_group (Optional[ProcessGroup]): 2025-07-17T07:12:16.2323496Z ProcessGroup to be used for cross-rank synchronization. 2025-07-17T07:12:16.2323593Z (Default: ``None``) 2025-07-17T07:12:16.2323800Z no_dist (bool): If ``True``, this function will assume the intent is to load 2025-07-17T07:12:16.2324066Z a checkpoint without using cross-rank synchronization. (Default: ``False``) 2025-07-17T07:12:16.2324150Z Returns: 2025-07-17T07:12:16.2324231Z None. 2025-07-17T07:12:16.2324320Z 2025-07-17T07:12:16.2324401Z Examples 2025-07-17T07:12:16.2324496Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2324603Z >>> my_model = MyModule() 2025-07-17T07:12:16.2324736Z >>> optimizer = Adagrad(my_model.parameters()) 2025-07-17T07:12:16.2324899Z >>> model_state_dict = my_model.state_dict() 2025-07-17T07:12:16.2325132Z >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader( 2025-07-17T07:12:16.2325226Z ... "/checkpoint/1" 2025-07-17T07:12:16.2325317Z ... ) 2025-07-17T07:12:16.2325395Z 2025-07-17T07:12:16.2325545Z >>> torch.distributed.checkpoint.load_state_dict( 2025-07-17T07:12:16.2325669Z >>> state_dict=model_state_dict, 2025-07-17T07:12:16.2325784Z >>> storage_reader=fs_storage_reader, 2025-07-17T07:12:16.2325862Z >>> ) 2025-07-17T07:12:16.2326002Z 2025-07-17T07:12:16.2326194Z >>> # module.load_state_dict() function might have customized steps 2025-07-17T07:12:16.2326331Z >>> # to flush the state_dict, must call it to 2025-07-17T07:12:16.2326435Z >>> # ensure correct behavior. 2025-07-17T07:12:16.2326563Z >>> my_model.load_state_dict(model_state_dict) 2025-07-17T07:12:16.2326654Z 2025-07-17T07:12:16.2326741Z .. note:: 2025-07-17T07:12:16.2326952Z load_state_dict uses collectives to coordinate reads across ranks. 2025-07-17T07:12:16.2327178Z For NCCL-based process groups, internal tensor representations of 2025-07-17T07:12:16.2327404Z objects must be moved to the GPU device before communication takes place. 2025-07-17T07:12:16.2327621Z In this case, the device used is given by ``torch.cuda.current_device()`` 2025-07-17T07:12:16.2327858Z and it is the user's responsibility to ensure that this is set so that each 2025-07-17T07:12:16.2328043Z rank has an individual GPU, via ``torch.cuda.set_device()``. 2025-07-17T07:12:16.2328136Z 2025-07-17T07:12:16.2328385Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2328465Z 2025-07-17T07:12:16.2328577Z warnings.warn(msg) 2025-07-17T07:12:16.2328657Z 2025-07-17T07:12:16.2328853Z --- Parse Warning: 68 / 136 --- 2025-07-17T07:12:16.2329833Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=96. 2025-07-17T07:12:16.2330095Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2330188Z 2025-07-17T07:12:16.2330308Z Save a distributed model in SPMD style. 2025-07-17T07:12:16.2330390Z 2025-07-17T07:12:16.2330597Z This function is different from ``torch.save()`` as it handles 2025-07-17T07:12:16.2330855Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards. 2025-07-17T07:12:16.2330933Z 2025-07-17T07:12:16.2331201Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``), 2025-07-17T07:12:16.2331350Z save will call ``state_dict`` before serialization. 2025-07-17T07:12:16.2331430Z 2025-07-17T07:12:16.2331538Z .. warning:: 2025-07-17T07:12:16.2331772Z There is no guarantees of Backwards Compatibility across PyTorch versions 2025-07-17T07:12:16.2331936Z for saved state_dicts. 2025-07-17T07:12:16.2332016Z 2025-07-17T07:12:16.2332103Z .. warning:: 2025-07-17T07:12:16.2332319Z If using the `process_group` argument, make sure that only its ranks 2025-07-17T07:12:16.2332520Z call `save_state_dict` and that all data in state_dict belong to it. 2025-07-17T07:12:16.2332596Z 2025-07-17T07:12:16.2332692Z .. note:: 2025-07-17T07:12:16.2332946Z When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of 2025-07-17T07:12:16.2333200Z the shard_group should be calling `save_state_dict` and the corresponding process 2025-07-17T07:12:16.2333320Z group needs to be passed in. 2025-07-17T07:12:16.2333397Z 2025-07-17T07:12:16.2333496Z .. note:: 2025-07-17T07:12:16.2333761Z If no process group is available, this function assumes the intention is to save the 2025-07-17T07:12:16.2333900Z state_dict in the local process. 2025-07-17T07:12:16.2333990Z 2025-07-17T07:12:16.2334070Z .. note: 2025-07-17T07:12:16.2334205Z Rank 0 is assumed to be the coordinator rank. 2025-07-17T07:12:16.2334293Z 2025-07-17T07:12:16.2334368Z 2025-07-17T07:12:16.2334446Z Args: 2025-07-17T07:12:16.2334608Z state_dict (Dict[str, Any]): The state_dict to save. 2025-07-17T07:12:16.2334748Z checkpoint_id (Union[str, os.PathLike, None]): 2025-07-17T07:12:16.2335001Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-07-17T07:12:16.2335213Z depends on the storage. It can be a path to a folder or to a file. 2025-07-17T07:12:16.2335377Z It can also be a key if the storage is a key-value store. 2025-07-17T07:12:16.2335484Z (Default: ``None``) 2025-07-17T07:12:16.2335612Z storage_writer (Optional[StorageWriter]): 2025-07-17T07:12:16.2335821Z Instance of StorageWriter used to perform writes. If this is not 2025-07-17T07:12:16.2336033Z specified, DCP will automatically infer the writer based on the 2025-07-17T07:12:16.2336230Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-07-17T07:12:16.2336337Z be raised. (Default: ``None``) 2025-07-17T07:12:16.2336465Z planner (Optional[SavePlanner]): 2025-07-17T07:12:16.2336658Z Instance of SavePlanner. If this is not specified, the default 2025-07-17T07:12:16.2336799Z planner will be used. (Default: ``None``) 2025-07-17T07:12:16.2336929Z process_group (Optional[ProcessGroup]): 2025-07-17T07:12:16.2337105Z ProcessGroup to be used for cross-rank synchronization. 2025-07-17T07:12:16.2337211Z (Default: ``None``) 2025-07-17T07:12:16.2337300Z no_dist (bool): 2025-07-17T07:12:16.2337464Z If ``True``, this function will assume the intent is to load 2025-07-17T07:12:16.2337649Z a checkpoint without using cross-rank synchronization. 2025-07-17T07:12:16.2337750Z (Default: ``False``) 2025-07-17T07:12:16.2337828Z 2025-07-17T07:12:16.2337927Z Returns: 2025-07-17T07:12:16.2338079Z Metadata: Metadata object for the saved checkpoint. 2025-07-17T07:12:16.2338172Z 2025-07-17T07:12:16.2338255Z Example: 2025-07-17T07:12:16.2338349Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2338462Z >>> my_model = MyModule() 2025-07-17T07:12:16.2338539Z 2025-07-17T07:12:16.2338651Z >>> state_dict = {"model": my_model} 2025-07-17T07:12:16.2338741Z 2025-07-17T07:12:16.2338970Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter( 2025-07-17T07:12:16.2339144Z ... "/checkpoint/1" 2025-07-17T07:12:16.2339239Z ... ) 2025-07-17T07:12:16.2339368Z >>> torch.distributed.checkpoint.save( 2025-07-17T07:12:16.2339469Z >>> state_dict=state_dict, 2025-07-17T07:12:16.2339606Z >>> storage_writer=fs_storage_writer, 2025-07-17T07:12:16.2339721Z >>> ) 2025-07-17T07:12:16.2339810Z 2025-07-17T07:12:16.2339894Z .. note:: 2025-07-17T07:12:16.2340108Z save_state_dict uses collectives to coordinate writes across ranks. 2025-07-17T07:12:16.2340327Z For NCCL-based process groups, internal tensor representations of 2025-07-17T07:12:16.2340554Z objects must be moved to the GPU device before communication takes place. 2025-07-17T07:12:16.2340770Z In this case, the device used is given by ``torch.cuda.current_device()`` 2025-07-17T07:12:16.2340986Z and it is the user's responsibility to ensure that this is set so that 2025-07-17T07:12:16.2341177Z each rank has an individual GPU, via ``torch.cuda.set_device()``. 2025-07-17T07:12:16.2341254Z 2025-07-17T07:12:16.2341514Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2341592Z 2025-07-17T07:12:16.2341732Z warnings.warn(msg) 2025-07-17T07:12:16.2341811Z 2025-07-17T07:12:16.2342015Z --- Parse Warning: 69 / 136 --- 2025-07-17T07:12:16.2343014Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_save in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=221. 2025-07-17T07:12:16.2343278Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2343595Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the 2025-07-17T07:12:16.2343899Z staging storage (defaults to CPU memory), and then calls the `save` in a separate thread. 2025-07-17T07:12:16.2343976Z 2025-07-17T07:12:16.2344075Z .. warning:: 2025-07-17T07:12:16.2344231Z This feature is experimental and subject to change. 2025-07-17T07:12:16.2344378Z MUST CALL CLOSE AFTER LAST CHECKPOINT IS SAVED 2025-07-17T07:12:16.2344469Z 2025-07-17T07:12:16.2344550Z Args: 2025-07-17T07:12:16.2344704Z state_dict (Dict[str, Any]): The state_dict to save. 2025-07-17T07:12:16.2344855Z checkpoint_id (Union[str, os.PathLike, None]): 2025-07-17T07:12:16.2345063Z The ID of this checkpoint instance. The meaning of the checkpoint_id 2025-07-17T07:12:16.2345276Z depends on the storage. It can be a path to a folder or to a file. 2025-07-17T07:12:16.2345441Z It can also be a key if the storage is a key-value store. 2025-07-17T07:12:16.2345539Z (Default: ``None``) 2025-07-17T07:12:16.2345685Z storage_writer (Optional[StorageWriter]): 2025-07-17T07:12:16.2345893Z Instance of StorageWriter used to perform 'stage' and 'save'. If 2025-07-17T07:12:16.2346126Z this is not specified, DCP will automatically infer the writer based on the 2025-07-17T07:12:16.2346341Z checkpoint_id. If checkpoint_id is also None, an exception will 2025-07-17T07:12:16.2346454Z be raised. (Default: ``None``) 2025-07-17T07:12:16.2346581Z planner (Optional[SavePlanner]): 2025-07-17T07:12:16.2346776Z Instance of SavePlanner. If this is not specified, the default 2025-07-17T07:12:16.2346904Z planner will be used. (Default: ``None``) 2025-07-17T07:12:16.2347045Z process_group (Optional[ProcessGroup]): 2025-07-17T07:12:16.2347222Z ProcessGroup to be used for cross-rank synchronization. 2025-07-17T07:12:16.2347324Z (Default: ``None``) 2025-07-17T07:12:16.2347494Z async_checkpointer_type (AsyncCheckpointerType): 2025-07-17T07:12:16.2347660Z whether to do checkpoint in separate thread or process 2025-07-17T07:12:16.2347802Z (Default: ``AsyncCheckpointerType.THREAD``) 2025-07-17T07:12:16.2347919Z async_stager (AsyncStager): 2025-07-17T07:12:16.2348175Z provides staging implementation. If storage_writer implements AsyncStager 2025-07-17T07:12:16.2348425Z and async_stager is provided, async_stager will be used for staging 2025-07-17T07:12:16.2348501Z 2025-07-17T07:12:16.2348584Z Returns: 2025-07-17T07:12:16.2348807Z Future: A future holding the resultant Metadata object from `save`. 2025-07-17T07:12:16.2348884Z 2025-07-17T07:12:16.2348969Z Example: 2025-07-17T07:12:16.2349074Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2349178Z >>> my_model = MyModule() 2025-07-17T07:12:16.2349255Z 2025-07-17T07:12:16.2349376Z >>> state_dict = {"model": my_model} 2025-07-17T07:12:16.2349452Z 2025-07-17T07:12:16.2349690Z >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter( 2025-07-17T07:12:16.2349787Z ... "/checkpoint/1" 2025-07-17T07:12:16.2349867Z ... ) 2025-07-17T07:12:16.2350111Z >>> checkpoint_future = torch.distributed.checkpoint.async_save( 2025-07-17T07:12:16.2350217Z >>> state_dict=state_dict, 2025-07-17T07:12:16.2350339Z >>> storage_writer=fs_storage_writer, 2025-07-17T07:12:16.2350430Z >>> ) 2025-07-17T07:12:16.2350510Z >>> 2025-07-17T07:12:16.2350607Z >>> # ... do some work ... 2025-07-17T07:12:16.2350697Z >>> 2025-07-17T07:12:16.2350805Z >>> checkpoint_future.result() 2025-07-17T07:12:16.2350882Z 2025-07-17T07:12:16.2350973Z 2025-07-17T07:12:16.2351272Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2351364Z 2025-07-17T07:12:16.2351457Z warnings.warn(msg) 2025-07-17T07:12:16.2351534Z 2025-07-17T07:12:16.2351737Z --- Parse Warning: 70 / 136 --- 2025-07-17T07:12:16.2352782Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=construct_and_record_rdzv_event in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/elastic/events/__init__.py line=94. 2025-07-17T07:12:16.2353049Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2353141Z 2025-07-17T07:12:16.2353341Z Initialize rendezvous event object and record its operations. 2025-07-17T07:12:16.2353432Z 2025-07-17T07:12:16.2353517Z Args: 2025-07-17T07:12:16.2353644Z run_id (str): The run id of the rendezvous. 2025-07-17T07:12:16.2353805Z message (str): The message describing the event. 2025-07-17T07:12:16.2354058Z node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED). 2025-07-17T07:12:16.2354239Z name (str): Event name. (E.g. Current action being performed). 2025-07-17T07:12:16.2354368Z hostname (str): Hostname of the node. 2025-07-17T07:12:16.2354506Z pid (Optional[int]): The process id of the node. 2025-07-17T07:12:16.2354748Z master_endpoint (str): The master endpoint for the rendezvous store, if known. 2025-07-17T07:12:16.2355027Z local_id (Optional[int]): The local_id of the node, if defined in dynamic_rendezvous.py 2025-07-17T07:12:16.2355183Z rank (Optional[int]): The rank of the node, if known. 2025-07-17T07:12:16.2355279Z Returns: 2025-07-17T07:12:16.2355360Z None 2025-07-17T07:12:16.2355440Z Example: 2025-07-17T07:12:16.2355576Z >>> # See DynamicRendezvousHandler class 2025-07-17T07:12:16.2355663Z >>> def _record( 2025-07-17T07:12:16.2355748Z ... self, 2025-07-17T07:12:16.2355850Z ... message: str, 2025-07-17T07:12:16.2356281Z ... node_state: NodeState = NodeState.RUNNING, 2025-07-17T07:12:16.2356456Z ... rank: Optional[int] = None, 2025-07-17T07:12:16.2356574Z ... ) -> None: 2025-07-17T07:12:16.2356772Z ... construct_and_record_rdzv_event( 2025-07-17T07:12:16.2356969Z ... name=f"{self.__class__.__name__}.{get_method_name()}", 2025-07-17T07:12:16.2357151Z ... run_id=self._settings.run_id, 2025-07-17T07:12:16.2357349Z ... message=message, 2025-07-17T07:12:16.2357502Z ... node_state=node_state, 2025-07-17T07:12:16.2357691Z ... hostname=self._this_node.addr, 2025-07-17T07:12:16.2357828Z ... pid=self._this_node.pid, 2025-07-17T07:12:16.2357982Z ... local_id=self._this_node.local_id, 2025-07-17T07:12:16.2358139Z ... rank=rank, 2025-07-17T07:12:16.2358291Z ... ) 2025-07-17T07:12:16.2358418Z 2025-07-17T07:12:16.2358743Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2358852Z 2025-07-17T07:12:16.2359011Z warnings.warn(msg) 2025-07-17T07:12:16.2359149Z 2025-07-17T07:12:16.2359406Z --- Parse Warning: 71 / 136 --- 2025-07-17T07:12:16.2360413Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixedPrecision in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=114. 2025-07-17T07:12:16.2360739Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2360847Z 2025-07-17T07:12:16.2361094Z This configures FSDP-native mixed precision training. 2025-07-17T07:12:16.2361185Z 2025-07-17T07:12:16.2361337Z Attributes: 2025-07-17T07:12:16.2361715Z param_dtype (Optional[torch.dtype]): This specifies the dtype for model 2025-07-17T07:12:16.2361944Z parameters during forward and backward and thus the dtype for 2025-07-17T07:12:16.2362245Z forward and backward computation. Outside forward and backward, the 2025-07-17T07:12:16.2362465Z *sharded* parameters are kept in full precision (e.g. for the 2025-07-17T07:12:16.2362679Z optimizer step), and for model checkpointing, the parameters are 2025-07-17T07:12:16.2362958Z always saved in full precision. (Default: ``None``) 2025-07-17T07:12:16.2363201Z reduce_dtype (Optional[torch.dtype]): This specifies the dtype for 2025-07-17T07:12:16.2363498Z gradient reduction (i.e. reduce-scatter or all-reduce). If this is 2025-07-17T07:12:16.2363702Z ``None`` but ``param_dtype`` is not ``None``, then this takes on 2025-07-17T07:12:16.2363929Z the ``param_dtype`` value, still running gradient reduction in low 2025-07-17T07:12:16.2364222Z precision. This is permitted to differ from ``param_dtype``, e.g. 2025-07-17T07:12:16.2364467Z to force gradient reduction to run in full precision. (Default: 2025-07-17T07:12:16.2364588Z ``None``) 2025-07-17T07:12:16.2364915Z buffer_dtype (Optional[torch.dtype]): This specifies the dtype for 2025-07-17T07:12:16.2365145Z buffers. FSDP does not shard buffers. Rather, FSDP casts them to 2025-07-17T07:12:16.2365394Z ``buffer_dtype`` in the first forward pass and keeps them in that 2025-07-17T07:12:16.2365660Z dtype thereafter. For model checkpointing, the buffers are saved 2025-07-17T07:12:16.2365886Z in full precision except for ``LOCAL_STATE_DICT``. (Default: 2025-07-17T07:12:16.2366049Z ``None``) 2025-07-17T07:12:16.2366274Z keep_low_precision_grads (bool): If ``False``, then FSDP upcasts 2025-07-17T07:12:16.2366516Z gradients to full precision after the backward pass in preparation 2025-07-17T07:12:16.2366775Z for the optimizer step. If ``True``, then FSDP keeps the gradients 2025-07-17T07:12:16.2367036Z in the dtype used for gradient reduction, which can save memory if 2025-07-17T07:12:16.2367339Z using a custom optimizer that supports running in low precision. 2025-07-17T07:12:16.2367468Z (Default: ``False``) 2025-07-17T07:12:16.2367705Z cast_forward_inputs (bool): If ``True``, then this FSDP module casts 2025-07-17T07:12:16.2368012Z its forward args and kwargs to ``param_dtype``. This is to ensure 2025-07-17T07:12:16.2368233Z that parameter and input dtypes match for forward computation, as 2025-07-17T07:12:16.2368573Z required by many ops. This may need to be set to ``True`` when only 2025-07-17T07:12:16.2368819Z applying mixed precision to some but not all FSDP modules, in which 2025-07-17T07:12:16.2369055Z case a mixed-precision FSDP submodule needs to recast its inputs. 2025-07-17T07:12:16.2369230Z (Default: ``False``) 2025-07-17T07:12:16.2369692Z cast_root_forward_inputs (bool): If ``True``, then the root FSDP module 2025-07-17T07:12:16.2369905Z casts its forward args and kwargs to ``param_dtype``, overriding 2025-07-17T07:12:16.2370228Z the value of ``cast_forward_inputs``. For non-root FSDP modules, 2025-07-17T07:12:16.2370435Z this does not do anything. (Default: ``True``) 2025-07-17T07:12:16.2370798Z _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies 2025-07-17T07:12:16.2371014Z module classes to ignore for mixed precision when using an 2025-07-17T07:12:16.2371225Z ``auto_wrap_policy``: Modules of these classes will have FSDP 2025-07-17T07:12:16.2371527Z applied to them separately with mixed precision disabled (meaning 2025-07-17T07:12:16.2371775Z that the final FSDP construction would deviate from the specified 2025-07-17T07:12:16.2372065Z policy). If ``auto_wrap_policy`` is not specified, then this does 2025-07-17T07:12:16.2372335Z not do anything. This API is experimental and subject to change. 2025-07-17T07:12:16.2372473Z (Default: ``(_BatchNorm,)``) 2025-07-17T07:12:16.2372614Z 2025-07-17T07:12:16.2372846Z .. note:: This API is experimental and subject to change. 2025-07-17T07:12:16.2372971Z 2025-07-17T07:12:16.2373265Z .. note:: Only floating point tensors are cast to their specified dtypes. 2025-07-17T07:12:16.2373377Z 2025-07-17T07:12:16.2373597Z .. note:: In ``summon_full_params``, parameters are forced to full 2025-07-17T07:12:16.2373760Z precision, but buffers are not. 2025-07-17T07:12:16.2373900Z 2025-07-17T07:12:16.2374193Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when 2025-07-17T07:12:16.2374428Z their inputs are in a low precision like ``float16`` or ``bfloat16``. 2025-07-17T07:12:16.2374688Z Disabling FSDP's mixed precision for those norm modules only means that 2025-07-17T07:12:16.2374978Z the affine parameters are kept in ``float32``. However, this incurs 2025-07-17T07:12:16.2375219Z separate all-gathers and reduce-scatters for those norm modules, which 2025-07-17T07:12:16.2375580Z may be inefficient, so if the workload permits, the user should prefer 2025-07-17T07:12:16.2375757Z to still apply mixed precision to those modules. 2025-07-17T07:12:16.2375869Z 2025-07-17T07:12:16.2376154Z .. note:: By default, if the user passes a model with any ``_BatchNorm`` 2025-07-17T07:12:16.2376386Z modules and specifies an ``auto_wrap_policy``, then the batch norm 2025-07-17T07:12:16.2376620Z modules will have FSDP applied to them separately with mixed precision 2025-07-17T07:12:16.2376910Z disabled. See the ``_module_classes_to_ignore`` argument. 2025-07-17T07:12:16.2377020Z 2025-07-17T07:12:16.2377308Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and 2025-07-17T07:12:16.2377555Z ``cast_forward_inputs=False`` by default. For the root FSDP instance, 2025-07-17T07:12:16.2377756Z its ``cast_root_forward_inputs`` takes precedence over its 2025-07-17T07:12:16.2378013Z ``cast_forward_inputs``. For non-root FSDP instances, their 2025-07-17T07:12:16.2378275Z ``cast_root_forward_inputs`` values are ignored. The default setting is 2025-07-17T07:12:16.2378526Z sufficient for the typical case where each FSDP instance has the same 2025-07-17T07:12:16.2378870Z ``MixedPrecision`` configuration and only needs to cast inputs to the 2025-07-17T07:12:16.2379146Z ``param_dtype`` at the beginning of the model's forward pass. 2025-07-17T07:12:16.2379288Z 2025-07-17T07:12:16.2379564Z .. note:: For nested FSDP instances with different ``MixedPrecision`` 2025-07-17T07:12:16.2379849Z configurations, we recommend setting individual ``cast_forward_inputs`` 2025-07-17T07:12:16.2380140Z values to configure casting inputs or not before each instance's 2025-07-17T07:12:16.2380365Z forward. In such a case, since the casts happen before each FSDP 2025-07-17T07:12:16.2380654Z instance's forward, a parent FSDP instance should have its non-FSDP 2025-07-17T07:12:16.2380926Z submodules run before its FSDP submodules to avoid the activation dtype 2025-07-17T07:12:16.2381192Z being changed due to a different ``MixedPrecision`` configuration. 2025-07-17T07:12:16.2381407Z 2025-07-17T07:12:16.2381528Z Example:: 2025-07-17T07:12:16.2381637Z 2025-07-17T07:12:16.2381840Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:16.2382017Z >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3)) 2025-07-17T07:12:16.2382252Z >>> model[1] = FSDP( 2025-07-17T07:12:16.2382374Z >>> model[1], 2025-07-17T07:12:16.2382712Z >>> mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True), 2025-07-17T07:12:16.2382919Z >>> ) 2025-07-17T07:12:16.2383044Z >>> model = FSDP( 2025-07-17T07:12:16.2383142Z >>> model, 2025-07-17T07:12:16.2383579Z >>> mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True), 2025-07-17T07:12:16.2383691Z >>> ) 2025-07-17T07:12:16.2383799Z 2025-07-17T07:12:16.2384080Z The above shows a working example. On the other hand, if ``model[1]`` 2025-07-17T07:12:16.2384313Z were replaced with ``model[0]``, meaning that the submodule using 2025-07-17T07:12:16.2384630Z different ``MixedPrecision`` ran its forward first, then ``model[1]`` 2025-07-17T07:12:16.2384896Z would incorrectly see ``float16`` activations instead of ``bfloat16`` 2025-07-17T07:12:16.2385011Z ones. 2025-07-17T07:12:16.2385164Z 2025-07-17T07:12:16.2385298Z 2025-07-17T07:12:16.2385586Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2385753Z 2025-07-17T07:12:16.2385897Z warnings.warn(msg) 2025-07-17T07:12:16.2386004Z 2025-07-17T07:12:16.2386312Z --- Parse Warning: 72 / 136 --- 2025-07-17T07:12:16.2387294Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/api.py line=295. 2025-07-17T07:12:16.2387623Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2387768Z 2025-07-17T07:12:16.2388021Z ``FullStateDictConfig`` is a config class meant to be used with 2025-07-17T07:12:16.2388289Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-07-17T07:12:16.2388520Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-07-17T07:12:16.2388818Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-07-17T07:12:16.2389027Z is meant to be used via the :func:`state_dict_type` context manager as 2025-07-17T07:12:16.2389183Z follows: 2025-07-17T07:12:16.2389350Z 2025-07-17T07:12:16.2389509Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:16.2389775Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-07-17T07:12:16.2389985Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-07-17T07:12:16.2390203Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-07-17T07:12:16.2390582Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-07-17T07:12:16.2390719Z >>> state = fsdp.state_dict() 2025-07-17T07:12:16.2390957Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-07-17T07:12:16.2391308Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-07-17T07:12:16.2391576Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-07-17T07:12:16.2391689Z >>> if dist.get_rank() == 0: 2025-07-17T07:12:16.2391988Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-07-17T07:12:16.2392157Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-07-17T07:12:16.2392358Z >>> model.load_state_dict(state_dict) 2025-07-17T07:12:16.2392650Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-07-17T07:12:16.2392919Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-07-17T07:12:16.2393096Z >>> fsdp = FSDP( 2025-07-17T07:12:16.2393225Z ... model, 2025-07-17T07:12:16.2393397Z ... device_id=torch.cuda.current_device(), 2025-07-17T07:12:16.2393570Z ... auto_wrap_policy=..., 2025-07-17T07:12:16.2393703Z ... sync_module_states=True, 2025-07-17T07:12:16.2393836Z ... ) 2025-07-17T07:12:16.2394152Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-07-17T07:12:16.2394288Z 2025-07-17T07:12:16.2394450Z Attributes: 2025-07-17T07:12:16.2394678Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-07-17T07:12:16.2394906Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-07-17T07:12:16.2395116Z ranks save the full state dict. (Default: ``False``) 2025-07-17T07:12:16.2395258Z 2025-07-17T07:12:16.2395635Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2395743Z 2025-07-17T07:12:16.2395870Z warnings.warn(msg) 2025-07-17T07:12:16.2396021Z 2025-07-17T07:12:16.2396230Z --- Parse Warning: 73 / 136 --- 2025-07-17T07:12:16.2402926Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=637. 2025-07-17T07:12:16.2403258Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2403520Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2025-07-17T07:12:16.2403599Z 2025-07-17T07:12:16.2403863Z Also takes (optional) configuration for the model's and optimizer's state dict. 2025-07-17T07:12:16.2404092Z The target module does not have to be a FSDP module. If the target 2025-07-17T07:12:16.2404299Z module is a FSDP module, its ``state_dict_type`` will also be changed. 2025-07-17T07:12:16.2404393Z 2025-07-17T07:12:16.2404595Z .. note:: This API should be called for only the top-level (root) 2025-07-17T07:12:16.2404680Z module. 2025-07-17T07:12:16.2404773Z 2025-07-17T07:12:16.2404985Z .. note:: This API enables users to transparently use the conventional 2025-07-17T07:12:16.2405172Z ``state_dict`` API to take model checkpoints in cases where the 2025-07-17T07:12:16.2405389Z root FSDP module is wrapped by another ``nn.Module``. For example, 2025-07-17T07:12:16.2405595Z the following will ensure ``state_dict`` is called on all non-FSDP 2025-07-17T07:12:16.2405838Z instances, while dispatching into `sharded_state_dict` implementation 2025-07-17T07:12:16.2406012Z for FSDP: 2025-07-17T07:12:16.2406092Z 2025-07-17T07:12:16.2406196Z Example:: 2025-07-17T07:12:16.2406278Z 2025-07-17T07:12:16.2406414Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:16.2406534Z >>> model = DDP(FSDP(...)) 2025-07-17T07:12:16.2406646Z >>> FSDP.set_state_dict_type( 2025-07-17T07:12:16.2406739Z >>> model, 2025-07-17T07:12:16.2406883Z >>> StateDictType.SHARDED_STATE_DICT, 2025-07-17T07:12:16.2407098Z >>> state_dict_config = ShardedStateDictConfig(offload_to_cpu=True), 2025-07-17T07:12:16.2407335Z >>> optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True), 2025-07-17T07:12:16.2407419Z >>> ) 2025-07-17T07:12:16.2407545Z >>> param_state_dict = model.state_dict() 2025-07-17T07:12:16.2407728Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2025-07-17T07:12:16.2407842Z 2025-07-17T07:12:16.2407923Z Args: 2025-07-17T07:12:16.2408067Z module (torch.nn.Module): Root module. 2025-07-17T07:12:16.2408297Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2025-07-17T07:12:16.2408531Z state_dict_config (Optional[StateDictConfig]): the configuration for the 2025-07-17T07:12:16.2408657Z target ``state_dict_type``. 2025-07-17T07:12:16.2408963Z optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration 2025-07-17T07:12:16.2409094Z for the optimizer state dict. 2025-07-17T07:12:16.2409172Z 2025-07-17T07:12:16.2409258Z Returns: 2025-07-17T07:12:16.2409494Z A StateDictSettings that include the previous state_dict type and 2025-07-17T07:12:16.2409607Z configuration for the module. 2025-07-17T07:12:16.2409692Z 2025-07-17T07:12:16.2409954Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2410033Z 2025-07-17T07:12:16.2410131Z warnings.warn(msg) 2025-07-17T07:12:16.2410223Z 2025-07-17T07:12:16.2410475Z --- Parse Warning: 74 / 136 --- 2025-07-17T07:12:16.2411662Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=795. 2025-07-17T07:12:16.2411921Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2412163Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module. 2025-07-17T07:12:16.2412252Z 2025-07-17T07:12:16.2412566Z This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of 2025-07-17T07:12:16.2412711Z :meth:`set_state_dict_type` for the detail. 2025-07-17T07:12:16.2412790Z 2025-07-17T07:12:16.2412880Z Example:: 2025-07-17T07:12:16.2412968Z 2025-07-17T07:12:16.2413097Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:16.2413202Z >>> model = DDP(FSDP(...)) 2025-07-17T07:12:16.2413323Z >>> with FSDP.state_dict_type( 2025-07-17T07:12:16.2413412Z >>> model, 2025-07-17T07:12:16.2413541Z >>> StateDictType.SHARDED_STATE_DICT, 2025-07-17T07:12:16.2413638Z >>> ): 2025-07-17T07:12:16.2413757Z >>> checkpoint = model.state_dict() 2025-07-17T07:12:16.2413835Z 2025-07-17T07:12:16.2413926Z Args: 2025-07-17T07:12:16.2414049Z module (torch.nn.Module): Root module. 2025-07-17T07:12:16.2414294Z state_dict_type (StateDictType): the desired ``state_dict_type`` to set. 2025-07-17T07:12:16.2414521Z state_dict_config (Optional[StateDictConfig]): the model ``state_dict`` 2025-07-17T07:12:16.2414709Z configuration for the target ``state_dict_type``. 2025-07-17T07:12:16.2414954Z optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer 2025-07-17T07:12:16.2415146Z ``state_dict`` configuration for the target ``state_dict_type``. 2025-07-17T07:12:16.2415228Z 2025-07-17T07:12:16.2415492Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2415575Z 2025-07-17T07:12:16.2415683Z warnings.warn(msg) 2025-07-17T07:12:16.2415760Z 2025-07-17T07:12:16.2415947Z --- Parse Warning: 75 / 136 --- 2025-07-17T07:12:16.2417142Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1808. 2025-07-17T07:12:16.2417433Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2417511Z 2025-07-17T07:12:16.2417767Z Transform the state-dict of an optimizer corresponding to a sharded model. 2025-07-17T07:12:16.2417845Z 2025-07-17T07:12:16.2418048Z The given state-dict can be transformed to one of three types: 2025-07-17T07:12:16.2418344Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict. 2025-07-17T07:12:16.2418473Z 2025-07-17T07:12:16.2418717Z For full optimizer state_dict, all states are unflattened and not sharded. 2025-07-17T07:12:16.2418928Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to 2025-07-17T07:12:16.2419013Z avoid OOM. 2025-07-17T07:12:16.2419216Z 2025-07-17T07:12:16.2419452Z For sharded optimizer state_dict, all states are unflattened but sharded. 2025-07-17T07:12:16.2419656Z CPU only can be specified via :meth:`state_dict_type` to further save 2025-07-17T07:12:16.2419754Z memory. 2025-07-17T07:12:16.2419832Z 2025-07-17T07:12:16.2420062Z For local state_dict, no transformation will be performed. But a state 2025-07-17T07:12:16.2420296Z will be converted from nn.Tensor to ShardedTensor to represent its sharding 2025-07-17T07:12:16.2420409Z nature (this is not supported yet). 2025-07-17T07:12:16.2420500Z 2025-07-17T07:12:16.2420589Z Example:: 2025-07-17T07:12:16.2420667Z 2025-07-17T07:12:16.2420810Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:16.2421041Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-07-17T07:12:16.2421196Z >>> from torch.distributed.fsdp import StateDictType 2025-07-17T07:12:16.2421385Z >>> from torch.distributed.fsdp import FullStateDictConfig 2025-07-17T07:12:16.2421581Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2025-07-17T07:12:16.2421694Z >>> # Save a checkpoint 2025-07-17T07:12:16.2421793Z >>> model, optim = ... 2025-07-17T07:12:16.2421898Z >>> FSDP.set_state_dict_type( 2025-07-17T07:12:16.2421995Z >>> model, 2025-07-17T07:12:16.2422117Z >>> StateDictType.FULL_STATE_DICT, 2025-07-17T07:12:16.2422244Z >>> FullStateDictConfig(rank0_only=False), 2025-07-17T07:12:16.2422397Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-07-17T07:12:16.2422477Z >>> ) 2025-07-17T07:12:16.2422591Z >>> state_dict = model.state_dict() 2025-07-17T07:12:16.2422770Z >>> optim_state_dict = FSDP.optim_state_dict(model, optim) 2025-07-17T07:12:16.2422911Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2025-07-17T07:12:16.2423021Z >>> # Load a checkpoint 2025-07-17T07:12:16.2423117Z >>> model, optim = ... 2025-07-17T07:12:16.2423266Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2025-07-17T07:12:16.2423385Z >>> FSDP.set_state_dict_type( 2025-07-17T07:12:16.2423501Z >>> model, 2025-07-17T07:12:16.2423619Z >>> StateDictType.FULL_STATE_DICT, 2025-07-17T07:12:16.2423762Z >>> FullStateDictConfig(rank0_only=False), 2025-07-17T07:12:16.2423900Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-07-17T07:12:16.2423983Z >>> ) 2025-07-17T07:12:16.2424110Z >>> model.load_state_dict(state_dict) 2025-07-17T07:12:16.2424256Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2025-07-17T07:12:16.2424385Z >>> model, optim, optim_state_dict 2025-07-17T07:12:16.2424471Z >>> ) 2025-07-17T07:12:16.2424592Z >>> optim.load_state_dict(optim_state_dict) 2025-07-17T07:12:16.2424682Z 2025-07-17T07:12:16.2424763Z Args: 2025-07-17T07:12:16.2424953Z model (torch.nn.Module): Root module (which may or may not be a 2025-07-17T07:12:16.2425166Z :class:`FullyShardedDataParallel` instance) whose parameters 2025-07-17T07:12:16.2425325Z were passed into the optimizer ``optim``. 2025-07-17T07:12:16.2425501Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2025-07-17T07:12:16.2425603Z parameters. 2025-07-17T07:12:16.2425811Z optim_state_dict (Dict[str, Any]): the target optimizer state_dict to 2025-07-17T07:12:16.2426029Z transform. If the value is None, optim.state_dict() will be used. ( 2025-07-17T07:12:16.2426122Z Default: ``None``) 2025-07-17T07:12:16.2426407Z group (dist.ProcessGroup): Model's process group across which parameters 2025-07-17T07:12:16.2426604Z are sharded or ``None`` if using the default process group. ( 2025-07-17T07:12:16.2426697Z Default: ``None``) 2025-07-17T07:12:16.2426775Z 2025-07-17T07:12:16.2426868Z Returns: 2025-07-17T07:12:16.2427054Z Dict[str, Any]: A :class:`dict` containing the optimizer state for 2025-07-17T07:12:16.2427220Z ``model``. The sharding of the optimizer state is based on 2025-07-17T07:12:16.2427328Z ``state_dict_type``. 2025-07-17T07:12:16.2427406Z 2025-07-17T07:12:16.2427667Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2427747Z 2025-07-17T07:12:16.2427842Z warnings.warn(msg) 2025-07-17T07:12:16.2427936Z 2025-07-17T07:12:16.2428139Z --- Parse Warning: 76 / 136 --- 2025-07-17T07:12:16.2429339Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1906. 2025-07-17T07:12:16.2429612Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2429689Z 2025-07-17T07:12:16.2430051Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model. 2025-07-17T07:12:16.2430133Z 2025-07-17T07:12:16.2430300Z Given a ``optim_state_dict`` that is transformed through 2025-07-17T07:12:16.2430521Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer 2025-07-17T07:12:16.2430727Z state_dict that can be loaded to ``optim`` which is the optimizer for 2025-07-17T07:12:16.2430912Z ``model``. ``model`` must be sharded by FullyShardedDataParallel. 2025-07-17T07:12:16.2431005Z 2025-07-17T07:12:16.2431136Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:16.2431368Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-07-17T07:12:16.2431536Z >>> from torch.distributed.fsdp import StateDictType 2025-07-17T07:12:16.2431712Z >>> from torch.distributed.fsdp import FullStateDictConfig 2025-07-17T07:12:16.2431921Z >>> from torch.distributed.fsdp import FullOptimStateDictConfig 2025-07-17T07:12:16.2432021Z >>> # Save a checkpoint 2025-07-17T07:12:16.2432147Z >>> model, optim = ... 2025-07-17T07:12:16.2432266Z >>> FSDP.set_state_dict_type( 2025-07-17T07:12:16.2432349Z >>> model, 2025-07-17T07:12:16.2432467Z >>> StateDictType.FULL_STATE_DICT, 2025-07-17T07:12:16.2432608Z >>> FullStateDictConfig(rank0_only=False), 2025-07-17T07:12:16.2432751Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-07-17T07:12:16.2432842Z >>> ) 2025-07-17T07:12:16.2432953Z >>> state_dict = model.state_dict() 2025-07-17T07:12:16.2433072Z >>> original_osd = optim.state_dict() 2025-07-17T07:12:16.2433211Z >>> optim_state_dict = FSDP.optim_state_dict( 2025-07-17T07:12:16.2433296Z >>> model, 2025-07-17T07:12:16.2433381Z >>> optim, 2025-07-17T07:12:16.2433504Z >>> optim_state_dict=original_osd 2025-07-17T07:12:16.2433583Z >>> ) 2025-07-17T07:12:16.2433724Z >>> save_a_checkpoint(state_dict, optim_state_dict) 2025-07-17T07:12:16.2433859Z >>> # Load a checkpoint 2025-07-17T07:12:16.2433955Z >>> model, optim = ... 2025-07-17T07:12:16.2434102Z >>> state_dict, optim_state_dict = load_a_checkpoint() 2025-07-17T07:12:16.2434219Z >>> FSDP.set_state_dict_type( 2025-07-17T07:12:16.2434303Z >>> model, 2025-07-17T07:12:16.2434433Z >>> StateDictType.FULL_STATE_DICT, 2025-07-17T07:12:16.2434560Z >>> FullStateDictConfig(rank0_only=False), 2025-07-17T07:12:16.2434764Z >>> FullOptimStateDictConfig(rank0_only=False), 2025-07-17T07:12:16.2434857Z >>> ) 2025-07-17T07:12:16.2434972Z >>> model.load_state_dict(state_dict) 2025-07-17T07:12:16.2435117Z >>> optim_state_dict = FSDP.optim_state_dict_to_load( 2025-07-17T07:12:16.2435242Z >>> model, optim, optim_state_dict 2025-07-17T07:12:16.2435325Z >>> ) 2025-07-17T07:12:16.2435448Z >>> optim.load_state_dict(optim_state_dict) 2025-07-17T07:12:16.2435539Z 2025-07-17T07:12:16.2435625Z Args: 2025-07-17T07:12:16.2435833Z model (torch.nn.Module): Root module (which may or may not be a 2025-07-17T07:12:16.2436030Z :class:`FullyShardedDataParallel` instance) whose parameters 2025-07-17T07:12:16.2436162Z were passed into the optimizer ``optim``. 2025-07-17T07:12:16.2436353Z optim (torch.optim.Optimizer): Optimizer for ``model`` 's 2025-07-17T07:12:16.2436442Z parameters. 2025-07-17T07:12:16.2436654Z optim_state_dict (Dict[str, Any]): The optimizer states to be loaded. 2025-07-17T07:12:16.2436863Z is_named_optimizer (bool): Is this optimizer a NamedOptimizer or 2025-07-17T07:12:16.2437049Z KeyedOptimizer. Only set to True if ``optim`` is TorchRec's 2025-07-17T07:12:16.2437234Z KeyedOptimizer or torch.distributed's NamedOptimizer. 2025-07-17T07:12:16.2437424Z load_directly (bool): If this is set to True, this API will also 2025-07-17T07:12:16.2437621Z call optim.load_state_dict(result) before returning the result. 2025-07-17T07:12:16.2437853Z Otherwise, users are responsible to call ``optim.load_state_dict()`` 2025-07-17T07:12:16.2437952Z (Default: ``False``) 2025-07-17T07:12:16.2438186Z group (dist.ProcessGroup): Model's process group across which parameters 2025-07-17T07:12:16.2438381Z are sharded or ``None`` if using the default process group. ( 2025-07-17T07:12:16.2438481Z Default: ``None``) 2025-07-17T07:12:16.2438565Z 2025-07-17T07:12:16.2438828Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2438906Z 2025-07-17T07:12:16.2439002Z warnings.warn(msg) 2025-07-17T07:12:16.2439091Z 2025-07-17T07:12:16.2439277Z --- Parse Warning: 77 / 136 --- 2025-07-17T07:12:16.2440277Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.__init__ in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=129. 2025-07-17T07:12:16.2440577Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2440653Z 2025-07-17T07:12:16.2440888Z RemoteModule instance can only be created after RPC initialization. 2025-07-17T07:12:16.2440966Z 2025-07-17T07:12:16.2441157Z It creates a user-specified module on a specified remote node. 2025-07-17T07:12:16.2441401Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2025-07-17T07:12:16.2441505Z executed on the remote node. 2025-07-17T07:12:16.2441734Z It takes care of autograd recording to ensure the backward pass propagates 2025-07-17T07:12:16.2441898Z gradients back to the corresponding remote module. 2025-07-17T07:12:16.2442257Z It can be shared across processors using `RPC framework `__, 2025-07-17T07:12:16.2442484Z without incurring any overheads of copying the actual module, 2025-07-17T07:12:16.2442682Z which is equivalent to an :class:`~torch.distributed.rpc.RRef` 2025-07-17T07:12:16.2442788Z pointing to the remote module. 2025-07-17T07:12:16.2442879Z 2025-07-17T07:12:16.2443073Z The arguments of ``forward_async`` and ``forward`` are the same as 2025-07-17T07:12:16.2443273Z the ``forward`` method of the module returned by the ``module_cls``. 2025-07-17T07:12:16.2443364Z 2025-07-17T07:12:16.2443717Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now. 2025-07-17T07:12:16.2443795Z 2025-07-17T07:12:16.2444056Z Particularly, to create a hybrid model, typically the local modules should be 2025-07-17T07:12:16.2444424Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``). 2025-07-17T07:12:16.2444527Z Hybrid Example: 2025-07-17T07:12:16.2444644Z >>> class HybridModel(nn.Module): 2025-07-17T07:12:16.2444755Z >>> def __init__(self) -> None: 2025-07-17T07:12:16.2444879Z >>> nn.Module.__init__(self) 2025-07-17T07:12:16.2445017Z >>> self.remote_embedding = RemoteModule(...) 2025-07-17T07:12:16.2445138Z >>> self.local_linear = nn.Linear(...) 2025-07-17T07:12:16.2445227Z 2025-07-17T07:12:16.2445423Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2025-07-17T07:12:16.2445680Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``, 2025-07-17T07:12:16.2445883Z the generated ``RemoteModule`` will have 2 methods in signature of 2025-07-17T07:12:16.2446010Z ``def forward(input: Tensor) -> Tensor:`` and 2025-07-17T07:12:16.2446181Z ``def forward_async(input: Tensor) -> Future[Tensor]:``. 2025-07-17T07:12:16.2446258Z 2025-07-17T07:12:16.2446341Z .. note:: 2025-07-17T07:12:16.2446490Z If the remote module is placed on a cuda device, 2025-07-17T07:12:16.2446728Z any input CPU tensors will be automatically moved to the same cuda device, 2025-07-17T07:12:16.2447123Z and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend. 2025-07-17T07:12:16.2447211Z 2025-07-17T07:12:16.2447291Z Args: 2025-07-17T07:12:16.2447594Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-07-17T07:12:16.2447880Z The device can be a local device or a remote device specified by one of the following remote 2025-07-17T07:12:16.2447964Z formats: 2025-07-17T07:12:16.2448051Z 2025-07-17T07:12:16.2448188Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2025-07-17T07:12:16.2448337Z 2. "/" (ex: "trainer0/cuda:0"). 2025-07-17T07:12:16.2448425Z 2025-07-17T07:12:16.2448670Z In addition, the device field can be optional and the default value is "cpu". 2025-07-17T07:12:16.2448820Z module_cls (nn.Module): For example, 2025-07-17T07:12:16.2448927Z >>> class MyModule(nn.Module): 2025-07-17T07:12:16.2449025Z >>> def forward(input): 2025-07-17T07:12:16.2449136Z >>> return input + 1 2025-07-17T07:12:16.2449215Z >>> 2025-07-17T07:12:16.2449312Z >>> module_cls = MyModule 2025-07-17T07:12:16.2449516Z args (Sequence, optional): args to be passed to ``module_cls``. 2025-07-17T07:12:16.2449706Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2025-07-17T07:12:16.2449979Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2025-07-17T07:12:16.2450218Z to be created. The type object should be decorated by @torch.jit.interface. 2025-07-17T07:12:16.2450429Z If not provided, the generated RemoteModule is not torchscript-able. 2025-07-17T07:12:16.2450694Z Warning, this is an experimental API and susceptible to frequent changes. 2025-07-17T07:12:16.2450771Z 2025-07-17T07:12:16.2450852Z Returns: 2025-07-17T07:12:16.2451100Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-07-17T07:12:16.2451323Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2025-07-17T07:12:16.2451592Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-07-17T07:12:16.2451743Z on the user-provided module on the remote side. 2025-07-17T07:12:16.2451868Z 2025-07-17T07:12:16.2451970Z Example:: 2025-07-17T07:12:16.2452118Z Run the following code in two different processes: 2025-07-17T07:12:16.2452198Z 2025-07-17T07:12:16.2452322Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:16.2452411Z >>> # On worker 0: 2025-07-17T07:12:16.2452501Z >>> import torch 2025-07-17T07:12:16.2452637Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:16.2452747Z >>> from torch import nn, Tensor 2025-07-17T07:12:16.2452962Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-07-17T07:12:16.2453053Z >>> 2025-07-17T07:12:16.2453194Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-07-17T07:12:16.2453313Z >>> remote_linear_module = RemoteModule( 2025-07-17T07:12:16.2453450Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-07-17T07:12:16.2453531Z >>> ) 2025-07-17T07:12:16.2453651Z >>> input = torch.randn(128, 20) 2025-07-17T07:12:16.2453803Z >>> ret_fut = remote_linear_module.forward_async(input) 2025-07-17T07:12:16.2453899Z >>> ret = ret_fut.wait() 2025-07-17T07:12:16.2454006Z >>> rpc.shutdown() 2025-07-17T07:12:16.2454083Z 2025-07-17T07:12:16.2454171Z >>> # On worker 1: 2025-07-17T07:12:16.2454271Z >>> import torch 2025-07-17T07:12:16.2454393Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:16.2454474Z >>> 2025-07-17T07:12:16.2454620Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-07-17T07:12:16.2454712Z >>> rpc.shutdown() 2025-07-17T07:12:16.2454789Z 2025-07-17T07:12:16.2455051Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2455129Z 2025-07-17T07:12:16.2455234Z warnings.warn(msg) 2025-07-17T07:12:16.2455311Z 2025-07-17T07:12:16.2455506Z --- Parse Warning: 78 / 136 --- 2025-07-17T07:12:16.2456585Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=506. 2025-07-17T07:12:16.2456846Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2456923Z 2025-07-17T07:12:16.2457261Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef. 2025-07-17T07:12:16.2457372Z 2025-07-17T07:12:16.2457704Z This alternate initialization method can be particularly useful if we want to create multiple 2025-07-17T07:12:16.2458016Z RemoteModule instances that share the same underlying module and reduce memory consumption. 2025-07-17T07:12:16.2458095Z 2025-07-17T07:12:16.2458383Z Moreover, this also provides a workaround for passing script RemoteModule over RPC, 2025-07-17T07:12:16.2458562Z which is not supported. The recommended way is as follows: 2025-07-17T07:12:16.2458637Z 2025-07-17T07:12:16.2458765Z 1. the sender creates a RemoteModule; 2025-07-17T07:12:16.2458906Z 2. the sender sends its ``module_rref`` over RPC; 2025-07-17T07:12:16.2459337Z 3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``. 2025-07-17T07:12:16.2459419Z 2025-07-17T07:12:16.2459539Z Example:: 2025-07-17T07:12:16.2459705Z Run the following code in two different processes: 2025-07-17T07:12:16.2459784Z 2025-07-17T07:12:16.2459899Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:16.2460004Z >>> # On worker 0: 2025-07-17T07:12:16.2460094Z >>> import torch 2025-07-17T07:12:16.2460216Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:16.2460336Z >>> from torch import nn, Tensor 2025-07-17T07:12:16.2460553Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-07-17T07:12:16.2460634Z >>> 2025-07-17T07:12:16.2460837Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-07-17T07:12:16.2460946Z >>> remote_module = RemoteModule( 2025-07-17T07:12:16.2461081Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-07-17T07:12:16.2461160Z >>> ) 2025-07-17T07:12:16.2461238Z >>> 2025-07-17T07:12:16.2461356Z >>> remote_module1 = rpc.rpc_sync( 2025-07-17T07:12:16.2461451Z >>> "worker1/cpu", 2025-07-17T07:12:16.2461575Z >>> RemoteModule.init_from_module_rref, 2025-07-17T07:12:16.2461739Z >>> ("worker1/cpu", remote_module1.get_module_rref()), 2025-07-17T07:12:16.2461820Z >>> ) 2025-07-17T07:12:16.2461916Z >>> rpc.shutdown() 2025-07-17T07:12:16.2462006Z 2025-07-17T07:12:16.2462094Z >>> # On worker 1: 2025-07-17T07:12:16.2462194Z >>> import torch 2025-07-17T07:12:16.2462316Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:16.2462396Z >>> 2025-07-17T07:12:16.2462544Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-07-17T07:12:16.2462634Z >>> rpc.shutdown() 2025-07-17T07:12:16.2462712Z 2025-07-17T07:12:16.2462804Z Args: 2025-07-17T07:12:16.2463096Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-07-17T07:12:16.2463381Z The device can be a local device or a remote device specified by one of the following remote 2025-07-17T07:12:16.2463480Z formats: 2025-07-17T07:12:16.2463555Z 2025-07-17T07:12:16.2463690Z 1. "rank:/" (ex: "rank:0/cuda:0"). 2025-07-17T07:12:16.2463844Z 2. "/" (ex: "trainer0/cuda:0"). 2025-07-17T07:12:16.2463930Z 2025-07-17T07:12:16.2464182Z In addition, the device field can be optional and the default value is "cpu". 2025-07-17T07:12:16.2464428Z module_rref (RRef[nn.Module]): The module reference shared by both the caller and 2025-07-17T07:12:16.2464550Z the created remote module. 2025-07-17T07:12:16.2464826Z _module_interface_cls (type, optional): The TorchScript interface type for the module 2025-07-17T07:12:16.2465054Z to be created. The type object should be decorated by @torch.jit.interface. 2025-07-17T07:12:16.2465280Z If not provided, the generated RemoteModule is not torchscript-able. 2025-07-17T07:12:16.2465511Z Warning, this is an experimental API and susceptible to frequent changes. 2025-07-17T07:12:16.2465615Z 2025-07-17T07:12:16.2465707Z Returns: 2025-07-17T07:12:16.2465947Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-07-17T07:12:16.2466186Z user-provided ``module_rref``, it has a blocking ``forward`` method and an 2025-07-17T07:12:16.2466456Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-07-17T07:12:16.2466598Z on the user-provided module on the remote side. 2025-07-17T07:12:16.2466690Z 2025-07-17T07:12:16.2466939Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2467017Z 2025-07-17T07:12:16.2467124Z warnings.warn(msg) 2025-07-17T07:12:16.2467202Z 2025-07-17T07:12:16.2467401Z --- Parse Warning: 79 / 136 --- 2025-07-17T07:12:16.2468388Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RemoteModule in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/nn/api/remote_module.py line=598. 2025-07-17T07:12:16.2468690Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2468781Z 2025-07-17T07:12:16.2469006Z A RemoteModule instance can only be created after RPC initialization. 2025-07-17T07:12:16.2469083Z 2025-07-17T07:12:16.2469286Z It creates a user-specified module on a specified remote node. 2025-07-17T07:12:16.2469830Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is 2025-07-17T07:12:16.2469936Z executed on the remote node. 2025-07-17T07:12:16.2470180Z It takes care of autograd recording to ensure the backward pass propagates 2025-07-17T07:12:16.2470337Z gradients back to the corresponding remote module. 2025-07-17T07:12:16.2470426Z 2025-07-17T07:12:16.2470645Z It generates two methods ``forward_async`` and ``forward`` based on the 2025-07-17T07:12:16.2470859Z signature of the ``forward`` method of ``module_cls``. ``forward_async`` 2025-07-17T07:12:16.2471116Z runs asynchronously and returns a Future. The arguments of ``forward_async`` 2025-07-17T07:12:16.2471309Z and ``forward`` are the same as the ``forward`` method of the module 2025-07-17T07:12:16.2471414Z returned by the ``module_cls``. 2025-07-17T07:12:16.2471500Z 2025-07-17T07:12:16.2471697Z For example, if ``module_cls`` returns an instance of ``nn.Linear``, 2025-07-17T07:12:16.2471953Z that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``, 2025-07-17T07:12:16.2472176Z the generated ``RemoteModule`` will have 2 methods with the signatures: 2025-07-17T07:12:16.2472255Z 2025-07-17T07:12:16.2472386Z | ``def forward(input: Tensor) -> Tensor:`` 2025-07-17T07:12:16.2472547Z | ``def forward_async(input: Tensor) -> Future[Tensor]:`` 2025-07-17T07:12:16.2472628Z 2025-07-17T07:12:16.2472722Z Args: 2025-07-17T07:12:16.2473016Z remote_device (str): Device on the destination worker where we'd like to place this module. 2025-07-17T07:12:16.2473361Z The format should be "/", where the device field can be parsed as torch.device type. 2025-07-17T07:12:16.2473495Z E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0". 2025-07-17T07:12:16.2473737Z In addition, the device field can be optional and the default value is "cpu". 2025-07-17T07:12:16.2473995Z module_cls (nn.Module): Class for the module to be created remotely. For example, 2025-07-17T07:12:16.2474071Z 2025-07-17T07:12:16.2474181Z >>> class MyModule(nn.Module): 2025-07-17T07:12:16.2474284Z >>> def forward(input): 2025-07-17T07:12:16.2474382Z >>> return input + 1 2025-07-17T07:12:16.2474461Z >>> 2025-07-17T07:12:16.2474567Z >>> module_cls = MyModule 2025-07-17T07:12:16.2474689Z 2025-07-17T07:12:16.2474891Z args (Sequence, optional): args to be passed to ``module_cls``. 2025-07-17T07:12:16.2475078Z kwargs (Dict, optional): kwargs to be passed to ``module_cls``. 2025-07-17T07:12:16.2475154Z 2025-07-17T07:12:16.2475243Z Returns: 2025-07-17T07:12:16.2475481Z A remote module instance which wraps the :class:`~nn.Module` created by the 2025-07-17T07:12:16.2475707Z user-provided ``module_cls``, it has a blocking ``forward`` method and an 2025-07-17T07:12:16.2475986Z asynchronous ``forward_async`` method that returns a future of the ``forward`` call 2025-07-17T07:12:16.2476126Z on the user-provided module on the remote side. 2025-07-17T07:12:16.2476200Z 2025-07-17T07:12:16.2476297Z Example:: 2025-07-17T07:12:16.2476446Z Run the following code in two different processes: 2025-07-17T07:12:16.2476534Z 2025-07-17T07:12:16.2476720Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:16.2476812Z >>> # On worker 0: 2025-07-17T07:12:16.2476907Z >>> import torch 2025-07-17T07:12:16.2477033Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:16.2477138Z >>> from torch import nn, Tensor 2025-07-17T07:12:16.2477364Z >>> from torch.distributed.nn.api.remote_module import RemoteModule 2025-07-17T07:12:16.2477442Z >>> 2025-07-17T07:12:16.2477576Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-07-17T07:12:16.2477703Z >>> remote_linear_module = RemoteModule( 2025-07-17T07:12:16.2477873Z >>> "worker1/cpu", nn.Linear, args=(20, 30), 2025-07-17T07:12:16.2477961Z >>> ) 2025-07-17T07:12:16.2478063Z >>> input = torch.randn(128, 20) 2025-07-17T07:12:16.2478214Z >>> ret_fut = remote_linear_module.forward_async(input) 2025-07-17T07:12:16.2478317Z >>> ret = ret_fut.wait() 2025-07-17T07:12:16.2478411Z >>> rpc.shutdown() 2025-07-17T07:12:16.2478489Z 2025-07-17T07:12:16.2478581Z >>> # On worker 1: 2025-07-17T07:12:16.2478670Z >>> import torch 2025-07-17T07:12:16.2478793Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:16.2478881Z >>> 2025-07-17T07:12:16.2479015Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-07-17T07:12:16.2479108Z >>> rpc.shutdown() 2025-07-17T07:12:16.2479191Z 2025-07-17T07:12:16.2479379Z Furthermore, a more practical example that is combined with 2025-07-17T07:12:16.2479864Z `DistributedDataParallel `__ (DDP) 2025-07-17T07:12:16.2480191Z can be found in this `tutorial `__. 2025-07-17T07:12:16.2480269Z 2025-07-17T07:12:16.2480527Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2480602Z 2025-07-17T07:12:16.2480698Z warnings.warn(msg) 2025-07-17T07:12:16.2480783Z 2025-07-17T07:12:16.2480992Z --- Parse Warning: 80 / 136 --- 2025-07-17T07:12:16.2481990Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/optimizer.py line=129. 2025-07-17T07:12:16.2482264Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2482343Z 2025-07-17T07:12:16.2482598Z DistributedOptimizer takes remote references to parameters scattered 2025-07-17T07:12:16.2482835Z across workers and applies the given optimizer locally for each parameter. 2025-07-17T07:12:16.2482911Z 2025-07-17T07:12:16.2483154Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order 2025-07-17T07:12:16.2483305Z to retrieve the gradients for specific parameters. 2025-07-17T07:12:16.2483384Z 2025-07-17T07:12:16.2483486Z Concurrent calls to 2025-07-17T07:12:16.2483715Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`, 2025-07-17T07:12:16.2483862Z either from the same or different clients, will 2025-07-17T07:12:16.2484080Z be serialized on each worker -- as each worker's optimizer can only work 2025-07-17T07:12:16.2484278Z on one set of gradients at a time. However, there is no guarantee that 2025-07-17T07:12:16.2484530Z the full forward-backward-optimizer sequence will execute for one client 2025-07-17T07:12:16.2484742Z at a time. This means that the gradients being applied may not correspond 2025-07-17T07:12:16.2484959Z to the latest forward pass executed on a given worker. Also, there is no 2025-07-17T07:12:16.2485077Z guaranteed ordering across workers. 2025-07-17T07:12:16.2485152Z 2025-07-17T07:12:16.2485417Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled 2025-07-17T07:12:16.2485639Z by default, so that optimizer updates are not blocked by the Python Global 2025-07-17T07:12:16.2485912Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed 2025-07-17T07:12:16.2486154Z Model Parallel). This feature is currently enabled for most optimizers. You 2025-07-17T07:12:16.2486401Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support 2025-07-17T07:12:16.2486507Z for your own custom optimizers. 2025-07-17T07:12:16.2486588Z 2025-07-17T07:12:16.2486665Z Args: 2025-07-17T07:12:16.2486903Z optimizer_class (optim.Optimizer): the class of optimizer to 2025-07-17T07:12:16.2487017Z instantiate on each worker. 2025-07-17T07:12:16.2487219Z params_rref (list[RRef]): list of RRefs to local or remote parameters 2025-07-17T07:12:16.2487316Z to optimize. 2025-07-17T07:12:16.2487523Z args: arguments to pass to the optimizer constructor on each worker. 2025-07-17T07:12:16.2487738Z kwargs: arguments to pass to the optimizer constructor on each worker. 2025-07-17T07:12:16.2487826Z 2025-07-17T07:12:16.2487913Z Example:: 2025-07-17T07:12:16.2488027Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:16.2488196Z >>> import torch.distributed.autograd as dist_autograd 2025-07-17T07:12:16.2488317Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:16.2488417Z >>> from torch import optim 2025-07-17T07:12:16.2488609Z >>> from torch.distributed.optim import DistributedOptimizer 2025-07-17T07:12:16.2488686Z >>> 2025-07-17T07:12:16.2488830Z >>> with dist_autograd.context() as context_id: 2025-07-17T07:12:16.2488923Z >>> # Forward pass. 2025-07-17T07:12:16.2489117Z >>> rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3)) 2025-07-17T07:12:16.2489318Z >>> rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1)) 2025-07-17T07:12:16.2489440Z >>> loss = rref1.to_here() + rref2.to_here() 2025-07-17T07:12:16.2489518Z >>> 2025-07-17T07:12:16.2489625Z >>> # Backward pass. 2025-07-17T07:12:16.2489772Z >>> dist_autograd.backward(context_id, [loss.sum()]) 2025-07-17T07:12:16.2489859Z >>> 2025-07-17T07:12:16.2489946Z >>> # Optimizer. 2025-07-17T07:12:16.2490068Z >>> dist_optim = DistributedOptimizer( 2025-07-17T07:12:16.2490165Z >>> optim.SGD, 2025-07-17T07:12:16.2490257Z >>> [rref1, rref2], 2025-07-17T07:12:16.2490343Z >>> lr=0.05, 2025-07-17T07:12:16.2490430Z >>> ) 2025-07-17T07:12:16.2490545Z >>> dist_optim.step(context_id) 2025-07-17T07:12:16.2490622Z 2025-07-17T07:12:16.2490778Z __ https://github.com/pytorch/tutorials/pull/1465 2025-07-17T07:12:16.2490856Z 2025-07-17T07:12:16.2491104Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2491188Z 2025-07-17T07:12:16.2491282Z warnings.warn(msg) 2025-07-17T07:12:16.2491358Z 2025-07-17T07:12:16.2491556Z --- Parse Warning: 81 / 136 --- 2025-07-17T07:12:16.2492657Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PostLocalSGDOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9. 2025-07-17T07:12:16.2492928Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2493005Z 2025-07-17T07:12:16.2493397Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD `_, 2025-07-17T07:12:16.2493556Z This optimizer runs local optimizer at every step. 2025-07-17T07:12:16.2493887Z After the warm-up stage, it averages parameters periodically after the local optimizer is applied. 2025-07-17T07:12:16.2493973Z 2025-07-17T07:12:16.2494050Z Args: 2025-07-17T07:12:16.2494151Z optim: The local optimizer. 2025-07-17T07:12:16.2494408Z averager: A model averager instance to run post-localSGD algorithm. 2025-07-17T07:12:16.2494486Z 2025-07-17T07:12:16.2494571Z Example:: 2025-07-17T07:12:16.2494655Z 2025-07-17T07:12:16.2494779Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:16.2494869Z >>> import torch 2025-07-17T07:12:16.2494993Z >>> import torch.distributed as dist 2025-07-17T07:12:16.2495259Z >>> import torch.distributed.algorithms.model_averaging.averagers as averagers 2025-07-17T07:12:16.2495359Z >>> import torch.nn as nn 2025-07-17T07:12:16.2495604Z >>> from torch.distributed.optim import PostLocalSGDOptimizer 2025-07-17T07:12:16.2495871Z >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import ( 2025-07-17T07:12:16.2495977Z >>> PostLocalSGDState, 2025-07-17T07:12:16.2496073Z >>> post_localSGD_hook, 2025-07-17T07:12:16.2496152Z >>> ) 2025-07-17T07:12:16.2496242Z >>> 2025-07-17T07:12:16.2496397Z >>> model = nn.parallel.DistributedDataParallel( 2025-07-17T07:12:16.2496538Z >>> module, device_ids=[rank], output_device=rank 2025-07-17T07:12:16.2496626Z >>> ) 2025-07-17T07:12:16.2496706Z >>> 2025-07-17T07:12:16.2496849Z >>> # Register a post-localSGD communication hook. 2025-07-17T07:12:16.2497151Z >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100) 2025-07-17T07:12:16.2497311Z >>> model.register_comm_hook(state, post_localSGD_hook) 2025-07-17T07:12:16.2497400Z >>> 2025-07-17T07:12:16.2497603Z >>> # Create a post-localSGD optimizer that wraps a local optimizer. 2025-07-17T07:12:16.2497849Z >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as 2025-07-17T07:12:16.2498024Z >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``. 2025-07-17T07:12:16.2498232Z >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01) 2025-07-17T07:12:16.2498349Z >>> opt = PostLocalSGDOptimizer( 2025-07-17T07:12:16.2498459Z >>> optim=local_optim, 2025-07-17T07:12:16.2498704Z >>> averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100) 2025-07-17T07:12:16.2498794Z >>> ) 2025-07-17T07:12:16.2498874Z >>> 2025-07-17T07:12:16.2499188Z >>> # In the first 100 steps, DDP runs global gradient averaging at every step. 2025-07-17T07:12:16.2499498Z >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default), 2025-07-17T07:12:16.2499877Z >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer. 2025-07-17T07:12:16.2499982Z >>> for step in range(0, 200): 2025-07-17T07:12:16.2500087Z >>> opt.zero_grad() 2025-07-17T07:12:16.2500200Z >>> loss = loss_fn(output, labels) 2025-07-17T07:12:16.2500306Z >>> loss.backward() 2025-07-17T07:12:16.2500398Z >>> opt.step() 2025-07-17T07:12:16.2500529Z 2025-07-17T07:12:16.2500791Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2500871Z 2025-07-17T07:12:16.2500966Z warnings.warn(msg) 2025-07-17T07:12:16.2501047Z 2025-07-17T07:12:16.2501245Z --- Parse Warning: 82 / 136 --- 2025-07-17T07:12:16.2502346Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284. 2025-07-17T07:12:16.2502615Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2502693Z 2025-07-17T07:12:16.2503102Z Wrap an arbitrary :class:`optim.Optimizer ` and shards its states across ranks in the group. 2025-07-17T07:12:16.2503182Z 2025-07-17T07:12:16.2503455Z The sharing is done as described by `ZeRO `_. 2025-07-17T07:12:16.2503543Z 2025-07-17T07:12:16.2503685Z The local optimizer instance in each rank is only 2025-07-17T07:12:16.2503922Z responsible for updating approximately ``1 / world_size`` parameters and 2025-07-17T07:12:16.2504125Z hence only needs to keep ``1 / world_size`` optimizer states. After 2025-07-17T07:12:16.2504364Z parameters are updated locally, each rank will broadcast its parameters to 2025-07-17T07:12:16.2504607Z all other peers to keep all model replicas in the same state. 2025-07-17T07:12:16.2504800Z ``ZeroRedundancyOptimizer`` can be used in conjunction with 2025-07-17T07:12:16.2505053Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak 2025-07-17T07:12:16.2505156Z memory consumption. 2025-07-17T07:12:16.2505232Z 2025-07-17T07:12:16.2505489Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number 2025-07-17T07:12:16.2505722Z of parameters at each rank. Each parameter belongs to a single rank and is 2025-07-17T07:12:16.2505958Z not divided among ranks. The partition is arbitrary and might not match the 2025-07-17T07:12:16.2506086Z the parameter registration or usage order. 2025-07-17T07:12:16.2506168Z 2025-07-17T07:12:16.2506251Z Arguments: 2025-07-17T07:12:16.2506447Z params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s 2025-07-17T07:12:16.2506624Z or :class:`dict` s giving all parameters, which will be sharded 2025-07-17T07:12:16.2506717Z across ranks. 2025-07-17T07:12:16.2506803Z 2025-07-17T07:12:16.2506887Z Keyword Args: 2025-07-17T07:12:16.2507108Z optimizer_class (:class:`torch.nn.Optimizer`): the class of the local 2025-07-17T07:12:16.2507201Z optimizer. 2025-07-17T07:12:16.2507405Z process_group (``ProcessGroup``, optional): ``torch.distributed`` 2025-07-17T07:12:16.2507599Z ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by 2025-07-17T07:12:16.2507757Z :meth:`torch.distributed.init_process_group`). 2025-07-17T07:12:16.2507984Z parameters_as_bucket_view (bool, optional): if ``True``, parameters are 2025-07-17T07:12:16.2508202Z packed into buckets to speed up communication, and ``param.data`` 2025-07-17T07:12:16.2508395Z fields point to bucket views at different offsets; if ``False``, 2025-07-17T07:12:16.2508594Z each individual parameter is communicated separately, and each 2025-07-17T07:12:16.2508753Z ``params.data`` stays intact (default: ``False``). 2025-07-17T07:12:16.2508944Z overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is 2025-07-17T07:12:16.2509140Z overlapped with :class:`DistributedDataParallel` 's gradient 2025-07-17T07:12:16.2509356Z synchronization; this requires (1) either a functional optimizer 2025-07-17T07:12:16.2509533Z for the ``optimizer_class`` argument or one with a functional 2025-07-17T07:12:16.2509754Z equivalent and (2) registering a DDP communication hook 2025-07-17T07:12:16.2509949Z constructed from one of the functions in ``ddp_zero_hook.py``; 2025-07-17T07:12:16.2510113Z parameters are packed into buckets matching those in 2025-07-17T07:12:16.2510275Z :class:`DistributedDataParallel`, meaning that the 2025-07-17T07:12:16.2510417Z ``parameters_as_bucket_view`` argument is ignored. 2025-07-17T07:12:16.2510616Z If ``False``, :meth:`step` runs disjointly after the backward pass 2025-07-17T07:12:16.2510705Z (per normal). 2025-07-17T07:12:16.2510800Z (default: ``False``) 2025-07-17T07:12:16.2511017Z **defaults: any trailing arguments, which are forwarded to the local 2025-07-17T07:12:16.2511100Z optimizer. 2025-07-17T07:12:16.2511175Z 2025-07-17T07:12:16.2511272Z Example:: 2025-07-17T07:12:16.2511370Z 2025-07-17T07:12:16.2511463Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2511574Z >>> import torch.nn as nn 2025-07-17T07:12:16.2511770Z >>> from torch.distributed.optim import ZeroRedundancyOptimizer 2025-07-17T07:12:16.2511965Z >>> from torch.nn.parallel import DistributedDataParallel as DDP 2025-07-17T07:12:16.2512197Z >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)]) 2025-07-17T07:12:16.2512312Z >>> ddp = DDP(model, device_ids=[rank]) 2025-07-17T07:12:16.2512441Z >>> opt = ZeroRedundancyOptimizer( 2025-07-17T07:12:16.2512619Z >>> ddp.parameters(), 2025-07-17T07:12:16.2512740Z >>> optimizer_class=torch.optim.Adam, 2025-07-17T07:12:16.2512835Z >>> lr=0.01 2025-07-17T07:12:16.2512913Z >>> ) 2025-07-17T07:12:16.2513018Z >>> ddp(inputs).sum().backward() 2025-07-17T07:12:16.2513114Z >>> opt.step() 2025-07-17T07:12:16.2513190Z 2025-07-17T07:12:16.2513277Z .. warning:: 2025-07-17T07:12:16.2513495Z Currently, ``ZeroRedundancyOptimizer`` requires that all of the 2025-07-17T07:12:16.2513641Z passed-in parameters are the same dense type. 2025-07-17T07:12:16.2513728Z 2025-07-17T07:12:16.2513814Z .. warning:: 2025-07-17T07:12:16.2514022Z If you pass ``overlap_with_ddp=True``, be wary of the following: Given 2025-07-17T07:12:16.2514230Z the way that overlapping :class:`DistributedDataParallel` with 2025-07-17T07:12:16.2514460Z :class:`ZeroRedundancyOptimizer` is currently implemented, the first 2025-07-17T07:12:16.2514676Z two or three training iterations do not perform parameter updates in 2025-07-17T07:12:16.2514870Z the optimizer step, depending on if ``static_graph=False`` or 2025-07-17T07:12:16.2515046Z ``static_graph=True``, respectively. This is because it needs 2025-07-17T07:12:16.2515235Z information about the gradient bucketing strategy used by 2025-07-17T07:12:16.2515448Z :class:`DistributedDataParallel`, which is not finalized until the 2025-07-17T07:12:16.2515643Z second forward pass if ``static_graph=False`` or until the third 2025-07-17T07:12:16.2515859Z forward pass if ``static_graph=True``. To adjust for this, one option 2025-07-17T07:12:16.2515961Z is to prepend dummy inputs. 2025-07-17T07:12:16.2516038Z 2025-07-17T07:12:16.2516296Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change. 2025-07-17T07:12:16.2516369Z 2025-07-17T07:12:16.2516623Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2516704Z 2025-07-17T07:12:16.2516797Z warnings.warn(msg) 2025-07-17T07:12:16.2516881Z 2025-07-17T07:12:16.2517070Z --- Parse Warning: 83 / 136 --- 2025-07-17T07:12:16.2518054Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_CustomReducer in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/pipelining/microbatch.py line=29. 2025-07-17T07:12:16.2518352Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2518427Z 2025-07-17T07:12:16.2518649Z Custom reducer class that can be used to specify a custom operation that 2025-07-17T07:12:16.2518832Z reduces losses of multiple microbatches into one value. 2025-07-17T07:12:16.2518908Z 2025-07-17T07:12:16.2518998Z Example: 2025-07-17T07:12:16.2519091Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2519201Z >>> sum_reducer = _CustomReducer( 2025-07-17T07:12:16.2519307Z >>> torch.tensor(0.0), 2025-07-17T07:12:16.2519398Z >>> lambda a, b: a + b 2025-07-17T07:12:16.2519475Z >>> ) 2025-07-17T07:12:16.2519561Z 2025-07-17T07:12:16.2519807Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2519885Z 2025-07-17T07:12:16.2519984Z warnings.warn(msg) 2025-07-17T07:12:16.2520085Z 2025-07-17T07:12:16.2520265Z --- Parse Warning: 84 / 136 --- 2025-07-17T07:12:16.2521205Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_execution in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/functions.py line=6. 2025-07-17T07:12:16.2521464Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2521549Z 2025-07-17T07:12:16.2521830Z A decorator for a function indicating that the return value of the function 2025-07-17T07:12:16.2522033Z is guaranteed to be a :class:`~torch.futures.Future` object and this 2025-07-17T07:12:16.2522278Z function can run asynchronously on the RPC callee. More specifically, the 2025-07-17T07:12:16.2522509Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped 2025-07-17T07:12:16.2522740Z function and installs subsequent processing steps as a callback to that 2025-07-17T07:12:16.2522977Z :class:`~torch.futures.Future`. The installed callback will read the value 2025-07-17T07:12:16.2523176Z from the :class:`~torch.futures.Future` when completed and send the 2025-07-17T07:12:16.2523363Z value back as the RPC response. That also means the returned 2025-07-17T07:12:16.2523586Z :class:`~torch.futures.Future` only exists on the callee side and is never 2025-07-17T07:12:16.2523808Z sent through RPC. This decorator is useful when the wrapped function's 2025-07-17T07:12:16.2524014Z (``fn``) execution needs to pause and resume due to, e.g., containing 2025-07-17T07:12:16.2524233Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals. 2025-07-17T07:12:16.2524312Z 2025-07-17T07:12:16.2524528Z .. note:: To enable asynchronous execution, applications must pass the 2025-07-17T07:12:16.2524754Z function object returned by this decorator to RPC APIs. If RPC detected 2025-07-17T07:12:16.2524981Z attributes installed by this decorator, it knows that this function 2025-07-17T07:12:16.2525159Z returns a ``Future`` object and will handle that accordingly. 2025-07-17T07:12:16.2525367Z However, this does not mean this decorator has to be outmost one when 2025-07-17T07:12:16.2525599Z defining a function. For example, when combined with ``@staticmethod`` 2025-07-17T07:12:16.2525802Z or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the 2025-07-17T07:12:16.2526031Z inner decorator to allow the target function be recognized as a static 2025-07-17T07:12:16.2526254Z or class function. This target function can still execute asynchronously 2025-07-17T07:12:16.2526472Z because, when accessed, the static or class method preserves attributes 2025-07-17T07:12:16.2526635Z installed by ``@rpc.functions.async_execution``. 2025-07-17T07:12:16.2526713Z 2025-07-17T07:12:16.2526789Z 2025-07-17T07:12:16.2526883Z Example:: 2025-07-17T07:12:16.2527076Z The returned :class:`~torch.futures.Future` object can come from 2025-07-17T07:12:16.2527231Z :meth:`~torch.distributed.rpc.rpc_async`, 2025-07-17T07:12:16.2527459Z :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future` 2025-07-17T07:12:16.2527631Z constructor. The example below shows directly using the 2025-07-17T07:12:16.2527770Z :class:`~torch.futures.Future` returned by 2025-07-17T07:12:16.2527887Z :meth:`~torch.futures.Future.then`. 2025-07-17T07:12:16.2527963Z 2025-07-17T07:12:16.2528095Z >>> from torch.distributed import rpc 2025-07-17T07:12:16.2528172Z >>> 2025-07-17T07:12:16.2528286Z >>> # omitting setup and shutdown RPC 2025-07-17T07:12:16.2528375Z >>> 2025-07-17T07:12:16.2528462Z >>> # On all workers 2025-07-17T07:12:16.2528581Z >>> @rpc.functions.async_execution 2025-07-17T07:12:16.2528708Z >>> def async_add_chained(to, x, y, z): 2025-07-17T07:12:16.2528924Z >>> # This function runs on "worker1" and returns immediately when 2025-07-17T07:12:16.2529123Z >>> # the callback is installed through the `then(cb)` API. In the 2025-07-17T07:12:16.2529302Z >>> # mean time, the `rpc_async` to "worker2" can run concurrently. 2025-07-17T07:12:16.2529459Z >>> # When the return value of that `rpc_async` arrives at 2025-07-17T07:12:16.2529655Z >>> # "worker1", "worker1" will run the lambda function accordingly 2025-07-17T07:12:16.2529896Z >>> # and set the value for the previously returned `Future`, which 2025-07-17T07:12:16.2530073Z >>> # will then trigger RPC to send the result back to "worker0". 2025-07-17T07:12:16.2530247Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-07-17T07:12:16.2530356Z >>> lambda fut: fut.wait() + z 2025-07-17T07:12:16.2530449Z >>> ) 2025-07-17T07:12:16.2530527Z >>> 2025-07-17T07:12:16.2530616Z >>> # On worker0 2025-07-17T07:12:16.2530720Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2530815Z >>> ret = rpc.rpc_sync( 2025-07-17T07:12:16.2530901Z >>> "worker1", 2025-07-17T07:12:16.2531007Z >>> async_add_chained, 2025-07-17T07:12:16.2531126Z >>> args=("worker2", torch.ones(2), 1, 1) 2025-07-17T07:12:16.2531203Z >>> ) 2025-07-17T07:12:16.2531327Z >>> print(ret) # prints tensor([3., 3.]) 2025-07-17T07:12:16.2531406Z 2025-07-17T07:12:16.2531626Z When combined with TorchScript decorators, this decorator must be the 2025-07-17T07:12:16.2531726Z outmost one. 2025-07-17T07:12:16.2531804Z 2025-07-17T07:12:16.2531914Z >>> from torch import Tensor 2025-07-17T07:12:16.2532029Z >>> from torch.futures import Future 2025-07-17T07:12:16.2532146Z >>> from torch.distributed import rpc 2025-07-17T07:12:16.2532240Z >>> 2025-07-17T07:12:16.2532351Z >>> # omitting setup and shutdown RPC 2025-07-17T07:12:16.2532434Z >>> 2025-07-17T07:12:16.2532535Z >>> # On all workers 2025-07-17T07:12:16.2532629Z >>> @torch.jit.script 2025-07-17T07:12:16.2532768Z >>> def script_add(x: Tensor, y: Tensor) -> Tensor: 2025-07-17T07:12:16.2532870Z >>> return x + y 2025-07-17T07:12:16.2532948Z >>> 2025-07-17T07:12:16.2533061Z >>> @rpc.functions.async_execution 2025-07-17T07:12:16.2533167Z >>> @torch.jit.script 2025-07-17T07:12:16.2533346Z >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]: 2025-07-17T07:12:16.2533498Z >>> return rpc.rpc_async(to, script_add, (x, y)) 2025-07-17T07:12:16.2533574Z >>> 2025-07-17T07:12:16.2533661Z >>> # On worker0 2025-07-17T07:12:16.2533772Z >>> ret = rpc.rpc_sync( 2025-07-17T07:12:16.2533856Z >>> "worker1", 2025-07-17T07:12:16.2533940Z >>> async_add, 2025-07-17T07:12:16.2534068Z >>> args=("worker2", torch.ones(2), 1) 2025-07-17T07:12:16.2534151Z >>> ) 2025-07-17T07:12:16.2534294Z >>> print(ret) # prints tensor([2., 2.]) 2025-07-17T07:12:16.2534382Z 2025-07-17T07:12:16.2534598Z When combined with static or class method, this decorator must be the 2025-07-17T07:12:16.2534691Z inner one. 2025-07-17T07:12:16.2534766Z 2025-07-17T07:12:16.2534881Z >>> from torch.distributed import rpc 2025-07-17T07:12:16.2534969Z >>> 2025-07-17T07:12:16.2535080Z >>> # omitting setup and shutdown RPC 2025-07-17T07:12:16.2535159Z >>> 2025-07-17T07:12:16.2535265Z >>> # On all workers 2025-07-17T07:12:16.2535372Z >>> class AsyncExecutionClass: 2025-07-17T07:12:16.2535451Z >>> 2025-07-17T07:12:16.2535552Z >>> @staticmethod 2025-07-17T07:12:16.2535667Z >>> @rpc.functions.async_execution 2025-07-17T07:12:16.2535782Z >>> def static_async_add(to, x, y, z): 2025-07-17T07:12:16.2535959Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-07-17T07:12:16.2536103Z >>> lambda fut: fut.wait() + z 2025-07-17T07:12:16.2536197Z >>> ) 2025-07-17T07:12:16.2536276Z >>> 2025-07-17T07:12:16.2536366Z >>> @classmethod 2025-07-17T07:12:16.2536488Z >>> @rpc.functions.async_execution 2025-07-17T07:12:16.2536606Z >>> def class_async_add(cls, to, x, y, z): 2025-07-17T07:12:16.2536728Z >>> ret_fut = torch.futures.Future() 2025-07-17T07:12:16.2536886Z >>> rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-07-17T07:12:16.2537082Z >>> lambda fut: ret_fut.set_result(fut.wait() + z) 2025-07-17T07:12:16.2537165Z >>> ) 2025-07-17T07:12:16.2537274Z >>> return ret_fut 2025-07-17T07:12:16.2537353Z >>> 2025-07-17T07:12:16.2537465Z >>> @rpc.functions.async_execution 2025-07-17T07:12:16.2537598Z >>> def bound_async_add(self, to, x, y, z): 2025-07-17T07:12:16.2537763Z >>> return rpc.rpc_async(to, torch.add, args=(x, y)).then( 2025-07-17T07:12:16.2537884Z >>> lambda fut: fut.wait() + z 2025-07-17T07:12:16.2537967Z >>> ) 2025-07-17T07:12:16.2538045Z >>> 2025-07-17T07:12:16.2538141Z >>> # On worker0 2025-07-17T07:12:16.2538235Z >>> ret = rpc.rpc_sync( 2025-07-17T07:12:16.2538323Z >>> "worker1", 2025-07-17T07:12:16.2538465Z >>> AsyncExecutionClass.static_async_add, 2025-07-17T07:12:16.2538581Z >>> args=("worker2", torch.ones(2), 1, 2) 2025-07-17T07:12:16.2538664Z >>> ) 2025-07-17T07:12:16.2538791Z >>> print(ret) # prints tensor([4., 4.]) 2025-07-17T07:12:16.2538869Z >>> 2025-07-17T07:12:16.2538972Z >>> ret = rpc.rpc_sync( 2025-07-17T07:12:16.2539138Z >>> "worker1", 2025-07-17T07:12:16.2539274Z >>> AsyncExecutionClass.class_async_add, 2025-07-17T07:12:16.2539404Z >>> args=("worker2", torch.ones(2), 1, 2) 2025-07-17T07:12:16.2539488Z >>> ) 2025-07-17T07:12:16.2539608Z >>> print(ret) # prints tensor([4., 4.]) 2025-07-17T07:12:16.2539704Z 2025-07-17T07:12:16.2539865Z This decorator also works with RRef helpers, i.e., . 2025-07-17T07:12:16.2540011Z :meth:`torch.distributed.rpc.RRef.rpc_sync`, 2025-07-17T07:12:16.2540177Z :meth:`torch.distributed.rpc.RRef.rpc_async`, and 2025-07-17T07:12:16.2540319Z :meth:`torch.distributed.rpc.RRef.remote`. 2025-07-17T07:12:16.2540410Z 2025-07-17T07:12:16.2540535Z >>> from torch.distributed import rpc 2025-07-17T07:12:16.2540617Z >>> 2025-07-17T07:12:16.2540761Z >>> # reuse the AsyncExecutionClass class above 2025-07-17T07:12:16.2540911Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-07-17T07:12:16.2541117Z >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2) 2025-07-17T07:12:16.2541245Z >>> print(ret) # prints tensor([4., 4.]) 2025-07-17T07:12:16.2541326Z >>> 2025-07-17T07:12:16.2541511Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-07-17T07:12:16.2541751Z >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait() 2025-07-17T07:12:16.2541867Z >>> print(ret) # prints tensor([4., 4.]) 2025-07-17T07:12:16.2541956Z >>> 2025-07-17T07:12:16.2542101Z >>> rref = rpc.remote("worker1", AsyncExecutionClass) 2025-07-17T07:12:16.2542330Z >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here() 2025-07-17T07:12:16.2542459Z >>> print(ret) # prints tensor([4., 4.]) 2025-07-17T07:12:16.2542537Z 2025-07-17T07:12:16.2542784Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2542872Z 2025-07-17T07:12:16.2542966Z warnings.warn(msg) 2025-07-17T07:12:16.2543040Z 2025-07-17T07:12:16.2543263Z --- Parse Warning: 85 / 136 --- 2025-07-17T07:12:16.2544366Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/options.py line=113. 2025-07-17T07:12:16.2544643Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2544723Z 2025-07-17T07:12:16.2544923Z Set device mapping between each RPC caller and callee pair. This 2025-07-17T07:12:16.2545165Z function can be called multiple times to incrementally add 2025-07-17T07:12:16.2545278Z device placement configurations. 2025-07-17T07:12:16.2545353Z 2025-07-17T07:12:16.2545448Z Args: 2025-07-17T07:12:16.2545545Z to (str): Callee name. 2025-07-17T07:12:16.2545748Z device_map (Dict of int, str, or torch.device): Device placement 2025-07-17T07:12:16.2545926Z mappings from this worker to the callee. This map must be 2025-07-17T07:12:16.2546016Z invertible. 2025-07-17T07:12:16.2546113Z 2025-07-17T07:12:16.2546199Z Example: 2025-07-17T07:12:16.2546309Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:16.2546412Z >>> # both workers 2025-07-17T07:12:16.2546500Z >>> def add(x, y): 2025-07-17T07:12:16.2546630Z >>> print(x) # tensor([1., 1.], device='cuda:1') 2025-07-17T07:12:16.2546743Z >>> return x + y, (x + y).to(2) 2025-07-17T07:12:16.2546822Z >>> 2025-07-17T07:12:16.2546908Z >>> # on worker 0 2025-07-17T07:12:16.2547055Z >>> options = TensorPipeRpcBackendOptions( 2025-07-17T07:12:16.2547155Z >>> num_worker_threads=8, 2025-07-17T07:12:16.2547275Z >>> device_maps={"worker1": {0: 1}} 2025-07-17T07:12:16.2547401Z >>> # maps worker0's cuda:0 to worker1's cuda:1 2025-07-17T07:12:16.2547479Z >>> ) 2025-07-17T07:12:16.2547614Z >>> options.set_device_map("worker1", {1: 2}) 2025-07-17T07:12:16.2547741Z >>> # maps worker0's cuda:1 to worker1's cuda:2 2025-07-17T07:12:16.2547821Z >>> 2025-07-17T07:12:16.2547921Z >>> rpc.init_rpc( 2025-07-17T07:12:16.2548007Z >>> "worker0", 2025-07-17T07:12:16.2548091Z >>> rank=0, 2025-07-17T07:12:16.2548190Z >>> world_size=2, 2025-07-17T07:12:16.2548316Z >>> backend=rpc.BackendType.TENSORPIPE, 2025-07-17T07:12:16.2548422Z >>> rpc_backend_options=options 2025-07-17T07:12:16.2548512Z >>> ) 2025-07-17T07:12:16.2548590Z >>> 2025-07-17T07:12:16.2548698Z >>> x = torch.ones(2) 2025-07-17T07:12:16.2548854Z >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1)) 2025-07-17T07:12:16.2549033Z >>> # The first argument will be moved to cuda:1 on worker1. When 2025-07-17T07:12:16.2549225Z >>> # sending the return value back, it will follow the invert of 2025-07-17T07:12:16.2549394Z >>> # the device map, and hence will be moved back to cuda:0 and 2025-07-17T07:12:16.2549490Z >>> # cuda:1 on worker0 2025-07-17T07:12:16.2549680Z >>> print(rets[0]) # tensor([2., 2.], device='cuda:0') 2025-07-17T07:12:16.2549824Z >>> print(rets[1]) # tensor([2., 2.], device='cuda:1') 2025-07-17T07:12:16.2549913Z 2025-07-17T07:12:16.2550161Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2550237Z 2025-07-17T07:12:16.2550345Z warnings.warn(msg) 2025-07-17T07:12:16.2550422Z 2025-07-17T07:12:16.2550609Z --- Parse Warning: 86 / 136 --- 2025-07-17T07:12:16.2551724Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_server_process_global_profile in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19. 2025-07-17T07:12:16.2551983Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2552089Z 2025-07-17T07:12:16.2552300Z It has the same API as ``torch.autograd.profiler.profile`` class, 2025-07-17T07:12:16.2552573Z except that it enables profiling on all threads running RPC server request callbacks. 2025-07-17T07:12:16.2552663Z 2025-07-17T07:12:16.2552939Z Context manager that manages autograd profiler state and holds a summary of results. 2025-07-17T07:12:16.2553166Z Under the hood it just records events of functions being executed in C++ and 2025-07-17T07:12:16.2553451Z exposes those events to Python. You can wrap any code into it and it will 2025-07-17T07:12:16.2553577Z only report runtime of PyTorch functions. 2025-07-17T07:12:16.2553839Z Note: profiler is thread local and is automatically propagated into the async tasks 2025-07-17T07:12:16.2553929Z 2025-07-17T07:12:16.2554008Z Args: 2025-07-17T07:12:16.2554282Z enabled (bool, optional): Setting this to False makes this context manager a no-op. 2025-07-17T07:12:16.2554380Z Default: ``True``. 2025-07-17T07:12:16.2554461Z 2025-07-17T07:12:16.2554753Z use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API. 2025-07-17T07:12:16.2554948Z Adds approximately 4us of overhead to each tensor operation. 2025-07-17T07:12:16.2555043Z Default: ``False`` 2025-07-17T07:12:16.2555135Z 2025-07-17T07:12:16.2555360Z record_shapes (bool, optional): If shapes recording is set, information 2025-07-17T07:12:16.2555589Z about input dimensions will be collected. This allows one to see which 2025-07-17T07:12:16.2555810Z dimensions have been used under the hood and further group by them 2025-07-17T07:12:16.2556026Z using prof.key_averages(group_by_input_shape=True). Please note that 2025-07-17T07:12:16.2556263Z shape recording might skew your profiling data. It is recommended to 2025-07-17T07:12:16.2556497Z use separate runs with and without shape recording to validate the timing. 2025-07-17T07:12:16.2556725Z Most likely the skew will be negligible for bottom most events (in a case 2025-07-17T07:12:16.2556947Z of nested function calls). But for higher level functions the total 2025-07-17T07:12:16.2557148Z self cpu time might be artificially increased because of the shape 2025-07-17T07:12:16.2557253Z collection. 2025-07-17T07:12:16.2557333Z 2025-07-17T07:12:16.2557598Z profile_memory (bool, optional): Whether to report memory usage, default: ``False`` 2025-07-17T07:12:16.2557688Z 2025-07-17T07:12:16.2557781Z .. warning:: 2025-07-17T07:12:16.2557982Z Enabling memory profiling incurs additional profiler overhead 2025-07-17T07:12:16.2558074Z 2025-07-17T07:12:16.2558162Z .. warning:: 2025-07-17T07:12:16.2558449Z Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`), 2025-07-17T07:12:16.2558656Z one cannot use the profiler with ``use_cuda = True`` to benchmark 2025-07-17T07:12:16.2558920Z DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading, 2025-07-17T07:12:16.2559093Z please use ``use_cuda = False`` or ``num_workers = 0``. 2025-07-17T07:12:16.2559171Z 2025-07-17T07:12:16.2559256Z Example: 2025-07-17T07:12:16.2559362Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2559454Z >>> # On worker 0: 2025-07-17T07:12:16.2559545Z >>> import torch 2025-07-17T07:12:16.2559681Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:16.2559822Z >>> rpc.init_rpc("worker0", rank=0, world_size=2) 2025-07-17T07:12:16.2559945Z >>> x, y = torch.tensor(1), torch.tensor(2) 2025-07-17T07:12:16.2560075Z >>> outer_profile_rref = rpc.remote( 2025-07-17T07:12:16.2560236Z ... dst_worker_name, rpc._server_process_global_profile 2025-07-17T07:12:16.2560315Z ... ) 2025-07-17T07:12:16.2560451Z >>> outer_profile_rref.rpc_sync().__enter__() 2025-07-17T07:12:16.2560626Z >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y)) 2025-07-17T07:12:16.2560754Z >>> inner_profile_rref = rpc.remote( 2025-07-17T07:12:16.2560912Z ... dst_worker_name, rpc._server_process_global_profile 2025-07-17T07:12:16.2560995Z ... ) 2025-07-17T07:12:16.2561135Z >>> inner_profile_rref.rpc_sync().__enter__() 2025-07-17T07:12:16.2561278Z >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y)) 2025-07-17T07:12:16.2561446Z >>> inner_profile_rref.rpc_sync().__exit__(None, None, None) 2025-07-17T07:12:16.2561688Z >>> outer_profile_rref.rpc_sync().__exit__(None, None, None) 2025-07-17T07:12:16.2561842Z >>> print(inner_profile_rref.rpc_sync().key_averages()) 2025-07-17T07:12:16.2562087Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-07-17T07:12:16.2562395Z Name Self CPU total % Self CPU total CPU total % CPU total CPU time avg Number of Calls 2025-07-17T07:12:16.2562621Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-07-17T07:12:16.2562816Z sub 85.06% 76.275us 100.00% 89.667us 89.667us 1 2025-07-17T07:12:16.2563000Z empty 14.94% 13.392us 14.94% 13.392us 13.392us 1 2025-07-17T07:12:16.2563230Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-07-17T07:12:16.2563336Z Self CPU time total: 89.667us 2025-07-17T07:12:16.2563492Z >>> print(outer_profile_rref.rpc_sync().key_averages()) 2025-07-17T07:12:16.2563720Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-07-17T07:12:16.2564021Z Name Self CPU total % Self CPU total CPU total % CPU total CPU time avg Number of Calls 2025-07-17T07:12:16.2564243Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-07-17T07:12:16.2564426Z sub 35.65% 76.275us 41.91% 89.667us 89.667us 1 2025-07-17T07:12:16.2564605Z empty 12.67% 27.101us 12.67% 27.101us 13.551us 2 2025-07-17T07:12:16.2564788Z add 51.68% 110.550us 58.09% 124.259us 124.259us 1 2025-07-17T07:12:16.2565010Z --------- --------------- --------------- --------------- --------------- --------------- --------------- 2025-07-17T07:12:16.2565115Z Self CPU time total: 213.926us 2025-07-17T07:12:16.2565223Z >>> rpc.shutdown() 2025-07-17T07:12:16.2565301Z 2025-07-17T07:12:16.2565391Z >>> # On worker 1: 2025-07-17T07:12:16.2565529Z >>> import torch.distributed.rpc as rpc 2025-07-17T07:12:16.2565668Z >>> rpc.init_rpc("worker1", rank=1, world_size=2) 2025-07-17T07:12:16.2565862Z >>> # wait for worker 0 to finish work, and then shutdown. 2025-07-17T07:12:16.2565956Z >>> rpc.shutdown() 2025-07-17T07:12:16.2566037Z 2025-07-17T07:12:16.2566296Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2566374Z 2025-07-17T07:12:16.2566469Z warnings.warn(msg) 2025-07-17T07:12:16.2566560Z 2025-07-17T07:12:16.2566751Z --- Parse Warning: 87 / 136 --- 2025-07-17T07:12:16.2567759Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=local_map in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_func_map.py line=35. 2025-07-17T07:12:16.2568020Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2568128Z 2025-07-17T07:12:16.2568400Z :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s 2025-07-17T07:12:16.2568675Z to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting 2025-07-17T07:12:16.2568937Z the local components of :class:`DTensor`, call the function, and wrap the outputs to 2025-07-17T07:12:16.2569104Z :class:`DTensor` according to the ``out_placements``. 2025-07-17T07:12:16.2569181Z 2025-07-17T07:12:16.2569276Z Args: 2025-07-17T07:12:16.2569773Z func (Callable): the function to be applied on each local shard of 2025-07-17T07:12:16.2569872Z :class:`DTensor` s. 2025-07-17T07:12:16.2570111Z out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]): 2025-07-17T07:12:16.2570366Z the desired placements of the :class:`DTensor` s in ``func``'s flattened output. 2025-07-17T07:12:16.2570605Z If the flattened ``output`` is a single value, the ``out_placements`` should be 2025-07-17T07:12:16.2570859Z of type `PlacementType`. Otherwise if the flattened ``output`` has multiple 2025-07-17T07:12:16.2571107Z values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1 2025-07-17T07:12:16.2571240Z mapping to the flattened ``output``. 2025-07-17T07:12:16.2571444Z Besides, for :class:`Tensor` output, we use `PlacementType` as its 2025-07-17T07:12:16.2571717Z placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType` 2025-07-17T07:12:16.2571833Z should be `None`. 2025-07-17T07:12:16.2572067Z Note that the only exception is when no :class:`DTensor` argument is passed 2025-07-17T07:12:16.2572287Z in. In this case, even if `out_placements` is not `None`, the result function 2025-07-17T07:12:16.2572550Z should ignore the desired placements because the function is not running with 2025-07-17T07:12:16.2572646Z :class:`DTensor` s. 2025-07-17T07:12:16.2572824Z in_placements (Tuple[`PlacementType`, ...], optional): 2025-07-17T07:12:16.2573101Z the required placements of the :class:`DTensor` s in the flattened inputs of ``func``. 2025-07-17T07:12:16.2573330Z If ``in_placements`` is specified, :meth:`local_map` would examine whether the 2025-07-17T07:12:16.2573565Z placements of each :class:`DTensor` argument is the same as the required 2025-07-17T07:12:16.2573742Z placements or not. If the placements are not the same and 2025-07-17T07:12:16.2573988Z ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if 2025-07-17T07:12:16.2574239Z ``redistribute_inputs`` is ``True``, the argument will be first redistributed to 2025-07-17T07:12:16.2574493Z the required sharding placements before passing its local tensor to ``func``. 2025-07-17T07:12:16.2574723Z The only exception is when required placements are not ``None`` and the 2025-07-17T07:12:16.2574962Z argument is a :class:`torch.Tensor`. In this case, the placements examination 2025-07-17T07:12:16.2575211Z will be skipped and the argument will be directly passed to ``func``. 2025-07-17T07:12:16.2575439Z If ``in_placements`` is ``None``, no placements examination will be performed. 2025-07-17T07:12:16.2575530Z Default: None 2025-07-17T07:12:16.2575707Z in_grad_placements (Tuple[`PlacementType`, ...], optional): 2025-07-17T07:12:16.2575923Z the placements hint of the :class:`DTensor` s gradient corresponds 2025-07-17T07:12:16.2576128Z to the flattened input DTensor. This argument is the hint that user 2025-07-17T07:12:16.2576318Z can give to :meth:`to_local` in case the gradient layout of the 2025-07-17T07:12:16.2576529Z local tensor input does not match its :class:`DTensor` input layout. 2025-07-17T07:12:16.2576723Z If not specified, we will assume the gradient layout of the local 2025-07-17T07:12:16.2576982Z tensor input remains the same as the original :class:`DTensor` input 2025-07-17T07:12:16.2577144Z and use that for gradient computation. Default: None. 2025-07-17T07:12:16.2577290Z device_mesh (:class:`DeviceMesh`, optional): 2025-07-17T07:12:16.2577506Z the device mesh that the output :class:`DTensor` s are placed on. If not 2025-07-17T07:12:16.2577754Z specified, this will be inferred from the first input :class:`DTensor`'s device 2025-07-17T07:12:16.2577911Z mesh. Default: None. 2025-07-17T07:12:16.2577989Z 2025-07-17T07:12:16.2578076Z Keyword Args: 2025-07-17T07:12:16.2578205Z redistribute_inputs (bool, optional): 2025-07-17T07:12:16.2578454Z the bool value indicating whether to reshard the input :class:`DTensor` s when 2025-07-17T07:12:16.2578697Z their placements are different from the required input placements. If this 2025-07-17T07:12:16.2578933Z value is ``False`` and some :class:`DTensor` input has a different placement, 2025-07-17T07:12:16.2579144Z an exception will be raised. Default: False. 2025-07-17T07:12:16.2579237Z 2025-07-17T07:12:16.2579320Z Returns: 2025-07-17T07:12:16.2579570Z A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor` 2025-07-17T07:12:16.2579820Z and returns a :class:`DTensor` constructed from the return value of ``func``. 2025-07-17T07:12:16.2579899Z 2025-07-17T07:12:16.2579978Z Raises: 2025-07-17T07:12:16.2580234Z AssertionError: For any non-DTensor output, we require its corresponding 2025-07-17T07:12:16.2580489Z output placement in ``out_placements`` be None. An AssertionError will be raised 2025-07-17T07:12:16.2580601Z if this is not the case. 2025-07-17T07:12:16.2580679Z 2025-07-17T07:12:16.2580936Z ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs 2025-07-17T07:12:16.2581099Z a redistribution according to ``in_placements``. 2025-07-17T07:12:16.2581177Z 2025-07-17T07:12:16.2581261Z Example: 2025-07-17T07:12:16.2581384Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:16.2581518Z >>> def mm_allreduce_forward(device_mesh, W, X): 2025-07-17T07:12:16.2581637Z >>> partial_sum_tensor = torch.mm(W, X) 2025-07-17T07:12:16.2581886Z >>> reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh) 2025-07-17T07:12:16.2581988Z >>> return reduced_tensor 2025-07-17T07:12:16.2582081Z >>> 2025-07-17T07:12:16.2582208Z >>> W = torch.randn(12, 8, requires_grad=False) 2025-07-17T07:12:16.2582327Z >>> X = torch.randn(8, 16, requires_grad=False) 2025-07-17T07:12:16.2582430Z >>> Y = torch.mm(W, X) 2025-07-17T07:12:16.2582613Z >>> row_wise = [Shard(0)] # row-wise sharding placements on 1-d mesh 2025-07-17T07:12:16.2582791Z >>> col_wise = [Shard(1)] # col-wise sharding placements on 1-d mesh 2025-07-17T07:12:16.2582921Z >>> 2025-07-17T07:12:16.2583193Z >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor convertion 2025-07-17T07:12:16.2583316Z >>> local_mm_allreduce_forward = local_map( 2025-07-17T07:12:16.2583431Z >>> mm_allreduce_forward, 2025-07-17T07:12:16.2583545Z >>> out_placements=[Replicate()], 2025-07-17T07:12:16.2583674Z >>> in_placements=[col_wise, row_wise], 2025-07-17T07:12:16.2583777Z >>> device_mesh=device_mesh, 2025-07-17T07:12:16.2583859Z >>> ) 2025-07-17T07:12:16.2583949Z >>> 2025-07-17T07:12:16.2584050Z >>> W_dt = distribute_tensor( 2025-07-17T07:12:16.2584153Z ... W, device_mesh, (col_wise) 2025-07-17T07:12:16.2584276Z ... ) # col-wisely sharded W tensor 2025-07-17T07:12:16.2584382Z >>> X_dt = distribute_tensor( 2025-07-17T07:12:16.2584483Z ... X, device_mesh, (row_wise) 2025-07-17T07:12:16.2584628Z ... ) # row-wisely sharded X tensor 2025-07-17T07:12:16.2584739Z >>> Y_dt = local_mm_allreduce_forward( 2025-07-17T07:12:16.2584848Z ... device_mesh, W_dt, X_dt 2025-07-17T07:12:16.2584991Z ... ) # apply local_mm_allreduce_forward to DTensors 2025-07-17T07:12:16.2585068Z 2025-07-17T07:12:16.2585273Z .. note:: This API is currently experimental and subject to change 2025-07-17T07:12:16.2585351Z 2025-07-17T07:12:16.2585600Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2585737Z 2025-07-17T07:12:16.2585834Z warnings.warn(msg) 2025-07-17T07:12:16.2585911Z 2025-07-17T07:12:16.2586137Z --- Parse Warning: 88 / 136 --- 2025-07-17T07:12:16.2587219Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_sharding in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=25. 2025-07-17T07:12:16.2587499Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2587577Z 2025-07-17T07:12:16.2587864Z :meth:`register_sharding` is an experimental API that allows users to register sharding 2025-07-17T07:12:16.2588113Z strategies for an operator when the tensor inputs and outputs are DTensor. 2025-07-17T07:12:16.2588362Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``, 2025-07-17T07:12:16.2588604Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2) 2025-07-17T07:12:16.2588893Z when users would like to overwrite default sharding strategies of existing operators. 2025-07-17T07:12:16.2588973Z 2025-07-17T07:12:16.2589070Z Args: 2025-07-17T07:12:16.2589200Z op (Union[OpOverload, List[OpOverload]]): 2025-07-17T07:12:16.2589390Z An op or a list of ops to register the customized sharding function. 2025-07-17T07:12:16.2589485Z 2025-07-17T07:12:16.2589569Z Returns: 2025-07-17T07:12:16.2589835Z A function decorator which can be used to wrap a function that defines the sharding 2025-07-17T07:12:16.2590125Z strategy for the operator specified in ``op``. The defined sharding strategy will be 2025-07-17T07:12:16.2590401Z registered to DTensor and will override the default sharding strategy if DTensor has 2025-07-17T07:12:16.2590716Z already implemented the operator. The customized sharding function takes the same inputs 2025-07-17T07:12:16.2590957Z as the original op (except that if an arg is a :class:`torch.Tensor`, it will be 2025-07-17T07:12:16.2591226Z replaced by a tensor-like object that DTensor uses internally). The function should 2025-07-17T07:12:16.2591511Z return a sequence of 2-tuples, each specifying acceptable output placements and its 2025-07-17T07:12:16.2591629Z corresponding intput placements. 2025-07-17T07:12:16.2591713Z 2025-07-17T07:12:16.2591846Z Example: 2025-07-17T07:12:16.2591962Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:16.2592098Z >>> @register_sharding(aten._softmax.default) 2025-07-17T07:12:16.2592267Z >>> def custom_softmax_sharding(x, dim, half_to_float): 2025-07-17T07:12:16.2592407Z >>> softmax_dim = dim if dim >= 0 else dim + x.ndim 2025-07-17T07:12:16.2592531Z >>> acceptable_shardings = [] 2025-07-17T07:12:16.2592612Z >>> 2025-07-17T07:12:16.2592786Z >>> all_replicate = ([Replicate()], [Replicate(), None, None]) 2025-07-17T07:12:16.2592942Z >>> acceptable_shardings.append(all_replicate) 2025-07-17T07:12:16.2593024Z >>> 2025-07-17T07:12:16.2593142Z >>> for sharding_dim in range(x.ndim): 2025-07-17T07:12:16.2593266Z >>> if sharding_dim != softmax_dim: 2025-07-17T07:12:16.2593362Z >>> all_sharded = ( 2025-07-17T07:12:16.2593509Z >>> [Shard(sharding_dim)], 2025-07-17T07:12:16.2593647Z >>> [Shard(sharding_dim), None, None], 2025-07-17T07:12:16.2593735Z >>> ) 2025-07-17T07:12:16.2593884Z >>> acceptable_shardings.append(all_sharded) 2025-07-17T07:12:16.2593962Z >>> 2025-07-17T07:12:16.2594073Z >>> return acceptable_shardings 2025-07-17T07:12:16.2594163Z 2025-07-17T07:12:16.2594357Z .. note:: This API is currently experimental and subject to change 2025-07-17T07:12:16.2594434Z 2025-07-17T07:12:16.2594742Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2595468Z 2025-07-17T07:12:16.2595574Z warnings.warn(msg) 2025-07-17T07:12:16.2595650Z 2025-07-17T07:12:16.2595839Z --- Parse Warning: 89 / 136 --- 2025-07-17T07:12:16.2596874Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=428. 2025-07-17T07:12:16.2597137Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2597215Z 2025-07-17T07:12:16.2597609Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to 2025-07-17T07:12:16.2597926Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``. 2025-07-17T07:12:16.2598015Z 2025-07-17T07:12:16.2598104Z Keyword Args: 2025-07-17T07:12:16.2598302Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-07-17T07:12:16.2598635Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2025-07-17T07:12:16.2598987Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2025-07-17T07:12:16.2599109Z as a placeholder. default: None. 2025-07-17T07:12:16.2599347Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-07-17T07:12:16.2599720Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-07-17T07:12:16.2600121Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2025-07-17T07:12:16.2600252Z input_kwarg_layouts (Dict[str, Placement]): 2025-07-17T07:12:16.2600625Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2025-07-17T07:12:16.2600732Z default: None 2025-07-17T07:12:16.2600892Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2025-07-17T07:12:16.2601274Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-07-17T07:12:16.2601453Z have the desired DTensor layouts. default: None. 2025-07-17T07:12:16.2601567Z use_local_output (bool, optional): 2025-07-17T07:12:16.2601934Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2025-07-17T07:12:16.2602017Z Returns: 2025-07-17T07:12:16.2602331Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs. 2025-07-17T07:12:16.2602421Z 2025-07-17T07:12:16.2602510Z Example:: 2025-07-17T07:12:16.2602617Z >>> # xdoctest: +SKIP(failing) 2025-07-17T07:12:16.2602940Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput 2025-07-17T07:12:16.2603128Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-07-17T07:12:16.2603219Z >>> ... 2025-07-17T07:12:16.2603521Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-07-17T07:12:16.2603678Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-07-17T07:12:16.2603768Z >>> 2025-07-17T07:12:16.2604099Z >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor 2025-07-17T07:12:16.2604245Z >>> # and then redistributed to Replicated DTensor. 2025-07-17T07:12:16.2604356Z >>> parallelize_module( 2025-07-17T07:12:16.2604489Z >>> block, # this can be a submodule or module 2025-07-17T07:12:16.2604586Z >>> tp_mesh, 2025-07-17T07:12:16.2604733Z >>> parallelize_plan={ 2025-07-17T07:12:16.2604854Z >>> "attn": PrepareModuleInput( 2025-07-17T07:12:16.2604998Z >>> input_layouts=(Shard(0), None, None, ...), 2025-07-17T07:12:16.2605168Z >>> desired_input_layouts=(Replicate(), None, None, ...) 2025-07-17T07:12:16.2605252Z >>> ), 2025-07-17T07:12:16.2605347Z >>> } 2025-07-17T07:12:16.2605430Z >>> ) 2025-07-17T07:12:16.2605508Z 2025-07-17T07:12:16.2605767Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2605845Z 2025-07-17T07:12:16.2605940Z warnings.warn(msg) 2025-07-17T07:12:16.2606030Z 2025-07-17T07:12:16.2606216Z --- Parse Warning: 90 / 136 --- 2025-07-17T07:12:16.2607256Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleOutput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=597. 2025-07-17T07:12:16.2607518Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2607594Z 2025-07-17T07:12:16.2607995Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to 2025-07-17T07:12:16.2608326Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``. 2025-07-17T07:12:16.2608416Z 2025-07-17T07:12:16.2608502Z Keyword Args: 2025-07-17T07:12:16.2608666Z output_layouts (Union[Placement, Tuple[Placement]]): 2025-07-17T07:12:16.2609013Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2025-07-17T07:12:16.2609390Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2025-07-17T07:12:16.2609535Z ``None`` need to be specified as a placeholder. 2025-07-17T07:12:16.2609743Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2025-07-17T07:12:16.2610130Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2025-07-17T07:12:16.2610257Z have the desired DTensor layouts. 2025-07-17T07:12:16.2610370Z use_local_output (bool, optional): 2025-07-17T07:12:16.2610757Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2025-07-17T07:12:16.2610851Z Returns: 2025-07-17T07:12:16.2611140Z A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs. 2025-07-17T07:12:16.2611217Z 2025-07-17T07:12:16.2611312Z Example:: 2025-07-17T07:12:16.2611415Z >>> # xdoctest: +SKIP(failing) 2025-07-17T07:12:16.2611729Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput 2025-07-17T07:12:16.2611928Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-07-17T07:12:16.2612009Z >>> ... 2025-07-17T07:12:16.2612318Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-07-17T07:12:16.2612442Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-07-17T07:12:16.2612547Z >>> 2025-07-17T07:12:16.2612956Z >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor 2025-07-17T07:12:16.2613094Z >>> # and then redistributed to Sharded DTensor. 2025-07-17T07:12:16.2613194Z >>> parallelize_module( 2025-07-17T07:12:16.2613336Z >>> block, # this can be a submodule or module 2025-07-17T07:12:16.2613425Z >>> tp_mesh, 2025-07-17T07:12:16.2613572Z >>> parallelize_plan = PrepareModuleOutput( 2025-07-17T07:12:16.2613732Z >>> output_layouts=Replicate(), 2025-07-17T07:12:16.2613847Z >>> desired_output_layouts=Shard(0) 2025-07-17T07:12:16.2613938Z >>> ) 2025-07-17T07:12:16.2614015Z >>> ) 2025-07-17T07:12:16.2614091Z 2025-07-17T07:12:16.2614350Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2614428Z 2025-07-17T07:12:16.2614519Z warnings.warn(msg) 2025-07-17T07:12:16.2614609Z 2025-07-17T07:12:16.2614794Z --- Parse Warning: 91 / 136 --- 2025-07-17T07:12:16.2615855Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInputOutput in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributed/tensor/parallel/style.py line=705. 2025-07-17T07:12:16.2616113Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2616194Z 2025-07-17T07:12:16.2616641Z Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module 2025-07-17T07:12:16.2617056Z to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution 2025-07-17T07:12:16.2617440Z according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of 2025-07-17T07:12:16.2617647Z :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`. 2025-07-17T07:12:16.2617727Z 2025-07-17T07:12:16.2617824Z Keyword Args: 2025-07-17T07:12:16.2618021Z input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-07-17T07:12:16.2618349Z The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to 2025-07-17T07:12:16.2618709Z DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified 2025-07-17T07:12:16.2618827Z as a placeholder. default: None. 2025-07-17T07:12:16.2619145Z desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]): 2025-07-17T07:12:16.2619524Z The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-07-17T07:12:16.2619912Z have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None. 2025-07-17T07:12:16.2620058Z input_kwarg_layouts (Dict[str, Placement]): 2025-07-17T07:12:16.2620465Z The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors. 2025-07-17T07:12:16.2620556Z default: None 2025-07-17T07:12:16.2620727Z desired_input_kwarg_layouts: (Dict[str, Placement]): 2025-07-17T07:12:16.2621091Z The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module 2025-07-17T07:12:16.2621253Z have the desired DTensor layouts. default: None. 2025-07-17T07:12:16.2621364Z use_local_input (bool, optional): 2025-07-17T07:12:16.2621717Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False. 2025-07-17T07:12:16.2621891Z output_layouts (Union[Placement, Tuple[Placement]]): 2025-07-17T07:12:16.2622222Z The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to 2025-07-17T07:12:16.2622635Z DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors, 2025-07-17T07:12:16.2622775Z ``None`` need to be specified as a placeholder. 2025-07-17T07:12:16.2622970Z desired_output_layouts (Union[Placement, Tuple[Placement]]): 2025-07-17T07:12:16.2623362Z The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module 2025-07-17T07:12:16.2623525Z have the desired DTensor layouts. 2025-07-17T07:12:16.2623638Z use_local_output (bool, optional): 2025-07-17T07:12:16.2624005Z Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True. 2025-07-17T07:12:16.2624088Z Returns: 2025-07-17T07:12:16.2624461Z A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs. 2025-07-17T07:12:16.2624543Z 2025-07-17T07:12:16.2624633Z Example:: 2025-07-17T07:12:16.2624750Z >>> # xdoctest: +SKIP(failing) 2025-07-17T07:12:16.2625086Z >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput 2025-07-17T07:12:16.2625275Z >>> from torch.distributed.device_mesh import init_device_mesh 2025-07-17T07:12:16.2625366Z >>> ... 2025-07-17T07:12:16.2625665Z >>> block = TransformerBlock(...) # block is a nn.Module that contains an "attn" Attention submodule 2025-07-17T07:12:16.2625796Z >>> tp_mesh = init_device_mesh("cuda", (8,)) 2025-07-17T07:12:16.2625888Z >>> 2025-07-17T07:12:16.2626218Z >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor 2025-07-17T07:12:16.2626586Z >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated 2025-07-17T07:12:16.2626796Z >>> # as Replicated DTensor and then redistributed to Sharded DTensor. 2025-07-17T07:12:16.2626899Z >>> parallelize_module( 2025-07-17T07:12:16.2627042Z >>> block, # this can be a submodule or module 2025-07-17T07:12:16.2627131Z >>> tp_mesh, 2025-07-17T07:12:16.2627233Z >>> parallelize_plan={ 2025-07-17T07:12:16.2627377Z >>> "attn": PrepareModuleInputOutput( 2025-07-17T07:12:16.2627511Z >>> input_layouts=(Shard(0), None, None, ...), 2025-07-17T07:12:16.2627694Z >>> desired_input_layouts=(Replicate(), None, None, ...), 2025-07-17T07:12:16.2627811Z >>> output_layouts=Replicate(), 2025-07-17T07:12:16.2627933Z >>> desired_output_layouts=Shard(0), 2025-07-17T07:12:16.2628031Z >>> ), 2025-07-17T07:12:16.2628113Z >>> } 2025-07-17T07:12:16.2628194Z >>> ) 2025-07-17T07:12:16.2628286Z 2025-07-17T07:12:16.2628538Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2628657Z 2025-07-17T07:12:16.2628765Z warnings.warn(msg) 2025-07-17T07:12:16.2628842Z 2025-07-17T07:12:16.2629037Z --- Parse Warning: 92 / 136 --- 2025-07-17T07:12:16.2630143Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LowRankMultivariateNormal in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56. 2025-07-17T07:12:16.2630407Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2630502Z 2025-07-17T07:12:16.2630806Z Creates a multivariate normal distribution with covariance matrix having a low-rank form 2025-07-17T07:12:16.2630992Z parameterized by :attr:`cov_factor` and :attr:`cov_diag`:: 2025-07-17T07:12:16.2631085Z 2025-07-17T07:12:16.2631261Z covariance_matrix = cov_factor @ cov_factor.T + cov_diag 2025-07-17T07:12:16.2631385Z 2025-07-17T07:12:16.2631468Z Example: 2025-07-17T07:12:16.2631609Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-07-17T07:12:16.2631758Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-07-17T07:12:16.2631878Z >>> m = LowRankMultivariateNormal( 2025-07-17T07:12:16.2632054Z ... torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2) 2025-07-17T07:12:16.2632152Z ... ) 2025-07-17T07:12:16.2632489Z >>> m.sample() # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]` 2025-07-17T07:12:16.2632586Z tensor([-0.2102, -0.5429]) 2025-07-17T07:12:16.2632677Z 2025-07-17T07:12:16.2632756Z Args: 2025-07-17T07:12:16.2633000Z loc (Tensor): mean of the distribution with shape `batch_shape + event_shape` 2025-07-17T07:12:16.2633253Z cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape 2025-07-17T07:12:16.2633371Z `batch_shape + event_shape + (rank,)` 2025-07-17T07:12:16.2633637Z cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape 2025-07-17T07:12:16.2633742Z `batch_shape + event_shape` 2025-07-17T07:12:16.2633818Z 2025-07-17T07:12:16.2633907Z Note: 2025-07-17T07:12:16.2634171Z The computation for determinant and inverse of covariance matrix is avoided when 2025-07-17T07:12:16.2634408Z `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity 2025-07-17T07:12:16.2634635Z `_ and 2025-07-17T07:12:16.2634924Z `matrix determinant lemma `_. 2025-07-17T07:12:16.2635178Z Thanks to these formulas, we just need to compute the determinant and inverse of 2025-07-17T07:12:16.2635298Z the small size "capacitance" matrix:: 2025-07-17T07:12:16.2635376Z 2025-07-17T07:12:16.2635566Z capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor 2025-07-17T07:12:16.2635644Z 2025-07-17T07:12:16.2635890Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2635975Z 2025-07-17T07:12:16.2636069Z warnings.warn(msg) 2025-07-17T07:12:16.2636156Z 2025-07-17T07:12:16.2636339Z --- Parse Warning: 93 / 136 --- 2025-07-17T07:12:16.2637342Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixtureSameFamily in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/mixture_same_family.py line=15. 2025-07-17T07:12:16.2637618Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2637695Z 2025-07-17T07:12:16.2637917Z The `MixtureSameFamily` distribution implements a (batch of) mixture 2025-07-17T07:12:16.2638174Z distribution where all component are from different parameterizations of 2025-07-17T07:12:16.2638422Z the same distribution type. It is parameterized by a `Categorical` 2025-07-17T07:12:16.2638627Z "selecting distribution" (over `k` component) and a component 2025-07-17T07:12:16.2638829Z distribution, i.e., a `Distribution` with a rightmost batch shape 2025-07-17T07:12:16.2638985Z (equal to `[k]`) which indexes each (batch of) component. 2025-07-17T07:12:16.2639075Z 2025-07-17T07:12:16.2639166Z Examples:: 2025-07-17T07:12:16.2639244Z 2025-07-17T07:12:16.2639379Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:16.2639582Z >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally 2025-07-17T07:12:16.2639694Z >>> # weighted normal distributions 2025-07-17T07:12:16.2639822Z >>> mix = D.Categorical(torch.ones(5,)) 2025-07-17T07:12:16.2639964Z >>> comp = D.Normal(torch.randn(5,), torch.rand(5,)) 2025-07-17T07:12:16.2640093Z >>> gmm = MixtureSameFamily(mix, comp) 2025-07-17T07:12:16.2640198Z 2025-07-17T07:12:16.2640397Z >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally 2025-07-17T07:12:16.2640534Z >>> # weighted bivariate normal distributions 2025-07-17T07:12:16.2640647Z >>> mix = D.Categorical(torch.ones(5,)) 2025-07-17T07:12:16.2640757Z >>> comp = D.Independent(D.Normal( 2025-07-17T07:12:16.2640892Z ... torch.randn(5,2), torch.rand(5,2)), 1) 2025-07-17T07:12:16.2641008Z >>> gmm = MixtureSameFamily(mix, comp) 2025-07-17T07:12:16.2641086Z 2025-07-17T07:12:16.2641325Z >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each 2025-07-17T07:12:16.2641523Z >>> # consisting of 5 random weighted bivariate normal distributions 2025-07-17T07:12:16.2641651Z >>> mix = D.Categorical(torch.rand(3,5)) 2025-07-17T07:12:16.2641760Z >>> comp = D.Independent(D.Normal( 2025-07-17T07:12:16.2641892Z ... torch.randn(3,5,2), torch.rand(3,5,2)), 1) 2025-07-17T07:12:16.2642024Z >>> gmm = MixtureSameFamily(mix, comp) 2025-07-17T07:12:16.2642105Z 2025-07-17T07:12:16.2642183Z Args: 2025-07-17T07:12:16.2642401Z mixture_distribution: `torch.distributions.Categorical`-like 2025-07-17T07:12:16.2642586Z instance. Manages the probability of selecting component. 2025-07-17T07:12:16.2642750Z The number of categories must match the rightmost batch 2025-07-17T07:12:16.2642949Z dimension of the `component_distribution`. Must have either 2025-07-17T07:12:16.2643089Z scalar `batch_shape` or `batch_shape` matching 2025-07-17T07:12:16.2643239Z `component_distribution.batch_shape[:-1]` 2025-07-17T07:12:16.2643456Z component_distribution: `torch.distributions.Distribution`-like 2025-07-17T07:12:16.2643630Z instance. Right-most batch dimension indexes component. 2025-07-17T07:12:16.2643725Z 2025-07-17T07:12:16.2643974Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2644053Z 2025-07-17T07:12:16.2644163Z warnings.warn(msg) 2025-07-17T07:12:16.2644240Z 2025-07-17T07:12:16.2644422Z --- Parse Warning: 94 / 136 --- 2025-07-17T07:12:16.2645414Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedBernoulli in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_bernoulli.py line=120. 2025-07-17T07:12:16.2645675Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2645764Z 2025-07-17T07:12:16.2645943Z Creates a RelaxedBernoulli distribution, parametrized by 2025-07-17T07:12:16.2646129Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits` 2025-07-17T07:12:16.2646351Z (but not both). This is a relaxed version of the `Bernoulli` distribution, 2025-07-17T07:12:16.2646529Z so the values are in (0, 1), and has reparametrizable samples. 2025-07-17T07:12:16.2646654Z 2025-07-17T07:12:16.2646740Z Example:: 2025-07-17T07:12:16.2646815Z 2025-07-17T07:12:16.2646962Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-07-17T07:12:16.2647091Z >>> m = RelaxedBernoulli(torch.tensor([2.2]), 2025-07-17T07:12:16.2647211Z ... torch.tensor([0.1, 0.2, 0.3, 0.99])) 2025-07-17T07:12:16.2647308Z >>> m.sample() 2025-07-17T07:12:16.2647422Z tensor([ 0.2951, 0.3442, 0.8918, 0.9021]) 2025-07-17T07:12:16.2647499Z 2025-07-17T07:12:16.2647592Z Args: 2025-07-17T07:12:16.2647730Z temperature (Tensor): relaxation temperature 2025-07-17T07:12:16.2647899Z probs (Number, Tensor): the probability of sampling `1` 2025-07-17T07:12:16.2648073Z logits (Number, Tensor): the log-odds of sampling `1` 2025-07-17T07:12:16.2648150Z 2025-07-17T07:12:16.2648413Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2648546Z 2025-07-17T07:12:16.2648641Z warnings.warn(msg) 2025-07-17T07:12:16.2648732Z 2025-07-17T07:12:16.2648913Z --- Parse Warning: 95 / 136 --- 2025-07-17T07:12:16.2649960Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedOneHotCategorical in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/distributions/relaxed_categorical.py line=109. 2025-07-17T07:12:16.2650232Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2650357Z 2025-07-17T07:12:16.2650582Z Creates a RelaxedOneHotCategorical distribution parametrized by 2025-07-17T07:12:16.2650771Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`. 2025-07-17T07:12:16.2651008Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so 2025-07-17T07:12:16.2651184Z its samples are on simplex, and are reparametrizable. 2025-07-17T07:12:16.2651263Z 2025-07-17T07:12:16.2651349Z Example:: 2025-07-17T07:12:16.2651438Z 2025-07-17T07:12:16.2651572Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-07-17T07:12:16.2651725Z >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]), 2025-07-17T07:12:16.2651860Z ... torch.tensor([0.1, 0.2, 0.3, 0.4])) 2025-07-17T07:12:16.2651945Z >>> m.sample() 2025-07-17T07:12:16.2652068Z tensor([ 0.1294, 0.2324, 0.3859, 0.2523]) 2025-07-17T07:12:16.2652146Z 2025-07-17T07:12:16.2652225Z Args: 2025-07-17T07:12:16.2652377Z temperature (Tensor): relaxation temperature 2025-07-17T07:12:16.2652491Z probs (Tensor): event probabilities 2025-07-17T07:12:16.2652673Z logits (Tensor): unnormalized log probability for each event 2025-07-17T07:12:16.2652765Z 2025-07-17T07:12:16.2653015Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2653094Z 2025-07-17T07:12:16.2653202Z warnings.warn(msg) 2025-07-17T07:12:16.2653281Z 2025-07-17T07:12:16.2653465Z --- Parse Warning: 96 / 136 --- 2025-07-17T07:12:16.2654490Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assoc_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=245. 2025-07-17T07:12:16.2654755Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2654961Z Return a new dict with new, potentially nested, key value pair 2025-07-17T07:12:16.2655039Z 2025-07-17T07:12:16.2655134Z >>> purchase = { 2025-07-17T07:12:16.2655242Z ... "name": "Alice", 2025-07-17T07:12:16.2655413Z ... "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-07-17T07:12:16.2655541Z ... "credit card": "5555-1234-1234-1234", 2025-07-17T07:12:16.2655622Z ... } 2025-07-17T07:12:16.2655858Z >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00]) # doctest: +SKIP 2025-07-17T07:12:16.2655975Z {'credit card': '5555-1234-1234-1234', 2025-07-17T07:12:16.2656065Z 'name': 'Alice', 2025-07-17T07:12:16.2656225Z 'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}} 2025-07-17T07:12:16.2656319Z 2025-07-17T07:12:16.2656566Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2656643Z 2025-07-17T07:12:16.2656753Z warnings.warn(msg) 2025-07-17T07:12:16.2656830Z 2025-07-17T07:12:16.2657007Z --- Parse Warning: 97 / 136 --- 2025-07-17T07:12:16.2658033Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=update_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=261. 2025-07-17T07:12:16.2658319Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2658489Z Update value in a (potentially) nested dictionary 2025-07-17T07:12:16.2658567Z 2025-07-17T07:12:16.2658649Z inputs: 2025-07-17T07:12:16.2658777Z d - dictionary on which to operate 2025-07-17T07:12:16.2658990Z keys - list or tuple giving the location of the value to be changed in d 2025-07-17T07:12:16.2659184Z func - function to operate on that value 2025-07-17T07:12:16.2659284Z 2025-07-17T07:12:16.2659548Z If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the 2025-07-17T07:12:16.2659793Z original dictionary with v replaced by func(v), but does not mutate the 2025-07-17T07:12:16.2659895Z original dictionary. 2025-07-17T07:12:16.2659975Z 2025-07-17T07:12:16.2660192Z If k0 is not a key in d, update_in creates nested dictionaries to the depth 2025-07-17T07:12:16.2660405Z specified by the keys, with the innermost value set to func(default). 2025-07-17T07:12:16.2660487Z 2025-07-17T07:12:16.2660600Z >>> inc = lambda x: x + 1 2025-07-17T07:12:16.2660707Z >>> update_in({"a": 0}, ["a"], inc) 2025-07-17T07:12:16.2660789Z {'a': 1} 2025-07-17T07:12:16.2660882Z 2025-07-17T07:12:16.2660978Z >>> transaction = { 2025-07-17T07:12:16.2661085Z ... "name": "Alice", 2025-07-17T07:12:16.2661281Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-07-17T07:12:16.2661401Z ... "credit card": "5555-1234-1234-1234", 2025-07-17T07:12:16.2661495Z ... } 2025-07-17T07:12:16.2661708Z >>> update_in(transaction, ["purchase", "costs"], sum) # doctest: +SKIP 2025-07-17T07:12:16.2661816Z {'credit card': '5555-1234-1234-1234', 2025-07-17T07:12:16.2661921Z 'name': 'Alice', 2025-07-17T07:12:16.2662086Z 'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}} 2025-07-17T07:12:16.2662167Z 2025-07-17T07:12:16.2662301Z >>> # updating a value when k0 is not in d 2025-07-17T07:12:16.2662432Z >>> update_in({}, [1, 2, 3], str, default="bar") 2025-07-17T07:12:16.2662535Z {1: {2: {3: 'bar'}}} 2025-07-17T07:12:16.2662647Z >>> update_in({1: "foo"}, [2, 3, 4], inc, 0) 2025-07-17T07:12:16.2662738Z {1: 'foo', 2: {3: {4: 1}}} 2025-07-17T07:12:16.2662836Z 2025-07-17T07:12:16.2663085Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2663164Z 2025-07-17T07:12:16.2663275Z warnings.warn(msg) 2025-07-17T07:12:16.2663352Z 2025-07-17T07:12:16.2663540Z --- Parse Warning: 98 / 136 --- 2025-07-17T07:12:16.2664552Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_in in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=320. 2025-07-17T07:12:16.2664812Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2665019Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys. 2025-07-17T07:12:16.2665095Z 2025-07-17T07:12:16.2665272Z If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless 2025-07-17T07:12:16.2665482Z ``no_default`` is specified, then it raises KeyError or IndexError. 2025-07-17T07:12:16.2665559Z 2025-07-17T07:12:16.2665761Z ``get_in`` is a generalization of ``operator.getitem`` for nested data 2025-07-17T07:12:16.2665907Z structures such as dictionaries and lists. 2025-07-17T07:12:16.2665983Z 2025-07-17T07:12:16.2666088Z >>> transaction = { 2025-07-17T07:12:16.2666178Z ... "name": "Alice", 2025-07-17T07:12:16.2666361Z ... "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]}, 2025-07-17T07:12:16.2666489Z ... "credit card": "5555-1234-1234-1234", 2025-07-17T07:12:16.2666595Z ... } 2025-07-17T07:12:16.2666730Z >>> get_in(["purchase", "items", 0], transaction) 2025-07-17T07:12:16.2666824Z 'Apple' 2025-07-17T07:12:16.2666927Z >>> get_in(["name"], transaction) 2025-07-17T07:12:16.2667011Z 'Alice' 2025-07-17T07:12:16.2667148Z >>> get_in(["purchase", "total"], transaction) 2025-07-17T07:12:16.2667294Z >>> get_in(["purchase", "items", "apple"], transaction) 2025-07-17T07:12:16.2667436Z >>> get_in(["purchase", "items", 10], transaction) 2025-07-17T07:12:16.2667613Z >>> get_in(["purchase", "total"], transaction, 0) 2025-07-17T07:12:16.2667691Z 0 2025-07-17T07:12:16.2667809Z >>> get_in(["y"], {}, no_default=True) 2025-07-17T07:12:16.2667921Z Traceback (most recent call last): 2025-07-17T07:12:16.2668002Z ... 2025-07-17T07:12:16.2668123Z KeyError: 'y' 2025-07-17T07:12:16.2668205Z 2025-07-17T07:12:16.2668288Z See Also: 2025-07-17T07:12:16.2668395Z itertoolz.get 2025-07-17T07:12:16.2668492Z operator.getitem 2025-07-17T07:12:16.2668572Z 2025-07-17T07:12:16.2668835Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2668915Z 2025-07-17T07:12:16.2669009Z warnings.warn(msg) 2025-07-17T07:12:16.2669099Z 2025-07-17T07:12:16.2669278Z --- Parse Warning: 99 / 136 --- 2025-07-17T07:12:16.2670534Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=groupby in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/unification/unification_tools.py line=373. 2025-07-17T07:12:16.2670793Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2670905Z Group a collection by a key function 2025-07-17T07:12:16.2670997Z 2025-07-17T07:12:16.2671157Z >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"] 2025-07-17T07:12:16.2671279Z >>> groupby(len, names) # doctest: +SKIP 2025-07-17T07:12:16.2671451Z {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']} 2025-07-17T07:12:16.2671529Z 2025-07-17T07:12:16.2671647Z >>> iseven = lambda x: x % 2 == 0 2025-07-17T07:12:16.2671810Z >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8]) # doctest: +SKIP 2025-07-17T07:12:16.2671917Z {False: [1, 3, 5, 7], True: [2, 4, 6, 8]} 2025-07-17T07:12:16.2672006Z 2025-07-17T07:12:16.2672145Z Non-callable keys imply grouping on a member. 2025-07-17T07:12:16.2672227Z 2025-07-17T07:12:16.2672322Z >>> groupby( 2025-07-17T07:12:16.2672408Z ... "gender", 2025-07-17T07:12:16.2672488Z ... [ 2025-07-17T07:12:16.2672619Z ... {"name": "Alice", "gender": "F"}, 2025-07-17T07:12:16.2672734Z ... {"name": "Bob", "gender": "M"}, 2025-07-17T07:12:16.2672864Z ... {"name": "Charlie", "gender": "M"}, 2025-07-17T07:12:16.2672951Z ... ], 2025-07-17T07:12:16.2673123Z ... ) # doctest:+SKIP 2025-07-17T07:12:16.2673251Z {'F': [{'gender': 'F', 'name': 'Alice'}], 2025-07-17T07:12:16.2673360Z 'M': [{'gender': 'M', 'name': 'Bob'}, 2025-07-17T07:12:16.2673471Z {'gender': 'M', 'name': 'Charlie'}]} 2025-07-17T07:12:16.2673565Z 2025-07-17T07:12:16.2673704Z Not to be confused with ``itertools.groupby`` 2025-07-17T07:12:16.2673782Z 2025-07-17T07:12:16.2673880Z See Also: 2025-07-17T07:12:16.2673963Z countby 2025-07-17T07:12:16.2674046Z 2025-07-17T07:12:16.2674312Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2674390Z 2025-07-17T07:12:16.2674500Z warnings.warn(msg) 2025-07-17T07:12:16.2674577Z 2025-07-17T07:12:16.2674767Z --- Parse Warning: 100 / 136 --- 2025-07-17T07:12:16.2675617Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=calculate_gain in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/init.py line=142. 2025-07-17T07:12:16.2675918Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2676145Z Return the recommended gain value for the given nonlinearity function. 2025-07-17T07:12:16.2676236Z 2025-07-17T07:12:16.2676337Z The values are as follows: 2025-07-17T07:12:16.2676426Z 2025-07-17T07:12:16.2676606Z ================= ==================================================== 2025-07-17T07:12:16.2676709Z nonlinearity gain 2025-07-17T07:12:16.2676830Z ================= ==================================================== 2025-07-17T07:12:16.2676931Z Linear / Identity :math:`1` 2025-07-17T07:12:16.2677025Z Conv{1,2,3}D :math:`1` 2025-07-17T07:12:16.2677127Z Sigmoid :math:`1` 2025-07-17T07:12:16.2677236Z Tanh :math:`\frac{5}{3}` 2025-07-17T07:12:16.2677337Z ReLU :math:`\sqrt{2}` 2025-07-17T07:12:16.2677539Z Leaky Relu :math:`\sqrt{\frac{2}{1 + \text{negative\_slope}^2}}` 2025-07-17T07:12:16.2677643Z SELU :math:`\frac{3}{4}` 2025-07-17T07:12:16.2677765Z ================= ==================================================== 2025-07-17T07:12:16.2677842Z 2025-07-17T07:12:16.2677934Z .. warning:: 2025-07-17T07:12:16.2678126Z In order to implement `Self-Normalizing Neural Networks`_ , 2025-07-17T07:12:16.2678369Z you should use ``nonlinearity='linear'`` instead of ``nonlinearity='selu'``. 2025-07-17T07:12:16.2678537Z This gives the initial weights a variance of ``1 / N``, 2025-07-17T07:12:16.2678770Z which is necessary to induce a stable fixed point in the forward pass. 2025-07-17T07:12:16.2678992Z In contrast, the default gain for ``SELU`` sacrifices the normalization 2025-07-17T07:12:16.2679186Z effect for more stable gradient flow in rectangular layers. 2025-07-17T07:12:16.2679264Z 2025-07-17T07:12:16.2679348Z Args: 2025-07-17T07:12:16.2679548Z nonlinearity: the non-linear function (`nn.functional` name) 2025-07-17T07:12:16.2679712Z param: optional parameter for the non-linear function 2025-07-17T07:12:16.2679789Z 2025-07-17T07:12:16.2679884Z Examples: 2025-07-17T07:12:16.2679995Z >>> gain = nn.init.calculate_gain( 2025-07-17T07:12:16.2680091Z ... "leaky_relu", 0.2 2025-07-17T07:12:16.2680229Z ... ) # leaky_relu with negative_slope=0.2 2025-07-17T07:12:16.2680307Z 2025-07-17T07:12:16.2680783Z .. _Self-Normalizing Neural Networks: https://papers.nips.cc/paper/2017/hash/5d44ee6f2c3f71b73125876103c8f6c4-Abstract.html 2025-07-17T07:12:16.2680872Z 2025-07-17T07:12:16.2681121Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2681214Z 2025-07-17T07:12:16.2681339Z warnings.warn(msg) 2025-07-17T07:12:16.2681415Z 2025-07-17T07:12:16.2681613Z --- Parse Warning: 101 / 136 --- 2025-07-17T07:12:16.2682519Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=601. 2025-07-17T07:12:16.2682778Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2682967Z Applies Batch Normalization over a N-Dimensional input. 2025-07-17T07:12:16.2683044Z 2025-07-17T07:12:16.2683398Z The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper 2025-07-17T07:12:16.2683624Z `Batch Normalization: Accelerating Deep Network Training by Reducing 2025-07-17T07:12:16.2683833Z Internal Covariate Shift `__ . 2025-07-17T07:12:16.2683956Z 2025-07-17T07:12:16.2684040Z .. math:: 2025-07-17T07:12:16.2684116Z 2025-07-17T07:12:16.2684338Z y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta 2025-07-17T07:12:16.2684415Z 2025-07-17T07:12:16.2684640Z The mean and standard-deviation are calculated per-dimension over all 2025-07-17T07:12:16.2684885Z mini-batches of the same process groups. :math:`\gamma` and :math:`\beta` 2025-07-17T07:12:16.2685172Z are learnable parameter vectors of size `C` (where `C` is the input size). 2025-07-17T07:12:16.2685360Z By default, the elements of :math:`\gamma` are sampled from 2025-07-17T07:12:16.2685556Z :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0. 2025-07-17T07:12:16.2685811Z The standard-deviation is calculated via the biased estimator, equivalent to 2025-07-17T07:12:16.2685940Z `torch.var(input, unbiased=False)`. 2025-07-17T07:12:16.2686017Z 2025-07-17T07:12:16.2686251Z Also by default, during training this layer keeps running estimates of its 2025-07-17T07:12:16.2692513Z computed mean and variance, which are then used for normalization during 2025-07-17T07:12:16.2692822Z evaluation. The running estimates are kept with a default :attr:`momentum` 2025-07-17T07:12:16.2692909Z of 0.1. 2025-07-17T07:12:16.2693002Z 2025-07-17T07:12:16.2693230Z If :attr:`track_running_stats` is set to ``False``, this layer then does not 2025-07-17T07:12:16.2693476Z keep running estimates, and batch statistics are instead used during 2025-07-17T07:12:16.2693577Z evaluation time as well. 2025-07-17T07:12:16.2693656Z 2025-07-17T07:12:16.2693761Z .. note:: 2025-07-17T07:12:16.2693983Z This :attr:`momentum` argument is different from one used in optimizer 2025-07-17T07:12:16.2694204Z classes and the conventional notion of momentum. Mathematically, the 2025-07-17T07:12:16.2694355Z update rule for running statistics here is 2025-07-17T07:12:16.2694625Z :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`, 2025-07-17T07:12:16.2694840Z where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the 2025-07-17T07:12:16.2694941Z new observed value. 2025-07-17T07:12:16.2695018Z 2025-07-17T07:12:16.2695333Z Because the Batch Normalization is done for each channel in the ``C`` dimension, computing 2025-07-17T07:12:16.2695588Z statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch 2025-07-17T07:12:16.2695762Z Normalization or Spatio-temporal Batch Normalization. 2025-07-17T07:12:16.2695855Z 2025-07-17T07:12:16.2696001Z Currently :class:`SyncBatchNorm` only supports 2025-07-17T07:12:16.2696279Z :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use 2025-07-17T07:12:16.2696500Z :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert 2025-07-17T07:12:16.2696793Z :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping 2025-07-17T07:12:16.2696905Z Network with DDP. 2025-07-17T07:12:16.2696985Z 2025-07-17T07:12:16.2697069Z Args: 2025-07-17T07:12:16.2697247Z num_features: :math:`C` from an expected input of size 2025-07-17T07:12:16.2697342Z :math:`(N, C, +)` 2025-07-17T07:12:16.2697529Z eps: a value added to the denominator for numerical stability. 2025-07-17T07:12:16.2697642Z Default: ``1e-5`` 2025-07-17T07:12:16.2697829Z momentum: the value used for the running_mean and running_var 2025-07-17T07:12:16.2698051Z computation. Can be set to ``None`` for cumulative moving average 2025-07-17T07:12:16.2698173Z (i.e. simple average). Default: 0.1 2025-07-17T07:12:16.2698371Z affine: a boolean value that when set to ``True``, this module has 2025-07-17T07:12:16.2698571Z learnable affine parameters. Default: ``True`` 2025-07-17T07:12:16.2698781Z track_running_stats: a boolean value that when set to ``True``, this 2025-07-17T07:12:16.2699009Z module tracks the running mean and variance, and when set to ``False``, 2025-07-17T07:12:16.2699337Z this module does not track such statistics, and initializes statistics 2025-07-17T07:12:16.2699536Z buffers :attr:`running_mean` and :attr:`running_var` as ``None``. 2025-07-17T07:12:16.2699850Z When these buffers are ``None``, this module always uses batch statistics. 2025-07-17T07:12:16.2699999Z in both training and eval modes. Default: ``True`` 2025-07-17T07:12:16.2700247Z process_group: synchronization of stats happen within each process group 2025-07-17T07:12:16.2700483Z individually. Default behavior is synchronization across the whole 2025-07-17T07:12:16.2700569Z world 2025-07-17T07:12:16.2700652Z 2025-07-17T07:12:16.2700749Z Shape: 2025-07-17T07:12:16.2700853Z - Input: :math:`(N, C, +)` 2025-07-17T07:12:16.2700995Z - Output: :math:`(N, C, +)` (same shape as input) 2025-07-17T07:12:16.2701085Z 2025-07-17T07:12:16.2701171Z .. note:: 2025-07-17T07:12:16.2701423Z Synchronization of batchnorm statistics occurs only while training, i.e. 2025-07-17T07:12:16.2701622Z synchronization is disabled when ``model.eval()`` is set or if 2025-07-17T07:12:16.2701749Z ``self.training`` is otherwise ``False``. 2025-07-17T07:12:16.2701839Z 2025-07-17T07:12:16.2701928Z Examples:: 2025-07-17T07:12:16.2702005Z 2025-07-17T07:12:16.2702112Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2702222Z >>> # With Learnable Parameters 2025-07-17T07:12:16.2702327Z >>> m = nn.SyncBatchNorm(100) 2025-07-17T07:12:16.2702463Z >>> # creating process group (optional) 2025-07-17T07:12:16.2702604Z >>> # ranks is a list of int identifying rank ids. 2025-07-17T07:12:16.2702715Z >>> ranks = list(range(8)) 2025-07-17T07:12:16.2702820Z >>> r1, r2 = ranks[:4], ranks[4:] 2025-07-17T07:12:16.2702966Z >>> # Note: every rank calls into new_group for every 2025-07-17T07:12:16.2703125Z >>> # process group created, even if that rank is not 2025-07-17T07:12:16.2703223Z >>> # part of the group. 2025-07-17T07:12:16.2703471Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2025-07-17T07:12:16.2703683Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2025-07-17T07:12:16.2703800Z >>> # Without Learnable Parameters 2025-07-17T07:12:16.2704018Z >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group) 2025-07-17T07:12:16.2704139Z >>> input = torch.randn(20, 100, 35, 45, 10) 2025-07-17T07:12:16.2704238Z >>> output = m(input) 2025-07-17T07:12:16.2704357Z 2025-07-17T07:12:16.2704472Z >>> # network is nn.BatchNorm layer 2025-07-17T07:12:16.2704747Z >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group) 2025-07-17T07:12:16.2704920Z >>> # only single gpu per process is currently supported 2025-07-17T07:12:16.2705132Z >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel( 2025-07-17T07:12:16.2705247Z >>> sync_bn_network, 2025-07-17T07:12:16.2705386Z >>> device_ids=[args.local_rank], 2025-07-17T07:12:16.2705516Z >>> output_device=args.local_rank) 2025-07-17T07:12:16.2705610Z 2025-07-17T07:12:16.2705860Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2705937Z 2025-07-17T07:12:16.2706073Z warnings.warn(msg) 2025-07-17T07:12:16.2706154Z 2025-07-17T07:12:16.2706401Z --- Parse Warning: 102 / 136 --- 2025-07-17T07:12:16.2707432Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/batchnorm.py line=825. 2025-07-17T07:12:16.2707696Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2708073Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers. 2025-07-17T07:12:16.2708153Z 2025-07-17T07:12:16.2708236Z Args: 2025-07-17T07:12:16.2708488Z module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers 2025-07-17T07:12:16.2708703Z process_group (optional): process group to scope synchronization, 2025-07-17T07:12:16.2708816Z default is the whole world 2025-07-17T07:12:16.2708908Z 2025-07-17T07:12:16.2708995Z Returns: 2025-07-17T07:12:16.2709256Z The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm` 2025-07-17T07:12:16.2709469Z layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer, 2025-07-17T07:12:16.2709677Z a new :class:`torch.nn.SyncBatchNorm` layer object will be returned 2025-07-17T07:12:16.2709779Z instead. 2025-07-17T07:12:16.2709859Z 2025-07-17T07:12:16.2709949Z Example:: 2025-07-17T07:12:16.2710043Z 2025-07-17T07:12:16.2710165Z >>> # Network with nn.BatchNorm layer 2025-07-17T07:12:16.2710303Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-07-17T07:12:16.2710434Z >>> module = torch.nn.Sequential( 2025-07-17T07:12:16.2710552Z >>> torch.nn.Linear(20, 100), 2025-07-17T07:12:16.2710687Z >>> torch.nn.BatchNorm1d(100), 2025-07-17T07:12:16.2710782Z >>> ).cuda() 2025-07-17T07:12:16.2710904Z >>> # creating process group (optional) 2025-07-17T07:12:16.2711056Z >>> # ranks is a list of int identifying rank ids. 2025-07-17T07:12:16.2711160Z >>> ranks = list(range(8)) 2025-07-17T07:12:16.2711265Z >>> r1, r2 = ranks[:4], ranks[4:] 2025-07-17T07:12:16.2711424Z >>> # Note: every rank calls into new_group for every 2025-07-17T07:12:16.2711577Z >>> # process group created, even if that rank is not 2025-07-17T07:12:16.2711675Z >>> # part of the group. 2025-07-17T07:12:16.2711807Z >>> # xdoctest: +SKIP("distributed") 2025-07-17T07:12:16.2712056Z >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]] 2025-07-17T07:12:16.2712271Z >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1] 2025-07-17T07:12:16.2712565Z >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group) 2025-07-17T07:12:16.2712670Z 2025-07-17T07:12:16.2712765Z 2025-07-17T07:12:16.2713016Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2713096Z 2025-07-17T07:12:16.2713204Z warnings.warn(msg) 2025-07-17T07:12:16.2713280Z 2025-07-17T07:12:16.2713474Z --- Parse Warning: 103 / 136 --- 2025-07-17T07:12:16.2714370Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Unflatten in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/flatten.py line=60. 2025-07-17T07:12:16.2714628Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2714720Z 2025-07-17T07:12:16.2715032Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`. 2025-07-17T07:12:16.2715142Z 2025-07-17T07:12:16.2715420Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can 2025-07-17T07:12:16.2715646Z be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively. 2025-07-17T07:12:16.2715736Z 2025-07-17T07:12:16.2716046Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be 2025-07-17T07:12:16.2716295Z a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input; a `NamedShape` 2025-07-17T07:12:16.2716520Z (tuple of `(name, size)` tuples) for `NamedTensor` input. 2025-07-17T07:12:16.2716597Z 2025-07-17T07:12:16.2716677Z Shape: 2025-07-17T07:12:16.2716899Z - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at 2025-07-17T07:12:16.2717141Z dimension :attr:`dim` and :math:`*` means any number of dimensions including none. 2025-07-17T07:12:16.2717368Z - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and 2025-07-17T07:12:16.2717492Z :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`. 2025-07-17T07:12:16.2717568Z 2025-07-17T07:12:16.2717661Z Args: 2025-07-17T07:12:16.2717804Z dim (Union[int, str]): Dimension to be unflattened 2025-07-17T07:12:16.2718148Z unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension 2025-07-17T07:12:16.2718237Z 2025-07-17T07:12:16.2718320Z Examples: 2025-07-17T07:12:16.2718432Z >>> input = torch.randn(2, 50) 2025-07-17T07:12:16.2718546Z >>> # With tuple of ints 2025-07-17T07:12:16.2718641Z >>> m = nn.Sequential( 2025-07-17T07:12:16.2718736Z >>> nn.Linear(50, 50), 2025-07-17T07:12:16.2718857Z >>> nn.Unflatten(1, (2, 5, 5)) 2025-07-17T07:12:16.2718938Z >>> ) 2025-07-17T07:12:16.2719045Z >>> output = m(input) 2025-07-17T07:12:16.2719141Z >>> output.size() 2025-07-17T07:12:16.2719239Z torch.Size([2, 2, 5, 5]) 2025-07-17T07:12:16.2719349Z >>> # With torch.Size 2025-07-17T07:12:16.2719443Z >>> m = nn.Sequential( 2025-07-17T07:12:16.2719537Z >>> nn.Linear(50, 50), 2025-07-17T07:12:16.2719676Z >>> nn.Unflatten(1, torch.Size([2, 5, 5])) 2025-07-17T07:12:16.2719756Z >>> ) 2025-07-17T07:12:16.2719850Z >>> output = m(input) 2025-07-17T07:12:16.2719956Z >>> output.size() 2025-07-17T07:12:16.2720052Z torch.Size([2, 2, 5, 5]) 2025-07-17T07:12:16.2720176Z >>> # With namedshape (tuple of tuples) 2025-07-17T07:12:16.2720341Z >>> input = torch.randn(2, 50, names=("N", "features")) 2025-07-17T07:12:16.2720541Z >>> unflatten = nn.Unflatten("features", (("C", 2), ("H", 5), ("W", 5))) 2025-07-17T07:12:16.2720661Z >>> output = unflatten(input) 2025-07-17T07:12:16.2720755Z >>> output.size() 2025-07-17T07:12:16.2720851Z torch.Size([2, 2, 5, 5]) 2025-07-17T07:12:16.2720940Z 2025-07-17T07:12:16.2721220Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2721297Z 2025-07-17T07:12:16.2721405Z warnings.warn(msg) 2025-07-17T07:12:16.2721485Z 2025-07-17T07:12:16.2721678Z --- Parse Warning: 104 / 136 --- 2025-07-17T07:12:16.2722688Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py line=1718. 2025-07-17T07:12:16.2722953Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2723160Z Creates a criterion that measures the triplet loss given input 2025-07-17T07:12:16.2723352Z tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor, 2025-07-17T07:12:16.2723563Z positive, and negative examples, respectively), and a nonnegative, 2025-07-17T07:12:16.2723856Z real-valued function ("distance function") used to compute the relationship 2025-07-17T07:12:16.2724075Z between the anchor and positive example ("positive distance") and the 2025-07-17T07:12:16.2724238Z anchor and negative example ("negative distance"). 2025-07-17T07:12:16.2724316Z 2025-07-17T07:12:16.2724519Z The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``) 2025-07-17T07:12:16.2724631Z can be described as: 2025-07-17T07:12:16.2724710Z 2025-07-17T07:12:16.2724844Z .. math:: 2025-07-17T07:12:16.2724995Z \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad 2025-07-17T07:12:16.2725145Z l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\} 2025-07-17T07:12:16.2725220Z 2025-07-17T07:12:16.2725479Z where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function 2025-07-17T07:12:16.2725767Z quantifying the closeness of two tensors, referred to as the :attr:`distance_function`; 2025-07-17T07:12:16.2726018Z and :math:`margin` is a nonnegative margin representing the minimum difference 2025-07-17T07:12:16.2726262Z between the positive and negative distances that is required for the loss to 2025-07-17T07:12:16.2726485Z be 0. The input tensors have :math:`N` elements each and can be of any shape 2025-07-17T07:12:16.2726620Z that the distance function can handle. 2025-07-17T07:12:16.2726702Z 2025-07-17T07:12:16.2726816Z If :attr:`reduction` is not ``'none'`` 2025-07-17T07:12:16.2726933Z (default ``'mean'``), then: 2025-07-17T07:12:16.2727011Z 2025-07-17T07:12:16.2727095Z .. math:: 2025-07-17T07:12:16.2727196Z \ell(x, y) = 2025-07-17T07:12:16.2727286Z \begin{cases} 2025-07-17T07:12:16.2727498Z \operatorname{mean}(L), & \text{if reduction} = \text{`mean';}\\ 2025-07-17T07:12:16.2727686Z \operatorname{sum}(L), & \text{if reduction} = \text{`sum'.} 2025-07-17T07:12:16.2727775Z \end{cases} 2025-07-17T07:12:16.2727867Z 2025-07-17T07:12:16.2728100Z See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet 2025-07-17T07:12:16.2728347Z loss for input tensors using the :math:`l_p` distance as the distance function. 2025-07-17T07:12:16.2728439Z 2025-07-17T07:12:16.2728528Z Args: 2025-07-17T07:12:16.2728801Z distance_function (Callable, optional): A nonnegative, real-valued function that 2025-07-17T07:12:16.2729003Z quantifies the closeness of two tensors. If not specified, 2025-07-17T07:12:16.2729169Z `nn.PairwiseDistance` will be used. Default: ``None`` 2025-07-17T07:12:16.2729435Z margin (float, optional): A nonnegative margin representing the minimum difference 2025-07-17T07:12:16.2729715Z between the positive and negative distances required for the loss to be 0. Larger 2025-07-17T07:12:16.2729994Z margins penalize cases where the negative examples are not distant enough from the 2025-07-17T07:12:16.2730206Z anchors, relative to the positives. Default: :math:`1`. 2025-07-17T07:12:16.2730450Z swap (bool, optional): Whether to use the distance swap described in the paper 2025-07-17T07:12:16.2730706Z `Learning shallow convolutional feature descriptors with triplet losses` by 2025-07-17T07:12:16.2730949Z V. Balntas, E. Riba et al. If True, and if the positive example is closer to the 2025-07-17T07:12:16.2731218Z negative example than the anchor is, swaps the positive example and the anchor in 2025-07-17T07:12:16.2731349Z the loss computation. Default: ``False``. 2025-07-17T07:12:16.2731636Z reduction (str, optional): Specifies the (optional) reduction to apply to the output: 2025-07-17T07:12:16.2731819Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2025-07-17T07:12:16.2732046Z ``'mean'``: the sum of the output will be divided by the number of 2025-07-17T07:12:16.2732283Z elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'`` 2025-07-17T07:12:16.2732360Z 2025-07-17T07:12:16.2732450Z 2025-07-17T07:12:16.2732533Z Shape: 2025-07-17T07:12:16.2732772Z - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions 2025-07-17T07:12:16.2732911Z as supported by the distance function. 2025-07-17T07:12:16.2733251Z - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar 2025-07-17T07:12:16.2733356Z otherwise. 2025-07-17T07:12:16.2733434Z 2025-07-17T07:12:16.2733518Z Examples: 2025-07-17T07:12:16.2733610Z 2025-07-17T07:12:16.2733713Z >>> # Initialize embeddings 2025-07-17T07:12:16.2733829Z >>> embedding = nn.Embedding(1000, 128) 2025-07-17T07:12:16.2733972Z >>> anchor_ids = torch.randint(0, 1000, (1,)) 2025-07-17T07:12:16.2734104Z >>> positive_ids = torch.randint(0, 1000, (1,)) 2025-07-17T07:12:16.2734228Z >>> negative_ids = torch.randint(0, 1000, (1,)) 2025-07-17T07:12:16.2734353Z >>> anchor = embedding(anchor_ids) 2025-07-17T07:12:16.2734470Z >>> positive = embedding(positive_ids) 2025-07-17T07:12:16.2734597Z >>> negative = embedding(negative_ids) 2025-07-17T07:12:16.2734677Z >>> 2025-07-17T07:12:16.2734783Z >>> # Built-in Distance Function 2025-07-17T07:12:16.2734890Z >>> triplet_loss = \ 2025-07-17T07:12:16.2735165Z >>> nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance()) 2025-07-17T07:12:16.2735315Z >>> output = triplet_loss(anchor, positive, negative) 2025-07-17T07:12:16.2735428Z >>> output.backward() 2025-07-17T07:12:16.2735507Z >>> 2025-07-17T07:12:16.2735609Z >>> # Custom Distance Function 2025-07-17T07:12:16.2735719Z >>> def l_infinity(x1, x2): 2025-07-17T07:12:16.2735872Z >>> return torch.max(torch.abs(x1 - x2), dim=1).values 2025-07-17T07:12:16.2735962Z >>> 2025-07-17T07:12:16.2736144Z >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time") 2025-07-17T07:12:16.2736239Z >>> triplet_loss = ( 2025-07-17T07:12:16.2736527Z >>> nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5)) 2025-07-17T07:12:16.2736675Z >>> output = triplet_loss(anchor, positive, negative) 2025-07-17T07:12:16.2736777Z >>> output.backward() 2025-07-17T07:12:16.2736867Z >>> 2025-07-17T07:12:16.2736983Z >>> # Custom Distance Function (Lambda) 2025-07-17T07:12:16.2737078Z >>> triplet_loss = ( 2025-07-17T07:12:16.2737218Z >>> nn.TripletMarginWithDistanceLoss( 2025-07-17T07:12:16.2737431Z >>> distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y))) 2025-07-17T07:12:16.2737596Z >>> output = triplet_loss(anchor, positive, negative) 2025-07-17T07:12:16.2737719Z >>> output.backward() 2025-07-17T07:12:16.2737796Z 2025-07-17T07:12:16.2737891Z Reference: 2025-07-17T07:12:16.2738189Z V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses: 2025-07-17T07:12:16.2738410Z https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html 2025-07-17T07:12:16.2738502Z 2025-07-17T07:12:16.2738753Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17)) 2025-07-17T07:12:16.2738833Z 2025-07-17T07:12:16.2738938Z warnings.warn(msg) 2025-07-17T07:12:16.2739016Z 2025-07-17T07:12:16.2739311Z --- Parse Warning: 105 / 136 --- 2025-07-17T07:12:16.2740186Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CTCLoss in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/loss.py line=1852. 2025-07-17T07:12:16.2740485Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2740646Z The Connectionist Temporal Classification loss. 2025-07-17T07:12:16.2740722Z 2025-07-17T07:12:16.2741100Z Calculates loss between a continuous (unsegmented) time series and a target sequence. CTCLoss sums over the 2025-07-17T07:12:16.2741460Z probability of possible alignments of input to target, producing a loss value which is differentiable 2025-07-17T07:12:16.2741851Z with respect to each input node. The alignment of input to target is assumed to be "many-to-one", which 2025-07-17T07:12:16.2742155Z limits the length of the target sequence such that it must be :math:`\leq` the input length. 2025-07-17T07:12:16.2742233Z 2025-07-17T07:12:16.2742313Z Args: 2025-07-17T07:12:16.2742485Z blank (int, optional): blank label. Default :math:`0`. 2025-07-17T07:12:16.2742724Z reduction (str, optional): Specifies the reduction to apply to the output: 2025-07-17T07:12:16.2742906Z ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied, 2025-07-17T07:12:16.2743119Z ``'mean'``: the output losses will be divided by the target lengths and 2025-07-17T07:12:16.2743362Z then the mean over the batch is taken, ``'sum'``: the output losses will be summed. 2025-07-17T07:12:16.2743470Z Default: ``'mean'`` 2025-07-17T07:12:16.2743581Z zero_infinity (bool, optional): 2025-07-17T07:12:16.2743776Z Whether to zero infinite losses and the associated gradients. 2025-07-17T07:12:16.2743890Z Default: ``False`` 2025-07-17T07:12:16.2744073Z Infinite losses mainly occur when the inputs are too short 2025-07-17T07:12:16.2744183Z to be aligned to the targets. 2025-07-17T07:12:16.2744276Z 2025-07-17T07:12:16.2744358Z Shape: 2025-07-17T07:12:16.2744560Z - Log_probs: Tensor of size :math:`(T, N, C)` or :math:`(T, C)`, 2025-07-17T07:12:16.2744684Z where :math:`T = \text{input length}`, 2025-07-17T07:12:16.2744795Z :math:`N = \text{batch size}`, and 2025-07-17T07:12:16.2744964Z :math:`C = \text{number of classes (including blank)}`. 2025-07-17T07:12:16.2745188Z The logarithmized probabilities of the outputs (e.g. obtained with 2025-07-17T07:12:16.2745320Z :func:`torch.nn.functional.log_softmax`). 2025-07-17T07:12:16.2745460Z - Targets: Tensor of size :math:`(N, S)` or 2025-07-17T07:12:16.2745616Z :math:`(\operatorname{sum}(\text{target\_lengths}))`, 2025-07-17T07:12:16.2745738Z where :math:`N = \text{batch size}` and 2025-07-17T07:12:16.2745907Z :math:`S = \text{max target length, if shape is } (N, S)`. 2025-07-17T07:12:16.2746102Z It represents the target sequences. Each element in the target 2025-07-17T07:12:16.2746349Z sequence is a class index. And the target index cannot be blank (default=0). 2025-07-17T07:12:16.2746526Z In the :math:`(N, S)` form, targets are padded to the 2025-07-17T07:12:16.2746660Z length of the longest sequence, and stacked. 2025-07-17T07:12:16.2746861Z In the :math:`(\operatorname{sum}(\text{target\_lengths}))` form, 2025-07-17T07:12:16.2746995Z the targets are assumed to be un-padded and 2025-07-17T07:12:16.2747110Z concatenated within 1 dimension. 2025-07-17T07:12:16.2747326Z - Input_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`, 2025-07-17T07:12:16.2747521Z where :math:`N = \text{batch size}`. It represents the lengths of the 2025-07-17T07:12:16.2747730Z inputs (must each be :math:`\leq T`). And the lengths are specified 2025-07-17T07:12:16.2747952Z for each sequence to achieve masking under the assumption that sequences 2025-07-17T07:12:16.2748092Z are padded to equal lengths. 2025-07-17T07:12:16.2748312Z - Target_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`, 2025-07-17T07:12:16.2748521Z where :math:`N = \text{batch size}`. It represents lengths of the targets. 2025-07-17T07:12:16.2748749Z Lengths are specified for each sequence to achieve masking under the 2025-07-17T07:12:16.2748991Z assumption that sequences are padded to equal lengths. If target shape is 2025-07-17T07:12:16.2749210Z :math:`(N,S)`, target_lengths are effectively the stop index 2025-07-17T07:12:16.2749475Z :math:`s_n` for each target sequence, such that ``target_n = targets[n,0:s_n]`` for 2025-07-17T07:12:16.2749651Z each target in a batch. Lengths must each be :math:`\leq S` 2025-07-17T07:12:16.2749890Z If the targets are given as a 1d tensor that is the concatenation of individual 2025-07-17T07:12:16.2750138Z targets, the target_lengths must add up to the total length of the tensor. 2025-07-17T07:12:16.2750328Z - Output: scalar if :attr:`reduction` is ``'mean'`` (default) or 2025-07-17T07:12:16.2750568Z ``'sum'``. If :attr:`reduction` is ``'none'``, then :math:`(N)` if input is batched or 2025-07-17T07:12:16.2750761Z :math:`()` if input is unbatched, where :math:`N = \text{batch size}`. 2025-07-17T07:12:16.2750839Z 2025-07-17T07:12:16.2750937Z Examples: 2025-07-17T07:12:16.2751014Z 2025-07-17T07:12:16.2751120Z >>> # Target are to be padded 2025-07-17T07:12:16.2751241Z >>> T = 50 # Input sequence length 2025-07-17T07:12:16.2751374Z >>> C = 20 # Number of classes (including blank) 2025-07-17T07:12:16.2751467Z >>> N = 16 # Batch size 2025-07-17T07:12:16.2751698Z >>> S = 30 # Target sequence length of longest target in batch (padding length) 2025-07-17T07:12:16.2751878Z >>> S_min = 10 # Minimum target length, for demonstration purposes 2025-07-17T07:12:16.2751974Z >>> 2025-07-17T07:12:16.2752168Z >>> # Initialize random batch of input vectors, for *size = (T,N,C) 2025-07-17T07:12:16.2752371Z >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_() 2025-07-17T07:12:16.2752463Z >>> 2025-07-17T07:12:16.2752650Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-07-17T07:12:16.2752859Z >>> target = torch.randint(low=1, high=C, size=(N, S), dtype=torch.long) 2025-07-17T07:12:16.2752954Z >>> 2025-07-17T07:12:16.2753167Z >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long) 2025-07-17T07:12:16.2753293Z >>> target_lengths = torch.randint( 2025-07-17T07:12:16.2753386Z ... low=S_min, 2025-07-17T07:12:16.2753471Z ... high=S, 2025-07-17T07:12:16.2753571Z ... size=(N,), 2025-07-17T07:12:16.2753673Z ... dtype=torch.long, 2025-07-17T07:12:16.2753779Z ... ) 2025-07-17T07:12:16.2753890Z >>> ctc_loss = nn.CTCLoss() 2025-07-17T07:12:16.2754069Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-07-17T07:12:16.2754164Z >>> loss.backward() 2025-07-17T07:12:16.2754256Z >>> 2025-07-17T07:12:16.2754337Z >>> 2025-07-17T07:12:16.2754462Z >>> # Target are to be un-padded 2025-07-17T07:12:16.2754572Z >>> T = 50 # Input sequence length 2025-07-17T07:12:16.2754707Z >>> C = 20 # Number of classes (including blank) 2025-07-17T07:12:16.2754813Z >>> N = 16 # Batch size 2025-07-17T07:12:16.2754892Z >>> 2025-07-17T07:12:16.2755096Z >>> # Initialize random batch of input vectors, for *size = (T,N,C) 2025-07-17T07:12:16.2755302Z >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_() 2025-07-17T07:12:16.2755544Z >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long) 2025-07-17T07:12:16.2755639Z >>> 2025-07-17T07:12:16.2755828Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-07-17T07:12:16.2756063Z >>> target_lengths = torch.randint(low=1, high=T, size=(N,), dtype=torch.long) 2025-07-17T07:12:16.2756180Z >>> target = torch.randint( 2025-07-17T07:12:16.2756268Z ... low=1, 2025-07-17T07:12:16.2756369Z ... high=C, 2025-07-17T07:12:16.2756531Z ... size=(sum(target_lengths),), 2025-07-17T07:12:16.2756629Z ... dtype=torch.long, 2025-07-17T07:12:16.2756721Z ... ) 2025-07-17T07:12:16.2756823Z >>> ctc_loss = nn.CTCLoss() 2025-07-17T07:12:16.2757004Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-07-17T07:12:16.2757118Z >>> loss.backward() 2025-07-17T07:12:16.2757198Z >>> 2025-07-17T07:12:16.2757282Z >>> 2025-07-17T07:12:16.2757481Z >>> # Target are to be un-padded and unbatched (effectively N=1) 2025-07-17T07:12:16.2757593Z >>> T = 50 # Input sequence length 2025-07-17T07:12:16.2757739Z >>> C = 20 # Number of classes (including blank) 2025-07-17T07:12:16.2757820Z >>> 2025-07-17T07:12:16.2758008Z >>> # Initialize random batch of input vectors, for *size = (T,C) 2025-07-17T07:12:16.2758157Z >>> # xdoctest: +SKIP("FIXME: error in doctest") 2025-07-17T07:12:16.2758360Z >>> input = torch.randn(T, C).log_softmax(1).detach().requires_grad_() 2025-07-17T07:12:16.2758513Z >>> input_lengths = torch.tensor(T, dtype=torch.long) 2025-07-17T07:12:16.2758608Z >>> 2025-07-17T07:12:16.2758798Z >>> # Initialize random batch of targets (0 = blank, 1:C = classes) 2025-07-17T07:12:16.2759027Z >>> target_lengths = torch.randint(low=1, high=T, size=(), dtype=torch.long) 2025-07-17T07:12:16.2759145Z >>> target = torch.randint( 2025-07-17T07:12:16.2759232Z ... low=1, 2025-07-17T07:12:16.2759333Z ... high=C, 2025-07-17T07:12:16.2759436Z ... size=(target_lengths,), 2025-07-17T07:12:16.2759535Z ... dtype=torch.long, 2025-07-17T07:12:16.2759631Z ... ) 2025-07-17T07:12:16.2759730Z >>> ctc_loss = nn.CTCLoss() 2025-07-17T07:12:16.2762635Z >>> loss = ctc_loss(input, target, input_lengths, target_lengths) 2025-07-17T07:12:16.2762775Z >>> loss.backward() 2025-07-17T07:12:16.2762852Z 2025-07-17T07:12:16.2762937Z Reference: 2025-07-17T07:12:16.2763122Z A. Graves et al.: Connectionist Temporal Classification: 2025-07-17T07:12:16.2763350Z Labelling Unsegmented Sequence Data with Recurrent Neural Networks: 2025-07-17T07:12:16.2763510Z https://www.cs.toronto.edu/~graves/icml_2006.pdf 2025-07-17T07:12:16.2763596Z 2025-07-17T07:12:16.2763675Z Note: 2025-07-17T07:12:16.2763963Z In order to use CuDNN, the following must be satisfied: :attr:`targets` must be 2025-07-17T07:12:16.2764221Z in concatenated format, all :attr:`input_lengths` must be `T`. :math:`blank=0`, 2025-07-17T07:12:16.2764436Z :attr:`target_lengths` :math:`\leq 256`, the integer arguments must be of 2025-07-17T07:12:16.2764552Z dtype :attr:`torch.int32`. 2025-07-17T07:12:16.2764630Z 2025-07-17T07:12:16.2764943Z The regular implementation uses the (more common in PyTorch) `torch.long` dtype. 2025-07-17T07:12:16.2765020Z 2025-07-17T07:12:16.2765109Z 2025-07-17T07:12:16.2765189Z Note: 2025-07-17T07:12:16.2765428Z In some circumstances when using the CUDA backend with CuDNN, this operator 2025-07-17T07:12:16.2765689Z may select a nondeterministic algorithm to increase performance. If this is 2025-07-17T07:12:16.2765926Z undesirable, you can try to make the operation deterministic (potentially at 2025-07-17T07:12:16.2766188Z a performance cost) by setting ``torch.backends.cudnn.deterministic = 2025-07-17T07:12:16.2766281Z True``. 2025-07-17T07:12:16.2766474Z Please see the notes on :doc:`/notes/randomness` for background. 2025-07-17T07:12:16.2766564Z 2025-07-17T07:12:16.2766812Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2766888Z 2025-07-17T07:12:16.2766992Z warnings.warn(msg) 2025-07-17T07:12:16.2767067Z 2025-07-17T07:12:16.2767330Z --- Parse Warning: 106 / 136 --- 2025-07-17T07:12:16.2768238Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MaxUnpool2d in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/pooling.py line=406. 2025-07-17T07:12:16.2768497Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2768664Z Computes a partial inverse of :class:`MaxPool2d`. 2025-07-17T07:12:16.2768742Z 2025-07-17T07:12:16.2768995Z :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost. 2025-07-17T07:12:16.2769086Z 2025-07-17T07:12:16.2769309Z :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d` 2025-07-17T07:12:16.2769766Z including the indices of the maximal values and computes a partial inverse 2025-07-17T07:12:16.2769924Z in which all non-maximal values are set to zero. 2025-07-17T07:12:16.2770005Z 2025-07-17T07:12:16.2770087Z Note: 2025-07-17T07:12:16.2770413Z This operation may behave nondeterministically when the input indices has repeat values. 2025-07-17T07:12:16.2770788Z See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information. 2025-07-17T07:12:16.2770877Z 2025-07-17T07:12:16.2771109Z .. note:: :class:`MaxPool2d` can map several input sizes to the same output 2025-07-17T07:12:16.2771281Z sizes. Hence, the inversion process can get ambiguous. 2025-07-17T07:12:16.2771478Z To accommodate this, you can provide the needed output size 2025-07-17T07:12:16.2771682Z as an additional argument :attr:`output_size` in the forward call. 2025-07-17T07:12:16.2771801Z See the Inputs and Example below. 2025-07-17T07:12:16.2771890Z 2025-07-17T07:12:16.2772066Z Args: 2025-07-17T07:12:16.2772262Z kernel_size (int or tuple): Size of the max pooling window. 2025-07-17T07:12:16.2772428Z stride (int or tuple): Stride of the max pooling window. 2025-07-17T07:12:16.2772557Z It is set to :attr:`kernel_size` by default. 2025-07-17T07:12:16.2772746Z padding (int or tuple): Padding that was added to the input 2025-07-17T07:12:16.2772822Z 2025-07-17T07:12:16.2772904Z Inputs: 2025-07-17T07:12:16.2773035Z - `input`: the input Tensor to invert 2025-07-17T07:12:16.2773273Z - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d` 2025-07-17T07:12:16.2773428Z - `output_size` (optional): the targeted output size 2025-07-17T07:12:16.2773516Z 2025-07-17T07:12:16.2773596Z Shape: 2025-07-17T07:12:16.2773787Z - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`. 2025-07-17T07:12:16.2773993Z - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where 2025-07-17T07:12:16.2774073Z 2025-07-17T07:12:16.2774173Z .. math:: 2025-07-17T07:12:16.2774435Z H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]} 2025-07-17T07:12:16.2774511Z 2025-07-17T07:12:16.2774608Z .. math:: 2025-07-17T07:12:16.2774860Z W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]} 2025-07-17T07:12:16.2774976Z 2025-07-17T07:12:16.2775147Z or as given by :attr:`output_size` in the call operator 2025-07-17T07:12:16.2775225Z 2025-07-17T07:12:16.2775323Z Example:: 2025-07-17T07:12:16.2775399Z 2025-07-17T07:12:16.2775556Z >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True) 2025-07-17T07:12:16.2775690Z >>> unpool = nn.MaxUnpool2d(2, stride=2) 2025-07-17T07:12:16.2775818Z >>> input = torch.tensor([[[[ 1., 2., 3., 4.], 2025-07-17T07:12:16.2775961Z [ 5., 6., 7., 8.], 2025-07-17T07:12:16.2776082Z [ 9., 10., 11., 12.], 2025-07-17T07:12:16.2776189Z [13., 14., 15., 16.]]]]) 2025-07-17T07:12:16.2776303Z >>> output, indices = pool(input) 2025-07-17T07:12:16.2776414Z >>> unpool(output, indices) 2025-07-17T07:12:16.2776519Z tensor([[[[ 0., 0., 0., 0.], 2025-07-17T07:12:16.2776627Z [ 0., 6., 0., 8.], 2025-07-17T07:12:16.2776720Z [ 0., 0., 0., 0.], 2025-07-17T07:12:16.2776818Z [ 0., 14., 0., 16.]]]]) 2025-07-17T07:12:16.2777037Z >>> # Now using output_size to resolve an ambiguous size for the inverse 2025-07-17T07:12:16.2777173Z >>> input = torch.tensor([[[[ 1., 2., 3., 4., 5.], 2025-07-17T07:12:16.2777281Z [ 6., 7., 8., 9., 10.], 2025-07-17T07:12:16.2777403Z [11., 12., 13., 14., 15.], 2025-07-17T07:12:16.2777510Z [16., 17., 18., 19., 20.]]]]) 2025-07-17T07:12:16.2777639Z >>> output, indices = pool(input) 2025-07-17T07:12:16.2777808Z >>> # This call will not work without specifying output_size 2025-07-17T07:12:16.2777963Z >>> unpool(output, indices, output_size=input.size()) 2025-07-17T07:12:16.2778082Z tensor([[[[ 0., 0., 0., 0., 0.], 2025-07-17T07:12:16.2778178Z [ 0., 7., 0., 9., 0.], 2025-07-17T07:12:16.2778271Z [ 0., 0., 0., 0., 0.], 2025-07-17T07:12:16.2778383Z [ 0., 17., 0., 19., 0.]]]]) 2025-07-17T07:12:16.2778459Z 2025-07-17T07:12:16.2778534Z 2025-07-17T07:12:16.2778625Z 2025-07-17T07:12:16.2778876Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2779017Z 2025-07-17T07:12:16.2779195Z warnings.warn(msg) 2025-07-17T07:12:16.2779274Z 2025-07-17T07:12:16.2779506Z --- Parse Warning: 107 / 136 --- 2025-07-17T07:12:16.2780401Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=EmbeddingBag in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/sparse.py line=272. 2025-07-17T07:12:16.2780663Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2781028Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings. 2025-07-17T07:12:16.2781106Z 2025-07-17T07:12:16.2781436Z For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`, 2025-07-17T07:12:16.2781541Z and with 2D inputs, this class 2025-07-17T07:12:16.2781619Z 2025-07-17T07:12:16.2781932Z * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``, 2025-07-17T07:12:16.2782236Z * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``, 2025-07-17T07:12:16.2782526Z * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``. 2025-07-17T07:12:16.2782618Z 2025-07-17T07:12:16.2782966Z However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these 2025-07-17T07:12:16.2783097Z operations. 2025-07-17T07:12:16.2783174Z 2025-07-17T07:12:16.2783430Z EmbeddingBag also supports per-sample weights as an argument to the forward 2025-07-17T07:12:16.2783672Z pass. This scales the output of the Embedding before performing a weighted 2025-07-17T07:12:16.2783917Z reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the 2025-07-17T07:12:16.2784174Z only supported ``mode`` is ``"sum"``, which computes a weighted sum according to 2025-07-17T07:12:16.2784289Z :attr:`per_sample_weights`. 2025-07-17T07:12:16.2784366Z 2025-07-17T07:12:16.2784447Z Args: 2025-07-17T07:12:16.2784636Z num_embeddings (int): size of the dictionary of embeddings 2025-07-17T07:12:16.2784802Z embedding_dim (int): the size of each embedding vector 2025-07-17T07:12:16.2785121Z max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm` 2025-07-17T07:12:16.2785272Z is renormalized to have norm :attr:`max_norm`. 2025-07-17T07:12:16.2785607Z norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``. 2025-07-17T07:12:16.2785942Z scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of 2025-07-17T07:12:16.2786102Z the words in the mini-batch. Default ``False``. 2025-07-17T07:12:16.2786294Z Note: this option is not supported when ``mode="max"``. 2025-07-17T07:12:16.2786538Z mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag. 2025-07-17T07:12:16.2786751Z ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights` 2025-07-17T07:12:16.2786977Z into consideration. ``"mean"`` computes the average of the values 2025-07-17T07:12:16.2787151Z in the bag, ``"max"`` computes the max value over each bag. 2025-07-17T07:12:16.2787275Z Default: ``"mean"`` 2025-07-17T07:12:16.2787588Z sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See 2025-07-17T07:12:16.2787908Z Notes for more details regarding sparse gradients. Note: this option is not 2025-07-17T07:12:16.2788046Z supported when ``mode="max"``. 2025-07-17T07:12:16.2788413Z include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element 2025-07-17T07:12:16.2788630Z is equivalent to the size of `indices`. This matches the CSR format. 2025-07-17T07:12:16.2788973Z padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the 2025-07-17T07:12:16.2789270Z gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated 2025-07-17T07:12:16.2789525Z during training, i.e. it remains as a fixed "pad". For a newly constructed 2025-07-17T07:12:16.2789794Z EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all 2025-07-17T07:12:16.2790035Z zeros, but can be updated to another value to be used as the padding vector. 2025-07-17T07:12:16.2790291Z Note that the embedding vector at :attr:`padding_idx` is excluded from the 2025-07-17T07:12:16.2790397Z reduction. 2025-07-17T07:12:16.2790512Z 2025-07-17T07:12:16.2790596Z Attributes: 2025-07-17T07:12:16.2790910Z weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)` 2025-07-17T07:12:16.2791062Z initialized from :math:`\mathcal{N}(0, 1)`. 2025-07-17T07:12:16.2791139Z 2025-07-17T07:12:16.2791229Z Examples:: 2025-07-17T07:12:16.2791317Z 2025-07-17T07:12:16.2791482Z >>> # an EmbeddingBag module containing 10 tensors of size 3 2025-07-17T07:12:16.2791650Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum') 2025-07-17T07:12:16.2791814Z >>> # a batch of 2 samples of 4 indices each 2025-07-17T07:12:16.2791996Z >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long) 2025-07-17T07:12:16.2792151Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2025-07-17T07:12:16.2792289Z >>> # xdoctest: +IGNORE_WANT("non-deterministic") 2025-07-17T07:12:16.2792401Z >>> embedding_sum(input, offsets) 2025-07-17T07:12:16.2792522Z tensor([[-0.8861, -5.4350, -0.0523], 2025-07-17T07:12:16.2792624Z [ 1.1306, -2.5798, -1.0044]]) 2025-07-17T07:12:16.2792701Z 2025-07-17T07:12:16.2792821Z >>> # Example with padding_idx 2025-07-17T07:12:16.2793026Z >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2) 2025-07-17T07:12:16.2793216Z >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long) 2025-07-17T07:12:16.2793363Z >>> offsets = torch.tensor([0, 4], dtype=torch.long) 2025-07-17T07:12:16.2793479Z >>> embedding_sum(input, offsets) 2025-07-17T07:12:16.2793593Z tensor([[ 0.0000, 0.0000, 0.0000], 2025-07-17T07:12:16.2793692Z [-0.7082, 3.2145, -2.6251]]) 2025-07-17T07:12:16.2793768Z 2025-07-17T07:12:16.2793955Z >>> # An EmbeddingBag can be loaded from an Embedding like so 2025-07-17T07:12:16.2794097Z >>> embedding = nn.Embedding(10, 3, padding_idx=2) 2025-07-17T07:12:16.2794266Z >>> embedding_sum = nn.EmbeddingBag.from_pretrained( 2025-07-17T07:12:16.2794367Z embedding.weight, 2025-07-17T07:12:16.2794494Z padding_idx=embedding.padding_idx, 2025-07-17T07:12:16.2794628Z mode='sum') 2025-07-17T07:12:16.2794708Z 2025-07-17T07:12:16.2794958Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2795048Z 2025-07-17T07:12:16.2795170Z warnings.warn(msg) 2025-07-17T07:12:16.2795249Z 2025-07-17T07:12:16.2795457Z --- Parse Warning: 108 / 136 --- 2025-07-17T07:12:16.2796409Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Transformer.forward in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py line=186. 2025-07-17T07:12:16.2796685Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2796864Z Take in and process masked source/target sequences. 2025-07-17T07:12:16.2796940Z 2025-07-17T07:12:16.2797039Z .. note:: 2025-07-17T07:12:16.2797114Z 2025-07-17T07:12:16.2797497Z If a boolean tensor is provided for any of the [src/tgt/memory]_mask arguments, positions with a ``True`` value are 2025-07-17T07:12:16.2797649Z not allowed to participate in the attention, 2025-07-17T07:12:16.2797843Z which is the opposite of the definition for :attr:`attn_mask` 2025-07-17T07:12:16.2798038Z in :func:`torch.nn.functional.scaled_dot_product_attention`. 2025-07-17T07:12:16.2798114Z 2025-07-17T07:12:16.2798197Z Args: 2025-07-17T07:12:16.2798343Z src: the sequence to the encoder (required). 2025-07-17T07:12:16.2798475Z tgt: the sequence to the decoder (required). 2025-07-17T07:12:16.2798681Z src_mask: the additive mask for the src sequence (optional). 2025-07-17T07:12:16.2798872Z tgt_mask: the additive mask for the tgt sequence (optional). 2025-07-17T07:12:16.2799074Z memory_mask: the additive mask for the encoder output (optional). 2025-07-17T07:12:16.2799297Z src_key_padding_mask: the Tensor mask for src keys per batch (optional). 2025-07-17T07:12:16.2799534Z tgt_key_padding_mask: the Tensor mask for tgt keys per batch (optional). 2025-07-17T07:12:16.2799808Z memory_key_padding_mask: the Tensor mask for memory keys per batch (optional). 2025-07-17T07:12:16.2800020Z src_is_causal: If specified, applies a causal mask as ``src_mask``. 2025-07-17T07:12:16.2800162Z Default: ``None``; try to detect a causal mask. 2025-07-17T07:12:16.2800251Z Warning: 2025-07-17T07:12:16.2800417Z ``src_is_causal`` provides a hint that ``src_mask`` is 2025-07-17T07:12:16.2800593Z the causal mask. Providing incorrect hints can result in 2025-07-17T07:12:16.2800754Z incorrect execution, including forward and backward 2025-07-17T07:12:16.2800861Z compatibility. 2025-07-17T07:12:16.2801060Z tgt_is_causal: If specified, applies a causal mask as ``tgt_mask``. 2025-07-17T07:12:16.2801212Z Default: ``None``; try to detect a causal mask. 2025-07-17T07:12:16.2801300Z Warning: 2025-07-17T07:12:16.2801457Z ``tgt_is_causal`` provides a hint that ``tgt_mask`` is 2025-07-17T07:12:16.2801637Z the causal mask. Providing incorrect hints can result in 2025-07-17T07:12:16.2801795Z incorrect execution, including forward and backward 2025-07-17T07:12:16.2801891Z compatibility. 2025-07-17T07:12:16.2802076Z memory_is_causal: If specified, applies a causal mask as 2025-07-17T07:12:16.2802172Z ``memory_mask``. 2025-07-17T07:12:16.2802282Z Default: ``False``. 2025-07-17T07:12:16.2802367Z Warning: 2025-07-17T07:12:16.2802495Z ``memory_is_causal`` provides a hint that 2025-07-17T07:12:16.2802668Z ``memory_mask`` is the causal mask. Providing incorrect 2025-07-17T07:12:16.2802820Z hints can result in incorrect execution, including 2025-07-17T07:12:16.2802943Z forward and backward compatibility. 2025-07-17T07:12:16.2803060Z 2025-07-17T07:12:16.2803144Z Shape: 2025-07-17T07:12:16.2803385Z - src: :math:`(S, E)` for unbatched input, :math:`(S, N, E)` if `batch_first=False` or 2025-07-17T07:12:16.2803511Z `(N, S, E)` if `batch_first=True`. 2025-07-17T07:12:16.2803743Z - tgt: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or 2025-07-17T07:12:16.2803869Z `(N, T, E)` if `batch_first=True`. 2025-07-17T07:12:16.2804077Z - src_mask: :math:`(S, S)` or :math:`(N\cdot\text{num\_heads}, S, S)`. 2025-07-17T07:12:16.2804257Z - tgt_mask: :math:`(T, T)` or :math:`(N\cdot\text{num\_heads}, T, T)`. 2025-07-17T07:12:16.2804379Z - memory_mask: :math:`(T, S)`. 2025-07-17T07:12:16.2804618Z - src_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`. 2025-07-17T07:12:16.2804869Z - tgt_key_padding_mask: :math:`(T)` for unbatched input otherwise :math:`(N, T)`. 2025-07-17T07:12:16.2805123Z - memory_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`. 2025-07-17T07:12:16.2805201Z 2025-07-17T07:12:16.2805519Z Note: [src/tgt/memory]_mask ensures that position :math:`i` is allowed to attend the unmasked 2025-07-17T07:12:16.2805724Z positions. If a BoolTensor is provided, positions with ``True`` 2025-07-17T07:12:16.2806354Z are not allowed to attend while ``False`` values will be unchanged. If a FloatTensor 2025-07-17T07:12:16.2806530Z is provided, it will be added to the attention weight. 2025-07-17T07:12:16.2806834Z [src/tgt/memory]_key_padding_mask provides specified elements in the key to be ignored by 2025-07-17T07:12:16.2807060Z the attention. If a BoolTensor is provided, the positions with the 2025-07-17T07:12:16.2807370Z value of ``True`` will be ignored while the position with the value of ``False`` will be unchanged. 2025-07-17T07:12:16.2807476Z 2025-07-17T07:12:16.2807742Z - output: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or 2025-07-17T07:12:16.2807860Z `(N, T, E)` if `batch_first=True`. 2025-07-17T07:12:16.2807937Z 2025-07-17T07:12:16.2808187Z Note: Due to the multi-head attention architecture in the transformer model, 2025-07-17T07:12:16.2808423Z the output sequence length of a transformer is same as the input sequence 2025-07-17T07:12:16.2808556Z (i.e. target) length of the decoder. 2025-07-17T07:12:16.2808632Z 2025-07-17T07:12:16.2808949Z where :math:`S` is the source sequence length, :math:`T` is the target sequence length, :math:`N` is the 2025-07-17T07:12:16.2809093Z batch size, :math:`E` is the feature number 2025-07-17T07:12:16.2809170Z 2025-07-17T07:12:16.2809255Z Examples: 2025-07-17T07:12:16.2809375Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2809486Z >>> output = transformer_model( 2025-07-17T07:12:16.2809631Z ... src, tgt, src_mask=src_mask, tgt_mask=tgt_mask 2025-07-17T07:12:16.2809726Z ... ) 2025-07-17T07:12:16.2809808Z 2025-07-17T07:12:16.2810070Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2810150Z 2025-07-17T07:12:16.2810244Z warnings.warn(msg) 2025-07-17T07:12:16.2810333Z 2025-07-17T07:12:16.2810530Z --- Parse Warning: 109 / 136 --- 2025-07-17T07:12:16.2811540Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel.join in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=1766. 2025-07-17T07:12:16.2811845Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2811924Z 2025-07-17T07:12:16.2812172Z Context manager for training with uneven inputs across processes in DDP. 2025-07-17T07:12:16.2812251Z 2025-07-17T07:12:16.2812471Z This context manager will keep track of already-joined DDP processes, 2025-07-17T07:12:16.2812690Z and "shadow" the forward and backward passes by inserting collective 2025-07-17T07:12:16.2812923Z communication operations to match with the ones created by non-joined 2025-07-17T07:12:16.2813181Z DDP processes. This will ensure each collective call has a corresponding 2025-07-17T07:12:16.2813408Z call by already-joined DDP processes, preventing hangs or errors that 2025-07-17T07:12:16.2813612Z would otherwise happen when training with uneven inputs across 2025-07-17T07:12:16.2813854Z processes. Alternatively, if the flag ``throw_on_early_termination`` is 2025-07-17T07:12:16.2814058Z specified to be ``True``, all trainers will throw an error once one rank 2025-07-17T07:12:16.2814257Z runs out of inputs, allowing these errors to be caught and handled 2025-07-17T07:12:16.2814379Z according to application logic. 2025-07-17T07:12:16.2814458Z 2025-07-17T07:12:16.2814672Z Once all DDP processes have joined, the context manager will broadcast 2025-07-17T07:12:16.2814905Z the model corresponding to the last joined process to all processes to 2025-07-17T07:12:16.2815049Z ensure the model is the same across all processes 2025-07-17T07:12:16.2815178Z (which is guaranteed by DDP). 2025-07-17T07:12:16.2815268Z 2025-07-17T07:12:16.2815465Z To use this to enable training with uneven inputs across processes, 2025-07-17T07:12:16.2815695Z simply wrap this context manager around your training loop. No further 2025-07-17T07:12:16.2815866Z modifications to the model or data loading is required. 2025-07-17T07:12:16.2815941Z 2025-07-17T07:12:16.2816042Z .. warning:: 2025-07-17T07:12:16.2816242Z If the model or training loop this context manager is wrapped around 2025-07-17T07:12:16.2816449Z has additional distributed collective operations, such as 2025-07-17T07:12:16.2816642Z ``SyncBatchNorm`` in the model's forward pass, then the flag 2025-07-17T07:12:16.2816841Z ``throw_on_early_termination`` must be enabled. This is because this 2025-07-17T07:12:16.2817057Z context manager is not aware of non-DDP collective communication. 2025-07-17T07:12:16.2817225Z This flag will cause all ranks to throw when any one rank 2025-07-17T07:12:16.2817433Z exhausts inputs, allowing these errors to be caught and recovered 2025-07-17T07:12:16.2817544Z from across all ranks. 2025-07-17T07:12:16.2817621Z 2025-07-17T07:12:16.2817700Z Args: 2025-07-17T07:12:16.2817887Z divide_by_initial_world_size (bool): If ``True``, will divide 2025-07-17T07:12:16.2818085Z gradients by the initial ``world_size`` DDP training was launched 2025-07-17T07:12:16.2818247Z with. If ``False``, will compute the effective world size 2025-07-17T07:12:16.2818441Z (number of ranks that have not depleted their inputs yet) and 2025-07-17T07:12:16.2818581Z divide gradients by that during allreduce. Set 2025-07-17T07:12:16.2818765Z ``divide_by_initial_world_size=True`` to ensure every input 2025-07-17T07:12:16.2818969Z sample including the uneven inputs have equal weight in terms of 2025-07-17T07:12:16.2819247Z how much they contribute to the global gradient. This is 2025-07-17T07:12:16.2819432Z achieved by always dividing the gradient by the initial 2025-07-17T07:12:16.2819614Z ``world_size`` even when we encounter uneven inputs. If you set 2025-07-17T07:12:16.2819781Z this to ``False``, we divide the gradient by the remaining 2025-07-17T07:12:16.2819982Z number of nodes. This ensures parity with training on a smaller 2025-07-17T07:12:16.2820197Z ``world_size`` although it also means the uneven inputs would 2025-07-17T07:12:16.2820401Z contribute more towards the global gradient. Typically, you 2025-07-17T07:12:16.2820583Z would want to set this to ``True`` for cases where the last few 2025-07-17T07:12:16.2820775Z inputs of your training job are uneven. In extreme cases, where 2025-07-17T07:12:16.2820966Z there is a large discrepancy in the number of inputs, setting 2025-07-17T07:12:16.2821108Z this to ``False`` might provide better results. 2025-07-17T07:12:16.2821340Z enable (bool): Whether to enable uneven input detection or not. Pass 2025-07-17T07:12:16.2821516Z in ``enable=False`` to disable in cases where you know that 2025-07-17T07:12:16.2821697Z inputs are even across participating processes. Default is 2025-07-17T07:12:16.2821789Z ``True``. 2025-07-17T07:12:16.2821968Z throw_on_early_termination (bool): Whether to throw an error 2025-07-17T07:12:16.2822166Z or continue training when at least one rank has exhausted 2025-07-17T07:12:16.2822346Z inputs. If ``True``, will throw upon the first rank reaching end 2025-07-17T07:12:16.2822512Z of data. If ``False``, will continue training with a smaller 2025-07-17T07:12:16.2822715Z effective world size until all ranks are joined. Note that if 2025-07-17T07:12:16.2822837Z this flag is specified, then the flag 2025-07-17T07:12:16.2823060Z ``divide_by_initial_world_size`` would be ignored. Default 2025-07-17T07:12:16.2823153Z is ``False``. 2025-07-17T07:12:16.2823230Z 2025-07-17T07:12:16.2823319Z 2025-07-17T07:12:16.2823408Z Example:: 2025-07-17T07:12:16.2823484Z 2025-07-17T07:12:16.2823609Z >>> # xdoctest: +SKIP("Distributed") 2025-07-17T07:12:16.2823698Z >>> import torch 2025-07-17T07:12:16.2823813Z >>> import torch.distributed as dist 2025-07-17T07:12:16.2823909Z >>> import os 2025-07-17T07:12:16.2824032Z >>> import torch.multiprocessing as mp 2025-07-17T07:12:16.2824153Z >>> import torch.nn as nn 2025-07-17T07:12:16.2824267Z >>> # On each spawned worker 2025-07-17T07:12:16.2824364Z >>> def worker(rank): 2025-07-17T07:12:16.2824546Z >>> dist.init_process_group("nccl", rank=rank, world_size=2) 2025-07-17T07:12:16.2824655Z >>> torch.cuda.set_device(rank) 2025-07-17T07:12:16.2824787Z >>> model = nn.Linear(1, 1, bias=False).to(rank) 2025-07-17T07:12:16.2824971Z >>> model = torch.nn.parallel.DistributedDataParallel( 2025-07-17T07:12:16.2825106Z >>> model, device_ids=[rank], output_device=rank 2025-07-17T07:12:16.2825184Z >>> ) 2025-07-17T07:12:16.2825317Z >>> # Rank 1 gets one more input than rank 0. 2025-07-17T07:12:16.2825499Z >>> inputs = [torch.tensor([1]).float() for _ in range(10 + rank)] 2025-07-17T07:12:16.2825600Z >>> with model.join(): 2025-07-17T07:12:16.2825711Z >>> for _ in range(5): 2025-07-17T07:12:16.2825812Z >>> for inp in inputs: 2025-07-17T07:12:16.2825936Z >>> loss = model(inp).sum() 2025-07-17T07:12:16.2826037Z >>> loss.backward() 2025-07-17T07:12:16.2826222Z >>> # Without the join() API, the below synchronization will hang 2025-07-17T07:12:16.2826373Z >>> # blocking for rank 1's allreduce to complete. 2025-07-17T07:12:16.2826497Z >>> torch.cuda.synchronize(device=rank) 2025-07-17T07:12:16.2826577Z 2025-07-17T07:12:16.2826842Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2826921Z 2025-07-17T07:12:16.2827012Z warnings.warn(msg) 2025-07-17T07:12:16.2827100Z 2025-07-17T07:12:16.2827312Z --- Parse Warning: 110 / 136 --- 2025-07-17T07:12:16.2828450Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/parallel/distributed.py line=2057. 2025-07-17T07:12:16.2828713Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2828791Z 2025-07-17T07:12:16.2829113Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction. 2025-07-17T07:12:16.2829191Z 2025-07-17T07:12:16.2829394Z Registers an optimizer with DDP such that the optimization for a 2025-07-17T07:12:16.2829637Z parameter will run immediately when that parameter's gradient is 2025-07-17T07:12:16.2829836Z finished with reduction, instead of waiting for all parameters' 2025-07-17T07:12:16.2830059Z gradients to finish reduction. This can result in a training speedup 2025-07-17T07:12:16.2830272Z depending on your workload since the optimizer can run while gradient 2025-07-17T07:12:16.2830503Z reduction for other parameters are still ongoing. In addition, this has 2025-07-17T07:12:16.2830734Z the potential to reduce peak memory consumption during training, as it 2025-07-17T07:12:16.2830930Z only needs to load the per-parameter optimizer states of a single 2025-07-17T07:12:16.2831137Z parameter at a time, instead of loading all per-parameter optimizer 2025-07-17T07:12:16.2831236Z states at once. 2025-07-17T07:12:16.2831312Z 2025-07-17T07:12:16.2831429Z Args: 2025-07-17T07:12:16.2831619Z optim (Type): a ``torch.optim.Optimizer`` class to be registered 2025-07-17T07:12:16.2831718Z as a fused optimizer. 2025-07-17T07:12:16.2831892Z *args (Sequence[Any]): Arguments to forward to `optim`. 2025-07-17T07:12:16.2832100Z optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters 2025-07-17T07:12:16.2832319Z to optimize, similar to `params` argument of traditional `torch.optim` 2025-07-17T07:12:16.2832533Z Optimizers. If this is omitted, all DDP model parameters will be 2025-07-17T07:12:16.2832642Z optimized. 2025-07-17T07:12:16.2832835Z **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`. 2025-07-17T07:12:16.2832924Z 2025-07-17T07:12:16.2833011Z .. warning :: 2025-07-17T07:12:16.2833235Z _register_fused_optim should only be called once on a DDP instance, 2025-07-17T07:12:16.2833442Z and registering multiple fused optimizers for the same DDP model 2025-07-17T07:12:16.2833574Z is not currently supported. Please ping 2025-07-17T07:12:16.2833822Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-07-17T07:12:16.2833916Z for your use case. 2025-07-17T07:12:16.2833994Z 2025-07-17T07:12:16.2834094Z .. warning :: 2025-07-17T07:12:16.2834282Z _register_fused_optim and register_comm_hook currently do not 2025-07-17T07:12:16.2834503Z compose together, meaning that custom DDP communication hooks are 2025-07-17T07:12:16.2834674Z not supported with overlapped optimizers. Please ping 2025-07-17T07:12:16.2834897Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-07-17T07:12:16.2834999Z for your use case. 2025-07-17T07:12:16.2835075Z 2025-07-17T07:12:16.2835160Z .. warning :: 2025-07-17T07:12:16.2835392Z Gradient accumulation and DDP `no_sync` are currently not supported 2025-07-17T07:12:16.2835516Z with overlapped optimizer. Please ping 2025-07-17T07:12:16.2835740Z https://github.com/pytorch/pytorch/issues/71595 if this is necessary 2025-07-17T07:12:16.2835846Z for your use case. 2025-07-17T07:12:16.2835924Z 2025-07-17T07:12:16.2836020Z Example:: 2025-07-17T07:12:16.2836097Z 2025-07-17T07:12:16.2836226Z >>> # xdoctest: +SKIP("No rendezvous handler") 2025-07-17T07:12:16.2836532Z >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...') 2025-07-17T07:12:16.2836752Z >>> net = torch.nn.parallel.DistributedDataParallel(model, pg) 2025-07-17T07:12:16.2836842Z >>> lr = 1e-2 2025-07-17T07:12:16.2836946Z >>> betas = (0.9, 0.99) 2025-07-17T07:12:16.2837033Z >>> eps = 1e-6 2025-07-17T07:12:16.2837252Z >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps) 2025-07-17T07:12:16.2837384Z >>> # Example with subset of parameters 2025-07-17T07:12:16.2837517Z >>> params_to_opt = [list(net.parameters())[0]] 2025-07-17T07:12:16.2837637Z >>> net._register_fused_optim( 2025-07-17T07:12:16.2837887Z ... torch.optim.Adam, lr, optim_params=params_to_opt, betas=betas, eps=eps 2025-07-17T07:12:16.2837968Z ... ) 2025-07-17T07:12:16.2838058Z 2025-07-17T07:12:16.2838308Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2838385Z 2025-07-17T07:12:16.2838492Z warnings.warn(msg) 2025-07-17T07:12:16.2838569Z 2025-07-17T07:12:16.2838766Z --- Parse Warning: 111 / 136 --- 2025-07-17T07:12:16.2839777Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=14. 2025-07-17T07:12:16.2840039Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2840266Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``. 2025-07-17T07:12:16.2840375Z 2025-07-17T07:12:16.2840646Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2025-07-17T07:12:16.2840926Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2025-07-17T07:12:16.2841178Z This function is used to facilitate the computation to adopt NHWC kernels, which 2025-07-17T07:12:16.2841484Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2025-07-17T07:12:16.2841598Z 2025-07-17T07:12:16.2841683Z .. note:: 2025-07-17T07:12:16.2841926Z Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive 2025-07-17T07:12:16.2842144Z than the utility function ``convert_conv2d_weight_memory_format``. Any 2025-07-17T07:12:16.2842348Z layer with 4d weight will be affected by ``model.to``, which does not 2025-07-17T07:12:16.2842581Z necessarily benefit from conversion to specified ``memory_format``. 2025-07-17T07:12:16.2842801Z One place we are confident in is that NHWC(channels_last) conversion for 2025-07-17T07:12:16.2843013Z convolution in cuDNN, as it is beneficial to run convolution in NHWC, 2025-07-17T07:12:16.2843219Z even in cases where we have to apply permutation to input tensors. 2025-07-17T07:12:16.2843295Z 2025-07-17T07:12:16.2843532Z Hence our strategy here is to convert only the weight of convolution to 2025-07-17T07:12:16.2843649Z channels_last. This ensures that; 2025-07-17T07:12:16.2843860Z 1. Fast convolution kernels will be used, the benefit of which could 2025-07-17T07:12:16.2844099Z outweigh overhead of permutation (if input is not in the same format). 2025-07-17T07:12:16.2844327Z 2. No unnecessary permutations are applied on layers that do not benefit 2025-07-17T07:12:16.2844436Z from memory_format conversion. 2025-07-17T07:12:16.2844528Z 2025-07-17T07:12:16.2844747Z The optimal case is that, layers between convolution layers are channels 2025-07-17T07:12:16.2844990Z last compatible. Input tensor would be permuted to channels last when it 2025-07-17T07:12:16.2845215Z encounters the first convolution layer and stay in that memory format. 2025-07-17T07:12:16.2845447Z Hence following convolutions will not need to permute its input tensor. 2025-07-17T07:12:16.2845537Z 2025-07-17T07:12:16.2845783Z In case where a channels last incompatible layer is between convolution 2025-07-17T07:12:16.2845991Z layers, we need to permute the input tensor back to contiguous format 2025-07-17T07:12:16.2846220Z for that layer. The input tensor will go through the remaining layers in 2025-07-17T07:12:16.2846441Z contiguous format and be permuted to channels last when it encounters 2025-07-17T07:12:16.2846662Z another convolution layer. There's no point in propagating that 2025-07-17T07:12:16.2846898Z permutation to an earlier layer, as most layers are quite agnostic to 2025-07-17T07:12:16.2846993Z ``memory_format``. 2025-07-17T07:12:16.2847081Z 2025-07-17T07:12:16.2847306Z This claim might change when PyTorch supports fusion of permutation, as 2025-07-17T07:12:16.2847519Z there might have been a better spot to fuse the permutation other than 2025-07-17T07:12:16.2847648Z immediately before a convolution. 2025-07-17T07:12:16.2847727Z 2025-07-17T07:12:16.2847817Z Args: 2025-07-17T07:12:16.2848025Z module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container 2025-07-17T07:12:16.2848126Z ``nn.Module`` 2025-07-17T07:12:16.2848288Z memory_format: user specified ``memory_format``, 2025-07-17T07:12:16.2848461Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2025-07-17T07:12:16.2848563Z 2025-07-17T07:12:16.2848660Z Returns: 2025-07-17T07:12:16.2848803Z The original module with updated ``nn.Conv2d`` 2025-07-17T07:12:16.2848879Z 2025-07-17T07:12:16.2848976Z Example: 2025-07-17T07:12:16.2849111Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-07-17T07:12:16.2849263Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2025-07-17T07:12:16.2849378Z >>> input = torch.randint( 2025-07-17T07:12:16.2849545Z ... 1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda" 2025-07-17T07:12:16.2849640Z ... ) 2025-07-17T07:12:16.2849742Z >>> model = nn.Sequential( 2025-07-17T07:12:16.2849859Z >>> nn.Conv2d(8, 4, 3)).cuda().half() 2025-07-17T07:12:16.2849975Z >>> # This is identical to: 2025-07-17T07:12:16.2850215Z >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last) 2025-07-17T07:12:16.2850379Z >>> model = nn.utils.convert_conv2d_weight_memory_format( 2025-07-17T07:12:16.2850507Z ... model, torch.channels_last 2025-07-17T07:12:16.2850591Z ... ) 2025-07-17T07:12:16.2850699Z >>> out = model(input) 2025-07-17T07:12:16.2850778Z 2025-07-17T07:12:16.2851027Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2851115Z 2025-07-17T07:12:16.2851209Z warnings.warn(msg) 2025-07-17T07:12:16.2851284Z 2025-07-17T07:12:16.2851499Z --- Parse Warning: 112 / 136 --- 2025-07-17T07:12:16.2852495Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/memory_format.py line=93. 2025-07-17T07:12:16.2852755Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2852978Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format`` 2025-07-17T07:12:16.2853250Z The conversion recursively applies to nested ``nn.Module``, including ``module``. 2025-07-17T07:12:16.2853532Z Note that it only changes the memory_format, but not the semantics of each dimensions. 2025-07-17T07:12:16.2853784Z This function is used to facilitate the computation to adopt NHWC kernels, which 2025-07-17T07:12:16.2854119Z provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0 2025-07-17T07:12:16.2854214Z 2025-07-17T07:12:16.2854300Z .. note:: 2025-07-17T07:12:16.2854553Z Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive 2025-07-17T07:12:16.2854772Z than the utility function ``convert_conv3d_weight_memory_format``. Any 2025-07-17T07:12:16.2854978Z layer with 4d weight will be affected by ``model.to``, which does not 2025-07-17T07:12:16.2855214Z necessarily benefit from conversion to specified ``memory_format``. 2025-07-17T07:12:16.2855485Z One place we are confident in is that NDHWC(channels_last_3d) conversion for 2025-07-17T07:12:16.2855704Z convolution in cuDNN, as it is beneficial to run convolution in NDHWC, 2025-07-17T07:12:16.2855917Z even in cases where we have to apply permutation to input tensors. 2025-07-17T07:12:16.2855996Z 2025-07-17T07:12:16.2856232Z Hence our strategy here is to convert only the weight of convolution to 2025-07-17T07:12:16.2856353Z channels_last_3d. This ensures that; 2025-07-17T07:12:16.2856568Z 1. Fast convolution kernels will be used, the benefit of which could 2025-07-17T07:12:16.2856812Z outweigh overhead of permutation (if input is not in the same format). 2025-07-17T07:12:16.2857043Z 2. No unnecessary permutations are applied on layers that do not benefit 2025-07-17T07:12:16.2857181Z from memory_format conversion. 2025-07-17T07:12:16.2857273Z 2025-07-17T07:12:16.2857496Z The optimal case is that, layers between convolution layers are channels 2025-07-17T07:12:16.2857747Z last compatible. Input tensor would be permuted to channels last when it 2025-07-17T07:12:16.2857976Z encounters the first convolution layer and stay in that memory format. 2025-07-17T07:12:16.2858212Z Hence following convolutions will not need to permute its input tensor. 2025-07-17T07:12:16.2858305Z 2025-07-17T07:12:16.2858547Z In case where a channels last incompatible layer is between convolution 2025-07-17T07:12:16.2858757Z layers, we need to permute the input tensor back to contiguous format 2025-07-17T07:12:16.2858990Z for that layer. The input tensor will go through the remaining layers in 2025-07-17T07:12:16.2859287Z contiguous format and be permuted to channels last when it encounters 2025-07-17T07:12:16.2859514Z another convolution layer. There's no point in propagating that 2025-07-17T07:12:16.2859730Z permutation to an earlier layer, as most layers are quite agnostic to 2025-07-17T07:12:16.2859828Z ``memory_format``. 2025-07-17T07:12:16.2859924Z 2025-07-17T07:12:16.2860152Z This claim might change when PyTorch supports fusion of permutation, as 2025-07-17T07:12:16.2860372Z there might have been a better spot to fuse the permutation other than 2025-07-17T07:12:16.2860505Z immediately before a convolution. 2025-07-17T07:12:16.2860584Z 2025-07-17T07:12:16.2860666Z Args: 2025-07-17T07:12:16.2860891Z module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container 2025-07-17T07:12:16.2860993Z ``nn.Module`` 2025-07-17T07:12:16.2861156Z memory_format: user specified ``memory_format``, 2025-07-17T07:12:16.2861332Z e.g. ``torch.channels_last`` or ``torch.contiguous_format`` 2025-07-17T07:12:16.2861413Z 2025-07-17T07:12:16.2861509Z Returns: 2025-07-17T07:12:16.2861651Z The original module with updated ``nn.Conv3d`` 2025-07-17T07:12:16.2861728Z 2025-07-17T07:12:16.2861825Z Example: 2025-07-17T07:12:16.2861958Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-07-17T07:12:16.2862109Z >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG) 2025-07-17T07:12:16.2862228Z >>> input = torch.randint( 2025-07-17T07:12:16.2862408Z ... 1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda" 2025-07-17T07:12:16.2862498Z ... ) 2025-07-17T07:12:16.2862599Z >>> model = nn.Sequential( 2025-07-17T07:12:16.2862710Z >>> nn.Conv3d(8, 4, 3)).cuda().half() 2025-07-17T07:12:16.2862820Z >>> # This is identical to: 2025-07-17T07:12:16.2863069Z >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d) 2025-07-17T07:12:16.2863228Z >>> model = nn.utils.convert_conv3d_weight_memory_format( 2025-07-17T07:12:16.2863377Z ... model, torch.channels_last_3d 2025-07-17T07:12:16.2863455Z ... ) 2025-07-17T07:12:16.2863548Z >>> out = model(input) 2025-07-17T07:12:16.2863637Z 2025-07-17T07:12:16.2863886Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2863973Z 2025-07-17T07:12:16.2864065Z warnings.warn(msg) 2025-07-17T07:12:16.2864143Z 2025-07-17T07:12:16.2864356Z --- Parse Warning: 113 / 136 --- 2025-07-17T07:12:16.2865321Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/parametrize.py line=424. 2025-07-17T07:12:16.2865581Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2865772Z Register a parametrization to a tensor in a module. 2025-07-17T07:12:16.2865853Z 2025-07-17T07:12:16.2866136Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-07-17T07:12:16.2866412Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-07-17T07:12:16.2866674Z If the original tensor requires a gradient, the backward pass will differentiate 2025-07-17T07:12:16.2867003Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-07-17T07:12:16.2867082Z 2025-07-17T07:12:16.2867389Z The first time that a module registers a parametrization, this function will add an attribute 2025-07-17T07:12:16.2867642Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-07-17T07:12:16.2867720Z 2025-07-17T07:12:16.2867980Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-07-17T07:12:16.2868109Z ``module.parametrizations.weight``. 2025-07-17T07:12:16.2868190Z 2025-07-17T07:12:16.2868337Z The original tensor will be accessible under 2025-07-17T07:12:16.2868485Z ``module.parametrizations.weight.original``. 2025-07-17T07:12:16.2868563Z 2025-07-17T07:12:16.2868839Z Parametrizations may be concatenated by registering several parametrizations 2025-07-17T07:12:16.2868938Z on the same attribute. 2025-07-17T07:12:16.2869015Z 2025-07-17T07:12:16.2869268Z The training mode of a registered parametrization is updated on registration 2025-07-17T07:12:16.2869401Z to match the training mode of the host module 2025-07-17T07:12:16.2869788Z 2025-07-17T07:12:16.2870093Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-07-17T07:12:16.2870218Z using the context manager :func:`cached`. 2025-07-17T07:12:16.2870310Z 2025-07-17T07:12:16.2870551Z A :attr:`parametrization` may optionally implement a method with signature 2025-07-17T07:12:16.2870632Z 2025-07-17T07:12:16.2870750Z .. code-block:: python 2025-07-17T07:12:16.2870829Z 2025-07-17T07:12:16.2871042Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-07-17T07:12:16.2871129Z 2025-07-17T07:12:16.2871388Z This method is called on the unparametrized tensor when the first parametrization 2025-07-17T07:12:16.2871695Z is registered to compute the initial value of the original tensor. 2025-07-17T07:12:16.2872005Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-07-17T07:12:16.2872085Z 2025-07-17T07:12:16.2872411Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-07-17T07:12:16.2872697Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-07-17T07:12:16.2872777Z 2025-07-17T07:12:16.2873017Z It is possible for the first parametrization to depend on several inputs. 2025-07-17T07:12:16.2873297Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-07-17T07:12:16.2873542Z (see the example implementation of a ``RankOne`` parametrization below). 2025-07-17T07:12:16.2873619Z 2025-07-17T07:12:16.2873948Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-07-17T07:12:16.2874090Z with names ``original0``, ``original1``,... 2025-07-17T07:12:16.2874169Z 2025-07-17T07:12:16.2874254Z .. note:: 2025-07-17T07:12:16.2874341Z 2025-07-17T07:12:16.2874604Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-07-17T07:12:16.2874750Z once to perform a number of consistency checks. 2025-07-17T07:12:16.2875029Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-07-17T07:12:16.2875183Z and nothing will be called otherwise. 2025-07-17T07:12:16.2875272Z 2025-07-17T07:12:16.2875354Z .. note:: 2025-07-17T07:12:16.2875430Z 2025-07-17T07:12:16.2875643Z In most situations, ``right_inverse`` will be a function such that 2025-07-17T07:12:16.2875761Z ``forward(right_inverse(X)) == X`` (see 2025-07-17T07:12:16.2876042Z `right inverse `_). 2025-07-17T07:12:16.2876336Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-07-17T07:12:16.2876429Z to relax this. 2025-07-17T07:12:16.2876505Z 2025-07-17T07:12:16.2876608Z .. warning:: 2025-07-17T07:12:16.2876683Z 2025-07-17T07:12:16.2876964Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-07-17T07:12:16.2877218Z will register a number of new parameters. If such parametrization is registered 2025-07-17T07:12:16.2877486Z after the optimizer is created, these new parameters will need to be added manually 2025-07-17T07:12:16.2877691Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-07-17T07:12:16.2877768Z 2025-07-17T07:12:16.2877849Z Args: 2025-07-17T07:12:16.2878068Z module (nn.Module): module on which to register the parametrization 2025-07-17T07:12:16.2878280Z tensor_name (str): name of the parameter or buffer on which to register 2025-07-17T07:12:16.2878392Z the parametrization 2025-07-17T07:12:16.2878592Z parametrization (nn.Module): the parametrization to register 2025-07-17T07:12:16.2878679Z Keyword args: 2025-07-17T07:12:16.2878904Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-07-17T07:12:16.2879093Z may change the dtype and shape of the tensor. Default: `False` 2025-07-17T07:12:16.2879357Z Warning: the parametrization is not checked for consistency upon registration. 2025-07-17T07:12:16.2879488Z Enable this flag at your own risk. 2025-07-17T07:12:16.2879565Z 2025-07-17T07:12:16.2879646Z Raises: 2025-07-17T07:12:16.2879939Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-07-17T07:12:16.2880015Z 2025-07-17T07:12:16.2880110Z Examples: 2025-07-17T07:12:16.2880281Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-07-17T07:12:16.2880375Z >>> import torch 2025-07-17T07:12:16.2880488Z >>> import torch.nn as nn 2025-07-17T07:12:16.2880623Z >>> import torch.nn.utils.parametrize as P 2025-07-17T07:12:16.2880703Z >>> 2025-07-17T07:12:16.2880822Z >>> class Symmetric(nn.Module): 2025-07-17T07:12:16.2880922Z >>> def forward(self, X): 2025-07-17T07:12:16.2881096Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-07-17T07:12:16.2881213Z >>> 2025-07-17T07:12:16.2881325Z >>> def right_inverse(self, A): 2025-07-17T07:12:16.2881433Z >>> return A.triu() 2025-07-17T07:12:16.2881512Z >>> 2025-07-17T07:12:16.2881608Z >>> m = nn.Linear(5, 5) 2025-07-17T07:12:16.2881786Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-07-17T07:12:16.2882023Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-07-17T07:12:16.2882106Z True 2025-07-17T07:12:16.2882215Z >>> A = torch.rand(5, 5) 2025-07-17T07:12:16.2882325Z >>> A = A + A.T # A is now symmetric 2025-07-17T07:12:16.2882519Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-07-17T07:12:16.2882654Z >>> print(torch.allclose(m.weight, A)) 2025-07-17T07:12:16.2882737Z True 2025-07-17T07:12:16.2882857Z 2025-07-17T07:12:16.2882960Z >>> class RankOne(nn.Module): 2025-07-17T07:12:16.2883068Z >>> def forward(self, x, y): 2025-07-17T07:12:16.2883224Z >>> # Form a rank 1 matrix multiplying two vectors 2025-07-17T07:12:16.2883357Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-07-17T07:12:16.2883439Z >>> 2025-07-17T07:12:16.2883561Z >>> def right_inverse(self, Z): 2025-07-17T07:12:16.2883680Z >>> # Project Z onto the rank 1 matrices 2025-07-17T07:12:16.2883858Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-07-17T07:12:16.2883988Z >>> # Return rescaled singular vectors 2025-07-17T07:12:16.2884109Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-07-17T07:12:16.2884266Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-07-17T07:12:16.2884343Z >>> 2025-07-17T07:12:16.2884491Z >>> linear_rank_one = P.register_parametrization( 2025-07-17T07:12:16.2884624Z ... nn.Linear(4, 4), "weight", RankOne() 2025-07-17T07:12:16.2884705Z ... ) 2025-07-17T07:12:16.2884901Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-07-17T07:12:16.2884992Z 1 2025-07-17T07:12:16.2885071Z 2025-07-17T07:12:16.2885148Z 2025-07-17T07:12:16.2885421Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2885500Z 2025-07-17T07:12:16.2885611Z warnings.warn(msg) 2025-07-17T07:12:16.2885691Z 2025-07-17T07:12:16.2885913Z --- Parse Warning: 114 / 136 --- 2025-07-17T07:12:16.2886800Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ln_structured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=979. 2025-07-17T07:12:16.2887060Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2887369Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension. 2025-07-17T07:12:16.2887468Z 2025-07-17T07:12:16.2887698Z Prunes tensor corresponding to parameter called ``name`` in ``module`` 2025-07-17T07:12:16.2887926Z by removing the specified ``amount`` of (currently unpruned) channels 2025-07-17T07:12:16.2888100Z along the specified ``dim`` with the lowest L\ ``n``-norm. 2025-07-17T07:12:16.2888341Z Modifies module in place (and also return the modified module) 2025-07-17T07:12:16.2888435Z by: 2025-07-17T07:12:16.2888516Z 2025-07-17T07:12:16.2888720Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-07-17T07:12:16.2888952Z binary mask applied to the parameter ``name`` by the pruning method. 2025-07-17T07:12:16.2889158Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-07-17T07:12:16.2889367Z original (unpruned) parameter is stored in a new parameter named 2025-07-17T07:12:16.2889501Z ``name+'_orig'``. 2025-07-17T07:12:16.2889583Z 2025-07-17T07:12:16.2889678Z Args: 2025-07-17T07:12:16.2889854Z module (nn.Module): module containing the tensor to prune 2025-07-17T07:12:16.2890035Z name (str): parameter name within ``module`` on which pruning 2025-07-17T07:12:16.2890141Z will act. 2025-07-17T07:12:16.2890312Z amount (int or float): quantity of parameters to prune. 2025-07-17T07:12:16.2890488Z If ``float``, should be between 0.0 and 1.0 and represent the 2025-07-17T07:12:16.2890701Z fraction of parameters to prune. If ``int``, it represents the 2025-07-17T07:12:16.2890831Z absolute number of parameters to prune. 2025-07-17T07:12:16.2891036Z n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid 2025-07-17T07:12:16.2891217Z entries for argument ``p`` in :func:`torch.norm`. 2025-07-17T07:12:16.2891410Z dim (int): index of the dim along which we define channels to prune. 2025-07-17T07:12:16.2891658Z importance_scores (torch.Tensor): tensor of importance scores (of same 2025-07-17T07:12:16.2891842Z shape as module parameter) used to compute mask for pruning. 2025-07-17T07:12:16.2892061Z The values in this tensor indicate the importance of the corresponding 2025-07-17T07:12:16.2892234Z elements in the parameter being pruned. 2025-07-17T07:12:16.2892457Z If unspecified or None, the module parameter will be used in its place. 2025-07-17T07:12:16.2892552Z 2025-07-17T07:12:16.2892637Z Returns: 2025-07-17T07:12:16.2892851Z module (nn.Module): modified (i.e. pruned) version of the input module 2025-07-17T07:12:16.2892944Z 2025-07-17T07:12:16.2893030Z Examples: 2025-07-17T07:12:16.2893150Z >>> from torch.nn.utils import prune 2025-07-17T07:12:16.2893272Z >>> m = prune.ln_structured( 2025-07-17T07:12:16.2893450Z ... nn.Conv2d(5, 3, 2), "weight", amount=0.3, dim=1, n=float("-inf") 2025-07-17T07:12:16.2893531Z ... ) 2025-07-17T07:12:16.2893624Z 2025-07-17T07:12:16.2893875Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2893962Z 2025-07-17T07:12:16.2894055Z warnings.warn(msg) 2025-07-17T07:12:16.2894131Z 2025-07-17T07:12:16.2894335Z --- Parse Warning: 115 / 136 --- 2025-07-17T07:12:16.2895239Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=global_unstructured in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1026. 2025-07-17T07:12:16.2895497Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2895588Z 2025-07-17T07:12:16.2896017Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``. 2025-07-17T07:12:16.2896097Z 2025-07-17T07:12:16.2896215Z Modifies modules in place by: 2025-07-17T07:12:16.2896291Z 2025-07-17T07:12:16.2896510Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-07-17T07:12:16.2896725Z binary mask applied to the parameter ``name`` by the pruning method. 2025-07-17T07:12:16.2896966Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-07-17T07:12:16.2897182Z original (unpruned) parameter is stored in a new parameter named 2025-07-17T07:12:16.2897273Z ``name+'_orig'``. 2025-07-17T07:12:16.2897349Z 2025-07-17T07:12:16.2897440Z Args: 2025-07-17T07:12:16.2897637Z parameters (Iterable of (module, name) tuples): parameters of 2025-07-17T07:12:16.2897824Z the model to prune in a global fashion, i.e. by aggregating all 2025-07-17T07:12:16.2898043Z weights prior to deciding which ones to prune. module must be of 2025-07-17T07:12:16.2898218Z type :class:`nn.Module`, and name must be a string. 2025-07-17T07:12:16.2898494Z pruning_method (function): a valid pruning function from this module, 2025-07-17T07:12:16.2898663Z or a custom one implemented by the user that satisfies the 2025-07-17T07:12:16.2898887Z implementation guidelines and has ``PRUNING_TYPE='unstructured'``. 2025-07-17T07:12:16.2899215Z importance_scores (dict): a dictionary mapping (module, name) tuples to 2025-07-17T07:12:16.2899442Z the corresponding parameter's importance scores tensor. The tensor 2025-07-17T07:12:16.2899663Z should be the same shape as the parameter, and is used for computing 2025-07-17T07:12:16.2899759Z mask for pruning. 2025-07-17T07:12:16.2899962Z If unspecified or None, the parameter will be used in place of its 2025-07-17T07:12:16.2900106Z importance scores. 2025-07-17T07:12:16.2900231Z kwargs: other keyword arguments such as: 2025-07-17T07:12:16.2900422Z amount (int or float): quantity of parameters to prune across the 2025-07-17T07:12:16.2900537Z specified parameters. 2025-07-17T07:12:16.2900706Z If ``float``, should be between 0.0 and 1.0 and represent the 2025-07-17T07:12:16.2900902Z fraction of parameters to prune. If ``int``, it represents the 2025-07-17T07:12:16.2901043Z absolute number of parameters to prune. 2025-07-17T07:12:16.2901148Z 2025-07-17T07:12:16.2901240Z Raises: 2025-07-17T07:12:16.2901386Z TypeError: if ``PRUNING_TYPE != 'unstructured'`` 2025-07-17T07:12:16.2901464Z 2025-07-17T07:12:16.2901555Z Note: 2025-07-17T07:12:16.2901764Z Since global structured pruning doesn't make much sense unless the 2025-07-17T07:12:16.2901959Z norm is normalized by the size of the parameter, we now limit the 2025-07-17T07:12:16.2902117Z scope of global pruning to unstructured methods. 2025-07-17T07:12:16.2902197Z 2025-07-17T07:12:16.2902280Z Examples: 2025-07-17T07:12:16.2902409Z >>> from torch.nn.utils import prune 2025-07-17T07:12:16.2902528Z >>> from collections import OrderedDict 2025-07-17T07:12:16.2902639Z >>> net = nn.Sequential( 2025-07-17T07:12:16.2902731Z ... OrderedDict( 2025-07-17T07:12:16.2902813Z ... [ 2025-07-17T07:12:16.2902945Z ... ("first", nn.Linear(10, 4)), 2025-07-17T07:12:16.2903062Z ... ("second", nn.Linear(4, 1)), 2025-07-17T07:12:16.2903144Z ... ] 2025-07-17T07:12:16.2903237Z ... ) 2025-07-17T07:12:16.2903319Z ... ) 2025-07-17T07:12:16.2903423Z >>> parameters_to_prune = ( 2025-07-17T07:12:16.2903534Z ... (net.first, "weight"), 2025-07-17T07:12:16.2903633Z ... (net.second, "weight"), 2025-07-17T07:12:16.2903712Z ... ) 2025-07-17T07:12:16.2903833Z >>> prune.global_unstructured( 2025-07-17T07:12:16.2903933Z ... parameters_to_prune, 2025-07-17T07:12:16.2904071Z ... pruning_method=prune.L1Unstructured, 2025-07-17T07:12:16.2904162Z ... amount=10, 2025-07-17T07:12:16.2904241Z ... ) 2025-07-17T07:12:16.2904468Z >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0)) 2025-07-17T07:12:16.2904554Z tensor(10) 2025-07-17T07:12:16.2904630Z 2025-07-17T07:12:16.2904763Z 2025-07-17T07:12:16.2905015Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2905090Z 2025-07-17T07:12:16.2905195Z warnings.warn(msg) 2025-07-17T07:12:16.2905270Z 2025-07-17T07:12:16.2905472Z --- Parse Warning: 116 / 136 --- 2025-07-17T07:12:16.2906372Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=custom_from_mask in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/prune.py line=1149. 2025-07-17T07:12:16.2906667Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2907071Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``. 2025-07-17T07:12:16.2907149Z 2025-07-17T07:12:16.2907356Z Modifies module in place (and also return the modified module) by: 2025-07-17T07:12:16.2907446Z 2025-07-17T07:12:16.2907654Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the 2025-07-17T07:12:16.2907867Z binary mask applied to the parameter ``name`` by the pruning method. 2025-07-17T07:12:16.2908085Z 2) replacing the parameter ``name`` by its pruned version, while the 2025-07-17T07:12:16.2908287Z original (unpruned) parameter is stored in a new parameter named 2025-07-17T07:12:16.2908392Z ``name+'_orig'``. 2025-07-17T07:12:16.2908496Z 2025-07-17T07:12:16.2908576Z Args: 2025-07-17T07:12:16.2908761Z module (nn.Module): module containing the tensor to prune 2025-07-17T07:12:16.2908940Z name (str): parameter name within ``module`` on which pruning 2025-07-17T07:12:16.2909026Z will act. 2025-07-17T07:12:16.2909210Z mask (Tensor): binary mask to be applied to the parameter. 2025-07-17T07:12:16.2909287Z 2025-07-17T07:12:16.2909366Z Returns: 2025-07-17T07:12:16.2909617Z module (nn.Module): modified (i.e. pruned) version of the input module 2025-07-17T07:12:16.2909696Z 2025-07-17T07:12:16.2909790Z Examples: 2025-07-17T07:12:16.2909908Z >>> from torch.nn.utils import prune 2025-07-17T07:12:16.2910016Z >>> m = prune.custom_from_mask( 2025-07-17T07:12:16.2910193Z ... nn.Linear(5, 3), name="bias", mask=torch.tensor([0, 1, 0]) 2025-07-17T07:12:16.2910273Z ... ) 2025-07-17T07:12:16.2910371Z >>> print(m.bias_mask) 2025-07-17T07:12:16.2910477Z tensor([0., 1., 0.]) 2025-07-17T07:12:16.2910554Z 2025-07-17T07:12:16.2910632Z 2025-07-17T07:12:16.2910890Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2910966Z 2025-07-17T07:12:16.2911060Z warnings.warn(msg) 2025-07-17T07:12:16.2911148Z 2025-07-17T07:12:16.2911334Z --- Parse Warning: 117 / 136 --- 2025-07-17T07:12:16.2912237Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=pad_packed_sequence in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/rnn.py line=342. 2025-07-17T07:12:16.2912495Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2912639Z Pad a packed batch of variable length sequences. 2025-07-17T07:12:16.2912732Z 2025-07-17T07:12:16.2912904Z It is an inverse operation to :func:`pack_padded_sequence`. 2025-07-17T07:12:16.2912985Z 2025-07-17T07:12:16.2913275Z The returned Tensor's data will be of size ``T x B x *`` (if :attr:`batch_first` is ``False``) 2025-07-17T07:12:16.2913512Z or ``B x T x *`` (if :attr:`batch_first` is ``True``) , where ``T`` is the length of the longest 2025-07-17T07:12:16.2913642Z sequence and ``B`` is the batch size. 2025-07-17T07:12:16.2913721Z 2025-07-17T07:12:16.2913803Z Example: 2025-07-17T07:12:16.2914089Z >>> from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence 2025-07-17T07:12:16.2914233Z >>> seq = torch.tensor([[1, 2, 0], [3, 0, 0], [4, 5, 6]]) 2025-07-17T07:12:16.2914327Z >>> lens = [2, 1, 3] 2025-07-17T07:12:16.2914453Z >>> packed = pack_padded_sequence( 2025-07-17T07:12:16.2914600Z ... seq, lens, batch_first=True, enforce_sorted=False 2025-07-17T07:12:16.2914692Z ... ) 2025-07-17T07:12:16.2914776Z >>> packed 2025-07-17T07:12:16.2915039Z PackedSequence(data=tensor([4, 1, 3, 5, 2, 6]), batch_sizes=tensor([3, 2, 1]), 2025-07-17T07:12:16.2915261Z sorted_indices=tensor([2, 0, 1]), unsorted_indices=tensor([1, 2, 0])) 2025-07-17T07:12:16.2915505Z >>> seq_unpacked, lens_unpacked = pad_packed_sequence(packed, batch_first=True) 2025-07-17T07:12:16.2915597Z >>> seq_unpacked 2025-07-17T07:12:16.2915699Z tensor([[1, 2, 0], 2025-07-17T07:12:16.2915786Z [3, 0, 0], 2025-07-17T07:12:16.2915874Z [4, 5, 6]]) 2025-07-17T07:12:16.2915978Z >>> lens_unpacked 2025-07-17T07:12:16.2916068Z tensor([2, 1, 3]) 2025-07-17T07:12:16.2916155Z 2025-07-17T07:12:16.2916241Z .. note:: 2025-07-17T07:12:16.2916385Z :attr:`total_length` is useful to implement the 2025-07-17T07:12:16.2916616Z ``pack sequence -> recurrent network -> unpack sequence`` pattern in a 2025-07-17T07:12:16.2916858Z :class:`~torch.nn.Module` wrapped in :class:`~torch.nn.DataParallel`. 2025-07-17T07:12:16.2917088Z See :ref:`this FAQ section ` for 2025-07-17T07:12:16.2917187Z details. 2025-07-17T07:12:16.2917265Z 2025-07-17T07:12:16.2917346Z Args: 2025-07-17T07:12:16.2917488Z sequence (PackedSequence): batch to pad 2025-07-17T07:12:16.2917723Z batch_first (bool, optional): if ``True``, the output will be in ``B x T x *`` 2025-07-17T07:12:16.2917914Z format, ``T x B x *`` otherwise. 2025-07-17T07:12:16.2918100Z padding_value (float, optional): values for padded elements. 2025-07-17T07:12:16.2918329Z total_length (int, optional): if not ``None``, the output will be padded to 2025-07-17T07:12:16.2918581Z have length :attr:`total_length`. This method will throw :class:`ValueError` 2025-07-17T07:12:16.2918767Z if :attr:`total_length` is less than the max sequence length in 2025-07-17T07:12:16.2918867Z :attr:`sequence`. 2025-07-17T07:12:16.2918960Z 2025-07-17T07:12:16.2919044Z Returns: 2025-07-17T07:12:16.2919244Z Tuple of Tensor containing the padded sequence, and a Tensor 2025-07-17T07:12:16.2919438Z containing the list of lengths of each sequence in the batch. 2025-07-17T07:12:16.2919661Z Batch elements will be re-ordered as they were ordered originally when 2025-07-17T07:12:16.2919892Z the batch was passed to ``pack_padded_sequence`` or ``pack_sequence``. 2025-07-17T07:12:16.2919975Z 2025-07-17T07:12:16.2920225Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2920319Z 2025-07-17T07:12:16.2920416Z warnings.warn(msg) 2025-07-17T07:12:16.2920494Z 2025-07-17T07:12:16.2920699Z --- Parse Warning: 118 / 136 --- 2025-07-17T07:12:16.2921602Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SequentialLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=808. 2025-07-17T07:12:16.2921878Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2922201Z Contains a list of schedulers expected to be called sequentially during the optimization process. 2025-07-17T07:12:16.2922282Z 2025-07-17T07:12:16.2922691Z Specifically, the schedulers will be called according to the milestone points, which should provide exact 2025-07-17T07:12:16.2922906Z intervals by which each scheduler should be called at a given epoch. 2025-07-17T07:12:16.2922986Z 2025-07-17T07:12:16.2923082Z Args: 2025-07-17T07:12:16.2923222Z optimizer (Optimizer): Wrapped optimizer. 2025-07-17T07:12:16.2923378Z schedulers (list): List of chained schedulers. 2025-07-17T07:12:16.2923594Z milestones (list): List of integers that reflects milestone points. 2025-07-17T07:12:16.2923780Z last_epoch (int): The index of last epoch. Default: -1. 2025-07-17T07:12:16.2923871Z 2025-07-17T07:12:16.2923956Z Example: 2025-07-17T07:12:16.2924053Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2924212Z >>> # Assuming optimizer uses lr = 0.05 for all groups 2025-07-17T07:12:16.2924317Z >>> # lr = 0.005 if epoch == 0 2025-07-17T07:12:16.2924420Z >>> # lr = 0.005 if epoch == 1 2025-07-17T07:12:16.2924535Z >>> # lr = 0.005 if epoch == 2 2025-07-17T07:12:16.2924616Z >>> # ... 2025-07-17T07:12:16.2924730Z >>> # lr = 0.05 if epoch == 20 2025-07-17T07:12:16.2924830Z >>> # lr = 0.045 if epoch == 21 2025-07-17T07:12:16.2924929Z >>> # lr = 0.0405 if epoch == 22 2025-07-17T07:12:16.2925137Z >>> scheduler1 = ConstantLR(optimizer, factor=0.1, total_iters=20) 2025-07-17T07:12:16.2925317Z >>> scheduler2 = ExponentialLR(optimizer, gamma=0.9) 2025-07-17T07:12:16.2925424Z >>> scheduler = SequentialLR( 2025-07-17T07:12:16.2925526Z ... optimizer, 2025-07-17T07:12:16.2925656Z ... schedulers=[scheduler1, scheduler2], 2025-07-17T07:12:16.2925751Z ... milestones=[20], 2025-07-17T07:12:16.2925844Z ... ) 2025-07-17T07:12:16.2925946Z >>> for epoch in range(100): 2025-07-17T07:12:16.2926047Z >>> train(...) 2025-07-17T07:12:16.2926165Z >>> validate(...) 2025-07-17T07:12:16.2926265Z >>> scheduler.step() 2025-07-17T07:12:16.2926354Z 2025-07-17T07:12:16.2926529Z .. image:: ../scripts/lr_scheduler_images/SequentialLR.png 2025-07-17T07:12:16.2926609Z 2025-07-17T07:12:16.2926869Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2926949Z 2025-07-17T07:12:16.2927046Z warnings.warn(msg) 2025-07-17T07:12:16.2927140Z 2025-07-17T07:12:16.2927329Z --- Parse Warning: 119 / 136 --- 2025-07-17T07:12:16.2928267Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1233. 2025-07-17T07:12:16.2928511Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-07-17T07:12:16.2928693Z Reduce learning rate when a metric has stopped improving. 2025-07-17T07:12:16.2928785Z 2025-07-17T07:12:16.2928983Z Models often benefit from reducing the learning rate by a factor 2025-07-17T07:12:16.2929167Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-07-17T07:12:16.2929369Z quantity and if no improvement is seen for a 'patience' number 2025-07-17T07:12:16.2929489Z of epochs, the learning rate is reduced. 2025-07-17T07:12:16.2929579Z 2025-07-17T07:12:16.2929661Z Args: 2025-07-17T07:12:16.2929793Z optimizer (Optimizer): Wrapped optimizer. 2025-07-17T07:12:16.2929956Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-07-17T07:12:16.2930111Z be reduced when the quantity monitored has stopped 2025-07-17T07:12:16.2930268Z decreasing; in `max` mode it will be reduced when the 2025-07-17T07:12:16.2930495Z quantity monitored has stopped increasing. Default: 'min'. 2025-07-17T07:12:16.2930664Z factor (float): Factor by which the learning rate will be 2025-07-17T07:12:16.2930800Z reduced. new_lr = lr * factor. Default: 0.1. 2025-07-17T07:12:16.2931025Z patience (int): The number of allowed epochs with no improvement after 2025-07-17T07:12:16.2931152Z which the learning rate will be reduced. 2025-07-17T07:12:16.2931388Z For example, consider the case of having no patience (`patience = 0`). 2025-07-17T07:12:16.2931777Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-07-17T07:12:16.2931981Z In the second epoch, if the performance is worse than the baseline, 2025-07-17T07:12:16.2932141Z we have what is considered an intolerable epoch. 2025-07-17T07:12:16.2932402Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-07-17T07:12:16.2932581Z the learning rate is reduced at the end of this epoch. 2025-07-17T07:12:16.2932899Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-07-17T07:12:16.2933215Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-07-17T07:12:16.2933346Z the learning rate is not adjusted. 2025-07-17T07:12:16.2933468Z Default: 10. 2025-07-17T07:12:16.2933656Z threshold (float): Threshold for measuring the new optimum, 2025-07-17T07:12:16.2933827Z to only focus on significant changes. Default: 1e-4. 2025-07-17T07:12:16.2933999Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-07-17T07:12:16.2934168Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-07-17T07:12:16.2934308Z mode or best * ( 1 - threshold ) in `min` mode. 2025-07-17T07:12:16.2934488Z In `abs` mode, dynamic_threshold = best + threshold in 2025-07-17T07:12:16.2934676Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-07-17T07:12:16.2934842Z cooldown (int): Number of epochs to wait before resuming 2025-07-17T07:12:16.2935011Z normal operation after lr has been reduced. Default: 0. 2025-07-17T07:12:16.2935181Z min_lr (float or list): A scalar or a list of scalars. A 2025-07-17T07:12:16.2935338Z lower bound on the learning rate of all param groups 2025-07-17T07:12:16.2935481Z or each group respectively. Default: 0. 2025-07-17T07:12:16.2935651Z eps (float): Minimal decay applied to lr. If the difference 2025-07-17T07:12:16.2935825Z between new and old lr is smaller than eps, the update is 2025-07-17T07:12:16.2935941Z ignored. Default: 1e-8. 2025-07-17T07:12:16.2936019Z 2025-07-17T07:12:16.2936100Z Example: 2025-07-17T07:12:16.2936213Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2936437Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-07-17T07:12:16.2936601Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-07-17T07:12:16.2936700Z >>> for epoch in range(10): 2025-07-17T07:12:16.2936794Z >>> train(...) 2025-07-17T07:12:16.2936912Z >>> val_loss = validate(...) 2025-07-17T07:12:16.2937062Z >>> # Note that step should be called after validate() 2025-07-17T07:12:16.2937172Z >>> scheduler.step(val_loss) 2025-07-17T07:12:16.2937261Z 2025-07-17T07:12:16.2937449Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-07-17T07:12:16.2937527Z 2025-07-17T07:12:16.2937945Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-07-17T07:12:16.2938022Z 2025-07-17T07:12:16.2938167Z scheduler.step(val_loss) 2025-07-17T07:12:16.2938247Z ^ 2025-07-17T07:12:16.2938340Z warnings.warn(msg) 2025-07-17T07:12:16.2938428Z 2025-07-17T07:12:16.2938617Z --- Parse Warning: 120 / 136 --- 2025-07-17T07:12:16.2939566Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CyclicLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1430. 2025-07-17T07:12:16.2939876Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2940198Z Sets the learning rate of each parameter group according to cyclical learning rate policy (CLR). 2025-07-17T07:12:16.2940278Z 2025-07-17T07:12:16.2940572Z The policy cycles the learning rate between two boundaries with a constant frequency, 2025-07-17T07:12:16.2940825Z as detailed in the paper `Cyclical Learning Rates for Training Neural Networks`_. 2025-07-17T07:12:16.2941069Z The distance between the two boundaries can be scaled on a per-iteration 2025-07-17T07:12:16.2941164Z or per-cycle basis. 2025-07-17T07:12:16.2941241Z 2025-07-17T07:12:16.2941491Z Cyclical learning rate policy changes the learning rate after every batch. 2025-07-17T07:12:16.2941682Z `step` should be called after a batch has been used for training. 2025-07-17T07:12:16.2941760Z 2025-07-17T07:12:16.2941999Z This class has three built-in policies, as put forth in the paper: 2025-07-17T07:12:16.2942078Z 2025-07-17T07:12:16.2942291Z * "triangular": A basic triangular cycle without amplitude scaling. 2025-07-17T07:12:16.2942585Z * "triangular2": A basic triangular cycle that scales initial amplitude by half each cycle. 2025-07-17T07:12:16.2942901Z * "exp_range": A cycle that scales initial amplitude by :math:`\text{gamma}^{\text{cycle iterations}}` 2025-07-17T07:12:16.2943014Z at each cycle iteration. 2025-07-17T07:12:16.2943095Z 2025-07-17T07:12:16.2943357Z This implementation was adapted from the github repo: `bckenstler/CLR`_ 2025-07-17T07:12:16.2943447Z 2025-07-17T07:12:16.2943528Z Args: 2025-07-17T07:12:16.2943663Z optimizer (Optimizer): Wrapped optimizer. 2025-07-17T07:12:16.2943845Z base_lr (float or list): Initial learning rate which is the 2025-07-17T07:12:16.2944011Z lower boundary in the cycle for each parameter group. 2025-07-17T07:12:16.2944221Z max_lr (float or list): Upper learning rate boundaries in the cycle 2025-07-17T07:12:16.2944351Z for each parameter group. Functionally, 2025-07-17T07:12:16.2944505Z it defines the cycle amplitude (max_lr - base_lr). 2025-07-17T07:12:16.2944644Z The lr at any cycle is the sum of base_lr 2025-07-17T07:12:16.2944783Z and some scaling of the amplitude; therefore 2025-07-17T07:12:16.2944931Z max_lr may not actually be reached depending on 2025-07-17T07:12:16.2945048Z scaling function. 2025-07-17T07:12:16.2945213Z step_size_up (int): Number of training iterations in the 2025-07-17T07:12:16.2945356Z increasing half of a cycle. Default: 2000 2025-07-17T07:12:16.2945529Z step_size_down (int): Number of training iterations in the 2025-07-17T07:12:16.2945696Z decreasing half of a cycle. If step_size_down is None, 2025-07-17T07:12:16.2945837Z it is set to step_size_up. Default: None 2025-07-17T07:12:16.2946001Z mode (str): One of {triangular, triangular2, exp_range}. 2025-07-17T07:12:16.2946144Z Values correspond to policies detailed above. 2025-07-17T07:12:16.2946303Z If scale_fn is not None, this argument is ignored. 2025-07-17T07:12:16.2946405Z Default: 'triangular' 2025-07-17T07:12:16.2946579Z gamma (float): Constant in 'exp_range' scaling function: 2025-07-17T07:12:16.2946714Z gamma**(cycle iterations) 2025-07-17T07:12:16.2946806Z Default: 1.0 2025-07-17T07:12:16.2947003Z scale_fn (function): Custom scaling policy defined by a single 2025-07-17T07:12:16.2947119Z argument lambda function, where 2025-07-17T07:12:16.2947232Z 0 <= scale_fn(x) <= 1 for all x >= 0. 2025-07-17T07:12:16.2947360Z If specified, then 'mode' is ignored. 2025-07-17T07:12:16.2947455Z Default: None 2025-07-17T07:12:16.2947604Z scale_mode (str): {'cycle', 'iterations'}. 2025-07-17T07:12:16.2947743Z Defines whether scale_fn is evaluated on 2025-07-17T07:12:16.2947873Z cycle number or cycle iterations (training 2025-07-17T07:12:16.2947998Z iterations since start of cycle). 2025-07-17T07:12:16.2948102Z Default: 'cycle' 2025-07-17T07:12:16.2948298Z cycle_momentum (bool): If ``True``, momentum is cycled inversely 2025-07-17T07:12:16.2948496Z to learning rate between 'base_momentum' and 'max_momentum'. 2025-07-17T07:12:16.2948590Z Default: True 2025-07-17T07:12:16.2948805Z base_momentum (float or list): Lower momentum boundaries in the cycle 2025-07-17T07:12:16.2949021Z for each parameter group. Note that momentum is cycled inversely 2025-07-17T07:12:16.2949183Z to learning rate; at the peak of a cycle, momentum is 2025-07-17T07:12:16.2949376Z 'base_momentum' and learning rate is 'max_lr'. 2025-07-17T07:12:16.2949469Z Default: 0.8 2025-07-17T07:12:16.2949680Z max_momentum (float or list): Upper momentum boundaries in the cycle 2025-07-17T07:12:16.2949824Z for each parameter group. Functionally, 2025-07-17T07:12:16.2950014Z it defines the cycle amplitude (max_momentum - base_momentum). 2025-07-17T07:12:16.2950196Z The momentum at any cycle is the difference of max_momentum 2025-07-17T07:12:16.2950374Z and some scaling of the amplitude; therefore 2025-07-17T07:12:16.2950544Z base_momentum may not actually be reached depending on 2025-07-17T07:12:16.2950734Z scaling function. Note that momentum is cycled inversely 2025-07-17T07:12:16.2950943Z to learning rate; at the start of a cycle, momentum is 'max_momentum' 2025-07-17T07:12:16.2951059Z and learning rate is 'base_lr' 2025-07-17T07:12:16.2951168Z Default: 0.9 2025-07-17T07:12:16.2951389Z last_epoch (int): The index of the last batch. This parameter is used when 2025-07-17T07:12:16.2951606Z resuming a training job. Since `step()` should be invoked after each 2025-07-17T07:12:16.2951835Z batch instead of after each epoch, this number represents the total 2025-07-17T07:12:16.2952055Z number of *batches* computed, not the total number of epochs computed. 2025-07-17T07:12:16.2952261Z When last_epoch=-1, the schedule is started from the beginning. 2025-07-17T07:12:16.2952355Z Default: -1 2025-07-17T07:12:16.2952435Z 2025-07-17T07:12:16.2952534Z Example: 2025-07-17T07:12:16.2952631Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2952855Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-07-17T07:12:16.2953022Z >>> scheduler = torch.optim.lr_scheduler.CyclicLR( 2025-07-17T07:12:16.2953117Z ... optimizer, 2025-07-17T07:12:16.2953209Z ... base_lr=0.01, 2025-07-17T07:12:16.2953310Z ... max_lr=0.1, 2025-07-17T07:12:16.2953405Z ... step_size_up=10, 2025-07-17T07:12:16.2953501Z ... ) 2025-07-17T07:12:16.2953651Z >>> data_loader = torch.utils.data.DataLoader(...) 2025-07-17T07:12:16.2953751Z >>> for epoch in range(10): 2025-07-17T07:12:16.2953898Z >>> for batch in data_loader: 2025-07-17T07:12:16.2954001Z >>> train_batch(...) 2025-07-17T07:12:16.2954101Z >>> scheduler.step() 2025-07-17T07:12:16.2954191Z 2025-07-17T07:12:16.2954346Z .. image:: ../scripts/lr_scheduler_images/CyclicLR.png 2025-07-17T07:12:16.2954427Z 2025-07-17T07:12:16.2954740Z .. _Cyclical Learning Rates for Training Neural Networks: https://arxiv.org/abs/1506.01186 2025-07-17T07:12:16.2954901Z .. _bckenstler/CLR: https://github.com/bckenstler/CLR 2025-07-17T07:12:16.2955017Z 2025-07-17T07:12:16.2955265Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2955342Z 2025-07-17T07:12:16.2955446Z warnings.warn(msg) 2025-07-17T07:12:16.2955522Z 2025-07-17T07:12:16.2955733Z --- Parse Warning: 121 / 136 --- 2025-07-17T07:12:16.2956742Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CosineAnnealingWarmRestarts in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1713. 2025-07-17T07:12:16.2957001Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2957260Z Set the learning rate of each parameter group using a cosine annealing schedule. 2025-07-17T07:12:16.2957337Z 2025-07-17T07:12:16.2957511Z The :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}` 2025-07-17T07:12:16.2957787Z is the number of epochs since the last restart and :math:`T_{i}` is the number 2025-07-17T07:12:16.2957920Z of epochs between two warm restarts in SGDR: 2025-07-17T07:12:16.2957998Z 2025-07-17T07:12:16.2958092Z .. math:: 2025-07-17T07:12:16.2958263Z \eta_t = \eta_{min} + \frac{1}{2}(\eta_{max} - \eta_{min})\left(1 + 2025-07-17T07:12:16.2958401Z \cos\left(\frac{T_{cur}}{T_{i}}\pi\right)\right) 2025-07-17T07:12:16.2958491Z 2025-07-17T07:12:16.2958680Z When :math:`T_{cur}=T_{i}`, set :math:`\eta_t = \eta_{min}`. 2025-07-17T07:12:16.2958877Z When :math:`T_{cur}=0` after restart, set :math:`\eta_t=\eta_{max}`. 2025-07-17T07:12:16.2958956Z 2025-07-17T07:12:16.2959057Z It has been proposed in 2025-07-17T07:12:16.2959239Z `SGDR: Stochastic Gradient Descent with Warm Restarts`_. 2025-07-17T07:12:16.2959316Z 2025-07-17T07:12:16.2959400Z Args: 2025-07-17T07:12:16.2959548Z optimizer (Optimizer): Wrapped optimizer. 2025-07-17T07:12:16.2959708Z T_0 (int): Number of iterations until the first restart. 2025-07-17T07:12:16.2959987Z T_mult (int, optional): A factor by which :math:`T_{i}` increases after a restart. Default: 1. 2025-07-17T07:12:16.2960181Z eta_min (float, optional): Minimum learning rate. Default: 0. 2025-07-17T07:12:16.2960392Z last_epoch (int, optional): The index of the last epoch. Default: -1. 2025-07-17T07:12:16.2960484Z 2025-07-17T07:12:16.2960653Z .. _SGDR\: Stochastic Gradient Descent with Warm Restarts: 2025-07-17T07:12:16.2960771Z https://arxiv.org/abs/1608.03983 2025-07-17T07:12:16.2960861Z 2025-07-17T07:12:16.2960943Z Example: 2025-07-17T07:12:16.2961037Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2961230Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.05) 2025-07-17T07:12:16.2961459Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts( 2025-07-17T07:12:16.2961558Z ... optimizer, T_0=20 2025-07-17T07:12:16.2961652Z ... ) 2025-07-17T07:12:16.2961753Z >>> for epoch in range(100): 2025-07-17T07:12:16.2961858Z >>> train(...) 2025-07-17T07:12:16.2961952Z >>> validate(...) 2025-07-17T07:12:16.2962050Z >>> scheduler.step() 2025-07-17T07:12:16.2962138Z 2025-07-17T07:12:16.2962394Z .. image:: ../scripts/lr_scheduler_images/CosineAnnealingWarmRestarts.png 2025-07-17T07:12:16.2962476Z 2025-07-17T07:12:16.2962738Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2962817Z 2025-07-17T07:12:16.2962914Z warnings.warn(msg) 2025-07-17T07:12:16.2963003Z 2025-07-17T07:12:16.2963192Z --- Parse Warning: 122 / 136 --- 2025-07-17T07:12:16.2964088Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=OneCycleLR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/lr_scheduler.py line=1863. 2025-07-17T07:12:16.2964378Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2964677Z Sets the learning rate of each parameter group according to the 1cycle learning rate policy. 2025-07-17T07:12:16.2964769Z 2025-07-17T07:12:16.2965061Z The 1cycle policy anneals the learning rate from an initial learning rate to some maximum 2025-07-17T07:12:16.2965351Z learning rate and then from that maximum learning rate to some minimum learning rate much 2025-07-17T07:12:16.2965483Z lower than the initial learning rate. 2025-07-17T07:12:16.2965705Z This policy was initially described in the paper `Super-Convergence: 2025-07-17T07:12:16.2965928Z Very Fast Training of Neural Networks Using Large Learning Rates`_. 2025-07-17T07:12:16.2966032Z 2025-07-17T07:12:16.2966275Z The 1cycle learning rate policy changes the learning rate after every batch. 2025-07-17T07:12:16.2966479Z `step` should be called after a batch has been used for training. 2025-07-17T07:12:16.2966555Z 2025-07-17T07:12:16.2966663Z This scheduler is not chainable. 2025-07-17T07:12:16.2966753Z 2025-07-17T07:12:16.2966988Z Note also that the total number of steps in the cycle can be determined in one 2025-07-17T07:12:16.2967132Z of two ways (listed in order of precedence): 2025-07-17T07:12:16.2967210Z 2025-07-17T07:12:16.2967379Z #. A value for total_steps is explicitly provided. 2025-07-17T07:12:16.2967571Z #. A number of epochs (epochs) and a number of steps per epoch 2025-07-17T07:12:16.2967680Z (steps_per_epoch) are provided. 2025-07-17T07:12:16.2967836Z In this case, the number of total steps is inferred by 2025-07-17T07:12:16.2967966Z total_steps = epochs * steps_per_epoch 2025-07-17T07:12:16.2968044Z 2025-07-17T07:12:16.2968276Z You must either provide a value for total_steps or provide a value for both 2025-07-17T07:12:16.2968394Z epochs and steps_per_epoch. 2025-07-17T07:12:16.2968469Z 2025-07-17T07:12:16.2968778Z The default behaviour of this scheduler follows the fastai implementation of 1cycle, which 2025-07-17T07:12:16.2969064Z claims that "unpublished work has shown even better results by using only two phases". To 2025-07-17T07:12:16.2969304Z mimic the behaviour of the original paper instead, set ``three_phase=True``. 2025-07-17T07:12:16.2969395Z 2025-07-17T07:12:16.2969710Z Args: 2025-07-17T07:12:16.2969845Z optimizer (Optimizer): Wrapped optimizer. 2025-07-17T07:12:16.2970052Z max_lr (float or list): Upper learning rate boundaries in the cycle 2025-07-17T07:12:16.2970162Z for each parameter group. 2025-07-17T07:12:16.2970365Z total_steps (int): The total number of steps in the cycle. Note that 2025-07-17T07:12:16.2970588Z if a value is not provided here, then it must be inferred by providing 2025-07-17T07:12:16.2970714Z a value for epochs and steps_per_epoch. 2025-07-17T07:12:16.2970825Z Default: None 2025-07-17T07:12:16.2971024Z epochs (int): The number of epochs to train for. This is used along 2025-07-17T07:12:16.2971264Z with steps_per_epoch in order to infer the total number of steps in the cycle 2025-07-17T07:12:16.2971486Z if a value for total_steps is not provided. 2025-07-17T07:12:16.2971582Z Default: None 2025-07-17T07:12:16.2971803Z steps_per_epoch (int): The number of steps per epoch to train for. This is 2025-07-17T07:12:16.2972042Z used along with epochs in order to infer the total number of steps in the 2025-07-17T07:12:16.2972189Z cycle if a value for total_steps is not provided. 2025-07-17T07:12:16.2972294Z Default: None 2025-07-17T07:12:16.2972556Z pct_start (float): The percentage of the cycle (in number of steps) spent 2025-07-17T07:12:16.2972670Z increasing the learning rate. 2025-07-17T07:12:16.2972775Z Default: 0.3 2025-07-17T07:12:16.2972896Z anneal_strategy (str): {'cos', 'linear'} 2025-07-17T07:12:16.2973140Z Specifies the annealing strategy: "cos" for cosine annealing, "linear" for 2025-07-17T07:12:16.2973248Z linear annealing. 2025-07-17T07:12:16.2973345Z Default: 'cos' 2025-07-17T07:12:16.2973555Z cycle_momentum (bool): If ``True``, momentum is cycled inversely 2025-07-17T07:12:16.2973739Z to learning rate between 'base_momentum' and 'max_momentum'. 2025-07-17T07:12:16.2973830Z Default: True 2025-07-17T07:12:16.2974053Z base_momentum (float or list): Lower momentum boundaries in the cycle 2025-07-17T07:12:16.2974288Z for each parameter group. Note that momentum is cycled inversely 2025-07-17T07:12:16.2974453Z to learning rate; at the peak of a cycle, momentum is 2025-07-17T07:12:16.2974605Z 'base_momentum' and learning rate is 'max_lr'. 2025-07-17T07:12:16.2974698Z Default: 0.85 2025-07-17T07:12:16.2974918Z max_momentum (float or list): Upper momentum boundaries in the cycle 2025-07-17T07:12:16.2975047Z for each parameter group. Functionally, 2025-07-17T07:12:16.2975287Z it defines the cycle amplitude (max_momentum - base_momentum). 2025-07-17T07:12:16.2975425Z Note that momentum is cycled inversely 2025-07-17T07:12:16.2975630Z to learning rate; at the start of a cycle, momentum is 'max_momentum' 2025-07-17T07:12:16.2975742Z and learning rate is 'base_lr' 2025-07-17T07:12:16.2975851Z Default: 0.95 2025-07-17T07:12:16.2976032Z div_factor (float): Determines the initial learning rate via 2025-07-17T07:12:16.2976145Z initial_lr = max_lr/div_factor 2025-07-17T07:12:16.2976247Z Default: 25 2025-07-17T07:12:16.2976449Z final_div_factor (float): Determines the minimum learning rate via 2025-07-17T07:12:16.2976583Z min_lr = initial_lr/final_div_factor 2025-07-17T07:12:16.2976674Z Default: 1e4 2025-07-17T07:12:16.2976915Z three_phase (bool): If ``True``, use a third phase of the schedule to annihilate the 2025-07-17T07:12:16.2977181Z learning rate according to 'final_div_factor' instead of modifying the second 2025-07-17T07:12:16.2977416Z phase (the first two phases will be symmetrical about the step indicated by 2025-07-17T07:12:16.2977508Z 'pct_start'). 2025-07-17T07:12:16.2982828Z last_epoch (int): The index of the last batch. This parameter is used when 2025-07-17T07:12:16.2983081Z resuming a training job. Since `step()` should be invoked after each 2025-07-17T07:12:16.2983326Z batch instead of after each epoch, this number represents the total 2025-07-17T07:12:16.2983550Z number of *batches* computed, not the total number of epochs computed. 2025-07-17T07:12:16.2983743Z When last_epoch=-1, the schedule is started from the beginning. 2025-07-17T07:12:16.2983853Z Default: -1 2025-07-17T07:12:16.2983933Z 2025-07-17T07:12:16.2984018Z Example: 2025-07-17T07:12:16.2984208Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2984366Z >>> data_loader = torch.utils.data.DataLoader(...) 2025-07-17T07:12:16.2984598Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momentum=0.9) 2025-07-17T07:12:16.2984770Z >>> scheduler = torch.optim.lr_scheduler.OneCycleLR( 2025-07-17T07:12:16.2984979Z ... optimizer, max_lr=0.01, steps_per_epoch=len(data_loader), epochs=10 2025-07-17T07:12:16.2985081Z ... ) 2025-07-17T07:12:16.2985237Z >>> for epoch in range(10): 2025-07-17T07:12:16.2985346Z >>> for batch in data_loader: 2025-07-17T07:12:16.2985457Z >>> train_batch(...) 2025-07-17T07:12:16.2985556Z >>> optimizer.step() 2025-07-17T07:12:16.2985655Z >>> scheduler.step() 2025-07-17T07:12:16.2985748Z 2025-07-17T07:12:16.2985921Z .. image:: ../scripts/lr_scheduler_images/OneCycleLR.png 2025-07-17T07:12:16.2985999Z 2025-07-17T07:12:16.2986308Z .. _Super-Convergence\: Very Fast Training of Neural Networks Using Large Learning Rates: 2025-07-17T07:12:16.2986432Z https://arxiv.org/abs/1708.07120 2025-07-17T07:12:16.2986526Z 2025-07-17T07:12:16.2986779Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2986857Z 2025-07-17T07:12:16.2986968Z warnings.warn(msg) 2025-07-17T07:12:16.2987077Z 2025-07-17T07:12:16.2987317Z --- Parse Warning: 123 / 136 --- 2025-07-17T07:12:16.2988267Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Optimizer.load_state_dict in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/optimizer.py line=867. 2025-07-17T07:12:16.2988528Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2988645Z Load the optimizer state. 2025-07-17T07:12:16.2988723Z 2025-07-17T07:12:16.2988808Z Args: 2025-07-17T07:12:16.2989050Z state_dict (dict): optimizer state. Should be an object returned 2025-07-17T07:12:16.2989170Z from a call to :meth:`state_dict`. 2025-07-17T07:12:16.2989249Z 2025-07-17T07:12:16.2989353Z .. warning:: 2025-07-17T07:12:16.2989687Z Make sure this method is called after initializing :class:`torch.optim.lr_scheduler.LRScheduler`, 2025-07-17T07:12:16.2989899Z as calling it beforehand will overwrite the loaded learning rates. 2025-07-17T07:12:16.2989991Z 2025-07-17T07:12:16.2990074Z .. note:: 2025-07-17T07:12:16.2990377Z The names of the parameters (if they exist under the "param_names" key of each param group 2025-07-17T07:12:16.2990553Z in :meth:`state_dict`) will not affect the loading process. 2025-07-17T07:12:16.2990876Z To use the parameters' names for custom cases (such as when the parameters in the loaded state dict 2025-07-17T07:12:16.2991048Z differ from those initialized in the optimizer), 2025-07-17T07:12:16.2991350Z a custom ``register_load_state_dict_pre_hook`` should be implemented to adapt the loaded dict 2025-07-17T07:12:16.2991444Z accordingly. 2025-07-17T07:12:16.2991742Z If ``param_names`` exist in loaded state dict ``param_groups`` they will be saved and override 2025-07-17T07:12:16.2992058Z the current names, if present, in the optimizer state. If they do not exist in loaded state dict, 2025-07-17T07:12:16.2992235Z the optimizer ``param_names`` will remain unchanged. 2025-07-17T07:12:16.2992315Z 2025-07-17T07:12:16.2992400Z Example: 2025-07-17T07:12:16.2992514Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.2992631Z >>> model = torch.nn.Linear(10, 10) 2025-07-17T07:12:16.2992822Z >>> optim = torch.optim.SGD(model.parameters(), lr=3e-4) 2025-07-17T07:12:16.2992994Z >>> scheduler1 = torch.optim.lr_scheduler.LinearLR( 2025-07-17T07:12:16.2993084Z ... optim, 2025-07-17T07:12:16.2993194Z ... start_factor=0.1, 2025-07-17T07:12:16.2993290Z ... end_factor=1, 2025-07-17T07:12:16.2993385Z ... total_iters=20, 2025-07-17T07:12:16.2993479Z ... ) 2025-07-17T07:12:16.2993668Z >>> scheduler2 = torch.optim.lr_scheduler.CosineAnnealingLR( 2025-07-17T07:12:16.2993784Z ... optim, 2025-07-17T07:12:16.2993886Z ... T_max=80, 2025-07-17T07:12:16.2993981Z ... eta_min=3e-5, 2025-07-17T07:12:16.2994062Z ... ) 2025-07-17T07:12:16.2994217Z >>> lr = torch.optim.lr_scheduler.SequentialLR( 2025-07-17T07:12:16.2994308Z ... optim, 2025-07-17T07:12:16.2994441Z ... schedulers=[scheduler1, scheduler2], 2025-07-17T07:12:16.2994555Z ... milestones=[20], 2025-07-17T07:12:16.2994637Z ... ) 2025-07-17T07:12:16.2994797Z >>> lr.load_state_dict(torch.load("./save_seq.pt")) 2025-07-17T07:12:16.2994999Z >>> # now load the optimizer checkpoint after loading the LRScheduler 2025-07-17T07:12:16.2995164Z >>> optim.load_state_dict(torch.load("./save_optim.pt")) 2025-07-17T07:12:16.2995283Z 2025-07-17T07:12:16.2995364Z 2025-07-17T07:12:16.2995615Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.2995705Z 2025-07-17T07:12:16.2995801Z warnings.warn(msg) 2025-07-17T07:12:16.2995882Z 2025-07-17T07:12:16.2996087Z --- Parse Warning: 124 / 136 --- 2025-07-17T07:12:16.2996974Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=AveragedModel in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=120. 2025-07-17T07:12:16.2997275Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.2997640Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA). 2025-07-17T07:12:16.2997719Z 2025-07-17T07:12:16.2997972Z Stochastic Weight Averaging was proposed in `Averaging Weights Leads to 2025-07-17T07:12:16.2998188Z Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii 2025-07-17T07:12:16.2998419Z Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson 2025-07-17T07:12:16.2998505Z (UAI 2018). 2025-07-17T07:12:16.2998583Z 2025-07-17T07:12:16.2998807Z Exponential Moving Average is a variation of `Polyak averaging`_, 2025-07-17T07:12:16.2999043Z but using exponential weights instead of equal weights across iterations. 2025-07-17T07:12:16.2999120Z 2025-07-17T07:12:16.2999370Z AveragedModel class creates a copy of the provided module :attr:`model` 2025-07-17T07:12:16.2999591Z on the device :attr:`device` and allows to compute running averages of the 2025-07-17T07:12:16.2999702Z parameters of the :attr:`model`. 2025-07-17T07:12:16.2999793Z 2025-07-17T07:12:16.2999872Z Args: 2025-07-17T07:12:16.3000036Z model (torch.nn.Module): model to use with SWA/EMA 2025-07-17T07:12:16.3000269Z device (torch.device, optional): if provided, the averaged model will be 2025-07-17T07:12:16.3000381Z stored on the :attr:`device` 2025-07-17T07:12:16.3000595Z avg_fn (function, optional): the averaging function used to update 2025-07-17T07:12:16.3000792Z parameters; the function must take in the current value of the 2025-07-17T07:12:16.3001009Z :class:`AveragedModel` parameter, the current value of :attr:`model` 2025-07-17T07:12:16.3001239Z parameter, and the number of models already averaged; if None, 2025-07-17T07:12:16.3001399Z an equally weighted average is used (default: None) 2025-07-17T07:12:16.3001633Z multi_avg_fn (function, optional): the averaging function used to update 2025-07-17T07:12:16.3001865Z parameters inplace; the function must take in the current values of the 2025-07-17T07:12:16.3002131Z :class:`AveragedModel` parameters as a list, the current values of :attr:`model` 2025-07-17T07:12:16.3002371Z parameters as a list, and the number of models already averaged; if None, 2025-07-17T07:12:16.3002550Z an equally weighted average is used (default: None) 2025-07-17T07:12:16.3002752Z use_buffers (bool): if ``True``, it will compute running averages for 2025-07-17T07:12:16.3002982Z both the parameters and the buffers of the model. (default: ``False``) 2025-07-17T07:12:16.3003059Z 2025-07-17T07:12:16.3003157Z Example: 2025-07-17T07:12:16.3003288Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:16.3003414Z >>> loader, optimizer, model, loss_fn = ... 2025-07-17T07:12:16.3003592Z >>> swa_model = torch.optim.swa_utils.AveragedModel(model) 2025-07-17T07:12:16.3003813Z >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer, 2025-07-17T07:12:16.3003924Z >>> T_max=300) 2025-07-17T07:12:16.3004056Z >>> swa_start = 160 2025-07-17T07:12:16.3004198Z >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05) 2025-07-17T07:12:16.3004309Z >>> for i in range(300): 2025-07-17T07:12:16.3004422Z >>> for input, target in loader: 2025-07-17T07:12:16.3004532Z >>> optimizer.zero_grad() 2025-07-17T07:12:16.3004677Z >>> loss_fn(model(input), target).backward() 2025-07-17T07:12:16.3004780Z >>> optimizer.step() 2025-07-17T07:12:16.3004879Z >>> if i > swa_start: 2025-07-17T07:12:16.3005046Z >>> swa_model.update_parameters(model) 2025-07-17T07:12:16.3005153Z >>> swa_scheduler.step() 2025-07-17T07:12:16.3005241Z >>> else: 2025-07-17T07:12:16.3005357Z >>> scheduler.step() 2025-07-17T07:12:16.3005437Z >>> 2025-07-17T07:12:16.3005603Z >>> # Update bn statistics for the swa_model at the end 2025-07-17T07:12:16.3005765Z >>> torch.optim.swa_utils.update_bn(loader, swa_model) 2025-07-17T07:12:16.3005843Z 2025-07-17T07:12:16.3006152Z You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters. 2025-07-17T07:12:16.3006344Z If no averaging function is provided, the default is to compute 2025-07-17T07:12:16.3006489Z equally-weighted average of the weights (SWA). 2025-07-17T07:12:16.3006581Z 2025-07-17T07:12:16.3006664Z Example: 2025-07-17T07:12:16.3006791Z >>> # xdoctest: +SKIP("undefined variables") 2025-07-17T07:12:16.3007012Z >>> # Compute exponential moving averages of the weights and buffers 2025-07-17T07:12:16.3007176Z >>> ema_model = torch.optim.swa_utils.AveragedModel(model, 2025-07-17T07:12:16.3007404Z >>> torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True) 2025-07-17T07:12:16.3007482Z 2025-07-17T07:12:16.3007569Z .. note:: 2025-07-17T07:12:16.3007800Z When using SWA/EMA with models containing Batch Normalization you may 2025-07-17T07:12:16.3008001Z need to update the activation statistics for Batch Normalization. 2025-07-17T07:12:16.3008231Z This can be done either by using the :meth:`torch.optim.swa_utils.update_bn` 2025-07-17T07:12:16.3008461Z or by setting :attr:`use_buffers` to `True`. The first approach updates the 2025-07-17T07:12:16.3008699Z statistics in a post-training step by passing data through the model. The 2025-07-17T07:12:16.3008974Z second does it during the parameter update phase by averaging all buffers. 2025-07-17T07:12:16.3009215Z Empirical evidence has shown that updating the statistics in normalization 2025-07-17T07:12:16.3009438Z layers increases accuracy, but you may wish to empirically test which 2025-07-17T07:12:16.3009603Z approach yields the best results in your problem. 2025-07-17T07:12:16.3009684Z 2025-07-17T07:12:16.3009770Z .. note:: 2025-07-17T07:12:16.3010060Z :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model. 2025-07-17T07:12:16.3010138Z 2025-07-17T07:12:16.3010234Z .. note:: 2025-07-17T07:12:16.3010429Z When :meth:`update_parameters` is called for the first time (i.e. 2025-07-17T07:12:16.3010609Z :attr:`n_averaged` is `0`) the parameters of `model` are copied 2025-07-17T07:12:16.3010822Z to the parameters of :class:`AveragedModel`. For every subsequent 2025-07-17T07:12:16.3011007Z call of :meth:`update_parameters` the function `avg_fn` is used 2025-07-17T07:12:16.3011112Z to update the parameters. 2025-07-17T07:12:16.3011204Z 2025-07-17T07:12:16.3011425Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2025-07-17T07:12:16.3011546Z https://arxiv.org/abs/1803.05407 2025-07-17T07:12:16.3011793Z .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should 2025-07-17T07:12:16.3011905Z Average: 2025-07-17T07:12:16.3012031Z https://arxiv.org/abs/1806.05594 2025-07-17T07:12:16.3012232Z .. _SWALP: Stochastic Weight Averaging in Low-Precision Training: 2025-07-17T07:12:16.3012345Z https://arxiv.org/abs/1904.11943 2025-07-17T07:12:16.3012579Z .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That 2025-07-17T07:12:16.3012680Z Generalizes Well: 2025-07-17T07:12:16.3012796Z https://arxiv.org/abs/2001.02312 2025-07-17T07:12:16.3012931Z .. _Polyak averaging: 2025-07-17T07:12:16.3013103Z https://paperswithcode.com/method/polyak-averaging 2025-07-17T07:12:16.3013184Z 2025-07-17T07:12:16.3013446Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.3013524Z 2025-07-17T07:12:16.3013631Z warnings.warn(msg) 2025-07-17T07:12:16.3013711Z 2025-07-17T07:12:16.3013914Z --- Parse Warning: 125 / 136 --- 2025-07-17T07:12:16.3014776Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SWALR in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/optim/swa_utils.py line=375. 2025-07-17T07:12:16.3015036Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.3015249Z Anneals the learning rate in each parameter group to a fixed value. 2025-07-17T07:12:16.3015345Z 2025-07-17T07:12:16.3015578Z This learning rate scheduler is meant to be used with Stochastic Weight 2025-07-17T07:12:16.3015803Z Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`). 2025-07-17T07:12:16.3015883Z 2025-07-17T07:12:16.3015966Z Args: 2025-07-17T07:12:16.3016150Z optimizer (torch.optim.Optimizer): wrapped optimizer 2025-07-17T07:12:16.3016352Z swa_lrs (float or list): the learning rate value for all param groups 2025-07-17T07:12:16.3016483Z together or separately for each group. 2025-07-17T07:12:16.3016695Z annealing_epochs (int): number of epochs in the annealing phase 2025-07-17T07:12:16.3016789Z (default: 10) 2025-07-17T07:12:16.3017001Z annealing_strategy (str): "cos" or "linear"; specifies the annealing 2025-07-17T07:12:16.3017218Z strategy: "cos" for cosine annealing, "linear" for linear annealing 2025-07-17T07:12:16.3017357Z (default: "cos") 2025-07-17T07:12:16.3017547Z last_epoch (int): the index of the last epoch (default: -1) 2025-07-17T07:12:16.3017625Z 2025-07-17T07:12:16.3017801Z The :class:`SWALR` scheduler can be used together with other 2025-07-17T07:12:16.3018026Z schedulers to switch to a constant learning rate late in the training 2025-07-17T07:12:16.3018127Z as in the example below. 2025-07-17T07:12:16.3018204Z 2025-07-17T07:12:16.3018303Z Example: 2025-07-17T07:12:16.3018455Z >>> # xdoctest: +SKIP("Undefined variables") 2025-07-17T07:12:16.3018584Z >>> loader, optimizer, model = ... 2025-07-17T07:12:16.3018697Z >>> lr_lambda = lambda epoch: 0.9 2025-07-17T07:12:16.3018914Z >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer, 2025-07-17T07:12:16.3019030Z >>> lr_lambda=lr_lambda) 2025-07-17T07:12:16.3019306Z >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer, 2025-07-17T07:12:16.3019494Z >>> anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05) 2025-07-17T07:12:16.3019602Z >>> swa_start = 160 2025-07-17T07:12:16.3019701Z >>> for i in range(300): 2025-07-17T07:12:16.3019814Z >>> for input, target in loader: 2025-07-17T07:12:16.3019936Z >>> optimizer.zero_grad() 2025-07-17T07:12:16.3020066Z >>> loss_fn(model(input), target).backward() 2025-07-17T07:12:16.3020201Z >>> optimizer.step() 2025-07-17T07:12:16.3020311Z >>> if i > swa_start: 2025-07-17T07:12:16.3020419Z >>> swa_scheduler.step() 2025-07-17T07:12:16.3020505Z >>> else: 2025-07-17T07:12:16.3020618Z >>> scheduler.step() 2025-07-17T07:12:16.3020695Z 2025-07-17T07:12:16.3020914Z .. _Averaging Weights Leads to Wider Optima and Better Generalization: 2025-07-17T07:12:16.3021047Z https://arxiv.org/abs/1803.05407 2025-07-17T07:12:16.3021126Z 2025-07-17T07:12:16.3021415Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.3021494Z 2025-07-17T07:12:16.3021591Z warnings.warn(msg) 2025-07-17T07:12:16.3021681Z 2025-07-17T07:12:16.3021885Z --- Parse Warning: 126 / 136 --- 2025-07-17T07:12:16.3022788Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_close in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/testing/_comparison.py line=1331. 2025-07-17T07:12:16.3023064Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.3023211Z Asserts that ``actual`` and ``expected`` are close. 2025-07-17T07:12:16.3023303Z 2025-07-17T07:12:16.3023666Z If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if 2025-07-17T07:12:16.3023746Z 2025-07-17T07:12:16.3023849Z .. math:: 2025-07-17T07:12:16.3023927Z 2025-07-17T07:12:16.3024286Z \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert 2025-07-17T07:12:16.3024376Z 2025-07-17T07:12:16.3024714Z Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are 2025-07-17T07:12:16.3024917Z only considered equal to each other if ``equal_nan`` is ``True``. 2025-07-17T07:12:16.3025007Z 2025-07-17T07:12:16.3025202Z In addition, they are only considered close if they have the same 2025-07-17T07:12:16.3025289Z 2025-07-17T07:12:16.3025477Z - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``), 2025-07-17T07:12:16.3025602Z - ``dtype`` (if ``check_dtype`` is ``True``), 2025-07-17T07:12:16.3025750Z - ``layout`` (if ``check_layout`` is ``True``), and 2025-07-17T07:12:16.3025904Z - stride (if ``check_stride`` is ``True``). 2025-07-17T07:12:16.3025982Z 2025-07-17T07:12:16.3026288Z If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed. 2025-07-17T07:12:16.3026367Z 2025-07-17T07:12:16.3026731Z If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are 2025-07-17T07:12:16.3027103Z checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR, 2025-07-17T07:12:16.3027358Z or ``ccol_indices`` and ``row_indices`` for CSC and BSC layouts, respectively, 2025-07-17T07:12:16.3027751Z are always checked for equality whereas the values are checked for closeness according to the definition above. 2025-07-17T07:12:16.3027829Z 2025-07-17T07:12:16.3028104Z If ``actual`` and ``expected`` are quantized, they are considered close if they have the same 2025-07-17T07:12:16.3028464Z :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the 2025-07-17T07:12:16.3028559Z definition above. 2025-07-17T07:12:16.3028646Z 2025-07-17T07:12:16.3028945Z ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which 2025-07-17T07:12:16.3029315Z :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types 2025-07-17T07:12:16.3029734Z have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s 2025-07-17T07:12:16.3030109Z or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all 2025-07-17T07:12:16.3030343Z their elements are considered close according to the above definition. 2025-07-17T07:12:16.3030420Z 2025-07-17T07:12:16.3030504Z .. note:: 2025-07-17T07:12:16.3030592Z 2025-07-17T07:12:16.3030946Z Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e. 2025-07-17T07:12:16.3031265Z :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus, 2025-07-17T07:12:16.3031551Z Python scalars of different types can be checked, but require ``check_dtype=False``. 2025-07-17T07:12:16.3031627Z 2025-07-17T07:12:16.3031710Z Args: 2025-07-17T07:12:16.3031823Z actual (Any): Actual input. 2025-07-17T07:12:16.3031940Z expected (Any): Expected input. 2025-07-17T07:12:16.3032310Z allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types 2025-07-17T07:12:16.3032464Z are allowed. Otherwise type equality is required. 2025-07-17T07:12:16.3032823Z rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default 2025-07-17T07:12:16.3033098Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2025-07-17T07:12:16.3033454Z atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default 2025-07-17T07:12:16.3033720Z values based on the :attr:`~torch.Tensor.dtype` are selected with the below table. 2025-07-17T07:12:16.3033961Z equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal. 2025-07-17T07:12:16.3034245Z check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same 2025-07-17T07:12:16.3034499Z :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different 2025-07-17T07:12:16.3034725Z :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared. 2025-07-17T07:12:16.3035099Z check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this 2025-07-17T07:12:16.3035455Z check is disabled, tensors with different ``dtype``'s are promoted to a common ``dtype`` (according to 2025-07-17T07:12:16.3035613Z :func:`torch.promote_types`) before being compared. 2025-07-17T07:12:16.3035979Z check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this 2025-07-17T07:12:16.3036311Z check is disabled, tensors with different ``layout``'s are converted to strided tensors before being 2025-07-17T07:12:16.3036428Z compared. 2025-07-17T07:12:16.3036799Z check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride. 2025-07-17T07:12:16.3037148Z msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during 2025-07-17T07:12:16.3037516Z the comparison. Can also passed as callable in which case it will be called with the generated message and 2025-07-17T07:12:16.3037630Z should return the new message. 2025-07-17T07:12:16.3037707Z 2025-07-17T07:12:16.3037802Z Raises: 2025-07-17T07:12:16.3038031Z ValueError: If no :class:`torch.Tensor` can be constructed from an input. 2025-07-17T07:12:16.3038195Z ValueError: If only ``rtol`` or ``atol`` is specified. 2025-07-17T07:12:16.3038555Z AssertionError: If corresponding inputs are not Python scalars and are not directly related. 2025-07-17T07:12:16.3038915Z AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have 2025-07-17T07:12:16.3039027Z different types. 2025-07-17T07:12:16.3039384Z AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match. 2025-07-17T07:12:16.3039746Z AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match. 2025-07-17T07:12:16.3040094Z AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`. 2025-07-17T07:12:16.3040389Z AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same 2025-07-17T07:12:16.3040519Z :attr:`~torch.Tensor.layout`. 2025-07-17T07:12:16.3040736Z AssertionError: If only one of corresponding tensors is quantized. 2025-07-17T07:12:16.3041121Z AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s. 2025-07-17T07:12:16.3041423Z AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same 2025-07-17T07:12:16.3041538Z :attr:`~torch.Tensor.device`. 2025-07-17T07:12:16.3041864Z AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``. 2025-07-17T07:12:16.3042234Z AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride. 2025-07-17T07:12:16.3042599Z AssertionError: If the values of corresponding tensors are not close according to the definition above. 2025-07-17T07:12:16.3042688Z 2025-07-17T07:12:16.3043045Z The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching 2025-07-17T07:12:16.3043194Z ``dtype``'s, the maximum of both tolerances is used. 2025-07-17T07:12:16.3043285Z 2025-07-17T07:12:16.3043413Z +---------------------------+------------+----------+ 2025-07-17T07:12:16.3043538Z | ``dtype`` | ``rtol`` | ``atol`` | 2025-07-17T07:12:16.3043653Z +===========================+============+==========+ 2025-07-17T07:12:16.3043787Z | :attr:`~torch.float16` | ``1e-3`` | ``1e-5`` | 2025-07-17T07:12:16.3043960Z +---------------------------+------------+----------+ 2025-07-17T07:12:16.3044095Z | :attr:`~torch.bfloat16` | ``1.6e-2`` | ``1e-5`` | 2025-07-17T07:12:16.3044216Z +---------------------------+------------+----------+ 2025-07-17T07:12:16.3044359Z | :attr:`~torch.float32` | ``1.3e-6`` | ``1e-5`` | 2025-07-17T07:12:16.3044478Z +---------------------------+------------+----------+ 2025-07-17T07:12:16.3044608Z | :attr:`~torch.float64` | ``1e-7`` | ``1e-7`` | 2025-07-17T07:12:16.3044740Z +---------------------------+------------+----------+ 2025-07-17T07:12:16.3044897Z | :attr:`~torch.complex32` | ``1e-3`` | ``1e-5`` | 2025-07-17T07:12:16.3045026Z +---------------------------+------------+----------+ 2025-07-17T07:12:16.3045160Z | :attr:`~torch.complex64` | ``1.3e-6`` | ``1e-5`` | 2025-07-17T07:12:16.3045280Z +---------------------------+------------+----------+ 2025-07-17T07:12:16.3045424Z | :attr:`~torch.complex128` | ``1e-7`` | ``1e-7`` | 2025-07-17T07:12:16.3045544Z +---------------------------+------------+----------+ 2025-07-17T07:12:16.3045672Z | :attr:`~torch.quint8` | ``1.3e-6`` | ``1e-5`` | 2025-07-17T07:12:16.3045801Z +---------------------------+------------+----------+ 2025-07-17T07:12:16.3045930Z | :attr:`~torch.quint2x4` | ``1.3e-6`` | ``1e-5`` | 2025-07-17T07:12:16.3046061Z +---------------------------+------------+----------+ 2025-07-17T07:12:16.3046217Z | :attr:`~torch.quint4x2` | ``1.3e-6`` | ``1e-5`` | 2025-07-17T07:12:16.3046334Z +---------------------------+------------+----------+ 2025-07-17T07:12:16.3046475Z | :attr:`~torch.qint8` | ``1.3e-6`` | ``1e-5`` | 2025-07-17T07:12:16.3046594Z +---------------------------+------------+----------+ 2025-07-17T07:12:16.3046721Z | :attr:`~torch.qint32` | ``1.3e-6`` | ``1e-5`` | 2025-07-17T07:12:16.3046850Z +---------------------------+------------+----------+ 2025-07-17T07:12:16.3047008Z | other | ``0.0`` | ``0.0`` | 2025-07-17T07:12:16.3047138Z +---------------------------+------------+----------+ 2025-07-17T07:12:16.3047216Z 2025-07-17T07:12:16.3047303Z .. note:: 2025-07-17T07:12:16.3047391Z 2025-07-17T07:12:16.3047768Z :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged 2025-07-17T07:12:16.3048119Z to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might 2025-07-17T07:12:16.3048392Z define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default: 2025-07-17T07:12:16.3048471Z 2025-07-17T07:12:16.3048568Z >>> import functools 2025-07-17T07:12:16.3048833Z >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0) 2025-07-17T07:12:16.3048939Z >>> assert_equal(1e-9, 1e-10) 2025-07-17T07:12:16.3049069Z Traceback (most recent call last): 2025-07-17T07:12:16.3049153Z ... 2025-07-17T07:12:16.3049277Z AssertionError: Scalars are not equal! 2025-07-17T07:12:16.3049375Z 2025-07-17T07:12:16.3049478Z Expected 1e-10 but got 1e-09. 2025-07-17T07:12:16.3049603Z Absolute difference: 9.000000000000001e-10 2025-07-17T07:12:16.3049715Z Relative difference: 9.0 2025-07-17T07:12:16.3049803Z 2025-07-17T07:12:16.3049897Z Examples: 2025-07-17T07:12:16.3050008Z >>> # tensor to tensor comparison 2025-07-17T07:12:16.3050135Z >>> expected = torch.tensor([1e0, 1e-1, 1e-2]) 2025-07-17T07:12:16.3050275Z >>> actual = torch.acos(torch.cos(expected)) 2025-07-17T07:12:16.3050415Z >>> torch.testing.assert_close(actual, expected) 2025-07-17T07:12:16.3050503Z 2025-07-17T07:12:16.3050610Z >>> # scalar to scalar comparison 2025-07-17T07:12:16.3050725Z >>> import math 2025-07-17T07:12:16.3050842Z >>> expected = math.sqrt(2.0) 2025-07-17T07:12:16.3050943Z >>> actual = 2.0 / math.sqrt(2.0) 2025-07-17T07:12:16.3051081Z >>> torch.testing.assert_close(actual, expected) 2025-07-17T07:12:16.3051172Z 2025-07-17T07:12:16.3051295Z >>> # numpy array to numpy array comparison 2025-07-17T07:12:16.3051395Z >>> import numpy as np 2025-07-17T07:12:16.3051530Z >>> expected = np.array([1e0, 1e-1, 1e-2]) 2025-07-17T07:12:16.3051672Z >>> actual = np.arccos(np.cos(expected)) 2025-07-17T07:12:16.3051823Z >>> torch.testing.assert_close(actual, expected) 2025-07-17T07:12:16.3051896Z 2025-07-17T07:12:16.3052010Z >>> # sequence to sequence comparison 2025-07-17T07:12:16.3052116Z >>> import numpy as np 2025-07-17T07:12:16.3052358Z >>> # The types of the sequences do not have to match. They only have to have the same 2025-07-17T07:12:16.3052491Z >>> # length and their elements have to match. 2025-07-17T07:12:16.3052658Z >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)] 2025-07-17T07:12:16.3052759Z >>> actual = tuple(expected) 2025-07-17T07:12:16.3052899Z >>> torch.testing.assert_close(actual, expected) 2025-07-17T07:12:16.3052988Z 2025-07-17T07:12:16.3053103Z >>> # mapping to mapping comparison 2025-07-17T07:12:16.3053234Z >>> from collections import OrderedDict 2025-07-17T07:12:16.3053386Z >>> import numpy as np 2025-07-17T07:12:16.3053485Z >>> foo = torch.tensor(1.0) 2025-07-17T07:12:16.3053583Z >>> bar = 2.0 2025-07-17T07:12:16.3053677Z >>> baz = np.array(3.0) 2025-07-17T07:12:16.3053923Z >>> # The types and a possible ordering of mappings do not have to match. They only 2025-07-17T07:12:16.3054128Z >>> # have to have the same set of keys and their elements have to match. 2025-07-17T07:12:16.3054350Z >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)]) 2025-07-17T07:12:16.3054482Z >>> actual = {"baz": baz, "bar": bar, "foo": foo} 2025-07-17T07:12:16.3054636Z >>> torch.testing.assert_close(actual, expected) 2025-07-17T07:12:16.3054713Z 2025-07-17T07:12:16.3054846Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2025-07-17T07:12:16.3054949Z >>> actual = expected.clone() 2025-07-17T07:12:16.3055114Z >>> # By default, directly related instances can be compared 2025-07-17T07:12:16.3055339Z >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected) 2025-07-17T07:12:16.3055526Z >>> # This check can be made more strict with allow_subclasses=False 2025-07-17T07:12:16.3055637Z >>> torch.testing.assert_close( 2025-07-17T07:12:16.3055838Z ... torch.nn.Parameter(actual), expected, allow_subclasses=False 2025-07-17T07:12:16.3055916Z ... ) 2025-07-17T07:12:16.3056048Z Traceback (most recent call last): 2025-07-17T07:12:16.3056123Z ... 2025-07-17T07:12:16.3056323Z TypeError: No comparison pair was able to handle inputs of type 2025-07-17T07:12:16.3056546Z and . 2025-07-17T07:12:16.3056760Z >>> # If the inputs are not directly related, they are never considered close 2025-07-17T07:12:16.3056929Z >>> torch.testing.assert_close(actual.numpy(), expected) 2025-07-17T07:12:16.3057058Z Traceback (most recent call last): 2025-07-17T07:12:16.3057133Z ... 2025-07-17T07:12:16.3057431Z TypeError: No comparison pair was able to handle inputs of type 2025-07-17T07:12:16.3057531Z and . 2025-07-17T07:12:16.3057788Z >>> # Exceptions to these rules are Python scalars. They can be checked regardless of 2025-07-17T07:12:16.3057940Z >>> # their type if check_dtype=False. 2025-07-17T07:12:16.3058107Z >>> torch.testing.assert_close(1.0, 1, check_dtype=False) 2025-07-17T07:12:16.3058182Z 2025-07-17T07:12:16.3058293Z >>> # NaN != NaN by default. 2025-07-17T07:12:16.3058411Z >>> expected = torch.tensor(float("Nan")) 2025-07-17T07:12:16.3058514Z >>> actual = expected.clone() 2025-07-17T07:12:16.3058667Z >>> torch.testing.assert_close(actual, expected) 2025-07-17T07:12:16.3058782Z Traceback (most recent call last): 2025-07-17T07:12:16.3058903Z ... 2025-07-17T07:12:16.3059020Z AssertionError: Scalars are not close! 2025-07-17T07:12:16.3059189Z 2025-07-17T07:12:16.3059305Z Expected nan but got nan. 2025-07-17T07:12:16.3059440Z Absolute difference: nan (up to 1e-05 allowed) 2025-07-17T07:12:16.3059581Z Relative difference: nan (up to 1.3e-06 allowed) 2025-07-17T07:12:16.3059789Z >>> torch.testing.assert_close(actual, expected, equal_nan=True) 2025-07-17T07:12:16.3059863Z 2025-07-17T07:12:16.3059983Z >>> expected = torch.tensor([1.0, 2.0, 3.0]) 2025-07-17T07:12:16.3060107Z >>> actual = torch.tensor([1.0, 4.0, 5.0]) 2025-07-17T07:12:16.3060243Z >>> # The default error message can be overwritten. 2025-07-17T07:12:16.3060537Z >>> torch.testing.assert_close(actual, expected, msg="Argh, the tensors are not close!") 2025-07-17T07:12:16.3060679Z Traceback (most recent call last): 2025-07-17T07:12:16.3060758Z ... 2025-07-17T07:12:16.3060914Z AssertionError: Argh, the tensors are not close! 2025-07-17T07:12:16.3061124Z >>> # If msg is a callable, it can be used to augment the generated message with 2025-07-17T07:12:16.3061221Z >>> # extra information 2025-07-17T07:12:16.3061337Z >>> torch.testing.assert_close( 2025-07-17T07:12:16.3061530Z ... actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter" 2025-07-17T07:12:16.3061643Z ... ) 2025-07-17T07:12:16.3061750Z Traceback (most recent call last): 2025-07-17T07:12:16.3061827Z ... 2025-07-17T07:12:16.3061936Z AssertionError: Header 2025-07-17T07:12:16.3062021Z 2025-07-17T07:12:16.3062124Z Tensor-likes are not close! 2025-07-17T07:12:16.3062219Z 2025-07-17T07:12:16.3062327Z Mismatched elements: 2 / 3 (66.7%) 2025-07-17T07:12:16.3062548Z Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed) 2025-07-17T07:12:16.3062782Z Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed) 2025-07-17T07:12:16.3062866Z 2025-07-17T07:12:16.3062946Z Footer 2025-07-17T07:12:16.3063032Z 2025-07-17T07:12:16.3063276Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.3063366Z 2025-07-17T07:12:16.3063457Z warnings.warn(msg) 2025-07-17T07:12:16.3063531Z 2025-07-17T07:12:16.3063759Z --- Parse Warning: 127 / 136 --- 2025-07-17T07:12:16.3064677Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_pytree_node in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/_cxx_pytree.py line=134. 2025-07-17T07:12:16.3064938Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.3065094Z Register a container-like type as pytree node. 2025-07-17T07:12:16.3065169Z 2025-07-17T07:12:16.3065262Z Args: 2025-07-17T07:12:16.3065443Z cls (type): A Python type to treat as an internal pytree node. 2025-07-17T07:12:16.3065708Z flatten_fn (callable): A function to be used during flattening, taking an instance of 2025-07-17T07:12:16.3065987Z ``cls`` and returning a pair, with (1) an iterable for the children to be flattened 2025-07-17T07:12:16.3066270Z recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be 2025-07-17T07:12:16.3066383Z passed to the ``unflatten_fn``. 2025-07-17T07:12:16.3066665Z unflatten_fn (callable): A function taking two arguments: the auxiliary data that was 2025-07-17T07:12:16.3066914Z returned by ``flatten_fn`` and stored in the treespec, and the unflattened children. 2025-07-17T07:12:16.3067103Z The function should return an instance of ``cls``. 2025-07-17T07:12:16.3067364Z serialized_type_name (str, optional): A keyword argument used to specify the fully 2025-07-17T07:12:16.3067519Z qualified name used when serializing the tree spec. 2025-07-17T07:12:16.3067833Z to_dumpable_context (callable, optional): An optional keyword argument to custom specify how 2025-07-17T07:12:16.3068107Z to convert the context of the pytree to a custom json dumpable representation. This is 2025-07-17T07:12:16.3068379Z used for json serialization, which is being used in :mod:`torch.export` right now. 2025-07-17T07:12:16.3068674Z from_dumpable_context (callable, optional): An optional keyword argument to custom specify 2025-07-17T07:12:16.3068929Z how to convert the custom json dumpable representation of the context back to the 2025-07-17T07:12:16.3069211Z original context. This is used for json deserialization, which is being used in 2025-07-17T07:12:16.3069326Z :mod:`torch.export` right now. 2025-07-17T07:12:16.3069400Z 2025-07-17T07:12:16.3069710Z Example:: 2025-07-17T07:12:16.3069785Z 2025-07-17T07:12:16.3069878Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.3070031Z >>> # Registry a Python type with lambda functions 2025-07-17T07:12:16.3070129Z >>> register_pytree_node( 2025-07-17T07:12:16.3070229Z ... set, 2025-07-17T07:12:16.3070419Z ... lambda s: (sorted(s), None, None), 2025-07-17T07:12:16.3070537Z ... lambda children, _: set(children), 2025-07-17T07:12:16.3070628Z ... ) 2025-07-17T07:12:16.3070707Z 2025-07-17T07:12:16.3070957Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.3071045Z 2025-07-17T07:12:16.3071137Z warnings.warn(msg) 2025-07-17T07:12:16.3071212Z 2025-07-17T07:12:16.3071428Z --- Parse Warning: 128 / 136 --- 2025-07-17T07:12:16.3072396Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SelectiveCheckpointContext in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1218. 2025-07-17T07:12:16.3072663Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.3072739Z 2025-07-17T07:12:16.3072948Z Context passed to policy function during selective checkpointing. 2025-07-17T07:12:16.3073037Z 2025-07-17T07:12:16.3073260Z This class is used to pass relevant metadata to the policy function during 2025-07-17T07:12:16.3073517Z selective checkpointing. The metadata includes whether the current invocation 2025-07-17T07:12:16.3073690Z of the policy function is during recomputation or not. 2025-07-17T07:12:16.3073767Z 2025-07-17T07:12:16.3073845Z Example: 2025-07-17T07:12:16.3073957Z >>> # xdoctest: +SKIP(stub) 2025-07-17T07:12:16.3074034Z >>> 2025-07-17T07:12:16.3074168Z >>> def policy_fn(ctx, op, *args, **kwargs): 2025-07-17T07:12:16.3074274Z >>> print(ctx.is_recompute) 2025-07-17T07:12:16.3074349Z >>> 2025-07-17T07:12:16.3074626Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2025-07-17T07:12:16.3074705Z >>> 2025-07-17T07:12:16.3074883Z >>> out = torch.utils.checkpoint.checkpoint( 2025-07-17T07:12:16.3074985Z >>> fn, x, y, 2025-07-17T07:12:16.3075083Z >>> use_reentrant=False, 2025-07-17T07:12:16.3075180Z >>> context_fn=context_fn, 2025-07-17T07:12:16.3075272Z >>> ) 2025-07-17T07:12:16.3075348Z 2025-07-17T07:12:16.3075605Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.3075680Z 2025-07-17T07:12:16.3075773Z warnings.warn(msg) 2025-07-17T07:12:16.3075856Z 2025-07-17T07:12:16.3076077Z --- Parse Warning: 129 / 136 --- 2025-07-17T07:12:16.3077067Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/checkpoint.py line=1358. 2025-07-17T07:12:16.3077333Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.3077407Z 2025-07-17T07:12:16.3077644Z Helper to avoid recomputing certain ops during activation checkpointing. 2025-07-17T07:12:16.3077729Z 2025-07-17T07:12:16.3077934Z Use this with `torch.utils.checkpoint.checkpoint` to control which 2025-07-17T07:12:16.3078099Z operations are recomputed during the backward pass. 2025-07-17T07:12:16.3078175Z 2025-07-17T07:12:16.3078250Z Args: 2025-07-17T07:12:16.3078375Z policy_fn_or_list (Callable or List): 2025-07-17T07:12:16.3078584Z - If a policy function is provided, it should accept a 2025-07-17T07:12:16.3078823Z :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and 2025-07-17T07:12:16.3079038Z kwargs to the op, and return a :class:`CheckpointPolicy` enum value 2025-07-17T07:12:16.3079269Z indicating whether the execution of the op should be recomputed or not. 2025-07-17T07:12:16.3079475Z - If a list of operations is provided, it is equivalent to a policy 2025-07-17T07:12:16.3079683Z returning `CheckpointPolicy.MUST_SAVE` for the specified 2025-07-17T07:12:16.3079891Z operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other 2025-07-17T07:12:16.3079990Z operations. 2025-07-17T07:12:16.3080201Z allow_cache_entry_mutation (bool, optional): By default, an error is 2025-07-17T07:12:16.3080408Z raised if any tensors cached by selective activation checkpoint are 2025-07-17T07:12:16.3080626Z mutated in order to ensure correctness. If set to `True`, this check 2025-07-17T07:12:16.3080716Z is disabled. 2025-07-17T07:12:16.3080796Z Returns: 2025-07-17T07:12:16.3080916Z A tuple of two context managers. 2025-07-17T07:12:16.3080991Z 2025-07-17T07:12:16.3081082Z Example: 2025-07-17T07:12:16.3081187Z >>> # xdoctest: +REQUIRES(LINUX) 2025-07-17T07:12:16.3081276Z >>> import functools 2025-07-17T07:12:16.3081367Z >>> 2025-07-17T07:12:16.3081492Z >>> x = torch.rand(10, 10, requires_grad=True) 2025-07-17T07:12:16.3081613Z >>> y = torch.rand(10, 10, requires_grad=True) 2025-07-17T07:12:16.3081705Z >>> 2025-07-17T07:12:16.3081794Z >>> ops_to_save = [ 2025-07-17T07:12:16.3081901Z >>> torch.ops.aten.mm.default, 2025-07-17T07:12:16.3081994Z >>> ] 2025-07-17T07:12:16.3082069Z >>> 2025-07-17T07:12:16.3082189Z >>> def policy_fn(ctx, op, *args, **kwargs): 2025-07-17T07:12:16.3082296Z >>> if op in ops_to_save: 2025-07-17T07:12:16.3082418Z >>> return CheckpointPolicy.MUST_SAVE 2025-07-17T07:12:16.3082508Z >>> else: 2025-07-17T07:12:16.3082648Z >>> return CheckpointPolicy.PREFER_RECOMPUTE 2025-07-17T07:12:16.3082724Z >>> 2025-07-17T07:12:16.3083007Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn) 2025-07-17T07:12:16.3083084Z >>> 2025-07-17T07:12:16.3083176Z >>> # or equivalently 2025-07-17T07:12:16.3083485Z >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save) 2025-07-17T07:12:16.3083560Z >>> 2025-07-17T07:12:16.3083645Z >>> def fn(x, y): 2025-07-17T07:12:16.3083855Z >>> return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y 2025-07-17T07:12:16.3083929Z >>> 2025-07-17T07:12:16.3084076Z >>> out = torch.utils.checkpoint.checkpoint( 2025-07-17T07:12:16.3084162Z >>> fn, x, y, 2025-07-17T07:12:16.3084260Z >>> use_reentrant=False, 2025-07-17T07:12:16.3084395Z >>> context_fn=context_fn, 2025-07-17T07:12:16.3084468Z >>> ) 2025-07-17T07:12:16.3084540Z 2025-07-17T07:12:16.3084794Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.3084870Z 2025-07-17T07:12:16.3084961Z warnings.warn(msg) 2025-07-17T07:12:16.3085050Z 2025-07-17T07:12:16.3085232Z --- Parse Warning: 130 / 136 --- 2025-07-17T07:12:16.3086145Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CppExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1147. 2025-07-17T07:12:16.3086411Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.3086482Z 2025-07-17T07:12:16.3086634Z Create a :class:`setuptools.Extension` for C++. 2025-07-17T07:12:16.3086734Z 2025-07-17T07:12:16.3086974Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-07-17T07:12:16.3087203Z bare minimum (but often sufficient) arguments to build a C++ extension. 2025-07-17T07:12:16.3087273Z 2025-07-17T07:12:16.3087474Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-07-17T07:12:16.3087632Z constructor. Full list arguments can be found at 2025-07-17T07:12:16.3087952Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2025-07-17T07:12:16.3088066Z 2025-07-17T07:12:16.3088152Z .. warning:: 2025-07-17T07:12:16.3088373Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-07-17T07:12:16.3088590Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-07-17T07:12:16.3088777Z the user's responsibility in their library to not use APIs from 2025-07-17T07:12:16.3089000Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-07-17T07:12:16.3089229Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-07-17T07:12:16.3089434Z example, to give access to custom ops from python, the library should 2025-07-17T07:12:16.3089570Z register the ops through the dispatcher. 2025-07-17T07:12:16.3089646Z 2025-07-17T07:12:16.3089860Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-07-17T07:12:16.3090071Z as a compile flag when py_limited_api is specified as an option for 2025-07-17T07:12:16.3090275Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-07-17T07:12:16.3090481Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-07-17T07:12:16.3090698Z safety, and sanity in order to encourage best practices. To target a 2025-07-17T07:12:16.3090904Z different version, set min_supported_cpython to the hexcode of the 2025-07-17T07:12:16.3091019Z CPython version of choice. 2025-07-17T07:12:16.3091097Z 2025-07-17T07:12:16.3091174Z Example: 2025-07-17T07:12:16.3091278Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.3091420Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-07-17T07:12:16.3091527Z >>> from setuptools import setup 2025-07-17T07:12:16.3091754Z >>> from torch.utils.cpp_extension import BuildExtension, CppExtension 2025-07-17T07:12:16.3091832Z >>> setup( 2025-07-17T07:12:16.3091950Z ... name='extension', 2025-07-17T07:12:16.3092052Z ... ext_modules=[ 2025-07-17T07:12:16.3092140Z ... CppExtension( 2025-07-17T07:12:16.3092235Z ... name='extension', 2025-07-17T07:12:16.3092361Z ... sources=['extension.cpp'], 2025-07-17T07:12:16.3092470Z ... extra_compile_args=['-g'], 2025-07-17T07:12:16.3092625Z ... extra_link_args=['-Wl,--no-as-needed', '-lm']) 2025-07-17T07:12:16.3092702Z ... ], 2025-07-17T07:12:16.3092813Z ... cmdclass={ 2025-07-17T07:12:16.3092932Z ... 'build_ext': BuildExtension 2025-07-17T07:12:16.3093004Z ... }) 2025-07-17T07:12:16.3093077Z 2025-07-17T07:12:16.3093334Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.3093408Z 2025-07-17T07:12:16.3093500Z warnings.warn(msg) 2025-07-17T07:12:16.3093585Z 2025-07-17T07:12:16.3093771Z --- Parse Warning: 131 / 136 --- 2025-07-17T07:12:16.3094698Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CUDAExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1217. 2025-07-17T07:12:16.3094953Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.3095029Z 2025-07-17T07:12:16.3095224Z Create a :class:`setuptools.Extension` for CUDA/C++. 2025-07-17T07:12:16.3095300Z 2025-07-17T07:12:16.3095542Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-07-17T07:12:16.3095747Z bare minimum (but often sufficient) arguments to build a CUDA/C++ 2025-07-17T07:12:16.3095973Z extension. This includes the CUDA include path, library path and runtime 2025-07-17T07:12:16.3096066Z library. 2025-07-17T07:12:16.3096139Z 2025-07-17T07:12:16.3096343Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-07-17T07:12:16.3096522Z constructor. Full list arguments can be found at 2025-07-17T07:12:16.3096840Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference 2025-07-17T07:12:16.3096916Z 2025-07-17T07:12:16.3097010Z .. warning:: 2025-07-17T07:12:16.3097230Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-07-17T07:12:16.3097433Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-07-17T07:12:16.3097635Z the user's responsibility in their library to not use APIs from 2025-07-17T07:12:16.3097858Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-07-17T07:12:16.3098078Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-07-17T07:12:16.3098280Z example, to give access to custom ops from python, the library should 2025-07-17T07:12:16.3098405Z register the ops through the dispatcher. 2025-07-17T07:12:16.3098492Z 2025-07-17T07:12:16.3098707Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-07-17T07:12:16.3098908Z as a compile flag when py_limited_api is specified as an option for 2025-07-17T07:12:16.3099213Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-07-17T07:12:16.3099427Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-07-17T07:12:16.3099651Z safety, and sanity in order to encourage best practices. To target a 2025-07-17T07:12:16.3099861Z different version, set min_supported_cpython to the hexcode of the 2025-07-17T07:12:16.3099960Z CPython version of choice. 2025-07-17T07:12:16.3100046Z 2025-07-17T07:12:16.3100125Z Example: 2025-07-17T07:12:16.3100219Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.3100371Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-07-17T07:12:16.3100480Z >>> from setuptools import setup 2025-07-17T07:12:16.3100736Z >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension 2025-07-17T07:12:16.3100825Z >>> setup( 2025-07-17T07:12:16.3100922Z ... name='cuda_extension', 2025-07-17T07:12:16.3101021Z ... ext_modules=[ 2025-07-17T07:12:16.3101111Z ... CUDAExtension( 2025-07-17T07:12:16.3101220Z ... name='cuda_extension', 2025-07-17T07:12:16.3101387Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-07-17T07:12:16.3101538Z ... extra_compile_args={'cxx': ['-g'], 2025-07-17T07:12:16.3101652Z ... 'nvcc': ['-O2']}, 2025-07-17T07:12:16.3101809Z ... extra_link_args=['-Wl,--no-as-needed', '-lcuda']) 2025-07-17T07:12:16.3101894Z ... ], 2025-07-17T07:12:16.3101983Z ... cmdclass={ 2025-07-17T07:12:16.3102102Z ... 'build_ext': BuildExtension 2025-07-17T07:12:16.3102183Z ... }) 2025-07-17T07:12:16.3102269Z 2025-07-17T07:12:16.3102362Z Compute capabilities: 2025-07-17T07:12:16.3102437Z 2025-07-17T07:12:16.3102739Z By default the extension will be compiled to run on all archs of the cards visible during the 2025-07-17T07:12:16.3103024Z building process of the extension, plus PTX. If down the road a new card is installed the 2025-07-17T07:12:16.3103313Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's 2025-07-17T07:12:16.3103643Z newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch 2025-07-17T07:12:16.3103922Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does 2025-07-17T07:12:16.3104050Z support (see below for details on PTX). 2025-07-17T07:12:16.3104123Z 2025-07-17T07:12:16.3104427Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which 2025-07-17T07:12:16.3104576Z CCs you want the extension to support: 2025-07-17T07:12:16.3104651Z 2025-07-17T07:12:16.3104834Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py`` 2025-07-17T07:12:16.3105070Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py`` 2025-07-17T07:12:16.3105147Z 2025-07-17T07:12:16.3105460Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified 2025-07-17T07:12:16.3105785Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >= 2025-07-17T07:12:16.3106085Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with 2025-07-17T07:12:16.3106380Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to 2025-07-17T07:12:16.3106698Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on 2025-07-17T07:12:16.3106971Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better 2025-07-17T07:12:16.3107298Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6, 2025-07-17T07:12:16.3107606Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but 2025-07-17T07:12:16.3107708Z "8.0 8.6" would be better. 2025-07-17T07:12:16.3107779Z 2025-07-17T07:12:16.3108075Z Note that while it's possible to include all supported archs, the more archs get included the 2025-07-17T07:12:16.3108374Z slower the building process will be, as it will build a separate kernel image for each arch. 2025-07-17T07:12:16.3108447Z 2025-07-17T07:12:16.3108773Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows. 2025-07-17T07:12:16.3108989Z To workaround the issue, move python binding logic to pure C++ file. 2025-07-17T07:12:16.3109063Z 2025-07-17T07:12:16.3109172Z Example use: 2025-07-17T07:12:16.3109279Z #include 2025-07-17T07:12:16.3109427Z at::Tensor SigmoidAlphaBlendForwardCuda(....) 2025-07-17T07:12:16.3109512Z 2025-07-17T07:12:16.3109591Z Instead of: 2025-07-17T07:12:16.3109693Z #include 2025-07-17T07:12:16.3109853Z torch::Tensor SigmoidAlphaBlendForwardCuda(...) 2025-07-17T07:12:16.3109926Z 2025-07-17T07:12:16.3110198Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460 2025-07-17T07:12:16.3110752Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48 2025-07-17T07:12:16.3110838Z 2025-07-17T07:12:16.3110945Z Relocatable device code linking: 2025-07-17T07:12:16.3111032Z 2025-07-17T07:12:16.3111309Z If you want to reference device symbols across compilation units (across object files), 2025-07-17T07:12:16.3111578Z the object files need to be built with `relocatable device code` (-rdc=true or -dc). 2025-07-17T07:12:16.3111937Z An exception to this rule is "dynamic parallelism" (nested kernel launches) which is not used a lot anymore. 2025-07-17T07:12:16.3112264Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it. 2025-07-17T07:12:16.3112596Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step 2025-07-17T07:12:16.3112800Z helps reduce the protentional perf degradation of `-rdc`. 2025-07-17T07:12:16.3112976Z Note that it needs to be used at both steps to be useful. 2025-07-17T07:12:16.3113053Z 2025-07-17T07:12:16.3113418Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step. 2025-07-17T07:12:16.3113599Z There is also a case where `-dlink` is used without `-rdc`: 2025-07-17T07:12:16.3113854Z when an extension is linked against a static lib containing rdc-compiled objects 2025-07-17T07:12:16.3114088Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem). 2025-07-17T07:12:16.3114178Z 2025-07-17T07:12:16.3114375Z Note: Ninja is required to build a CUDA Extension with RDC linking. 2025-07-17T07:12:16.3114452Z 2025-07-17T07:12:16.3114546Z Example: 2025-07-17T07:12:16.3114639Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.3114794Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-07-17T07:12:16.3114890Z >>> CUDAExtension( 2025-07-17T07:12:16.3114991Z ... name='cuda_extension', 2025-07-17T07:12:16.3115161Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-07-17T07:12:16.3115250Z ... dlink=True, 2025-07-17T07:12:16.3115366Z ... dlink_libraries=["dlink_lib"], 2025-07-17T07:12:16.3115499Z ... extra_compile_args={'cxx': ['-g'], 2025-07-17T07:12:16.3115619Z ... 'nvcc': ['-O2', '-rdc=true']}) 2025-07-17T07:12:16.3115696Z 2025-07-17T07:12:16.3115959Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.3116036Z 2025-07-17T07:12:16.3116141Z warnings.warn(msg) 2025-07-17T07:12:16.3116217Z 2025-07-17T07:12:16.3116426Z --- Parse Warning: 132 / 136 --- 2025-07-17T07:12:16.3117352Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyclExtension in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1408. 2025-07-17T07:12:16.3117616Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.3117744Z 2025-07-17T07:12:16.3117918Z Creates a :class:`setuptools.Extension` for SYCL/C++. 2025-07-17T07:12:16.3117994Z 2025-07-17T07:12:16.3118244Z Convenience method that creates a :class:`setuptools.Extension` with the 2025-07-17T07:12:16.3118470Z bare minimum (but often sufficient) arguments to build a SYCL/C++ 2025-07-17T07:12:16.3118556Z extension. 2025-07-17T07:12:16.3118646Z 2025-07-17T07:12:16.3118847Z All arguments are forwarded to the :class:`setuptools.Extension` 2025-07-17T07:12:16.3118931Z constructor. 2025-07-17T07:12:16.3119016Z 2025-07-17T07:12:16.3119099Z .. warning:: 2025-07-17T07:12:16.3119324Z The PyTorch python API (as provided in libtorch_python) cannot be built 2025-07-17T07:12:16.3119544Z with the flag ``py_limited_api=True``. When this flag is passed, it is 2025-07-17T07:12:16.3119759Z the user's responsibility in their library to not use APIs from 2025-07-17T07:12:16.3119999Z libtorch_python (in particular pytorch/python bindings) and to only use 2025-07-17T07:12:16.3120209Z APIs from libtorch (aten objects, operators and the dispatcher). For 2025-07-17T07:12:16.3120414Z example, to give access to custom ops from python, the library should 2025-07-17T07:12:16.3120553Z register the ops through the dispatcher. 2025-07-17T07:12:16.3120629Z 2025-07-17T07:12:16.3120850Z Contrary to CPython setuptools, who does not define -DPy_LIMITED_API 2025-07-17T07:12:16.3121060Z as a compile flag when py_limited_api is specified as an option for 2025-07-17T07:12:16.3121263Z the "bdist_wheel" command in ``setup``, PyTorch does! We will specify 2025-07-17T07:12:16.3121486Z -DPy_LIMITED_API=min_supported_cpython to best enforce consistency, 2025-07-17T07:12:16.3121722Z safety, and sanity in order to encourage best practices. To target a 2025-07-17T07:12:16.3121932Z different version, set min_supported_cpython to the hexcode of the 2025-07-17T07:12:16.3122045Z CPython version of choice. 2025-07-17T07:12:16.3122123Z 2025-07-17T07:12:16.3122203Z Example: 2025-07-17T07:12:16.3122309Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.3122455Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-07-17T07:12:16.3122702Z >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension 2025-07-17T07:12:16.3122809Z >>> setup( 2025-07-17T07:12:16.3122910Z ... name='xpu_extension', 2025-07-17T07:12:16.3123003Z ... ext_modules=[ 2025-07-17T07:12:16.3123112Z ... SyclExtension( 2025-07-17T07:12:16.3123224Z ... name='xpu_extension', 2025-07-17T07:12:16.3123397Z ... sources=['extension.cpp', 'extension_kernel.cpp'], 2025-07-17T07:12:16.3123578Z ... extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']}) 2025-07-17T07:12:16.3123662Z ... ], 2025-07-17T07:12:16.3123764Z ... cmdclass={ 2025-07-17T07:12:16.3123875Z ... 'build_ext': BuildExtension 2025-07-17T07:12:16.3123956Z ... }) 2025-07-17T07:12:16.3124044Z 2025-07-17T07:12:16.3124336Z By default the extension will be compiled to run on all archs of the cards visible during the 2025-07-17T07:12:16.3124601Z building process of the extension. If down the road a new card is installed the 2025-07-17T07:12:16.3124850Z extension may need to be recompiled. You can override the default behavior using 2025-07-17T07:12:16.3125154Z `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension 2025-07-17T07:12:16.3125250Z to support: 2025-07-17T07:12:16.3125325Z 2025-07-17T07:12:16.3125521Z ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py`` 2025-07-17T07:12:16.3125611Z 2025-07-17T07:12:16.3125905Z Note that while it's possible to include all supported archs, the more archs get included the 2025-07-17T07:12:16.3126190Z slower the building process will be, as it will build a separate kernel image for each arch. 2025-07-17T07:12:16.3126276Z 2025-07-17T07:12:16.3126414Z Note: Ninja is required to build SyclExtension. 2025-07-17T07:12:16.3126501Z 2025-07-17T07:12:16.3126776Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.3126854Z 2025-07-17T07:12:16.3126961Z warnings.warn(msg) 2025-07-17T07:12:16.3127038Z 2025-07-17T07:12:16.3127228Z --- Parse Warning: 133 / 136 --- 2025-07-17T07:12:16.3128100Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1585. 2025-07-17T07:12:16.3128386Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.3128475Z 2025-07-17T07:12:16.3128618Z Load a PyTorch C++ extension just-in-time (JIT). 2025-07-17T07:12:16.3128696Z 2025-07-17T07:12:16.3128915Z To load an extension, a Ninja build file is emitted, which is used to 2025-07-17T07:12:16.3129118Z compile the given sources into a dynamic library. This library is 2025-07-17T07:12:16.3129338Z subsequently loaded into the current Python process as a module and 2025-07-17T07:12:16.3129482Z returned from this function, ready for use. 2025-07-17T07:12:16.3129556Z 2025-07-17T07:12:16.3129756Z By default, the directory to which the build file is emitted and the 2025-07-17T07:12:16.3129999Z resulting library compiled to is ``/torch_extensions/``, where 2025-07-17T07:12:16.3130199Z ```` is the temporary folder on the current platform and ```` 2025-07-17T07:12:16.3130447Z the name of the extension. This location can be overridden in two ways. 2025-07-17T07:12:16.3130651Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it 2025-07-17T07:12:16.3130862Z replaces ``/torch_extensions`` and all extensions will be compiled 2025-07-17T07:12:16.3131087Z into subfolders of this directory. Second, if the ``build_directory`` 2025-07-17T07:12:16.3131314Z argument to this function is supplied, it overrides the entire path, i.e. 2025-07-17T07:12:16.3131476Z the library will be compiled into that folder directly. 2025-07-17T07:12:16.3131592Z 2025-07-17T07:12:16.3131797Z To compile the sources, the default system compiler (``c++``) is used, 2025-07-17T07:12:16.3132044Z which can be overridden by setting the ``CXX`` environment variable. To pass 2025-07-17T07:12:16.3132263Z additional arguments to the compilation process, ``extra_cflags`` or 2025-07-17T07:12:16.3132480Z ``extra_ldflags`` can be provided. For example, to compile your extension 2025-07-17T07:12:16.3132704Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use 2025-07-17T07:12:16.3132855Z ``extra_cflags`` to pass further include directories. 2025-07-17T07:12:16.3132933Z 2025-07-17T07:12:16.3133174Z CUDA support with mixed compilation is provided. Simply pass CUDA source 2025-07-17T07:12:16.3133352Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be 2025-07-17T07:12:16.3133599Z detected and compiled with nvcc rather than the C++ compiler. This includes 2025-07-17T07:12:16.3133807Z passing the CUDA lib64 directory as a library directory, and linking 2025-07-17T07:12:16.3133955Z ``cudart``. You can pass additional flags to nvcc via 2025-07-17T07:12:16.3134168Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various 2025-07-17T07:12:16.3134398Z heuristics for finding the CUDA install directory are used, which usually 2025-07-17T07:12:16.3134605Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the 2025-07-17T07:12:16.3134708Z safest option. 2025-07-17T07:12:16.3134786Z 2025-07-17T07:12:16.3135014Z SYCL support with mixed compilation is provided. Simply pass SYCL source 2025-07-17T07:12:16.3135224Z files (``.sycl``) along with other sources. Such files will be detected 2025-07-17T07:12:16.3135438Z and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather 2025-07-17T07:12:16.3135680Z than the C++ compiler. You can pass additional flags to SYCL compiler 2025-07-17T07:12:16.3135870Z via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++. 2025-07-17T07:12:16.3136070Z SYCL compiler is expected to be found via system PATH environment 2025-07-17T07:12:16.3136164Z variable. 2025-07-17T07:12:16.3136241Z 2025-07-17T07:12:16.3136320Z Args: 2025-07-17T07:12:16.3136537Z name: The name of the extension to build. This MUST be the same as the 2025-07-17T07:12:16.3136644Z name of the pybind11 module! 2025-07-17T07:12:16.3136874Z sources: A list of relative or absolute paths to C++ source files. 2025-07-17T07:12:16.3137094Z extra_cflags: optional list of compiler flags to forward to the build. 2025-07-17T07:12:16.3137306Z extra_cuda_cflags: optional list of compiler flags to forward to nvcc 2025-07-17T07:12:16.3137420Z when building CUDA sources. 2025-07-17T07:12:16.3137636Z extra_sycl_cflags: optional list of compiler flags to forward to SYCL 2025-07-17T07:12:16.3137758Z compiler when building SYCL sources. 2025-07-17T07:12:16.3137985Z extra_ldflags: optional list of linker flags to forward to the build. 2025-07-17T07:12:16.3138198Z extra_include_paths: optional list of include directories to forward 2025-07-17T07:12:16.3138301Z to the build. 2025-07-17T07:12:16.3138473Z build_directory: optional path to use as build workspace. 2025-07-17T07:12:16.3138648Z verbose: If ``True``, turns on verbose logging of load steps. 2025-07-17T07:12:16.3138905Z with_cuda: Determines whether CUDA headers and libraries are added to 2025-07-17T07:12:16.3139136Z the build. If set to ``None`` (default), this value is 2025-07-17T07:12:16.3139341Z automatically determined based on the existence of ``.cu`` or 2025-07-17T07:12:16.3139520Z ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers 2025-07-17T07:12:16.3139628Z and libraries to be included. 2025-07-17T07:12:16.3139893Z with_sycl: Determines whether SYCL headers and libraries are added to 2025-07-17T07:12:16.3140050Z the build. If set to ``None`` (default), this value is 2025-07-17T07:12:16.3140259Z automatically determined based on the existence of ``.sycl`` in 2025-07-17T07:12:16.3140429Z ``sources``. Set it to `True`` to force SYCL headers and 2025-07-17T07:12:16.3140532Z libraries to be included. 2025-07-17T07:12:16.3140733Z is_python_module: If ``True`` (default), imports the produced shared 2025-07-17T07:12:16.3140932Z library as a Python module. If ``False``, behavior depends on 2025-07-17T07:12:16.3141029Z ``is_standalone``. 2025-07-17T07:12:16.3141243Z is_standalone: If ``False`` (default) loads the constructed extension 2025-07-17T07:12:16.3141434Z into the process as a plain dynamic library. If ``True``, build a 2025-07-17T07:12:16.3141534Z standalone executable. 2025-07-17T07:12:16.3141625Z 2025-07-17T07:12:16.3141706Z Returns: 2025-07-17T07:12:16.3141818Z If ``is_python_module`` is ``True``: 2025-07-17T07:12:16.3142001Z Returns the loaded PyTorch extension as a Python module. 2025-07-17T07:12:16.3142077Z 2025-07-17T07:12:16.3142273Z If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``: 2025-07-17T07:12:16.3142492Z Returns nothing. (The shared library is loaded into the process as 2025-07-17T07:12:16.3142582Z a side effect.) 2025-07-17T07:12:16.3142658Z 2025-07-17T07:12:16.3142777Z If ``is_standalone`` is ``True``. 2025-07-17T07:12:16.3142971Z Return the path to the executable. (On Windows, TORCH_LIB_PATH is 2025-07-17T07:12:16.3143150Z added to the PATH environment variable as a side effect.) 2025-07-17T07:12:16.3143225Z 2025-07-17T07:12:16.3143304Z Example: 2025-07-17T07:12:16.3143412Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.3143588Z >>> from torch.utils.cpp_extension import load 2025-07-17T07:12:16.3143682Z >>> module = load( 2025-07-17T07:12:16.3143791Z ... name='extension', 2025-07-17T07:12:16.3143945Z ... sources=['extension.cpp', 'extension_kernel.cu'], 2025-07-17T07:12:16.3144047Z ... extra_cflags=['-O2'], 2025-07-17T07:12:16.3144153Z ... verbose=True) 2025-07-17T07:12:16.3144231Z 2025-07-17T07:12:16.3144497Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.3144600Z 2025-07-17T07:12:16.3144694Z warnings.warn(msg) 2025-07-17T07:12:16.3144787Z 2025-07-17T07:12:16.3144991Z --- Parse Warning: 134 / 136 --- 2025-07-17T07:12:16.3145882Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_inline in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/cpp_extension.py line=1890. 2025-07-17T07:12:16.3146163Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.3146241Z 2025-07-17T07:12:16.3146462Z Load a PyTorch C++ extension just-in-time (JIT) from string sources. 2025-07-17T07:12:16.3146537Z 2025-07-17T07:12:16.3146764Z This function behaves exactly like :func:`load`, but takes its sources as 2025-07-17T07:12:16.3147007Z strings rather than filenames. These strings are stored to files in the 2025-07-17T07:12:16.3147244Z build directory, after which the behavior of :func:`load_inline` is 2025-07-17T07:12:16.3147344Z identical to :func:`load`. 2025-07-17T07:12:16.3147436Z 2025-07-17T07:12:16.3147519Z See `the 2025-07-17T07:12:16.3147845Z tests `_ 2025-07-17T07:12:16.3147985Z for good examples of using this function. 2025-07-17T07:12:16.3148064Z 2025-07-17T07:12:16.3148311Z Sources may omit two required parts of a typical non-inline C++ extension: 2025-07-17T07:12:16.3148585Z the necessary header includes, as well as the (pybind11) binding code. More 2025-07-17T07:12:16.3148823Z precisely, strings passed to ``cpp_sources`` are first concatenated into a 2025-07-17T07:12:16.3149022Z single ``.cpp`` file. This file is then prepended with ``#include 2025-07-17T07:12:16.3149122Z `` 2025-07-17T07:12:16.3149199Z 2025-07-17T07:12:16.3149435Z Furthermore, if the ``functions`` argument is supplied, bindings will be 2025-07-17T07:12:16.3149672Z automatically generated for each function specified. ``functions`` can 2025-07-17T07:12:16.3149889Z either be a list of function names, or a dictionary mapping from function 2025-07-17T07:12:16.3150118Z names to docstrings. If a list is given, the name of each function is used 2025-07-17T07:12:16.3150211Z as its docstring. 2025-07-17T07:12:16.3150303Z 2025-07-17T07:12:16.3150511Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu`` 2025-07-17T07:12:16.3150688Z file and prepended with ``torch/types.h``, ``cuda.h`` and 2025-07-17T07:12:16.3150904Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled 2025-07-17T07:12:16.3151125Z separately, but ultimately linked into a single library. Note that no 2025-07-17T07:12:16.3151349Z bindings are generated for functions in ``cuda_sources`` per se. To bind 2025-07-17T07:12:16.3151572Z to a CUDA kernel, you must create a C++ function that calls it, and either 2025-07-17T07:12:16.3151782Z declare or define this C++ function in one of the ``cpp_sources`` (and 2025-07-17T07:12:16.3151902Z include its name in ``functions``). 2025-07-17T07:12:16.3151978Z 2025-07-17T07:12:16.3152190Z The sources in ``sycl_sources`` are concatenated into a separate ``.sycl`` 2025-07-17T07:12:16.3152415Z file and prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes. 2025-07-17T07:12:16.3152636Z The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately 2025-07-17T07:12:16.3152849Z linked into a single library. Note that no bindings are generated for 2025-07-17T07:12:16.3153067Z functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must 2025-07-17T07:12:16.3153270Z create a C++ function that calls it, and either declare or define this 2025-07-17T07:12:16.3153465Z C++ function in one of the ``cpp_sources`` (and include its name 2025-07-17T07:12:16.3153556Z in ``functions``). 2025-07-17T07:12:16.3153636Z 2025-07-17T07:12:16.3153748Z 2025-07-17T07:12:16.3153823Z 2025-07-17T07:12:16.3154001Z See :func:`load` for a description of arguments omitted below. 2025-07-17T07:12:16.3154087Z 2025-07-17T07:12:16.3154167Z Args: 2025-07-17T07:12:16.3154376Z cpp_sources: A string, or list of strings, containing C++ source code. 2025-07-17T07:12:16.3154606Z cuda_sources: A string, or list of strings, containing CUDA source code. 2025-07-17T07:12:16.3154823Z sycl_sources: A string, or list of strings, containing SYCL source code. 2025-07-17T07:12:16.3155036Z functions: A list of function names for which to generate function 2025-07-17T07:12:16.3155241Z bindings. If a dictionary is given, it should map function names to 2025-07-17T07:12:16.3155417Z docstrings (which are otherwise just the function names). 2025-07-17T07:12:16.3155646Z with_cuda: Determines whether CUDA headers and libraries are added to 2025-07-17T07:12:16.3155825Z the build. If set to ``None`` (default), this value is 2025-07-17T07:12:16.3156029Z automatically determined based on whether ``cuda_sources`` is 2025-07-17T07:12:16.3156188Z provided. Set it to ``True`` to force CUDA headers 2025-07-17T07:12:16.3156294Z and libraries to be included. 2025-07-17T07:12:16.3156524Z with_sycl: Determines whether SYCL headers and libraries are added to 2025-07-17T07:12:16.3156679Z the build. If set to ``None`` (default), this value is 2025-07-17T07:12:16.3156905Z automatically determined based on whether ``sycl_sources`` is 2025-07-17T07:12:16.3157066Z provided. Set it to ``True`` to force SYCL headers 2025-07-17T07:12:16.3157170Z and libraries to be included. 2025-07-17T07:12:16.3157374Z with_pytorch_error_handling: Determines whether pytorch error and 2025-07-17T07:12:16.3157579Z warning macros are handled by pytorch instead of pybind. To do 2025-07-17T07:12:16.3157794Z this, each function ``foo`` is called via an intermediary ``_safe_foo`` 2025-07-17T07:12:16.3158004Z function. This redirection might cause issues in obscure cases 2025-07-17T07:12:16.3158182Z of cpp. This flag should be set to ``False`` when this redirect 2025-07-17T07:12:16.3158274Z causes issues. 2025-07-17T07:12:16.3158529Z no_implicit_headers: If ``True``, skips automatically adding headers, most notably 2025-07-17T07:12:16.3158752Z ``#include `` and ``#include `` lines. 2025-07-17T07:12:16.3158907Z Use this option to improve cold start times when you 2025-07-17T07:12:16.3159173Z already include the necessary headers in your source code. Default: ``False``. 2025-07-17T07:12:16.3159248Z 2025-07-17T07:12:16.3159343Z Example: 2025-07-17T07:12:16.3159489Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT) 2025-07-17T07:12:16.3159643Z >>> from torch.utils.cpp_extension import load_inline 2025-07-17T07:12:16.3159744Z >>> source = """ 2025-07-17T07:12:16.3159884Z at::Tensor sin_add(at::Tensor x, at::Tensor y) { 2025-07-17T07:12:16.3159984Z return x.sin() + y.sin(); 2025-07-17T07:12:16.3160078Z } 2025-07-17T07:12:16.3160157Z """ 2025-07-17T07:12:16.3160293Z >>> module = load_inline(name='inline_extension', 2025-07-17T07:12:16.3160420Z ... cpp_sources=[source], 2025-07-17T07:12:16.3160568Z ... functions=['sin_add']) 2025-07-17T07:12:16.3160646Z 2025-07-17T07:12:16.3160742Z .. note:: 2025-07-17T07:12:16.3160976Z Since load_inline will just-in-time compile the source code, please ensure 2025-07-17T07:12:16.3161212Z that you have the right toolchains installed in the runtime. For example, 2025-07-17T07:12:16.3161425Z when loading C++, make sure a C++ compiler is available. If you're loading 2025-07-17T07:12:16.3161666Z a CUDA extension, you will need to additionally install the corresponding CUDA 2025-07-17T07:12:16.3161951Z toolkit (nvcc and any other dependencies your code has). Compiling toolchains 2025-07-17T07:12:16.3162182Z are not included when you install torch and must be additionally installed. 2025-07-17T07:12:16.3162259Z 2025-07-17T07:12:16.3162519Z During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build 2025-07-17T07:12:16.3162734Z the extension. This may use up too many resources on some systems. One 2025-07-17T07:12:16.3162961Z can control the number of workers by setting the `MAX_JOBS` environment 2025-07-17T07:12:16.3163074Z variable to a non-negative number. 2025-07-17T07:12:16.3163149Z 2025-07-17T07:12:16.3163407Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.3163484Z 2025-07-17T07:12:16.3163579Z warnings.warn(msg) 2025-07-17T07:12:16.3163693Z 2025-07-17T07:12:16.3163890Z --- Parse Warning: 135 / 136 --- 2025-07-17T07:12:16.3164882Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ThroughputBenchmark in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/throughput_benchmark.py line=61. 2025-07-17T07:12:16.3165141Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.3165216Z 2025-07-17T07:12:16.3165547Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark. 2025-07-17T07:12:16.3165622Z 2025-07-17T07:12:16.3165913Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible 2025-07-17T07:12:16.3166169Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference 2025-07-17T07:12:16.3166394Z server like load. It can emulate multiple calling threads to a single module 2025-07-17T07:12:16.3166642Z provided. In the future we plan to enhance this component to support inter and 2025-07-17T07:12:16.3166885Z intra-op parallelism as well as multiple models running in a single process. 2025-07-17T07:12:16.3166958Z 2025-07-17T07:12:16.3167215Z Please note that even though nn.Module is supported, it might incur an overhead 2025-07-17T07:12:16.3167427Z from the need to hold GIL every time we execute Python code or pass around 2025-07-17T07:12:16.3167661Z inputs as Python objects. As soon as you have a ScriptModule version of your 2025-07-17T07:12:16.3167907Z model for inference deployment it is better to switch to using it in this 2025-07-17T07:12:16.3167991Z benchmark. 2025-07-17T07:12:16.3168082Z 2025-07-17T07:12:16.3168169Z Example:: 2025-07-17T07:12:16.3168242Z 2025-07-17T07:12:16.3168370Z >>> # xdoctest: +SKIP("undefined vars") 2025-07-17T07:12:16.3168506Z >>> from torch.utils import ThroughputBenchmark 2025-07-17T07:12:16.3168632Z >>> bench = ThroughputBenchmark(my_module) 2025-07-17T07:12:16.3168804Z >>> # Pre-populate benchmark's data set with the inputs 2025-07-17T07:12:16.3168899Z >>> for input in inputs: 2025-07-17T07:12:16.3169111Z ... # Both args and kwargs work, same as any PyTorch Module / ScriptModule 2025-07-17T07:12:16.3169249Z ... bench.add_input(input[0], x2=input[1]) 2025-07-17T07:12:16.3169632Z >>> # Inputs supplied above are randomly used during the execution 2025-07-17T07:12:16.3169816Z >>> stats = bench.benchmark( 2025-07-17T07:12:16.3169921Z ... num_calling_threads=4, 2025-07-17T07:12:16.3170022Z ... num_warmup_iters = 100, 2025-07-17T07:12:16.3170128Z ... num_iters = 1000, 2025-07-17T07:12:16.3170207Z ... ) 2025-07-17T07:12:16.3170381Z >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms)) 2025-07-17T07:12:16.3170562Z >>> print("Number of iterations: {}".format(stats.num_iters)) 2025-07-17T07:12:16.3170639Z 2025-07-17T07:12:16.3170929Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.3171018Z 2025-07-17T07:12:16.3171110Z warnings.warn(msg) 2025-07-17T07:12:16.3171198Z 2025-07-17T07:12:16.3171398Z --- Parse Warning: 136 / 136 --- 2025-07-17T07:12:16.3172345Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedSampler in modpath=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/utils/data/distributed.py line=18. 2025-07-17T07:12:16.3172623Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-07-17T07:12:16.3172820Z Sampler that restricts data loading to a subset of the dataset. 2025-07-17T07:12:16.3172898Z 2025-07-17T07:12:16.3173042Z It is especially useful in conjunction with 2025-07-17T07:12:16.3173284Z :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each 2025-07-17T07:12:16.3173591Z process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a 2025-07-17T07:12:16.3173817Z :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the 2025-07-17T07:12:16.3173947Z original dataset that is exclusive to it. 2025-07-17T07:12:16.3174037Z 2025-07-17T07:12:16.3174123Z .. note:: 2025-07-17T07:12:16.3174356Z Dataset is assumed to be of constant size and that any instance of it always 2025-07-17T07:12:16.3174552Z returns the same elements in the same order. 2025-07-17T07:12:16.3174629Z 2025-07-17T07:12:16.3174709Z Args: 2025-07-17T07:12:16.3174839Z dataset: Dataset used for sampling. 2025-07-17T07:12:16.3175050Z num_replicas (int, optional): Number of processes participating in 2025-07-17T07:12:16.3175305Z distributed training. By default, :attr:`world_size` is retrieved from the 2025-07-17T07:12:16.3175417Z current distributed group. 2025-07-17T07:12:16.3175652Z rank (int, optional): Rank of the current process within :attr:`num_replicas`. 2025-07-17T07:12:16.3175860Z By default, :attr:`rank` is retrieved from the current distributed 2025-07-17T07:12:16.3175943Z group. 2025-07-17T07:12:16.3176160Z shuffle (bool, optional): If ``True`` (default), sampler will shuffle the 2025-07-17T07:12:16.3176261Z indices. 2025-07-17T07:12:16.3176451Z seed (int, optional): random seed used to shuffle the sampler if 2025-07-17T07:12:16.3176655Z :attr:`shuffle=True`. This number should be identical across all 2025-07-17T07:12:16.3176817Z processes in the distributed group. Default: ``0``. 2025-07-17T07:12:16.3177023Z drop_last (bool, optional): if ``True``, then the sampler will drop the 2025-07-17T07:12:16.3177238Z tail of the data to make it evenly divisible across the number of 2025-07-17T07:12:16.3177434Z replicas. If ``False``, the sampler will add extra indices to make 2025-07-17T07:12:16.3177642Z the data evenly divisible across the replicas. Default: ``False``. 2025-07-17T07:12:16.3177732Z 2025-07-17T07:12:16.3177821Z .. warning:: 2025-07-17T07:12:16.3178023Z In distributed mode, calling the :meth:`set_epoch` method at 2025-07-17T07:12:16.3178270Z the beginning of each epoch **before** creating the :class:`DataLoader` iterator 2025-07-17T07:12:16.3178569Z is necessary to make shuffling work properly across multiple epochs. Otherwise, 2025-07-17T07:12:16.3178705Z the same ordering will be always used. 2025-07-17T07:12:16.3178783Z 2025-07-17T07:12:16.3178870Z Example:: 2025-07-17T07:12:16.3178962Z 2025-07-17T07:12:16.3179143Z >>> # xdoctest: +SKIP 2025-07-17T07:12:16.3179365Z >>> sampler = DistributedSampler(dataset) if is_distributed else None 2025-07-17T07:12:16.3179552Z >>> loader = DataLoader(dataset, shuffle=(sampler is None), 2025-07-17T07:12:16.3179697Z ... sampler=sampler) 2025-07-17T07:12:16.3179843Z >>> for epoch in range(start_epoch, n_epochs): 2025-07-17T07:12:16.3179945Z ... if is_distributed: 2025-07-17T07:12:16.3180060Z ... sampler.set_epoch(epoch) 2025-07-17T07:12:16.3180169Z ... train(loader) 2025-07-17T07:12:16.3180251Z 2025-07-17T07:12:16.3180503Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0)) 2025-07-17T07:12:16.3180596Z 2025-07-17T07:12:16.3180695Z warnings.warn(msg) 2025-07-17T07:12:16.3180774Z 2025-07-17T07:12:16.3180906Z  2025-07-17T07:12:16.3181133Z === Found 9 run-time warnings === 2025-07-17T07:12:16.3181325Z --- Runtime Warning: 1 / 9 --- 2025-07-17T07:12:16.3181589Z example = 2025-07-17T07:12:16.3182969Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/_tensor.py:1351: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1978.) 2025-07-17T07:12:16.3183093Z return super().refine_names(names) 2025-07-17T07:12:16.3183173Z 2025-07-17T07:12:16.3183365Z --- Runtime Warning: 2 / 9 --- 2025-07-17T07:12:16.3183701Z example = 2025-07-17T07:12:16.3184322Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/library.py:281: UserWarning: Warning only once for all operators, other operators may also be overridden. 2025-07-17T07:12:16.3184643Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-07-17T07:12:16.3184846Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-07-17T07:12:16.3185145Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-07-17T07:12:16.3185251Z dispatch key: CPU 2025-07-17T07:12:16.3185677Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-07-17T07:12:16.3186247Z new kernel: registered at /dev/null:811 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:225.) 2025-07-17T07:12:16.3186400Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-07-17T07:12:16.3186476Z 2025-07-17T07:12:16.3186663Z --- Runtime Warning: 3 / 9 --- 2025-07-17T07:12:16.3186895Z example = 2025-07-17T07:12:16.3188739Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:182.) 2025-07-17T07:12:16.3188986Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-07-17T07:12:16.3189065Z 2025-07-17T07:12:16.3189276Z --- Runtime Warning: 4 / 9 --- 2025-07-17T07:12:16.3189525Z example = 2025-07-17T07:12:16.3191138Z :1: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:55.) 2025-07-17T07:12:16.3191271Z 2025-07-17T07:12:16.3191453Z --- Runtime Warning: 5 / 9 --- 2025-07-17T07:12:16.3191756Z example = 2025-07-17T07:12:16.3193253Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/fx/experimental/const_fold.py:271: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer 2025-07-17T07:12:16.3193427Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-07-17T07:12:16.3193504Z 2025-07-17T07:12:16.3193685Z --- Runtime Warning: 6 / 9 --- 2025-07-17T07:12:16.3194000Z example = 2025-07-17T07:12:16.3195070Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-07-17T07:12:16.3195176Z warnings.warn( 2025-07-17T07:12:16.3195252Z 2025-07-17T07:12:16.3195424Z --- Runtime Warning: 7 / 9 --- 2025-07-17T07:12:16.3195789Z example = 2025-07-17T07:12:16.3196858Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-07-17T07:12:16.3196962Z warnings.warn( 2025-07-17T07:12:16.3197039Z 2025-07-17T07:12:16.3197212Z --- Runtime Warning: 8 / 9 --- 2025-07-17T07:12:16.3197495Z example = 2025-07-17T07:12:16.3198299Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-07-17T07:12:16.3198429Z WeightNorm.apply(module, name, dim) 2025-07-17T07:12:16.3198508Z 2025-07-17T07:12:16.3198680Z --- Runtime Warning: 9 / 9 --- 2025-07-17T07:12:16.3198993Z example = 2025-07-17T07:12:16.3199796Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-07-17T07:12:16.3199916Z WeightNorm.apply(module, name, dim) 2025-07-17T07:12:16.3200006Z 2025-07-17T07:12:16.3200300Z === 342 passed, 377 skipped, 145 warnings in 14.58 seconds === 2025-07-17T07:12:16.3200528Z Running test_namedtuple_return_api 1/1 ... [2025-07-17 07:12:16.129835] 2025-07-17T07:12:16.3200635Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:12:16.3201523Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:12:16.130233] 2025-07-17T07:12:20.4512681Z 2025-07-17T07:12:20.4513984Z test_namedtuple_return_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtuple_return_api_1.1_689921e25e534e5d_.log 2025-07-17T07:12:20.4516310Z Running 3 items in this shard: test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_import_return_types, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_namedtuple_return, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_native_functions_yaml 2025-07-17T07:12:20.4517765Z 2025-07-17T07:12:20.4517915Z Running test_nn 1/1 ... [2025-07-17 07:12:20.451433] 2025-07-17T07:12:20.4518410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:12:20.4520353Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:12:20.451768] 2025-07-17T07:14:59.3125254Z 2025-07-17T07:14:59.3126424Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_9664cd09eb739c7b_.log 2025-07-17T07:14:59.4348932Z Running 2223 items in this shard: test/test_nn.py::TestNN::test_AdaptiveLogSoftmax, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_reduce, test/test_nn.py::TestNN::test_BCELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_CELU_no_batch_dim, test/test_nn.py::TestNN::test_CELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_CTCLoss_critical_target_len, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cpu, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cuda, test/test_nn.py::TestNN::test_CTCLoss_long_targets, test/test_nn.py::TestNN::test_CTCLoss_typechecks, test/test_nn.py::TestNN::test_CTCLoss_zero_infinity, test/test_nn.py::TestNN::test_CTCLoss_zero_lengths, test/test_nn.py::TestNN::test_Conv1d, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_cuda, test/test_nn.py::TestNN::test_Conv1d_dilated, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_groups, test/test_nn.py::TestNN::test_Conv1d_groups_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1size1, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2size1, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same, test/test_nn.py::TestNN::test_Conv1d_pad_same2, test/test_nn.py::TestNN::test_Conv1d_pad_same2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_valid, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_stride, test/test_nn.py::TestNN::test_Conv1d_stride_cuda, test/test_nn.py::TestNN::test_Conv1d_zero_batch, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups, test/test_nn.py::TestNN::test_Conv2d_groups_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same, test/test_nn.py::TestNN::test_Conv2d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_valid, test/test_nn.py::TestNN::test_Conv2d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv2d_padding, test/test_nn.py::TestNN::test_Conv2d_padding_cuda, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_strided, test/test_nn.py::TestNN::test_Conv2d_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated_strided, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda, test/test_nn.py::TestNN::test_Conv3d_groups, test/test_nn.py::TestNN::test_Conv3d_groups_cuda, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias, test/test_nn.py::TestNN::test_Conv3d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_valid, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_stride, test/test_nn.py::TestNN::test_Conv3d_stride_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch, test/test_nn.py::TestNN::test_Conv3d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_groups, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_CrossMapLRN2d, test/test_nn.py::TestNN::test_CrossMapLRN2d_cuda, test/test_nn.py::TestNN::test_ELU_no_batch_dim, test/test_nn.py::TestNN::test_ELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Embedding, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max, test/test_nn.py::TestNN::test_EmbeddingBag_max_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean, test/test_nn.py::TestNN::test_EmbeddingBag_mean_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sparse, test/test_nn.py::TestNN::test_EmbeddingBag_sparse_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum, test/test_nn.py::TestNN::test_EmbeddingBag_sum_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx_cuda, test/test_nn.py::TestNN::test_Embedding_cuda, test/test_nn.py::TestNN::test_Embedding_discontiguous, test/test_nn.py::TestNN::test_Embedding_discontiguous_cuda, test/test_nn.py::TestNN::test_Embedding_sparse, test/test_nn.py::TestNN::test_Embedding_sparse_cuda, test/test_nn.py::TestNN::test_Flatten, test/test_nn.py::TestNN::test_Flatten_cuda, test/test_nn.py::TestNN::test_Flatten_no_batch_dim, test/test_nn.py::TestNN::test_Flatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Fold, test/test_nn.py::TestNN::test_Fold_cuda, test/test_nn.py::TestNN::test_Fold_int_input, test/test_nn.py::TestNN::test_Fold_int_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input_cuda, test/test_nn.py::TestNN::test_GELU_no_batch_dim, test/test_nn.py::TestNN::test_GELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_GLU_no_batch_dim, test/test_nn.py::TestNN::test_GLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_HuberLoss_delta, test/test_nn.py::TestNN::test_HuberLoss_delta_cuda, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_reduce, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_LSTM_cell, test/test_nn.py::TestNN::test_LSTM_cell_forward_hidden_size, test/test_nn.py::TestNN::test_LSTM_cell_forward_input_size, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_cuda, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval_cuda, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear, test/test_nn.py::TestNN::test_Linear_cuda, test/test_nn.py::TestNN::test_Linear_no_batch_dim, test/test_nn.py::TestNN::test_Linear_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear_no_bias, test/test_nn.py::TestNN::test_Linear_no_bias_cuda, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_reduce, test/test_nn.py::TestNN::test_MSELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MaxUnpool1d_net, test/test_nn.py::TestNN::test_MaxUnpool1d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net, test/test_nn.py::TestNN::test_MaxUnpool2d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net, test/test_nn.py::TestNN::test_MaxUnpool3d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Mish_no_batch_dim, test/test_nn.py::TestNN::test_Mish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ModuleDict, test/test_nn.py::TestNN::test_ModuleList, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_reduce, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_nn.py::TestNN::test_PReLU_backward_requires_grad_false, test/test_nn.py::TestNN::test_PReLU_no_batch_dim, test/test_nn.py::TestNN::test_PReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args_cuda, test/test_nn.py::TestNN::test_ParameterDict, test/test_nn.py::TestNN::test_ParameterDict_replication, test/test_nn.py::TestNN::test_ParameterList, test/test_nn.py::TestNN::test_ParameterList_meta, test/test_nn.py::TestNN::test_ParameterList_replication, test/test_nn.py::TestNN::test_PixelShuffle, test/test_nn.py::TestNN::test_PixelShuffle_cuda, test/test_nn.py::TestNN::test_PixelUnshuffle, test/test_nn.py::TestNN::test_PixelUnshuffle_cuda, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_RNN_cell, test/test_nn.py::TestNN::test_RNN_cell_forward_zero_hidden_size, test/test_nn.py::TestNN::test_RNN_cell_no_broadcasting, test/test_nn.py::TestNN::test_RNN_change_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_no_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_with_dropout, test/test_nn.py::TestNN::test_RNN_cudnn_weight_norm, test/test_nn.py::TestNN::test_RNN_dropout, test/test_nn.py::TestNN::test_RNN_dropout_state, test/test_nn.py::TestNN::test_RNN_input_size_zero, test/test_nn.py::TestNN::test_RNN_nonlinearity, test/test_nn.py::TestNN::test_RNN_nonlinearity_passed_as_arg, test/test_nn.py::TestNN::test_RReLU, test/test_nn.py::TestNN::test_RReLU_cuda, test/test_nn.py::TestNN::test_RReLU_no_batch_dim, test/test_nn.py::TestNN::test_RReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down, test/test_nn.py::TestNN::test_RReLU_with_up_down_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar_cuda, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReLU_no_batch_dim, test/test_nn.py::TestNN::test_ReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d, test/test_nn.py::TestNN::test_ReplicationPad3d_complex, test/test_nn.py::TestNN::test_ReplicationPad3d_complex_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SELU_no_batch_dim, test/test_nn.py::TestNN::test_SELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sequential_add, test/test_nn.py::TestNN::test_Sequential_append, test/test_nn.py::TestNN::test_Sequential_delitem, test/test_nn.py::TestNN::test_Sequential_extend, test/test_nn.py::TestNN::test_Sequential_getitem, test/test_nn.py::TestNN::test_Sequential_iadd, test/test_nn.py::TestNN::test_Sequential_imul, test/test_nn.py::TestNN::test_Sequential_insert, test/test_nn.py::TestNN::test_Sequential_insert_fail_case, test/test_nn.py::TestNN::test_Sequential_mul, test/test_nn.py::TestNN::test_Sequential_pop, test/test_nn.py::TestNN::test_Sequential_rmul, test/test_nn.py::TestNN::test_Sequential_setitem, test/test_nn.py::TestNN::test_Sequential_setitem_named, test/test_nn.py::TestNN::test_SiLU_no_batch_dim, test/test_nn.py::TestNN::test_SiLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_beta_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta_cuda, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_Softplus_no_batch_dim, test/test_nn.py::TestNN::test_Softplus_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softsign_no_batch_dim, test/test_nn.py::TestNN::test_Softsign_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanh_no_batch_dim, test/test_nn.py::TestNN::test_Tanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Threshold_no_batch_dim, test/test_nn.py::TestNN::test_Threshold_no_batch_dim_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_Transformer_cell, test/test_nn.py::TestNN::test_Transformer_multilayer_coder, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Unfold, test/test_nn.py::TestNN::test_Unfold_cuda, test/test_nn.py::TestNN::test_Unfold_int_input, test/test_nn.py::TestNN::test_Unfold_int_input_cuda, test/test_nn.py::TestNN::test_adaptive_log_softmax, test/test_nn.py::TestNN::test_add_module, test/test_nn.py::TestNN::test_add_module_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_affine_grid, test/test_nn.py::TestNN::test_affine_grid_3d, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_2, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_3, test/test_nn.py::TestNN::test_affine_grid_error_checking, test/test_nn.py::TestNN::test_assignment, test/test_nn.py::TestNN::test_batch_norm_update_stats, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_buffer_update_when_stats_are_not_tracked, test/test_nn.py::TestNN::test_batchnorm_cudnn_half, test/test_nn.py::TestNN::test_batchnorm_cudnn_nhwc, test/test_nn.py::TestNN::test_batchnorm_half_overflow, test/test_nn.py::TestNN::test_batchnorm_load_state_dict, test/test_nn.py::TestNN::test_batchnorm_nhwc_cpu, test/test_nn.py::TestNN::test_batchnorm_nhwc_cuda, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_BatchNorm2d, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_SyncBatchNorm, test/test_nn.py::TestNN::test_batchnorm_nonaffine_cuda_half_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_bias_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_less_than_one_value_per_channel, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_weight_is_not_same_size_as_input, test/test_nn.py::TestNN::test_bce_loss_always_nonnegative, test/test_nn.py::TestNN::test_bce_loss_broadcasts_weights, test/test_nn.py::TestNN::test_bce_loss_input_range, test/test_nn.py::TestNN::test_bce_loss_size_mismatch, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_pos_weights, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_weights, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_forward_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none, test/test_nn.py::TestNN::test_bce_with_logits_raises_if_target_and_input_are_different_size, test/test_nn.py::TestNN::test_bce_with_logits_stability, test/test_nn.py::TestNN::test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bilinear, test/test_nn.py::TestNN::test_bilinear_broadcasting, test/test_nn.py::TestNN::test_bilinear_no_bias, test/test_nn.py::TestNN::test_bilinear_non_contiguous, test/test_nn.py::TestNN::test_bilinear_value_error, test/test_nn.py::TestNN::test_broadcast_double_backwards_gpu, test/test_nn.py::TestNN::test_broadcast_no_grad, test/test_nn.py::TestNN::test_broadcast_not_requiring_grad, test/test_nn.py::TestNN::test_buffer_bad_module_subclass, test/test_nn.py::TestNN::test_buffer_not_persistent, test/test_nn.py::TestNN::test_buffer_not_persistent_assign, test/test_nn.py::TestNN::test_buffer_not_persistent_del, test/test_nn.py::TestNN::test_buffer_not_persistent_load, test/test_nn.py::TestNN::test_buffer_not_persistent_overwrite, test/test_nn.py::TestNN::test_buffers_and_named_buffers, test/test_nn.py::TestNN::test_call_supports_python_dict_output, test/test_nn.py::TestNN::test_channel_shuffle_input_checks, test/test_nn.py::TestNN::test_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_children, test/test_nn.py::TestNN::test_container_copy, test/test_nn.py::TestNN::test_convert_sync_batchnorm, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_diff_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_nonexpandable_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_invalid_shape, test/test_nn.py::TestNN::test_cosine_embedding_loss_margin_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_with_diff_type, test/test_nn.py::TestNN::test_cosine_similarity, test/test_nn.py::TestNN::test_cross_entropy_loss, test/test_nn.py::TestNN::test_cross_entropy_loss_precision, test/test_nn.py::TestNN::test_cross_entropy_loss_zero_div, test/test_nn.py::TestNN::test_cudnn_forward_exception, test/test_nn.py::TestNN::test_cudnn_rnn_dropout_states_device, test/test_nn.py::TestNN::test_cudnn_weight_format, test/test_nn.py::TestNN::test_cudnn_weight_tying, test/test_nn.py::TestNN::test_dir, test/test_nn.py::TestNN::test_dir_digit, test/test_nn.py::TestNN::test_elu_inplace_gradgrad, test/test_nn.py::TestNN::test_elu_inplace_on_view, test/test_nn.py::TestNN::test_error_RNN_seq_len_zero, test/test_nn.py::TestNN::test_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_get_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_set_extra_state, test/test_nn.py::TestNN::test_extra_state_non_dict, test/test_nn.py::TestNN::test_fb_fc_packed, test/test_nn.py::TestNN::test_flatten, test/test_nn.py::TestNN::test_fold_invalid_arg, test/test_nn.py::TestNN::test_fractional_max_pool2d_invalid_output_ratio, test/test_nn.py::TestNN::test_gaussian_nll_loss_args, test/test_nn.py::TestNN::test_gaussian_nll_loss_broadcasting, test/test_nn.py::TestNN::test_gaussian_nll_loss_scalar_var, test/test_nn.py::TestNN::test_get_buffer, test/test_nn.py::TestNN::test_get_buffer_from_submodules, test/test_nn.py::TestNN::test_getattr_with_property, test/test_nn.py::TestNN::test_grid_sample, test/test_nn.py::TestNN::test_grid_sample_3d, test/test_nn.py::TestNN::test_grid_sample_error_checking, test/test_nn.py::TestNN::test_grid_sample_nearest_neighbor_rounding_mode_consistency, test/test_nn.py::TestNN::test_hardtanh_backward, test/test_nn.py::TestNN::test_hardtanh_inplace_gradgrad, test/test_nn.py::TestNN::test_huber_loss_invalid_delta, test/test_nn.py::TestNN::test_inplace_thnn, test/test_nn.py::TestNN::test_interpolate, test/test_nn.py::TestNN::test_interpolate_bicubic_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_buffer_overflow, test/test_nn.py::TestNN::test_interpolate_illegal_memory_access, test/test_nn.py::TestNN::test_interpolate_linear_1d, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d, test/test_nn.py::TestNN::test_interpolate_nearest_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d, test/test_nn.py::TestNN::test_interpolate_nearest_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d, test/test_nn.py::TestNN::test_interpolate_nearest_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_undefined_behavior_casting, test/test_nn.py::TestNN::test_kl_div_log_softmax_target, test/test_nn.py::TestNN::test_kl_div_with_diff_type, test/test_nn.py::TestNN::test_kl_div_with_diff_type_log_target, test/test_nn.py::TestNN::test_l1_loss_correct, test/test_nn.py::TestNN::test_layer_norm_backwards_eps, test/test_nn.py::TestNN::test_layer_norm_eps, test/test_nn.py::TestNN::test_layer_norm_grads_with_create_graph_flag, test/test_nn.py::TestNN::test_layer_norm_large_tensor, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightStrided, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightStrided, test/test_nn.py::TestNN::test_linear_broadcasting, test/test_nn.py::TestNN::test_linear_raise_on_scalar_input, test/test_nn.py::TestNN::test_log_softmax_dim0, test/test_nn.py::TestNN::test_log_softmax_dim0_cuda, test/test_nn.py::TestNN::test_log_softmax_dim3, test/test_nn.py::TestNN::test_log_softmax_dim3_cuda, test/test_nn.py::TestNN::test_log_softmax_lastdim, test/test_nn.py::TestNN::test_log_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_log_softmax_scalar, test/test_nn.py::TestNN::test_log_softmax_scalar_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial, test/test_nn.py::TestNN::test_log_softmax_spatial_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial_special, test/test_nn.py::TestNN::test_log_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_loss_equal_input_target_shape, test/test_nn.py::TestNN::test_margin_ranking_loss_margin_no_reduce, test/test_nn.py::TestNN::test_margin_ranking_loss_no_reduce, test/test_nn.py::TestNN::test_max_pool1d_invalid_output_size, test/test_nn.py::TestNN::test_module_apply_inplace_op, test/test_nn.py::TestNN::test_module_backcompat, test/test_nn.py::TestNN::test_module_super_init, test/test_nn.py::TestNN::test_module_to_argparse, test/test_nn.py::TestNN::test_modules, test/test_nn.py::TestNN::test_mse_loss_size_warning, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_nn.py::TestNN::test_named_children, test/test_nn.py::TestNN::test_named_modules, test/test_nn.py::TestNN::test_named_parameters_remove_duplicate, test/test_nn.py::TestNN::test_native_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_nested_tensor_from_mask, test/test_nn.py::TestNN::test_nested_tensor_from_mask_error, test/test_nn.py::TestNN::test_no_grad, test/test_nn.py::TestNN::test_non_leaf_parameters, test/test_nn.py::TestNN::test_normalize, test/test_nn.py::TestNN::test_overwrite_module_params_on_conversion, test/test_nn.py::TestNN::test_pack_sequence_batch_sizes_throw, test/test_nn.py::TestNN::test_pad_scalar_error, test/test_nn.py::TestNN::test_padding_list, test/test_nn.py::TestNN::test_pairwise_distance, test/test_nn.py::TestNN::test_parameter_assignment, test/test_nn.py::TestNN::test_parameterlistdict_pickle, test/test_nn.py::TestNN::test_parameterlistdict_setting_attributes, test/test_nn.py::TestNN::test_parameters_and_named_parameters, test/test_nn.py::TestNN::test_parameters_to_vector, test/test_nn.py::TestNN::test_parse_to, test/test_nn.py::TestNN::test_partial_flat_weights, test/test_nn.py::TestNN::test_pdist, test/test_nn.py::TestNN::test_pdist_cpu_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_cuda_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_empty_col, test/test_nn.py::TestNN::test_pdist_empty_row, test/test_nn.py::TestNN::test_pdist_large, test/test_nn.py::TestNN::test_pdist_zeros, test/test_nn.py::TestNN::test_pickle_module_no_weights_only_warning, test/test_nn.py::TestNN::test_pixel_shuffle_nhwc_cpu, test/test_nn.py::TestNN::test_pixel_shuffle_unshuffle, test/test_nn.py::TestNN::test_pointwise_loss_broadcast, test/test_nn.py::TestNN::test_pointwise_loss_target_grad_none_reduction, test/test_nn.py::TestNN::test_projections_errors_on_gru_and_rnn, test/test_nn.py::TestNN::test_projections_lstm_args_check, test/test_nn.py::TestNN::test_projections_lstm_check_device, test/test_nn.py::TestNN::test_projections_lstm_initial_hidden_state, test/test_nn.py::TestNN::test_register_buffer_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_not_tensor, test/test_nn.py::TestNN::test_register_parameter_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_relu_inplace_on_view, test/test_nn.py::TestNN::test_repr, test/test_nn.py::TestNN::test_requires_grad_, test/test_nn.py::TestNN::test_rnn_args_check, test/test_nn.py::TestNN::test_rnn_check_device, test/test_nn.py::TestNN::test_rnn_initial_hidden_state, test/test_nn.py::TestNN::test_rnn_weight_norm, test/test_nn.py::TestNN::test_set_submodule, test/test_nn.py::TestNN::test_share_memory, test/test_nn.py::TestNN::test_smoothl1loss_intergral_target, test/test_nn.py::TestNN::test_smoothl1loss_negative_beta_not_supported, test/test_nn.py::TestNN::test_softmax_functional_dim0, test/test_nn.py::TestNN::test_softmax_functional_dim0_cuda, test/test_nn.py::TestNN::test_softmax_functional_dim3, test/test_nn.py::TestNN::test_softmax_functional_dim3_cuda, test/test_nn.py::TestNN::test_softmax_functional_scalar, test/test_nn.py::TestNN::test_softmax_functional_scalar_cuda, test/test_nn.py::TestNN::test_softmax_lastdim, test/test_nn.py::TestNN::test_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_softmax_lastdim_dtype, test/test_nn.py::TestNN::test_softmax_lastdim_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial, test/test_nn.py::TestNN::test_softmax_spatial_cuda, test/test_nn.py::TestNN::test_softmax_spatial_dtype, test/test_nn.py::TestNN::test_softmax_spatial_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial_special, test/test_nn.py::TestNN::test_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_softmin, test/test_nn.py::TestNN::test_spectral_norm, test/test_nn.py::TestNN::test_spectral_norm_dim, test/test_nn.py::TestNN::test_spectral_norm_forward, test/test_nn.py::TestNN::test_spectral_norm_load_state_dict, test/test_nn.py::TestNN::test_spectral_norm_pickle, test/test_nn.py::TestNN::test_state_dict, test/test_nn.py::TestNN::test_swap_module_params_poisons_acc_grad, test/test_nn.py::TestNN::test_sync_batchnorm_accuracy_cuda, test/test_nn.py::TestNN::test_sync_batchnorm_backward_elemt, test/test_nn.py::TestNN::test_threshold_bfloat16_half, test/test_nn.py::TestNN::test_threshold_int, test/test_nn.py::TestNN::test_to, test/test_nn.py::TestNN::test_train_errors_for_invalid_mode, test/test_nn.py::TestNN::test_transformer_args_check, test/test_nn.py::TestNN::test_transformer_layer_args_check, test/test_nn.py::TestNN::test_transformerdecoder, test/test_nn.py::TestNN::test_transformerdecoderlayer, test/test_nn.py::TestNN::test_transformerdecoderlayer_gelu, test/test_nn.py::TestNN::test_triplet_margin_loss, test/test_nn.py::TestNN::test_triplet_margin_loss_no_reduce, test/test_nn.py::TestNN::test_triplet_margin_loss_swap, test/test_nn.py::TestNN::test_triplet_margin_loss_swap_no_reduce, test/test_nn.py::TestNN::test_type, test/test_nn.py::TestNN::test_unflatten, test/test_nn.py::TestNN::test_unflatten_invalid_arg, test/test_nn.py::TestNN::test_unfold_invalid_arg, test/test_nn.py::TestNN::test_upsamplingBilinear2d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingLinear1d, test/test_nn.py::TestNN::test_upsamplingLinear1d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingTrilinear3d_spatial_invariance, test/test_nn.py::TestNN::test_upsampling_bfloat16, test/test_nn.py::TestNN::test_upsampling_not_recompute_scale_factor, test/test_nn.py::TestNN::test_upsampling_small_scale, test/test_nn.py::TestNN::test_vector_to_parameters, test/test_nn.py::TestNN::test_weight_norm, test/test_nn.py::TestNN::test_weight_norm_pickle, test/test_nn.py::TestNN::test_weighted_huber_loss, test/test_nn.py::TestNN::test_weighted_l1_loss_with_weights, test/test_nn.py::TestNN::test_weighted_mse_loss, test/test_nn.py::TestNN::test_zero_grad, test/test_nn.py::TestFusionEval::test_fuse_module_eval_numerics, test/test_nn.py::TestConstantPadNd::test_constant_pad_nd, test/test_nn.py::TestConstantPadNd::test_preserves_memory_format, test/test_nn.py::TestAddRelu::test_add_relu, test/test_nn.py::TestAddRelu::test_add_relu_broadcasting, test/test_nn.py::TestFunctionalPickle::test_pickle_softsign, test/test_nn.py::TestFusionUtils::test_fuse_conv_bn_requires_grad, test/test_nn.py::TestFusionUtils::test_fuse_linear_bn_requires_grad, test/test_nn.py::TestUtils::test_consume_prefix_in_state_dict_if_present, test/test_nn.py::TestNNDeviceTypeCPU::test_BatchNorm_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_Bilinear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_empty_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GRU_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_memory_format_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_raises_error_if_one_value_per_group_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm1d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm2d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm3d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LocalResponseNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_warnings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_deterministic_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_fails_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad1d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Transformer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Unfold_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_adaptiveavg_pool1d_shmem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate45_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate90_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_3d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_update_stats_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_channel_shuffle_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_error_if_nonfinite_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_errors_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_weight_ignore_indices_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_with_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_index_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_one_hot_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_all_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cpu_length_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_device_mask_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_with_neg_alpha_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_fold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_glu_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_bfloat16_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_hardsigmoid_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_for_single_spatial_element_during_training_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_less_than_one_value_per_channel_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_invalid_reduction_strings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_weight_bias_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_neg_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_zero_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_linear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_big_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_logsigmoid_out_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_lstmcell_backward_only_one_output_grad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_TxT_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_devices_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_forward_with_nans_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_mask_types_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_transformer_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_non_recursive_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mse_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_all_ignored_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_byte_target_matches_long_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_mean_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_none_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_sum_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_target_dim_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_mismatched_batch_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_out_of_bounds_ignore_index_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_total_weight_is_zero_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nonlinearity_propagate_nan_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_one_hot_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_overwrite_module_params_on_conversion_cpu_device_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_prelu_backward_32bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_replicatepad_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_retain_variables_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_save_lstm_compatibility_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_silu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_skip_init_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_vs_huber_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smoothl1loss_backward_zero_beta_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_smem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_grad_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_without_fully_vectorized_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_double_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_forward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_results_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_low_threshold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_negative_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_threshold_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_fast_path_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_gelu_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_default_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_correctness_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_fail_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_rocm_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_rescale_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingnearest2d_backward_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_variable_sequence_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float32 2025-07-17T07:14:59.5519462Z 2025-07-17T07:14:59.5519700Z Running test_spectral_ops 1/1 ... [2025-07-17 07:14:59.317108] 2025-07-17T07:14:59.5520115Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:14:59.5521189Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:14:59.317623] 2025-07-17T07:15:10.8026533Z 2025-07-17T07:15:10.8027511Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_ca9cd696017e35ca_.log 2025-07-17T07:15:10.8120577Z Running 281 items in this shard: test/test_spectral_ops.py::TestFFTCPU::test_batch_istft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_istft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_definition_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_onesided_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_plan_cache_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_ifft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft2_fftn_equivalence_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft2_fftn_equivalence_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft2_invalid_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft2_numpy_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft2_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_fftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ifftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_irfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors__refs_fft_rfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_fftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ifftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_irfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft2_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft2_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfft_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfftn_cpu_bfloat16, test/test_spectral_ops.py::TestFFTCPU::test_fft_half_and_bfloat16_errors_fft_rfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_ifft_rfft_irfft_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_input_modification_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft_invalid_dtypes_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft_plan_repeatable_cpu, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft_round_trip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fft_type_promotion_cpu_int8, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_numpy_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_out_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftfreq_out_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid__refs_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ifftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_irfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_invalid_fft_rfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_noop_transform_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftn_round_trip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_frequencies_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_frequencies_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_fftshift_numpy_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_hfftn_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float16, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_ihfftn_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_against_librosa_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_linearity_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_of_sine_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_simple_cases_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_various_params_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_round_trip_with_padding_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_istft_throws_cpu, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d__refs_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ifft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ifft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_ihfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_irfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_irfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_1d_fft_rfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd__refs_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_ifftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_reference_nd_fft_irfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_stft_align_to_window_only_requires_non_center_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_complex_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_requires_window_cpu, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_stft_roundtrip_complex_window_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_stft_window_device_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_fftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_hfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ifftshift_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_ihfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_irfftn_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft2_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfft_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftfreq_cpu, test/test_spectral_ops.py::TestFFTDocExamplesCPU::test_rfftn_cpu 2025-07-17T07:15:10.8211486Z 2025-07-17T07:15:10.8211773Z Running distributions/test_distributions 1/1 ... [2025-07-17 07:15:10.803024] 2025-07-17T07:15:10.8212265Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:15:10.8213392Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:15:10.803363] 2025-07-17T07:16:11.7552166Z 2025-07-17T07:16:11.7553732Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_c847f4aa8e886f0f_.log 2025-07-17T07:16:11.7647776Z Running 230 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_argmax_relaxed_categorical, test/distributions/test_distributions.py::TestDistributions::test_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_beta_log_prob, test/distributions/test_distributions.py::TestDistributions::test_beta_sample, test/distributions/test_distributions.py::TestDistributions::test_beta_shape, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow_gpu, test/distributions/test_distributions.py::TestDistributions::test_binomial, test/distributions/test_distributions.py::TestDistributions::test_binomial_bfloat16, test/distributions/test_distributions.py::TestDistributions::test_binomial_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_binomial_extreme_vals, test/distributions/test_distributions.py::TestDistributions::test_binomial_half, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_stable, test/distributions/test_distributions.py::TestDistributions::test_binomial_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_cauchy, test/distributions/test_distributions.py::TestDistributions::test_cdf_icdf_inverse, test/distributions/test_distributions.py::TestDistributions::test_cdf_log_prob, test/distributions/test_distributions.py::TestDistributions::test_chi2_sample, test/distributions/test_distributions.py::TestDistributions::test_chi2_shape, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob_zero, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_mode, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_sample, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributions::test_distribution_expand, test/distributions/test_distributions.py::TestDistributions::test_distribution_subclass_expand, test/distributions/test_distributions.py::TestDistributions::test_enumerate_support_type, test/distributions/test_distributions.py::TestDistributions::test_exponential, test/distributions/test_distributions.py::TestDistributions::test_exponential_sample, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_shape, test/distributions/test_distributions.py::TestDistributions::test_gamma_log_prob_at_boundary, test/distributions/test_distributions.py::TestDistributions::test_gamma_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_shape, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto, test/distributions/test_distributions.py::TestDistributions::test_generalized_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_geometric, test/distributions/test_distributions.py::TestDistributions::test_geometric_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_geometric_sample, test/distributions/test_distributions.py::TestDistributions::test_gumbel, test/distributions/test_distributions.py::TestDistributions::test_gumbel_sample, test/distributions/test_distributions.py::TestDistributions::test_halfcauchy, test/distributions/test_distributions.py::TestDistributions::test_halfnormal, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_halfnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_has_examples, test/distributions/test_distributions.py::TestDistributions::test_independent_expand, test/distributions/test_distributions.py::TestDistributions::test_independent_shape, test/distributions/test_distributions.py::TestDistributions::test_invalid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_inversegamma, test/distributions/test_distributions.py::TestDistributions::test_inversegamma_sample, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_mean_variance, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_shape, test/distributions/test_distributions.py::TestDistributions::test_laplace, test/distributions/test_distributions.py::TestDistributions::test_laplace_sample, test/distributions/test_distributions.py::TestDistributions::test_lazy_property_grad, test/distributions/test_distributions.py::TestDistributions::test_lkj_cholesky_log_prob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lognormal, test/distributions/test_distributions.py::TestDistributions::test_lognormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_lognormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_sample, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributions::test_mode, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_multinomial_2d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_sequential_draw, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_normal, test/distributions/test_distributions.py::TestDistributions::test_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_pareto, test/distributions/test_distributions.py::TestDistributions::test_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_forward_ad, test/distributions/test_distributions.py::TestDistributions::test_poisson_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_log_prob, test/distributions/test_distributions.py::TestDistributions::test_poisson_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_shape, test/distributions/test_distributions.py::TestDistributions::test_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_repr, test/distributions/test_distributions.py::TestDistributions::test_rounded_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_rsample_requires_grad, test/distributions/test_distributions.py::TestDistributions::test_sample_detached, test/distributions/test_distributions.py::TestDistributions::test_studentT, test/distributions/test_distributions.py::TestDistributions::test_studentT_log_prob, test/distributions/test_distributions.py::TestDistributions::test_studentT_sample, test/distributions/test_distributions.py::TestDistributions::test_support_attributes, test/distributions/test_distributions.py::TestDistributions::test_torch_binomial_dtype_errors, test/distributions/test_distributions.py::TestDistributions::test_uniform, test/distributions/test_distributions.py::TestDistributions::test_valid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_vonmises_logprob, test/distributions/test_distributions.py::TestDistributions::test_vonmises_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_log_prob, test/distributions/test_distributions.py::TestDistributions::test_wishart_moments, test/distributions/test_distributions.py::TestDistributions::test_wishart_properties, test/distributions/test_distributions.py::TestDistributions::test_wishart_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_shape, test/distributions/test_distributions.py::TestDistributions::test_wishart_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_zero_excluded_binomial, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_alpha, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_beta, test/distributions/test_distributions.py::TestRsample::test_chi2, test/distributions/test_distributions.py::TestRsample::test_dirichlet_multivariate, test/distributions/test_distributions.py::TestRsample::test_dirichlet_on_diagonal, test/distributions/test_distributions.py::TestRsample::test_dirichlet_tangent_field, test/distributions/test_distributions.py::TestRsample::test_gamma, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape_vectorized_n, test/distributions/test_distributions.py::TestDistributionShapes::test_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_entropy_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_scalar_param, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_tensor_param, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gumbel_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_kumaraswamy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_mean_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_multinomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_one_hot_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_pareto_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_weibull_scale_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_tensor_params, test/distributions/test_distributions.py::TestKL::test_entropy_exponential_family, test/distributions/test_distributions.py::TestKL::test_entropy_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_edgecases, test/distributions/test_distributions.py::TestKL::test_kl_exponential_family, test/distributions/test_distributions.py::TestKL::test_kl_infinite, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched_broadcasted, test/distributions/test_distributions.py::TestKL::test_kl_shape, test/distributions/test_distributions.py::TestKL::test_kl_transformed, test/distributions/test_distributions.py::TestConstraints::test_params_constraints, test/distributions/test_distributions.py::TestConstraints::test_support_constraints, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob_with_logits, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob_with_logits, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_logits_initialization, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_probs_initialization, test/distributions/test_distributions.py::TestAgainstScipy::test_cdf, test/distributions/test_distributions.py::TestAgainstScipy::test_icdf, test/distributions/test_distributions.py::TestAgainstScipy::test_mean, test/distributions/test_distributions.py::TestAgainstScipy::test_variance_stddev, test/distributions/test_distributions.py::TestFunctors::test_cat_event_dim, test/distributions/test_distributions.py::TestFunctors::test_cat_transform, test/distributions/test_distributions.py::TestFunctors::test_cat_transform_non_uniform, test/distributions/test_distributions.py::TestFunctors::test_stack_transform, test/distributions/test_distributions.py::TestValidation::test_invalid, test/distributions/test_distributions.py::TestValidation::test_invalid_log_probs_arg, test/distributions/test_distributions.py::TestValidation::test_valid, test/distributions/test_distributions.py::TestValidation::test_warning_unimplemented_constraints, test/distributions/test_distributions.py::TestJit::test_cdf, test/distributions/test_distributions.py::TestJit::test_entropy, test/distributions/test_distributions.py::TestJit::test_enumerate_support, test/distributions/test_distributions.py::TestJit::test_log_prob, test/distributions/test_distributions.py::TestJit::test_mean, test/distributions/test_distributions.py::TestJit::test_rsample, test/distributions/test_distributions.py::TestJit::test_sample, test/distributions/test_distributions.py::TestJit::test_variance 2025-07-17T07:16:11.7738229Z 2025-07-17T07:16:11.7738473Z Running test_extension_utils 1/1 ... [2025-07-17 07:16:11.755710] 2025-07-17T07:16:11.7738909Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:16:11.7740018Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_extension_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:16:11.756088] 2025-07-17T07:16:15.0250861Z 2025-07-17T07:16:15.0252114Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_9d0b8e35bdeb198d_.log 2025-07-17T07:16:15.0253620Z Running 2 items in this shard: test/test_extension_utils.py::TestExtensionUtils::test_external_module_register, test/test_extension_utils.py::TestExtensionUtils::test_external_module_register_with_renamed_backend 2025-07-17T07:16:15.0254835Z 2025-07-17T07:16:15.0255183Z Running test_cpp_api_parity 1/1 ... [2025-07-17 07:16:15.025293] 2025-07-17T07:16:15.0256122Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:16:15.0258860Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:16:15.025639] 2025-07-17T07:16:25.4049627Z 2025-07-17T07:16:25.4050733Z test_cpp_api_parity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_api_parity_1.1_6a804fb52a424f86_.log 2025-07-17T07:16:25.4245231Z Running 488 items in this shard: test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated_cuda, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special_cuda 2025-07-17T07:16:25.4434586Z 2025-07-17T07:16:25.4434850Z Running inductor/test_cutlass_backend 1/1 ... [2025-07-17 07:16:25.406055] 2025-07-17T07:16:25.4435391Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:16:25.4436507Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cutlass_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:16:25.406437] 2025-07-17T07:16:31.8476316Z 2025-07-17T07:16:31.8477645Z inductor/test_cutlass_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_backend_1.1_e432dcae81c89643_.log 2025-07-17T07:16:31.8478419Z 2025-07-17T07:16:31.8480576Z Running test_cpp_extensions_open_device_registration 1/1 ... [2025-07-17 07:16:31.847851] 2025-07-17T07:16:33.5225173Z -- The CXX compiler identification is Clang 12.0.1 2025-07-17T07:16:33.6448701Z -- The C compiler identification is Clang 12.0.1 2025-07-17T07:16:33.6706357Z -- Detecting CXX compiler ABI info 2025-07-17T07:16:33.8643185Z -- Detecting CXX compiler ABI info - done 2025-07-17T07:16:33.8780268Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-07-17T07:16:33.8789305Z -- Detecting CXX compile features 2025-07-17T07:16:33.8802142Z -- Detecting CXX compile features - done 2025-07-17T07:16:33.8999162Z -- Detecting C compiler ABI info 2025-07-17T07:16:34.0243718Z -- Detecting C compiler ABI info - done 2025-07-17T07:16:34.0374923Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-07-17T07:16:34.0378102Z -- Detecting C compile features 2025-07-17T07:16:34.0382835Z -- Detecting C compile features - done 2025-07-17T07:16:34.4417470Z CMake Warning at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-07-17T07:16:34.4418295Z static library kineto_LIBRARY-NOTFOUND not found. 2025-07-17T07:16:34.4418680Z Call Stack (most recent call first): 2025-07-17T07:16:34.4419456Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-07-17T07:16:34.4420167Z CMakeLists.txt:27 (find_package) 2025-07-17T07:16:34.4420399Z 2025-07-17T07:16:34.4420514Z  2025-07-17T07:16:34.4420998Z -- Found Torch: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so 2025-07-17T07:16:34.4547088Z -- Configuring done (1.1s) 2025-07-17T07:16:34.4678163Z -- Generating done (0.0s) 2025-07-17T07:16:34.4690252Z -- Build files have been written to: /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/build 2025-07-17T07:16:34.6206777Z [ 5%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o 2025-07-17T07:16:34.6209757Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o 2025-07-17T07:16:34.7254012Z [ 17%] Linking CXX shared library libopenreg.so 2025-07-17T07:16:34.8106724Z [ 17%] Built target openreg 2025-07-17T07:16:34.8213705Z [ 23%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o 2025-07-17T07:16:34.8215344Z [ 29%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o 2025-07-17T07:16:34.8217738Z [ 35%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o 2025-07-17T07:16:34.8219557Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o 2025-07-17T07:16:34.8226135Z [ 47%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o 2025-07-17T07:16:34.8233744Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o 2025-07-17T07:16:34.8235429Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o 2025-07-17T07:16:34.8236876Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o 2025-07-17T07:16:35.0216681Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o 2025-07-17T07:16:35.0908571Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o 2025-07-17T07:16:35.1037356Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o 2025-07-17T07:16:35.5567437Z [ 88%] Linking CXX shared library libtorch_openreg.so 2025-07-17T07:16:36.0595407Z [ 88%] Built target torch_openreg 2025-07-17T07:16:36.0689968Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o 2025-07-17T07:16:36.6339842Z [100%] Linking CXX shared library libtorch_bindings.so 2025-07-17T07:16:36.7824957Z [100%] Built target torch_bindings 2025-07-17T07:16:36.7896421Z Install the project... 2025-07-17T07:16:36.7924543Z -- Install configuration: "" 2025-07-17T07:16:36.8543008Z running install 2025-07-17T07:16:36.8557524Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-07-17T07:16:36.8558362Z !! 2025-07-17T07:16:36.8558474Z 2025-07-17T07:16:36.8558609Z ******************************************************************************** 2025-07-17T07:16:36.8559062Z Please avoid running ``setup.py`` directly. 2025-07-17T07:16:36.8567007Z Instead, use pypa/build, pypa/installer or other 2025-07-17T07:16:36.8567430Z standards-based tools. 2025-07-17T07:16:36.8567625Z 2025-07-17T07:16:36.8567860Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-07-17T07:16:36.8568555Z or your builds will no longer be supported. 2025-07-17T07:16:36.8568811Z 2025-07-17T07:16:36.8569135Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-07-17T07:16:36.8569867Z ******************************************************************************** 2025-07-17T07:16:36.8570110Z 2025-07-17T07:16:36.8570191Z !! 2025-07-17T07:16:36.8570419Z self.initialize_options() 2025-07-17T07:16:36.8695766Z running build 2025-07-17T07:16:36.8696036Z running build_py 2025-07-17T07:16:36.8784634Z creating build/lib.linux-x86_64-cpython-313/torch_openreg 2025-07-17T07:16:36.8786426Z copying torch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_openreg 2025-07-17T07:16:36.8795305Z creating build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-07-17T07:16:36.8796571Z copying torch_openreg/openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-07-17T07:16:36.8804300Z copying torch_openreg/openreg/random.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-07-17T07:16:36.8815445Z creating build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-07-17T07:16:36.8816791Z copying torch_openreg/lib/libopenreg.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-07-17T07:16:36.8831798Z copying torch_openreg/lib/libtorch_openreg.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-07-17T07:16:36.8949428Z copying torch_openreg/lib/libtorch_bindings.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-07-17T07:16:36.8991916Z running build_ext 2025-07-17T07:16:36.9127119Z building 'torch_openreg._C' extension 2025-07-17T07:16:36.9129009Z creating build/temp.linux-x86_64-cpython-313/torch_openreg/csrc 2025-07-17T07:16:36.9132836Z gcc -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/include/python3.13 -c torch_openreg/csrc/stub.c -o build/temp.linux-x86_64-cpython-313/torch_openreg/csrc/stub.o -g -Wall -Werror 2025-07-17T07:16:37.0805446Z gcc -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/torch_openreg/csrc/stub.o -L/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/torch_openreg/lib -ltorch_bindings -o build/lib.linux-x86_64-cpython-313/torch_openreg/_C.cpython-313-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib 2025-07-17T07:16:37.1079726Z running install_lib 2025-07-17T07:16:37.1173269Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages 2025-07-17T07:16:37.1176466Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg 2025-07-17T07:16:37.1178046Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/__init__.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg 2025-07-17T07:16:37.1180197Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg 2025-07-17T07:16:37.1181723Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/openreg/__init__.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg 2025-07-17T07:16:37.1183495Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/openreg/random.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg 2025-07-17T07:16:37.1185018Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-07-17T07:16:37.1186670Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libopenreg.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-07-17T07:16:37.1189102Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libtorch_openreg.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-07-17T07:16:37.1208620Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libtorch_bindings.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-07-17T07:16:37.1214934Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/_C.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg 2025-07-17T07:16:37.1221643Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/__init__.py to __init__.cpython-313.pyc 2025-07-17T07:16:37.1225355Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg/__init__.py to __init__.cpython-313.pyc 2025-07-17T07:16:37.1231869Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/openreg/random.py to random.cpython-313.pyc 2025-07-17T07:16:37.1237357Z running install_egg_info 2025-07-17T07:16:37.1444080Z running egg_info 2025-07-17T07:16:37.1522919Z creating torch_openreg.egg-info 2025-07-17T07:16:37.1524337Z writing torch_openreg.egg-info/PKG-INFO 2025-07-17T07:16:37.1528722Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt 2025-07-17T07:16:37.1530706Z writing requirements to torch_openreg.egg-info/requires.txt 2025-07-17T07:16:37.1531860Z writing top-level names to torch_openreg.egg-info/top_level.txt 2025-07-17T07:16:37.1533297Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-07-17T07:16:37.1620990Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-07-17T07:16:37.1628378Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-07-17T07:16:37.1630076Z Copying torch_openreg.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg-0.0.1-py3.13.egg-info 2025-07-17T07:16:37.1636637Z running install_scripts 2025-07-17T07:16:37.4782741Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:16:37.4786037Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_open_device_registration.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:16:37.478318] 2025-07-17T07:16:42.1993742Z 2025-07-17T07:16:42.1995008Z test_cpp_extensions_open_device_registration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_open_device_registration_1.1_84757a35fdc5e3ac_.log 2025-07-17T07:16:42.1997808Z Running 3 items in this shard: test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRegistration::test_open_device_scalar_type_fallback, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRegistration::test_open_device_tensor_type_fallback, test/test_cpp_extensions_open_device_registration.py::TestCppExtensionOpenRegistration::test_open_device_tensorlist_type_fallback 2025-07-17T07:16:42.1999898Z 2025-07-17T07:16:42.2000145Z Running test_transformers_privateuse1 1/1 ... [2025-07-17 07:16:42.199645] 2025-07-17T07:16:43.6188221Z -- The CXX compiler identification is Clang 12.0.1 2025-07-17T07:16:43.6958993Z -- The C compiler identification is Clang 12.0.1 2025-07-17T07:16:43.7042031Z -- Detecting CXX compiler ABI info 2025-07-17T07:16:43.8681153Z -- Detecting CXX compiler ABI info - done 2025-07-17T07:16:43.8818809Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-07-17T07:16:43.8822465Z -- Detecting CXX compile features 2025-07-17T07:16:43.8828868Z -- Detecting CXX compile features - done 2025-07-17T07:16:43.8947821Z -- Detecting C compiler ABI info 2025-07-17T07:16:44.0195612Z -- Detecting C compiler ABI info - done 2025-07-17T07:16:44.0327284Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-07-17T07:16:44.0330779Z -- Detecting C compile features 2025-07-17T07:16:44.0335574Z -- Detecting C compile features - done 2025-07-17T07:16:44.1493401Z CMake Warning at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-07-17T07:16:44.1494185Z static library kineto_LIBRARY-NOTFOUND not found. 2025-07-17T07:16:44.1494570Z Call Stack (most recent call first): 2025-07-17T07:16:44.1495290Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-07-17T07:16:44.1496263Z CMakeLists.txt:27 (find_package) 2025-07-17T07:16:44.1496469Z 2025-07-17T07:16:44.1496588Z  2025-07-17T07:16:44.1501941Z -- Found Torch: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so 2025-07-17T07:16:44.1528634Z -- Configuring done (0.7s) 2025-07-17T07:16:44.1663773Z -- Generating done (0.0s) 2025-07-17T07:16:44.1676571Z -- Build files have been written to: /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/build 2025-07-17T07:16:44.3178823Z [ 5%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o 2025-07-17T07:16:44.3179845Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o 2025-07-17T07:16:44.4216093Z [ 17%] Linking CXX shared library libopenreg.so 2025-07-17T07:16:44.5065319Z [ 17%] Built target openreg 2025-07-17T07:16:44.5173291Z [ 23%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o 2025-07-17T07:16:44.5174990Z [ 29%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o 2025-07-17T07:16:44.5186239Z [ 47%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o 2025-07-17T07:16:44.5187818Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o 2025-07-17T07:16:44.5189262Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o 2025-07-17T07:16:44.5190986Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o 2025-07-17T07:16:44.5192630Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o 2025-07-17T07:16:44.5216727Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o 2025-07-17T07:16:44.7458296Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o 2025-07-17T07:16:44.7907488Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o 2025-07-17T07:16:44.8163260Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o 2025-07-17T07:16:45.2796322Z [ 88%] Linking CXX shared library libtorch_openreg.so 2025-07-17T07:16:45.7983817Z [ 88%] Built target torch_openreg 2025-07-17T07:16:45.8074372Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o 2025-07-17T07:16:46.3848701Z [100%] Linking CXX shared library libtorch_bindings.so 2025-07-17T07:16:46.5399475Z [100%] Built target torch_bindings 2025-07-17T07:16:46.5474088Z Install the project... 2025-07-17T07:16:46.5502275Z -- Install configuration: "" 2025-07-17T07:16:46.6110763Z running install 2025-07-17T07:16:46.6112518Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-07-17T07:16:46.6113331Z !! 2025-07-17T07:16:46.6113458Z 2025-07-17T07:16:46.6113584Z ******************************************************************************** 2025-07-17T07:16:46.6113982Z Please avoid running ``setup.py`` directly. 2025-07-17T07:16:46.6114387Z Instead, use pypa/build, pypa/installer or other 2025-07-17T07:16:46.6114745Z standards-based tools. 2025-07-17T07:16:46.6114945Z 2025-07-17T07:16:46.6115378Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-07-17T07:16:46.6115869Z or your builds will no longer be supported. 2025-07-17T07:16:46.6116110Z 2025-07-17T07:16:46.6116430Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-07-17T07:16:46.6116951Z ******************************************************************************** 2025-07-17T07:16:46.6117208Z 2025-07-17T07:16:46.6117289Z !! 2025-07-17T07:16:46.6117567Z self.initialize_options() 2025-07-17T07:16:46.6251562Z running build 2025-07-17T07:16:46.6252028Z running build_py 2025-07-17T07:16:46.6340095Z creating build/lib.linux-x86_64-cpython-313/torch_openreg 2025-07-17T07:16:46.6342699Z copying torch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_openreg 2025-07-17T07:16:46.6345747Z creating build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-07-17T07:16:46.6347023Z copying torch_openreg/openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-07-17T07:16:46.6349134Z copying torch_openreg/openreg/random.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-07-17T07:16:46.6355674Z creating build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-07-17T07:16:46.6356743Z copying torch_openreg/lib/libopenreg.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-07-17T07:16:46.6372183Z copying torch_openreg/lib/libtorch_openreg.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-07-17T07:16:46.6488827Z copying torch_openreg/lib/libtorch_bindings.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-07-17T07:16:46.6528299Z running build_ext 2025-07-17T07:16:46.6634668Z building 'torch_openreg._C' extension 2025-07-17T07:16:46.6636803Z creating build/temp.linux-x86_64-cpython-313/torch_openreg/csrc 2025-07-17T07:16:46.6640473Z gcc -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/include/python3.13 -c torch_openreg/csrc/stub.c -o build/temp.linux-x86_64-cpython-313/torch_openreg/csrc/stub.o -g -Wall -Werror 2025-07-17T07:16:46.8020306Z gcc -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/torch_openreg/csrc/stub.o -L/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/torch_openreg/lib -ltorch_bindings -o build/lib.linux-x86_64-cpython-313/torch_openreg/_C.cpython-313-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib 2025-07-17T07:16:46.8255266Z running install_lib 2025-07-17T07:16:46.8350942Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libopenreg.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-07-17T07:16:46.8353614Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libtorch_openreg.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-07-17T07:16:46.8382943Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libtorch_bindings.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-07-17T07:16:46.8389845Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/_C.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg 2025-07-17T07:16:46.8395318Z running install_egg_info 2025-07-17T07:16:46.8595746Z running egg_info 2025-07-17T07:16:46.8672983Z writing torch_openreg.egg-info/PKG-INFO 2025-07-17T07:16:46.8677275Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt 2025-07-17T07:16:46.8685405Z writing requirements to torch_openreg.egg-info/requires.txt 2025-07-17T07:16:46.8693906Z writing top-level names to torch_openreg.egg-info/top_level.txt 2025-07-17T07:16:46.8788079Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-07-17T07:16:46.8796959Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-07-17T07:16:46.8806086Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg-0.0.1-py3.13.egg-info' (and everything under it) 2025-07-17T07:16:46.8807986Z Copying torch_openreg.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg-0.0.1-py3.13.egg-info 2025-07-17T07:16:46.8813946Z running install_scripts 2025-07-17T07:16:47.1585753Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:16:47.1590389Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_transformers_privateuse1.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:16:47.158681] 2025-07-17T07:16:50.4277745Z 2025-07-17T07:16:50.4278764Z test_transformers_privateuse1 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_privateuse1_1.1_3987d03a7a31f34f_.log 2025-07-17T07:16:50.4281098Z Running 3 items in this shard: test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_fused_sdp_choice_privateuseone, test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_scaled_dot_product_fused_attention_overrideable, test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_scaled_dot_product_fused_attention_overrideable_backward 2025-07-17T07:16:50.4283127Z 2025-07-17T07:16:50.4283371Z Running inductor/test_flex_attention 1/1 ... [2025-07-17 07:16:50.428022] 2025-07-17T07:16:50.4283836Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:16:50.4286312Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:16:50.428399] 2025-07-17T07:16:53.7914698Z 2025-07-17T07:16:53.7915709Z inductor/test_flex_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.1_b1c4b024ddb6c405_.log 2025-07-17T07:16:53.7916508Z 2025-07-17T07:16:53.7918542Z Running test_openreg 1/1 ... [2025-07-17 07:16:53.791676] 2025-07-17T07:16:55.1959030Z -- The CXX compiler identification is Clang 12.0.1 2025-07-17T07:16:55.2712818Z -- The C compiler identification is Clang 12.0.1 2025-07-17T07:16:55.2794934Z -- Detecting CXX compiler ABI info 2025-07-17T07:16:55.4645742Z -- Detecting CXX compiler ABI info - done 2025-07-17T07:16:55.4783944Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-07-17T07:16:55.4787978Z -- Detecting CXX compile features 2025-07-17T07:16:55.4795045Z -- Detecting CXX compile features - done 2025-07-17T07:16:55.4915292Z -- Detecting C compiler ABI info 2025-07-17T07:16:55.6152163Z -- Detecting C compiler ABI info - done 2025-07-17T07:16:55.6283748Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-07-17T07:16:55.6287592Z -- Detecting C compile features 2025-07-17T07:16:55.6293025Z -- Detecting C compile features - done 2025-07-17T07:16:55.7469311Z CMake Warning at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-07-17T07:16:55.7470282Z static library kineto_LIBRARY-NOTFOUND not found. 2025-07-17T07:16:55.7470674Z Call Stack (most recent call first): 2025-07-17T07:16:55.7471390Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-07-17T07:16:55.7472106Z CMakeLists.txt:27 (find_package) 2025-07-17T07:16:55.7472328Z 2025-07-17T07:16:55.7472445Z  2025-07-17T07:16:55.7478383Z -- Found Torch: /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so 2025-07-17T07:16:55.7505107Z -- Configuring done (0.7s) 2025-07-17T07:16:55.7630447Z -- Generating done (0.0s) 2025-07-17T07:16:55.7644830Z -- Build files have been written to: /var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/build 2025-07-17T07:16:55.9150726Z [ 5%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/device.cpp.o 2025-07-17T07:16:55.9153060Z [ 11%] Building CXX object third_party/openreg/CMakeFiles/openreg.dir/csrc/memory.cpp.o 2025-07-17T07:16:56.0165471Z [ 17%] Linking CXX shared library libopenreg.so 2025-07-17T07:16:56.0969695Z [ 17%] Built target openreg 2025-07-17T07:16:56.1068918Z [ 23%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegExtra.cpp.o 2025-07-17T07:16:56.1077837Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Extra.cpp.o 2025-07-17T07:16:56.1079385Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/OpenRegMinimal.cpp.o 2025-07-17T07:16:56.1080848Z [ 41%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/aten/native/Minimal.cpp.o 2025-07-17T07:16:56.1082715Z [ 47%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegDeviceAllocator.cpp.o 2025-07-17T07:16:56.1088988Z [ 52%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGenerator.cpp.o 2025-07-17T07:16:56.1090871Z [ 58%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegFunctions.cpp.o 2025-07-17T07:16:56.1093023Z [ 64%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegGuard.cpp.o 2025-07-17T07:16:56.2994886Z [ 70%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHooks.cpp.o 2025-07-17T07:16:56.3413096Z [ 76%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegHostAllocator.cpp.o 2025-07-17T07:16:56.3812468Z [ 82%] Building CXX object csrc/CMakeFiles/torch_openreg.dir/runtime/OpenRegSerialization.cpp.o 2025-07-17T07:16:56.8384342Z [ 88%] Linking CXX shared library libtorch_openreg.so 2025-07-17T07:16:57.3537995Z [ 88%] Built target torch_openreg 2025-07-17T07:16:57.3630550Z [ 94%] Building CXX object torch_openreg/csrc/CMakeFiles/torch_bindings.dir/Module.cpp.o 2025-07-17T07:16:57.9461820Z [100%] Linking CXX shared library libtorch_bindings.so 2025-07-17T07:16:58.1003546Z [100%] Built target torch_bindings 2025-07-17T07:16:58.1077625Z Install the project... 2025-07-17T07:16:58.1104766Z -- Install configuration: "" 2025-07-17T07:16:58.1692935Z running install 2025-07-17T07:16:58.1694432Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-07-17T07:16:58.1695236Z !! 2025-07-17T07:16:58.1695352Z 2025-07-17T07:16:58.1695510Z ******************************************************************************** 2025-07-17T07:16:58.1695909Z Please avoid running ``setup.py`` directly. 2025-07-17T07:16:58.1696311Z Instead, use pypa/build, pypa/installer or other 2025-07-17T07:16:58.1696680Z standards-based tools. 2025-07-17T07:16:58.1696866Z 2025-07-17T07:16:58.1697090Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-07-17T07:16:58.1697579Z or your builds will no longer be supported. 2025-07-17T07:16:58.1697827Z 2025-07-17T07:16:58.1698142Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-07-17T07:16:58.1698656Z ******************************************************************************** 2025-07-17T07:16:58.1698906Z 2025-07-17T07:16:58.1698984Z !! 2025-07-17T07:16:58.1699288Z self.initialize_options() 2025-07-17T07:16:58.1833771Z running build 2025-07-17T07:16:58.1834219Z running build_py 2025-07-17T07:16:58.1925956Z creating build/lib.linux-x86_64-cpython-313/torch_openreg 2025-07-17T07:16:58.1927023Z copying torch_openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_openreg 2025-07-17T07:16:58.1929446Z creating build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-07-17T07:16:58.1930657Z copying torch_openreg/openreg/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-07-17T07:16:58.1932799Z copying torch_openreg/openreg/random.py -> build/lib.linux-x86_64-cpython-313/torch_openreg/openreg 2025-07-17T07:16:58.1938658Z creating build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-07-17T07:16:58.1939781Z copying torch_openreg/lib/libopenreg.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-07-17T07:16:58.1954676Z copying torch_openreg/lib/libtorch_openreg.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-07-17T07:16:58.2073907Z copying torch_openreg/lib/libtorch_bindings.so -> build/lib.linux-x86_64-cpython-313/torch_openreg/lib 2025-07-17T07:16:58.2114543Z running build_ext 2025-07-17T07:16:58.2218574Z building 'torch_openreg._C' extension 2025-07-17T07:16:58.2221290Z creating build/temp.linux-x86_64-cpython-313/torch_openreg/csrc 2025-07-17T07:16:58.2224514Z gcc -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/include/python3.13 -c torch_openreg/csrc/stub.c -o build/temp.linux-x86_64-cpython-313/torch_openreg/csrc/stub.o -g -Wall -Werror 2025-07-17T07:16:58.3137968Z gcc -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/torch_openreg/csrc/stub.o -L/var/lib/jenkins/workspace/test/cpp_extensions/open_registration_extension/torch_openreg/torch_openreg/lib -ltorch_bindings -o build/lib.linux-x86_64-cpython-313/torch_openreg/_C.cpython-313-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib 2025-07-17T07:16:58.3372787Z running install_lib 2025-07-17T07:16:58.3469099Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libopenreg.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-07-17T07:16:58.3472583Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libtorch_openreg.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-07-17T07:16:58.3495603Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/lib/libtorch_bindings.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg/lib 2025-07-17T07:16:58.3502309Z copying build/lib.linux-x86_64-cpython-313/torch_openreg/_C.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg 2025-07-17T07:16:58.3508005Z running install_egg_info 2025-07-17T07:16:58.3704369Z running egg_info 2025-07-17T07:16:58.3781796Z writing torch_openreg.egg-info/PKG-INFO 2025-07-17T07:16:58.3785637Z writing dependency_links to torch_openreg.egg-info/dependency_links.txt 2025-07-17T07:16:58.3787861Z writing requirements to torch_openreg.egg-info/requires.txt 2025-07-17T07:16:58.3789301Z writing top-level names to torch_openreg.egg-info/top_level.txt 2025-07-17T07:16:58.3876500Z reading manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-07-17T07:16:58.3885572Z writing manifest file 'torch_openreg.egg-info/SOURCES.txt' 2025-07-17T07:16:58.3888068Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg-0.0.1-py3.13.egg-info' (and everything under it) 2025-07-17T07:16:58.3889958Z Copying torch_openreg.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_openreg-0.0.1-py3.13.egg-info 2025-07-17T07:16:58.3895946Z running install_scripts 2025-07-17T07:16:58.7234367Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:16:58.7237889Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_openreg.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:16:58.723550] 2025-07-17T07:17:03.5950765Z 2025-07-17T07:17:03.5952013Z test_openreg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openreg_1.1_2365f3e3423a0770_.log 2025-07-17T07:17:03.5968918Z Running 41 items in this shard: test/test_openreg.py::TestPrivateUse1::test_backend_dispatchstub, test/test_openreg.py::TestPrivateUse1::test_backend_generate_methods, test/test_openreg.py::TestPrivateUse1::test_backend_module_function, test/test_openreg.py::TestPrivateUse1::test_backend_module_methods, test/test_openreg.py::TestPrivateUse1::test_backend_module_registration, test/test_openreg.py::TestPrivateUse1::test_backend_name, test/test_openreg.py::TestPrivateUse1::test_backend_operator_registration, test/test_openreg.py::TestPrivateUse1::test_backend_packed_sequence_methods, test/test_openreg.py::TestPrivateUse1::test_backend_storage_methods, test/test_openreg.py::TestPrivateUse1::test_backend_tensor_methods, test/test_openreg.py::TestPrivateUse1::test_backend_tensor_type, test/test_openreg.py::TestPrivateUse1::test_backend_type_methods, test/test_openreg.py::TestOpenReg::test_autograd_init, test/test_openreg.py::TestOpenReg::test_compile_autograd_function_aliasing, test/test_openreg.py::TestOpenReg::test_compile_autograd_function_returns_self, test/test_openreg.py::TestOpenReg::test_copy_same_device, test/test_openreg.py::TestOpenReg::test_cross_device_copy, test/test_openreg.py::TestOpenReg::test_cross_diff_devices_copy, test/test_openreg.py::TestOpenReg::test_data_dependent_output, test/test_openreg.py::TestOpenReg::test_event_elapsed_time, test/test_openreg.py::TestOpenReg::test_event_wait_stream, test/test_openreg.py::TestOpenReg::test_expand, test/test_openreg.py::TestOpenReg::test_factory, test/test_openreg.py::TestOpenReg::test_fake_tensor, test/test_openreg.py::TestOpenReg::test_generator, test/test_openreg.py::TestOpenReg::test_manual_seed, test/test_openreg.py::TestOpenReg::test_named_tensor, test/test_openreg.py::TestOpenReg::test_open_device_cpu_serialization, test/test_openreg.py::TestOpenReg::test_open_device_dlpack, test/test_openreg.py::TestOpenReg::test_open_device_numpy_serialization, test/test_openreg.py::TestOpenReg::test_pin_memory, test/test_openreg.py::TestOpenReg::test_printing, test/test_openreg.py::TestOpenReg::test_quantize, test/test_openreg.py::TestOpenReg::test_record_event, test/test_openreg.py::TestOpenReg::test_resize, test/test_openreg.py::TestOpenReg::test_rewrapped_storage, test/test_openreg.py::TestOpenReg::test_rng_state, test/test_openreg.py::TestOpenReg::test_serialization, test/test_openreg.py::TestOpenReg::test_stream_synchronize, test/test_openreg.py::TestOpenReg::test_stream_wait_event, test/test_openreg.py::TestOpenReg::test_stream_wait_stream 2025-07-17T07:17:03.5980963Z 2025-07-17T07:17:03.5981124Z Running test_fx 1/1 ... [2025-07-17 07:17:03.595476] 2025-07-17T07:17:03.5981488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:17:03.5982631Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:17:03.595842] 2025-07-17T07:21:10.2931700Z 2025-07-17T07:21:10.2932547Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_ec504779c59b21c9_.log 2025-07-17T07:21:10.3417767Z Running 1259 items in this shard: test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_Mutation_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_TakeList_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cpu, test/test_fx.py::TestCSEPass::test_banned_list, test/test_fx.py::TestCSEPass::test_empty, test/test_fx.py::TestCSEPass::test_immutable_list_multiple_entries, test/test_fx.py::TestCSEPass::test_immutable_list_type, test/test_fx.py::TestCSEPass::test_kwarg, test/test_fx.py::TestCSEPass::test_nested_immutable_list_type, test/test_fx.py::TestCSEPass::test_nochange, test/test_fx.py::TestCSEPass::test_rand_like, test/test_fx.py::TestCSEPass::test_rand_n, test/test_fx.py::TestCSEPass::test_random, test/test_fx.py::TestCSEPass::test_simple, test/test_fx.py::TestCSEPass::test_simple_2, test/test_fx.py::TestCSEPass::test_simple_multiple_same_ops, test/test_fx.py::TestCSEPass::test_two_args, test/test_fx.py::TestCSEPass::test_two_args_default, test/test_fx.py::TestDCE::test_dead_chain, test/test_fx.py::TestDCE::test_dead_getattr, test/test_fx.py::TestDCE::test_dead_placeholder, test/test_fx.py::TestDCE::test_dead_placeholder_with_user, test/test_fx.py::TestDCE::test_impure_custom, test/test_fx.py::TestDCE::test_impure_kwargs, test/test_fx.py::TestDCE::test_impure_nodes_args, test/test_fx.py::TestDCE::test_impure_random, test/test_fx.py::TestDCE::test_keep_collectives, test/test_fx.py::TestDCE::test_keep_collectives_no_overload, test/test_fx.py::TestDCE::test_keep_module_with_side_effects, test/test_fx.py::TestDCE::test_keep_setitem, test/test_fx.py::TestDCE::test_keep_torch_assert, test/test_fx.py::TestDCE::test_simple, test/test_fx.py::TestConstFold::test_check_inline_non_const, test/test_fx.py::TestConstFold::test_check_inline_non_const_mult_return, test/test_fx.py::TestConstFold::test_check_skip_folding_quant_dequant_pattern, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_no_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_placeholder_reordered, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr_three_input, test/test_fx.py::TestConstFold::test_const_fold_has_inlined_call_module_node, test/test_fx.py::TestConstFold::test_const_fold_module_attr, test/test_fx.py::TestConstFold::test_const_fold_multi_const_folded_attrs, test/test_fx.py::TestConstFold::test_const_fold_noop, test/test_fx.py::TestConstFold::test_const_fold_submod_hierarchy, test/test_fx.py::TestConstFold::test_const_fold_tensor_meta, test/test_fx.py::TestConstFold::test_const_fold_unused_placeholder, test/test_fx.py::TestConstFold::test_dict_output, test/test_fx.py::TestConstFold::test_fold_module, test/test_fx.py::TestConstFold::test_retain_node_meta, test/test_fx.py::TestConstFold::test_three_outputs, test/test_fx.py::TestConstFold::test_two_outputs, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_dim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_ndim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_nelement_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_numel_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_shape_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_size_const, test/test_fx.py::AnnotationsTest::test_annotate, test/test_fx.py::AnnotationsTest::test_annotations, test/test_fx.py::AnnotationsTest::test_broadcasting1, test/test_fx.py::AnnotationsTest::test_broadcasting2, test/test_fx.py::AnnotationsTest::test_broadcasting3, test/test_fx.py::AnnotationsTest::test_consistency, test/test_fx.py::AnnotationsTest::test_precision, test/test_fx.py::TypeCheckerTest::test_flatten_fully_static, test/test_fx.py::TypeCheckerTest::test_resnet50, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast_2, test/test_fx.py::TypeCheckerTest::test_type_check_add_false, test/test_fx.py::TypeCheckerTest::test_type_check_add_true, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_scalar, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_false, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_symbolic, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2_fully_static, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_types, test/test_fx.py::TypeCheckerTest::test_type_check_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_flatten3, test/test_fx.py::TypeCheckerTest::test_type_check_flatten_2, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true_param_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_true, test/test_fx.py::TypeCheckerTest::test_type_check_symbolic_inferenceconv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_False, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_true, test/test_fx.py::TypeCheckerTest::test_type_maxpool2d_fully_static, test/test_fx.py::TypeCheckerTest::test_type_typechecl_maxpool2d_3dinput, test/test_fx.py::TypeCheckerTest::test_typecheck_basicblock, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_function, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_module, test/test_fx.py::TestMatcher::test_split_to_graph_and_name_node_map, test/test_fx.py::TestMatcher::test_subgraph_matcher_ignore_literals, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_attributes, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list_bad, test/test_fx.py::TestMatcher::test_variatic_arg_matching, test/test_fx.py::TestPassManager::test_pass_manager, test/test_fx.py::TestPassManager::test_pass_manager_bad_checks, test/test_fx.py::TestPassManager::test_pass_manager_checks, test/test_fx.py::TestPassManager::test_pass_manager_error, test/test_fx.py::TestPassManager::test_this_before_that_pass_constraint, test/test_fx.py::TestPassManager::test_topological_sort, test/test_fx.py::TestSourceMatcher::test_legalize_slice, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_True, test/test_fx.py::TestSubgraphRewriter::test_matching_pattern_with_list_type_arg, test/test_fx.py::TestSubgraphRewriter::test_matching_variable_arguments, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_callback, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_filters, test/test_fx.py::TestSubgraphRewriter::test_replaced_nodes, test/test_fx.py::TestSubgraphRewriter::test_replacement_with_attrs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_call_method, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_correct_output_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_graph_argument_order, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_local_revert, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_nodes_with_kwargs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_is_entire_graph, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_placeholder_matching, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_consecutive_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_duplicated_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_multiple_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_overlapping_matches, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_trivial_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_args, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_results, test/test_fx.py::TestFX::test_all_input_nodes, test/test_fx.py::TestFX::test_annotation_with_future, test/test_fx.py::TestFX::test_annotations_empty_tuple, test/test_fx.py::TestFX::test_annotations_with_forward_references, test/test_fx.py::TestFX::test_annotations_with_no_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_internal_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_no_internal_forward_references, test/test_fx.py::TestFX::test_args_kwargs, test/test_fx.py::TestFX::test_args_kwargs_no_self, test/test_fx.py::TestFX::test_assert, test/test_fx.py::TestFX::test_ast_rewriter_reassigns_submodules, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert_with_message, test/test_fx.py::TestFX::test_ast_rewriter_wrap, test/test_fx.py::TestFX::test_ast_rewriter_wrap_fn_directly, test/test_fx.py::TestFX::test_ast_rewriter_wrap_with_submodule, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_autowrap_functions, test/test_fx.py::TestFX::test_concrete_arg_none_assert, test/test_fx.py::TestFX::test_construct_root_dict, test/test_fx.py::TestFX::test_control_flow_tracing, test/test_fx.py::TestFX::test_copy_it, test/test_fx.py::TestFX::test_copy_no_remap, test/test_fx.py::TestFX::test_ctx_mgr, test/test_fx.py::TestFX::test_custom_codegen, test/test_fx.py::TestFX::test_custom_codegen_with_transformer, test/test_fx.py::TestFX::test_custom_import, test/test_fx.py::TestFX::test_custom_proxy_dynamic_value, test/test_fx.py::TestFX::test_custom_proxy_input_dependent_control_flow, test/test_fx.py::TestFX::test_custom_proxy_type, test/test_fx.py::TestFX::test_custom_proxy_type_literal, test/test_fx.py::TestFX::test_custom_traceback_not_raised_when_exception_source_is_submodule, test/test_fx.py::TestFX::test_custom_traceback_raised_when_exception_source_is_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graph_with_tracer_cls, test/test_fx.py::TestFX::test_deepcopy_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graphmodule_with_transform, test/test_fx.py::TestFX::test_deepcopy_no_recursion, test/test_fx.py::TestFX::test_deepcopy_recursion_depth, test/test_fx.py::TestFX::test_deepcopy_tracer, test/test_fx.py::TestFX::test_deepcopy_with_submods_params, test/test_fx.py::TestFX::test_delete_unused_submodules_leaf, test/test_fx.py::TestFX::test_delete_unused_values, test/test_fx.py::TestFX::test_dict, test/test_fx.py::TestFX::test_direct_param_use, test/test_fx.py::TestFX::test_disallow_override, test/test_fx.py::TestFX::test_ellipsis, test/test_fx.py::TestFX::test_empty_graph_codegen, test/test_fx.py::TestFX::test_enum, test/test_fx.py::TestFX::test_erase_node_error, test/test_fx.py::TestFX::test_example_shape_prop, test/test_fx.py::TestFX::test_find_uses, test/test_fx.py::TestFX::test_fn_type_annotation_empty, test/test_fx.py::TestFX::test_fn_type_annotations, test/test_fx.py::TestFX::test_fx_and_or, test/test_fx.py::TestFX::test_fx_create_arg, test/test_fx.py::TestFX::test_fx_shifts, test/test_fx.py::TestFX::test_fx_stateless, test/test_fx.py::TestFX::test_get_torch_func_signature, test/test_fx.py::TestFX::test_getitem, test/test_fx.py::TestFX::test_getitem_subproc, test/test_fx.py::TestFX::test_graph_edit_with_proxy, test/test_fx.py::TestFX::test_graph_fns, test/test_fx.py::TestFX::test_graph_module, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_dict_init, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_mod_init, test/test_fx.py::TestFX::test_graph_module_replicate_for_dp, test/test_fx.py::TestFX::test_graph_unique_names, test/test_fx.py::TestFX::test_graph_unique_names_manual, test/test_fx.py::TestFX::test_immutable_dict_pytree_ops, test/test_fx.py::TestFX::test_immutable_list_pytree_ops, test/test_fx.py::TestFX::test_imul_code_print, test/test_fx.py::TestFX::test_inf_nan, test/test_fx.py::TestFX::test_inf_nan_kwds, test/test_fx.py::TestFX::test_informative_co_filename, test/test_fx.py::TestFX::test_inline_graph, test/test_fx.py::TestFX::test_insert_arg, test/test_fx.py::TestFX::test_insertion_point, test/test_fx.py::TestFX::test_interpreter, test/test_fx.py::TestFX::test_interpreter_default_args, test/test_fx.py::TestFX::test_interpreter_gc_values, test/test_fx.py::TestFX::test_interpreter_noop_resnet18, test/test_fx.py::TestFX::test_interpreter_not_enough_args, test/test_fx.py::TestFX::test_interpreter_onthefly_swap, test/test_fx.py::TestFX::test_interpreter_other_graph, test/test_fx.py::TestFX::test_interpreter_partial_eval, test/test_fx.py::TestFX::test_interpreter_run_node_override, test/test_fx.py::TestFX::test_interpreter_star_args, test/test_fx.py::TestFX::test_interpreter_with_codegen, test/test_fx.py::TestFX::test_layout, test/test_fx.py::TestFX::test_leaf_module, test/test_fx.py::TestFX::test_lineno_map, test/test_fx.py::TestFX::test_matmul_tracing, test/test_fx.py::TestFX::test_metadata_on_ph, test/test_fx.py::TestFX::test_module_deepcopy_edit_nodes, test/test_fx.py::TestFX::test_move_before, test/test_fx.py::TestFX::test_multi_insert_point, test/test_fx.py::TestFX::test_multiple_default_args, test/test_fx.py::TestFX::test_named_tuple_inlined, test/test_fx.py::TestFX::test_namedtuple_return_qualname, test/test_fx.py::TestFX::test_namedtuple_return_trace, test/test_fx.py::TestFX::test_native_callable, test/test_fx.py::TestFX::test_nn_module_stack, test/test_fx.py::TestFX::test_no_mutation, test/test_fx.py::TestFX::test_node_tagging, test/test_fx.py::TestFX::test_nonetype_annotation, test/test_fx.py::TestFX::test_partial_trace, test/test_fx.py::TestFX::test_pickle_custom_import, test/test_fx.py::TestFX::test_pickle_graphmodule, test/test_fx.py::TestFX::test_pickle_nonetype_annotation, test/test_fx.py::TestFX::test_pickle_torch_custom_ops, test/test_fx.py::TestFX::test_prepend_self, test/test_fx.py::TestFX::test_pretty_print, test/test_fx.py::TestFX::test_pretty_print_graph, test/test_fx.py::TestFX::test_pretty_print_node, test/test_fx.py::TestFX::test_pretty_print_targets, test/test_fx.py::TestFX::test_print_graph, test/test_fx.py::TestFX::test_profiler_ranges_side_effect, test/test_fx.py::TestFX::test_proxy_deepcopy_with_tracer, test/test_fx.py::TestFX::test_proxy_deepcopy_without_tracer, test/test_fx.py::TestFX::test_pytree, test/test_fx.py::TestFX::test_pytree_concrete, test/test_fx.py::TestFX::test_reassign_args_kwargs_uses, test/test_fx.py::TestFX::test_regular_and_default_args, test/test_fx.py::TestFX::test_remove_uses, test/test_fx.py::TestFX::test_remove_uses_with_custom_filter, test/test_fx.py::TestFX::test_replace_input, test/test_fx.py::TestFX::test_replace_uses, test/test_fx.py::TestFX::test_reserved_getattr, test/test_fx.py::TestFX::test_return_tuple, test/test_fx.py::TestFX::test_return_type_exists, test/test_fx.py::TestFX::test_return_type_exists_pre_pep585, test/test_fx.py::TestFX::test_script_method_trace, test/test_fx.py::TestFX::test_script_tensor_constant, test/test_fx.py::TestFX::test_sequential, test/test_fx.py::TestFX::test_shape_prop_aggregate, test/test_fx.py::TestFX::test_shape_prop_layout, test/test_fx.py::TestFX::test_shape_prop_layout_3d, test/test_fx.py::TestFX::test_shape_prop_unbacked_sym, test/test_fx.py::TestFX::test_single_default_arg, test/test_fx.py::TestFX::test_snake_case, test/test_fx.py::TestFX::test_sqrt, test/test_fx.py::TestFX::test_stack_traces, test/test_fx.py::TestFX::test_stack_traces_with_transformer, test/test_fx.py::TestFX::test_string_literal_return, test/test_fx.py::TestFX::test_submodule_manipulation_API, test/test_fx.py::TestFX::test_symbolic_trace_assert, test/test_fx.py::TestFX::test_symbolic_trace_sequential, test/test_fx.py::TestFX::test_tensor_attribute, test/test_fx.py::TestFX::test_tensor_attribute_coalseced, test/test_fx.py::TestFX::test_tensor_constant, test/test_fx.py::TestFX::test_throw_out_variant, test/test_fx.py::TestFX::test_torch_custom_ops, test/test_fx.py::TestFX::test_torch_fx_getattr, test/test_fx.py::TestFX::test_torch_fx_len, test/test_fx.py::TestFX::test_torch_op_overloads, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx_tensor_arg, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_dict_int_keys, test/test_fx.py::TestFX::test_trace_dict_proxy_keys, test/test_fx.py::TestFX::test_trace_fn_constant, test/test_fx.py::TestFX::test_trace_function, test/test_fx.py::TestFX::test_trace_multiple_funcs, test/test_fx.py::TestFX::test_trace_return_dataclass, test/test_fx.py::TestFX::test_trace_return_dataclass_nested, test/test_fx.py::TestFX::test_trace_return_namedtuple, test/test_fx.py::TestFX::test_tracing_graphmodules_as_leaf_submodules, test/test_fx.py::TestFX::test_transformer_multi_outputs, test/test_fx.py::TestFX::test_transformer_noop, test/test_fx.py::TestFX::test_transformer_op_swap, test/test_fx.py::TestFX::test_transformer_preserves_nn_module_stack_for_get_attr, test/test_fx.py::TestFX::test_tuple_no_subscript, test/test_fx.py::TestFX::test_typename_print, test/test_fx.py::TestFX::test_typename_print_pre_pep585, test/test_fx.py::TestFX::test_unpack, test/test_fx.py::TestFX::test_unpack_dict_better_error, test/test_fx.py::TestFX::test_unpack_list_better_error, test/test_fx.py::TestFX::test_update_args_api, test/test_fx.py::TestFX::test_update_args_kwargs_yells_at_you, test/test_fx.py::TestFX::test_update_kwargs_api, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_function, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_module, test/test_fx.py::TestFX::test_varargs_concrete, test/test_fx.py::TestFX::test_wrap, test/test_fx.py::TestFX::test_wrap_decorated_function, test/test_fx.py::TestFX::test_wrap_fn_directly, test/test_fx.py::TestFX::test_wrap_with_submodule, test/test_fx.py::TestFX::test_wrapped_method, test/test_fx.py::TestFX::test_wrapped_retrace, test/test_fx.py::TestFX::test_wrapped_via_decorator, test/test_fx.py::TestFX::test_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_wrong_target_type, test/test_fx.py::TestFX::test_wrong_topo, test/test_fx.py::TestFXAPIBackwardCompatibility::test_adding_side_effect_function, test/test_fx.py::TestFXAPIBackwardCompatibility::test_class_member_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_function_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_preserve_unused_attr_after_unpickle, test/test_fx.py::TestFXAPIBackwardCompatibility::test_public_api_surface, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_affine_grid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_batch_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy_with_logits, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_tbc, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_similarity, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_ctc_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding_bag, test/test_fx.py::TestFunctionalTracing::test_nn_functional_feature_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gaussian_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_glu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_grid_sample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_group_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gumbel_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardswish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hinge_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_huber_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_instance_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_interpolate, test/test_fx.py::TestFunctionalTracing::test_nn_functional_kl_div, test/test_fx.py::TestFunctionalTracing::test_nn_functional_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_layer_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_linear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_local_response_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_log_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_logsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_margin_ranking_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mse_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_head_attention_forward, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_native_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_normalize, test/test_fx.py::TestFunctionalTracing::test_nn_functional_one_hot, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pad, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pairwise_distance, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pdist, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_unshuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_poisson_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_prelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu6, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rms_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_scaled_dot_product_attention, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_silu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_smooth_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmin, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softplus, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_with_distance_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_unfold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_nearest, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_H_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_T_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___getitem___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___radd___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rdiv___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmatmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmod___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rpow___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rsub___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__batch_norm_with_update_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__chunk_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__native_batch_norm_legit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_lengths_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_offsets_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__softmax_backward_data_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_abs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcdiv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_decomposed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_alias_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_all_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_allclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_aminmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_angle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_any_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_arange_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argsort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argwhere_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_partial_views_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_baddbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bernoulli_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bfloat16_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_block_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bool_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_shapes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bucketize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_byte_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cartesian_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cauchy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdouble_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ceil_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cfloat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chalf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_char_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_inverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_max_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_min_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clone_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_column_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_combinations_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_physical_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_constant_pad_nd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_contiguous_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_copysign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_corrcoef_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_count_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cov_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumulative_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_deg2rad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_embed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagflat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diff_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_digamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_floor_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_no_rounding_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_trunc_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_double_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_einsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_permuted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_equal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expm1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eye_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flip_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fliplr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flipud_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gather_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ge_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geometric_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geqrf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gradient_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_grid_sampler_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_half_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_heaviside_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogram_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogramdd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hypot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igammac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_inner_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_int_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isfinite_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isnan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isneginf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isposinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isreal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_item_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_unary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kron_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kthvalue_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ldexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_le_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lerp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lgamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cond_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_det_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eig_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvalsh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_householder_product_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_multi_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_singular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_slogdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_triangular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svdvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorsolve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vander_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vecdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vector_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log10_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log1p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logcumsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_and_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_not_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_or_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_xor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_long_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_unpack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mH_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mT_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matrix_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_maximum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_minimum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_movedim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_msort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_multinomial_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nan_to_num_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmedian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanquantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nansum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_dropout_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ne_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nextafter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_alpha_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_celu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_channel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_ctc_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_elu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_bag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_glu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_grid_sample_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_group_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardswish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardtanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_instance_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_area_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bicubic_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_kl_div_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_local_response_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_logsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_constant_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_negative_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_prelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu6_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rms_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rrelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_selu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_silu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softplus_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softsign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_tanhshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_threshold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_static_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_fro_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_inf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_nuc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_in_place_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_number_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ormqr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_outer_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pca_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pinverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polar_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_positive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_quantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rad2deg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rand_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ravel_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_real_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reciprocal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_remainder_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_renorm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_interleave_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize_as__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_roll_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rot90_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_neg_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scalar_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_searchsorted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sgn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_short_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_bartlett_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_blackman_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_gaussian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hann_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_kaiser_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_nuttall_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signbit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_mm_reduce_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_airy_ai_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_entr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_erfcx_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i0e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_log_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtri_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_xlog1py_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_zeta_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_list_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_square_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_multiple_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_to_size_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_along_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensor_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensordot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_sparse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_topk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapz_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triangular_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tril_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_true_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trunc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unflatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_uniform_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_consecutive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_where_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_xlogy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zero__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_like_cpu_float32, test/test_fx.py::TestVisionTracing::test_torchvision_models_alexnet, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_base, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_small, test/test_fx.py::TestVisionTracing::test_torchvision_models_convnext_tiny, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet121, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet161, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet169, test/test_fx.py::TestVisionTracing::test_torchvision_models_densenet201, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_320_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_mobilenet_v3_large_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fasterrcnn_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_fcos_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_keypointrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_maskrcnn_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_maskrcnn_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_retinanet_resnet50_fpn, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_retinanet_resnet50_fpn_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_ssd300_vgg16, test/test_fx.py::TestVisionTracing::test_torchvision_models_detection_ssdlite320_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b0, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b1, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b2, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b3, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b4, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b5, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b6, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_b7, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_l, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_m, test/test_fx.py::TestVisionTracing::test_torchvision_models_efficientnet_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_googlenet, test/test_fx.py::TestVisionTracing::test_torchvision_models_inception_v3, test/test_fx.py::TestVisionTracing::test_torchvision_models_maxvit_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet0_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet0_75, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_mnasnet1_3, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v2, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_mobilenet_v3_small, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_16gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_1_6gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_32gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_400mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_800mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_x_8gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_128gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_16gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_1_6gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_32gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_3_2gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_400mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_800mf, test/test_fx.py::TestVisionTracing::test_torchvision_models_regnet_y_8gf, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet152, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet18, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet34, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext101_32x8d, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext101_64x4d, test/test_fx.py::TestVisionTracing::test_torchvision_models_resnext50_32x4d, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_deeplabv3_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_fcn_resnet101, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_fcn_resnet50, test/test_fx.py::TestVisionTracing::test_torchvision_models_segmentation_lraspp_mobilenet_v3_large, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x0_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x1_5, test/test_fx.py::TestVisionTracing::test_torchvision_models_shufflenet_v2_x2_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_squeezenet1_0, test/test_fx.py::TestVisionTracing::test_torchvision_models_squeezenet1_1, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_swin_v2_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg11, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg11_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg13, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg13_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg16_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg19, test/test_fx.py::TestVisionTracing::test_torchvision_models_vgg19_bn, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mc3_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mvit_v1_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_mvit_v2_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_r2plus1d_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_r3d_18, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_s3d, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_b, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_s, test/test_fx.py::TestVisionTracing::test_torchvision_models_video_swin3d_t, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_b_16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_b_32, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_h_14, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_l_16, test/test_fx.py::TestVisionTracing::test_torchvision_models_vit_l_32, test/test_fx.py::TestVisionTracing::test_torchvision_models_wide_resnet101_2, test/test_fx.py::TestVisionTracing::test_torchvision_models_wide_resnet50_2 2025-07-17T07:21:10.3887586Z 2025-07-17T07:21:10.3887817Z Running test_show_pickle 1/1 ... [2025-07-17 07:21:10.296995] 2025-07-17T07:21:10.3888242Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:21:10.3889276Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:21:10.297392] 2025-07-17T07:21:13.8677497Z 2025-07-17T07:21:13.8678620Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_d04233016c8e12e1_.log 2025-07-17T07:21:13.8679570Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model 2025-07-17T07:21:13.8680117Z 2025-07-17T07:21:13.8692066Z Running inductor/test_benchmark_fusion 1/1 ... [2025-07-17 07:21:13.869021] 2025-07-17T07:21:13.8692540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:21:13.8695875Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_benchmark_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:21:13.869361] 2025-07-17T07:21:20.8954771Z 2025-07-17T07:21:20.8956046Z inductor/test_benchmark_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmark_fusion_1.1_555588ad869a1896_.log 2025-07-17T07:21:20.8957095Z 2025-07-17T07:21:20.8965044Z Running inductor/test_max_autotune 1/1 ... [2025-07-17 07:21:20.896302] 2025-07-17T07:21:20.8965514Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:21:20.8968670Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_max_autotune.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:21:20.896649] 2025-07-17T07:21:27.3786089Z 2025-07-17T07:21:27.3787416Z inductor/test_max_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_max_autotune_1.1_7e239d74f2aed1c5_.log 2025-07-17T07:21:27.3788156Z 2025-07-17T07:21:27.3789613Z Running test_utils 1/1 ... [2025-07-17 07:21:27.378782] 2025-07-17T07:21:27.3789989Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:21:27.3793248Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:21:27.379112] 2025-07-17T07:24:48.6748768Z 2025-07-17T07:24:48.6749880Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_f5e10ee810802b53_.log 2025-07-17T07:24:48.8944666Z Running 6035 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint, test/test_utils.py::TestCheckpoint::test_checkpoint_module_list, test/test_utils.py::TestCheckpoint::test_checkpoint_no_tensors, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor_inputs_outputs, test/test_utils.py::TestCheckpoint::test_checkpoint_not_preserve_rng_state_and_without_reentrant, test/test_utils.py::TestCheckpoint::test_checkpoint_partial_grad, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cpu, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cuda, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_multiple_args, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_no_args, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_valid, test/test_utils.py::TestCheckpoint::test_checkpointing_without_reentrant_early_free, test/test_utils.py::TestCheckpoint::test_get_device_states_recursive, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_meta, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_multi_cuda, test/test_utils.py::TestDataLoaderUtils::test_multi_drop, test/test_utils.py::TestDataLoaderUtils::test_multi_keep, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_single_drop, test/test_utils.py::TestDataLoaderUtils::test_single_keep, test/test_utils.py::TestBottleneck::test_bottleneck_cpu_only, test/test_utils.py::TestBottleneck::test_bottleneck_cuda, test/test_utils.py::TestCollectEnv::test_smoke, test/test_utils.py::TestONNXUtils::test_check_onnx_broadcast, test/test_utils.py::TestONNXUtils::test_prepare_onnx_paddings, test/test_utils.py::TestHipify::test_import_hipify, test/test_utils.py::TestHipifyTrie::test_add_and_search_trie, test/test_utils.py::TestHipifyTrie::test_add_multiple_and_search_trie, test/test_utils.py::TestHipifyTrie::test_char_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_prefix_words_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_quote_escape, test/test_utils.py::TestHipifyTrie::test_single_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_special_char_export_trie_to_regex, test/test_utils.py::TestAssert::test_assert_scriptable, test/test_utils.py::TestAssert::test_assert_true, test/test_utils.py::TestStandaloneCPPJIT::test_load_standalone, test/test_utils.py::TestRenderUtils::test_basic, test/test_utils.py::TestDeviceUtilsCPU::test_basic_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_generator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex128, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_any_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_arange_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argsort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_argwhere_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_partial_views_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_as_strided_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_asinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_atanh_cpu_int64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_shapes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_one_hot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int8, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_spherical_bessel_j0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_xlog1py_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_zeta_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_more_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_nn_module_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_set_default_device_cpu, test/test_utils.py::TestCppExtensionUtils::test_cc_compiler_is_ok, test/test_utils.py::TestCppExtensionUtils::test_cpp_compiler_is_ok, test/test_utils.py::TestTraceback::test_basic, test/test_utils.py::TestTraceback::test_captured_traceback, test/test_utils.py::TestTraceback::test_captured_traceback_format_all, test/test_utils.py::TestTraceback::test_captured_traceback_format_all_cached, test/test_utils.py::TestTraceback::test_format_traceback_short, test/test_utils.py::TestTryImport::test_import_existing, test/test_utils.py::TestTryImport::test_import_imported, test/test_utils.py::TestTryImport::test_import_missing, test/test_utils.py::TestDeprecate::test_deprecated 2025-07-17T07:24:49.1652739Z 2025-07-17T07:24:49.1652997Z Running test_multiprocessing 1/1 ... [2025-07-17 07:24:48.688234] 2025-07-17T07:24:49.1653435Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:24:49.1654778Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:24:48.688729] 2025-07-17T07:25:49.5921182Z 2025-07-17T07:25:49.5922439Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_194317a4d9177f10_.log 2025-07-17T07:25:49.5937585Z Running 42 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_autograd_errors, test/test_multiprocessing.py::TestMultiprocessing::test_autograd_fine_with_spawn, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_bad_call, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_ipc_deadlock, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_memory_allocation, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_send_many, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_small_tensors, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_shared, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_event, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_exporter, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_importer, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_multi_gpu, test/test_multiprocessing.py::TestMultiprocessing::test_event_multiprocess, test/test_multiprocessing.py::TestMultiprocessing::test_fd_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fd_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fd_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs, test/test_multiprocessing.py::TestMultiprocessing::test_fs_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_fs_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fs_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_inherit_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cpu, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_mixed_types_cuda_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_non_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_rebuild_cuda_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_set_thread_name, test/test_multiprocessing.py::TestMultiprocessing::test_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_wrong_cuda_fork 2025-07-17T07:25:49.5951608Z 2025-07-17T07:25:49.5951803Z Running test_tensorexpr 1/1 ... [2025-07-17 07:25:49.592953] 2025-07-17T07:25:49.5952207Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:25:49.5953352Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:25:49.593298] 2025-07-17T07:26:38.0756377Z 2025-07-17T07:26:38.0757502Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_70e43ad446835d0d_.log 2025-07-17T07:26:38.0778290Z Running 74 items in this shard: test/test_tensorexpr.py::TestTensorExprFuser::test_add_const_rhs, test/test_tensorexpr.py::TestTensorExprFuser::test_add_sub, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_input_and_module, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_module, test/test_tensorexpr.py::TestTensorExprFuser::test_all_combos, test/test_tensorexpr.py::TestTensorExprFuser::test_alpha, test/test_tensorexpr.py::TestTensorExprFuser::test_binary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_bitwise_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast3, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_2, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_big2, test/test_tensorexpr.py::TestTensorExprFuser::test_cat, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_empty_tensors, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_negative_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_only, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_promote_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_with_constant_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_char, test/test_tensorexpr.py::TestTensorExprFuser::test_chunk, test/test_tensorexpr.py::TestTensorExprFuser::test_clamp, test/test_tensorexpr.py::TestTensorExprFuser::test_constant, test/test_tensorexpr.py::TestTensorExprFuser::test_double, test/test_tensorexpr.py::TestTensorExprFuser::test_double_intrinsics, test/test_tensorexpr.py::TestTensorExprFuser::test_dynamic_shape, test/test_tensorexpr.py::TestTensorExprFuser::test_easy, test/test_tensorexpr.py::TestTensorExprFuser::test_eq, test/test_tensorexpr.py::TestTensorExprFuser::test_exp_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_four_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_ge, test/test_tensorexpr.py::TestTensorExprFuser::test_gt, test/test_tensorexpr.py::TestTensorExprFuser::test_guard_fails, test/test_tensorexpr.py::TestTensorExprFuser::test_half_bn_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_half_gelu, test/test_tensorexpr.py::TestTensorExprFuser::test_int64_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_int_output, test/test_tensorexpr.py::TestTensorExprFuser::test_le, test/test_tensorexpr.py::TestTensorExprFuser::test_loop, test/test_tensorexpr.py::TestTensorExprFuser::test_lt, test/test_tensorexpr.py::TestTensorExprFuser::test_mask, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction2, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1_2, test/test_tensorexpr.py::TestTensorExprFuser::test_multi_rand, test/test_tensorexpr.py::TestTensorExprFuser::test_multioutput, test/test_tensorexpr.py::TestTensorExprFuser::test_multiple_outputs, test/test_tensorexpr.py::TestTensorExprFuser::test_nans, test/test_tensorexpr.py::TestTensorExprFuser::test_ne, test/test_tensorexpr.py::TestTensorExprFuser::test_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_propagated_mem_layout, test/test_tensorexpr.py::TestTensorExprFuser::test_rand_like, test/test_tensorexpr.py::TestTensorExprFuser::test_rank_two, test/test_tensorexpr.py::TestTensorExprFuser::test_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_remainder, test/test_tensorexpr.py::TestTensorExprFuser::test_reps, test/test_tensorexpr.py::TestTensorExprFuser::test_round_2, test/test_tensorexpr.py::TestTensorExprFuser::test_scalar, test/test_tensorexpr.py::TestTensorExprFuser::test_short, test/test_tensorexpr.py::TestTensorExprFuser::test_simple_add, test/test_tensorexpr.py::TestTensorExprFuser::test_sin_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_slice, test/test_tensorexpr.py::TestTensorExprFuser::test_sliced_stride, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cpu, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cuda, test/test_tensorexpr.py::TestTensorExprFuser::test_strided_output_preserved, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg2, test/test_tensorexpr.py::TestTensorExprFuser::test_transpose, test/test_tensorexpr.py::TestTensorExprFuser::test_unary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_unsqueeze, test/test_tensorexpr.py::TestTensorExprFuser::test_where 2025-07-17T07:26:38.0798680Z 2025-07-17T07:26:38.0798868Z Running test_jit_disabled 1/1 ... [2025-07-17 07:26:38.077426] 2025-07-17T07:26:38.0799308Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:26:38.0800359Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:26:38.077792] 2025-07-17T07:26:41.4970193Z 2025-07-17T07:26:41.4971202Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_49c893d3ea0b301d_.log 2025-07-17T07:26:41.4972994Z Running 3 items in this shard: test/test_jit_disabled.py::TestJitDisabled::test_attribute, test/test_jit_disabled.py::TestJitDisabled::test_recursive_script, test/test_jit_disabled.py::TestJitDisabled::test_script_module_construction 2025-07-17T07:26:41.4974019Z 2025-07-17T07:26:41.4980095Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-07-17 07:26:41.497804] 2025-07-17T07:26:41.4980567Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:26:41.4984062Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:26:41.498159] 2025-07-17T07:26:45.2683844Z 2025-07-17T07:26:45.2684903Z test_cpp_extensions_mtia_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_mtia_backend_1.1_b1f567336f4f58e2_.log 2025-07-17T07:26:45.2697179Z Running 5 items in this shard: test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_device_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_get_device_module, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_basic, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context_different_device 2025-07-17T07:26:45.2699635Z 2025-07-17T07:26:45.2714988Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-07-17 07:26:45.271299] 2025-07-17T07:26:45.2715538Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:26:45.2718905Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:26:45.271664] 2025-07-17T07:26:49.0413150Z 2025-07-17T07:26:49.0414311Z test_cpp_extensions_stream_and_event 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_stream_and_event_1.1_21f91a44ad6f1965_.log 2025-07-17T07:26:49.0419716Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event 2025-07-17T07:26:49.0420289Z 2025-07-17T07:26:49.0435456Z Running test_dispatch 1/1 ... [2025-07-17 07:26:49.043360] 2025-07-17T07:26:49.0436018Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:26:49.0439372Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:26:49.043710] 2025-07-17T07:27:15.6951192Z 2025-07-17T07:27:15.6952050Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_d0ede0dcc298cf52_.log 2025-07-17T07:27:15.6986142Z Running 32 items in this shard: test/test_dispatch.py::TestDispatch::test_all_invariants, test/test_dispatch.py::TestDispatch::test_computed_table, test/test_dispatch.py::TestDispatch::test_computed_table_with_ambiguous_autogradother, test/test_dispatch.py::TestDispatch::test_computed_table_with_autograd, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math_autogradcpu_fallthrough, test/test_dispatch.py::TestDispatch::test_computed_table_with_math, test/test_dispatch.py::TestDispatch::test_def, test/test_dispatch.py::TestDispatch::test_def_impl_schema_mismatch, test/test_dispatch.py::TestDispatch::test_def_only, test/test_dispatch.py::TestDispatch::test_def_with_explicit_alias, test/test_dispatch.py::TestDispatch::test_def_with_inference, test/test_dispatch.py::TestDispatch::test_dispatch_print_registrations_for_dispatch_key_invalid, test/test_dispatch.py::TestDispatch::test_find_dangling_impls, test/test_dispatch.py::TestDispatch::test_find_dangling_impls_ext, test/test_dispatch.py::TestDispatch::test_impl_only, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_defaulting, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_mismatch, test/test_dispatch.py::TestDispatch::test_multiple_def_error, test/test_dispatch.py::TestDispatch::test_multiple_fallback, test/test_dispatch.py::TestDispatch::test_overwrite_math, test/test_dispatch.py::TestPythonDispatcher::test_autogradother, test/test_dispatch.py::TestPythonDispatcher::test_basic, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_math, test/test_dispatch.py::TestPythonDispatcher::test_duplicate_registrations, test/test_dispatch.py::TestPythonDispatcher::test_math_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_quantized_structured_not_implemented 2025-07-17T07:27:15.6996785Z 2025-07-17T07:27:15.6996998Z Running test_fake_tensor 1/1 ... [2025-07-17 07:27:15.699035] 2025-07-17T07:27:15.6997398Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:27:15.6998452Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:27:15.699398] 2025-07-17T07:27:27.8317763Z 2025-07-17T07:27:27.8319006Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_9c4bc74fb5a36eb7_.log 2025-07-17T07:27:27.8442414Z Running 284 items in this shard: test/test_fake_tensor.py::FakeTensorTest::test__adaptive_avg_pool2d_backward, test/test_fake_tensor.py::FakeTensorTest::test_alias_call, test/test_fake_tensor.py::FakeTensorTest::test_allow_meta, test/test_fake_tensor.py::FakeTensorTest::test_aten_copy_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_index_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_slice_scatter_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_basic, test/test_fake_tensor.py::FakeTensorTest::test_batch_tensor, test/test_fake_tensor.py::FakeTensorTest::test_binary_op_type_promotion, test/test_fake_tensor.py::FakeTensorTest::test_constructor, test/test_fake_tensor.py::FakeTensorTest::test_convert_fake_to_real, test/test_fake_tensor.py::FakeTensorTest::test_cpu_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cuda_initialized, test/test_fake_tensor.py::FakeTensorTest::test_cuda_lstm, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_with_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_without_fallback, test/test_fake_tensor.py::FakeTensorTest::test_custom_op_fallback, test/test_fake_tensor.py::FakeTensorTest::test_data_dependent_operator, test/test_fake_tensor.py::FakeTensorTest::test_deepcopy, test/test_fake_tensor.py::FakeTensorTest::test_device_inplace_copy, test/test_fake_tensor.py::FakeTensorTest::test_embedding_bag_meta, test/test_fake_tensor.py::FakeTensorTest::test_export_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fake_device, test/test_fake_tensor.py::FakeTensorTest::test_fake_dispatch_keys, test/test_fake_tensor.py::FakeTensorTest::test_fake_grad_copy, test/test_fake_tensor.py::FakeTensorTest::test_fake_mode_error, test/test_fake_tensor.py::FakeTensorTest::test_fast_div, test/test_fake_tensor.py::FakeTensorTest::test_from_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fsdp_flat_param, test/test_fake_tensor.py::FakeTensorTest::test_full, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex128, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int16, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int8, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_uint8, test/test_fake_tensor.py::FakeTensorTest::test_index_put_error, test/test_fake_tensor.py::FakeTensorTest::test_jagged_fake_to_fake_preserved, test/test_fake_tensor.py::FakeTensorTest::test_like_constructor, test/test_fake_tensor.py::FakeTensorTest::test_mixed_real_and_fake_inputs, test/test_fake_tensor.py::FakeTensorTest::test_mode, test/test_fake_tensor.py::FakeTensorTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorTest::test_nanmean_out, test/test_fake_tensor.py::FakeTensorTest::test_new, test/test_fake_tensor.py::FakeTensorTest::test_no_tag_func, test/test_fake_tensor.py::FakeTensorTest::test_non_kwarg_device, test/test_fake_tensor.py::FakeTensorTest::test_non_overlapping_stride_zero, test/test_fake_tensor.py::FakeTensorTest::test_non_parameter_grad, test/test_fake_tensor.py::FakeTensorTest::test_normalize_device, test/test_fake_tensor.py::FakeTensorTest::test_out_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_parameter_instantiation, test/test_fake_tensor.py::FakeTensorTest::test_parameter_view, test/test_fake_tensor.py::FakeTensorTest::test_print_in_fake_mode, test/test_fake_tensor.py::FakeTensorTest::test_randperm, test/test_fake_tensor.py::FakeTensorTest::test_recursive_invocation, test/test_fake_tensor.py::FakeTensorTest::test_repr, test/test_fake_tensor.py::FakeTensorTest::test_same_shape_env_preserved, test/test_fake_tensor.py::FakeTensorTest::test_scalar_inputs, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_False, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_True, test/test_fake_tensor.py::FakeTensorTest::test_setitem, test/test_fake_tensor.py::FakeTensorTest::test_shape_take_not_device, test/test_fake_tensor.py::FakeTensorTest::test_split_return_self, test/test_fake_tensor.py::FakeTensorTest::test_throw, test/test_fake_tensor.py::FakeTensorTest::test_tolist, test/test_fake_tensor.py::FakeTensorTest::test_type_as, test/test_fake_tensor.py::FakeTensorTest::test_unbind_copy_out, test/test_fake_tensor.py::FakeTensorTest::test_unsqueeze_copy, test/test_fake_tensor.py::FakeTensorTest::test_upsample_bilinear_small_channels, test/test_fake_tensor.py::FakeTensorTest::test_zero_dim, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test__adaptive_avg_pool2d_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_alias_call_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_allow_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_copy_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_index_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_slice_scatter_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_basic_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_batch_tensor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_binary_op_type_promotion_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_convert_fake_to_real_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cpu_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_initialized_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_lstm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_with_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_without_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_custom_op_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_data_dependent_operator_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_deepcopy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_device_inplace_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_embedding_bag_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_export_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_dispatch_keys_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_grad_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fast_div_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_from_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fsdp_flat_param_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_full_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex128_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int16_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_uint8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_put_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_jagged_fake_to_fake_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_like_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mixed_real_and_fake_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nanmean_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_no_tag_func_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_overlapping_stride_zero_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_parameter_grad_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_normalize_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_out_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_instantiation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_print_in_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_randperm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_recursive_invocation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_repr_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_same_shape_env_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scalar_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_False_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_True_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_setitem_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_shape_take_not_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_split_return_self_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_throw_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_tolist_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_type_as_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unbind_copy_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unsqueeze_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_upsample_bilinear_small_channels_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_zero_dim_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorConstHandling::test_aliased_const_write, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_propagate_through_functions, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_batch_norm_cpu, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_in_intlist_repro, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_add, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_view_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storage_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storages, test/test_fake_tensor.py::FakeTensorConstHandling::test_simple, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_aliased_const_write_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_propagate_through_functions_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_batch_norm_cpu_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_in_intlist_repro_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_add_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_view_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storage_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storages_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_simple_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_key, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_weak_ref, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_from_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_to_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_multiple_modes, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_active_mode, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_ref_cycle, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_mode_error, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_non_view, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_view, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_key_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_weak_ref_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_from_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_to_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_multiple_modes_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_active_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_ref_cycle_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_non_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_view_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_conv_c1_backward, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_cross_entropy_loss, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_embedding_bag_private, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_fake_gpu_no_init, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_flash_attention, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_like_ops, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_no_dispatch_with_like_function, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_non_kwarg_only_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_sparse_new, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_str_storage, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_new, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_conv_c1_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_cross_entropy_loss_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_embedding_bag_private_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_fake_gpu_no_init_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_flash_attention_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_like_ops_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_module_to_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_no_dispatch_with_like_function_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_non_kwarg_only_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_sparse_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_str_storage_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_new_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args, test/test_fake_tensor.py::FakeTensorPropTest::test_nonzero_stride, test/test_fake_tensor.py::FakeTensorPropTest::test_torch_load_with_fake_mode, test/test_fake_tensor.py::FakeTensorPropTest::test_unbacked_shape_realloc, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nonzero_stride_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_torch_load_with_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_unbacked_shape_realloc_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization_with_tracing, test/test_fake_tensor.py::FakeTensorDispatchCache::test__upsample_bilinear2d_aa_backward_dynamic_shapes, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_aten_index, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_bypass, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_dispatch_key_set, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_hit, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_inplace_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_constants, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_conj, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_inference, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_neg, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_memory_format, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_requires_grad, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_shape, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_storage_offset, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_stride, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_tuple_outputs, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_view_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_fft_hfft2_issue145522, test/test_fake_tensor.py::FakeTensorDispatchCache::test_from_buffer, test/test_fake_tensor.py::FakeTensorDispatchCache::test_inference_mode, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph_cacheable_inplace, test/test_fake_tensor.py::FakeTensorDispatchCache::test_meta_tensor_to_fake_cpu, test/test_fake_tensor.py::FakeTensorDispatchCache::test_shape_env_settings, test/test_fake_tensor.py::FakeTensorDispatchCache::test_unbacked_output, test/test_fake_tensor.py::FakeTensorDispatchCache::test_wrapper_tensor_subclass_different_device 2025-07-17T07:27:27.8556169Z 2025-07-17T07:27:27.8556383Z Running test_python_dispatch 1/1 ... [2025-07-17 07:27:27.833459] 2025-07-17T07:27:27.8556815Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:27:27.8557859Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:27:27.833908] 2025-07-17T07:27:33.0560536Z 2025-07-17T07:27:33.0561865Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_f654ead0089b1978_.log 2025-07-17T07:27:33.0610744Z Running 118 items in this shard: test/test_python_dispatch.py::TestDispatcherPythonBindings::test_call_boxed, test/test_python_dispatch.py::TestPythonRegistration::test_alias_analysis, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_no_existing, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_with_existing, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_eq, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_pickle, test/test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind, test/test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable, test/test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg, test/test_python_dispatch.py::TestPythonRegistration::test_fallback, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_keyset, test/test_python_dispatch.py::TestPythonRegistration::test_fallthrough_for_dense_key_with_meta_in_tls, test/test_python_dispatch.py::TestPythonRegistration::test_finalizer, test/test_python_dispatch.py::TestPythonRegistration::test_override_aten_ops_with_multiple_libraries, test/test_python_dispatch.py::TestPythonRegistration::test_override_cpu_sum, test/test_python_dispatch.py::TestPythonRegistration::test_override_cuda_with_jiterator, test/test_python_dispatch.py::TestPythonRegistration::test_register_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_returning_symint, test/test_python_dispatch.py::TestPythonDispatch::test_all_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_autograd_in_attr, test/test_python_dispatch.py::TestPythonDispatch::test_basic, test/test_python_dispatch.py::TestPythonDispatch::test_capture_logs_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_construct_int_tensor, test/test_python_dispatch.py::TestPythonDispatch::test_custom_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_not_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_size_policy_dynamic_shapes, test/test_python_dispatch.py::TestPythonDispatch::test_data_ptr_respects_numel_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_non_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass_with_clone_returning_different_type, test/test_python_dispatch.py::TestPythonDispatch::test_detach_appears_twice_when_called_once, test/test_python_dispatch.py::TestPythonDispatch::test_device_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dim_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call_list_arg, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_dont_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_error_using_class_method_on_mode, test/test_python_dispatch.py::TestPythonDispatch::test_exception_handling, test/test_python_dispatch.py::TestPythonDispatch::test_fancy_strides, test/test_python_dispatch.py::TestPythonDispatch::test_format, test/test_python_dispatch.py::TestPythonDispatch::test_get_cur_mode, test/test_python_dispatch.py::TestPythonDispatch::test_get_mode_stack, test/test_python_dispatch.py::TestPythonDispatch::test_index_put_where_only_index_is_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_invalid_ret, test/test_python_dispatch.py::TestPythonDispatch::test_is_contiguous_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only_and_positional_default, test/test_python_dispatch.py::TestPythonDispatch::test_layout_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_like, test/test_python_dispatch.py::TestPythonDispatch::test_list_ret, test/test_python_dispatch.py::TestPythonDispatch::test_make_fx_with_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_make_subclass_with_modes, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_noalloc, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_propagates_metadata, test/test_python_dispatch.py::TestPythonDispatch::test_maybe_tuple_bug, test/test_python_dispatch.py::TestPythonDispatch::test_mode_detection, test/test_python_dispatch.py::TestPythonDispatch::test_mode_with_make_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_multiple_ops_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_nested_push_logging_tensor_mode, test/test_python_dispatch.py::TestPythonDispatch::test_nesting_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_new_ones, test/test_python_dispatch.py::TestPythonDispatch::test_none_wrapping, test/test_python_dispatch.py::TestPythonDispatch::test_notimplemented_mode, test/test_python_dispatch.py::TestPythonDispatch::test_optional_tensor_list, test/test_python_dispatch.py::TestPythonDispatch::test_out, test/test_python_dispatch.py::TestPythonDispatch::test_produce_real_type, test/test_python_dispatch.py::TestPythonDispatch::test_record_stream, test/test_python_dispatch.py::TestPythonDispatch::test_return_and_correct_aliasing_gives_correct_stride, test/test_python_dispatch.py::TestPythonDispatch::test_return_stream, test/test_python_dispatch.py::TestPythonDispatch::test_set_data, test/test_python_dispatch.py::TestPythonDispatch::test_shallow_copy_and_detach, test/test_python_dispatch.py::TestPythonDispatch::test_sizes_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_standard_is_not_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_storage, test/test_python_dispatch.py::TestPythonDispatch::test_storage_can_be_converted_to_python_object, test/test_python_dispatch.py::TestPythonDispatch::test_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_autograd_device_check, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_creation, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_sym_sizes_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_tolist_numpy_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_basic, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_respects_no_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_unrelated_tensors, test/test_python_dispatch.py::TestPythonDispatch::test_version, test/test_python_dispatch.py::TestPythonDispatch::test_view_returns_alias_under_torch_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_with_mode_created_separately, test/test_python_dispatch.py::TestPythonDispatch::test_with_nested_modes, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_extra_dispatch_keys, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_multiprocessing_preserves_dtype, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_reentrant_dispatch_with_mode, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_serializes, test/test_python_dispatch.py::TestPythonDispatcher::test_basic, test/test_python_dispatch.py::TestPythonDispatcher::test_lstsq, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_cat_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_conv2d_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulScalarCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_fft_fft2_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_mul_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_native_batch_norm_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_out_op_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_list_args_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_view_cpu_float32 2025-07-17T07:27:33.0657184Z 2025-07-17T07:27:33.0657462Z Running test_autograd_fallback 1/1 ... [2025-07-17 07:27:33.058061] 2025-07-17T07:27:33.0657897Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:27:33.0658951Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:27:33.058427] 2025-07-17T07:27:36.3776976Z 2025-07-17T07:27:36.3777939Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_41c54bf519f00004_.log 2025-07-17T07:27:36.3796629Z Running 28 items in this shard: test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_warn 2025-07-17T07:27:36.3808816Z 2025-07-17T07:27:36.3809056Z Running test_cuda_nvml_based_avail 1/1 ... [2025-07-17 07:27:36.378675] 2025-07-17T07:27:36.3809597Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:27:36.3810780Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:27:36.380152] 2025-07-17T07:27:39.4840054Z 2025-07-17T07:27:39.4841220Z test_cuda_nvml_based_avail 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_nvml_based_avail_1.1_ff8c4f1a1c1b6fe8_.log 2025-07-17T07:27:39.4842617Z Running 0 items in this shard: 2025-07-17T07:27:39.4842827Z 2025-07-17T07:27:39.4849737Z Running test_tensor_creation_ops 1/1 ... [2025-07-17 07:27:39.484794] 2025-07-17T07:27:39.4850214Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:27:39.4853428Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:27:39.485126] 2025-07-17T07:28:08.0415786Z 2025-07-17T07:28:08.0417227Z test_tensor_creation_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensor_creation_ops_1.1_afd231d102d9e260_.log 2025-07-17T07:28:08.0661399Z Running 641 items in this shard: test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_strided_neg_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_scipy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cartesian_prod_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_big_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_in_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_memory_format_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_preserve_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_stack_cross_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_combinations_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_complex_type_conversions_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_concat_empty_list_error_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_device_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_dtypes_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ctor_with_numpy_array_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diag_embed_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diagflat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_full_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_overflow_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_tensor_props_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_eye_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_fill_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_False_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_True_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_like_fn_stride_proparation_vs_tensoriterator_unary_op_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linlogspace_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_default_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_is_default_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_dtype_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_non_1d_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_unsupported_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_vs_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_warns_if_no_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_xy_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_methods_requires_grad_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_offset_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ones_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_factories_64bit_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_warning_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_repeat_interleave_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_roll_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_simple_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_storage_filename_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_strided_mismatched_stride_shape_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_ctor_device_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factories_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_copy_var_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_non_writable_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_sequence_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_out_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_std_error_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_distribution_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_inference_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_bfloat16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_random_neg_values_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_device_compatibility_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_large_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_empty_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_full_like_inference_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_byte_to_int_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_astensor_consistency_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_default_device_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_device_without_index_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_numpy_scalars_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_mult_devices_cpu_float32 2025-07-17T07:28:08.0899660Z 2025-07-17T07:28:08.0900067Z Running test_cuda_trace 1/1 ... [2025-07-17 07:28:08.043449] 2025-07-17T07:28:08.0900493Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:28:08.0901582Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:28:08.043822] 2025-07-17T07:28:11.1716080Z 2025-07-17T07:28:11.1717177Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_3aecf6b86ac348f5_.log 2025-07-17T07:28:11.1717985Z Running 0 items in this shard: 2025-07-17T07:28:11.1718183Z 2025-07-17T07:28:11.1731182Z Running test_autocast 1/1 ... [2025-07-17 07:28:11.172945] 2025-07-17T07:28:11.1731593Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:28:11.1735196Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:28:11.173304] 2025-07-17T07:28:15.1431611Z 2025-07-17T07:28:15.1432553Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_e1ae326208b6c56f_.log 2025-07-17T07:28:15.1443332Z Running 20 items in this shard: test/test_autocast.py::TestAutocastCPU::test_autocast_disabled_with_fp32_dtype, test/test_autocast.py::TestAutocastCPU::test_autocast_methods_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_16, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_rnn, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_16, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_need_autocast_promote, test/test_autocast.py::TestAutocastCPU::test_cpu_autocast_deprecated_warning, test/test_autocast.py::TestAutocastCPU::test_generic_autocast, test/test_autocast.py::TestAutocastGPU::test_autocast_prioritize, test/test_autocast.py::TestAutocastGPU::test_cache_disabled, test/test_autocast.py::TestAutocastGPU::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_bfloat16_supported, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_error_message, test/test_autocast.py::TestTorchAutocast::test_autocast_fast_dtype, test/test_autocast.py::TestTorchAutocast::test_invalid_device, test/test_autocast.py::TestTorchAutocast::test_non_string_device 2025-07-17T07:28:15.1450610Z 2025-07-17T07:28:15.1450850Z Running dynamo/test_fake_distributed 1/1 ... [2025-07-17 07:28:15.144557] 2025-07-17T07:28:15.1451313Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:28:15.1452458Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:28:15.144897] 2025-07-17T07:28:18.4589187Z 2025-07-17T07:28:18.4590180Z dynamo/test_fake_distributed 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fake_distributed_1.1_2c2f364aed78fb57_.log 2025-07-17T07:28:18.4590935Z 2025-07-17T07:28:18.4605716Z Running test_cpp_extensions_jit 1/1 ... [2025-07-17 07:28:18.460385] 2025-07-17T07:28:18.4606205Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:28:18.4609406Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:28:18.460728] 2025-07-17T07:28:54.5770171Z 2025-07-17T07:28:54.5771091Z test_cpp_extensions_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_jit_1.1_da532e7c059c9fa7_.log 2025-07-17T07:28:54.5803202Z Running 34 items in this shard: test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_aoti_torch_call_dispatcher, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_autograd_from_cpp, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_compilation_error_formatting, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_same_output_as_python, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_up_to_date_attributes, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op_with_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_non_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_pluggable_allocator_include, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_compound_op_autograd, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_functorch_error, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_gen_extension_h_pch, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_half_support, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_custom_op_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_multiple_sources_and_no_functions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_throws_when_functions_is_bad, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_dict, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_list, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_xpu, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_compile_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_archflags, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cudnn_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_archlists, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_lenient_flag_handling_in_jit_extensions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_load_with_non_platform_default_encoding, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_mps_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_reload_jit_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_returns_shared_library_path_when_is_python_module_is_true, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_set_default_type_also_changes_aten_default_type, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_warning 2025-07-17T07:28:54.5816530Z 2025-07-17T07:28:56.5688468Z Uploading artifacts took 1.99 seconds 2025-07-17T07:28:56.5698255Z Running test_cuda_primary_ctx 1/1 ... [2025-07-17 07:28:56.569613] 2025-07-17T07:28:56.5698788Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:28:56.5721398Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:28:56.571776] 2025-07-17T07:28:59.7729329Z 2025-07-17T07:28:59.7730339Z test_cuda_primary_ctx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_primary_ctx_1.1_c7fb64be1ab34a23_.log 2025-07-17T07:28:59.7731362Z Running 0 items in this shard: 2025-07-17T07:28:59.7731569Z 2025-07-17T07:28:59.7739320Z Running test_torch 1/1 ... [2025-07-17 07:28:59.773755] 2025-07-17T07:28:59.7739732Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:28:59.7743172Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:28:59.774097] 2025-07-17T07:29:20.6222446Z 2025-07-17T07:29:20.6223286Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_93869ad4227b00c1_.log 2025-07-17T07:29:20.6565182Z Running 1045 items in this shard: test/test_torch.py::TestBasicVitalSigns::test_basic_vitals, test/test_torch.py::TestBasicVitalSigns::test_basic_vitals_read_write, test/test_torch.py::TestBasicVitalSigns::test_dataloader_vitals, test/test_torch.py::TestTorch::test_RNGState, test/test_torch.py::TestTorch::test_RNGStateAliasing, test/test_torch.py::TestTorch::test_RNG_after_pickle, test/test_torch.py::TestTorch::test_Size, test/test_torch.py::TestTorch::test_Size_concat_non_tuple_sequence, test/test_torch.py::TestTorch::test_Size_concat_wildcard, test/test_torch.py::TestTorch::test_Size_iter, test/test_torch.py::TestTorch::test_Size_scalar, test/test_torch.py::TestTorch::test_add_meta_scalar, test/test_torch.py::TestTorch::test_allow_tensor_metadata_change, test/test_torch.py::TestTorch::test_apply, test/test_torch.py::TestTorch::test_as_subclass, test/test_torch.py::TestTorch::test_assert_async, test/test_torch.py::TestTorch::test_backward_hooks_traverse, test/test_torch.py::TestTorch::test_batch_norm_cpu_inference, test/test_torch.py::TestTorch::test_bf16_supported_on_cpu, test/test_torch.py::TestTorch::test_bmm_multithreaded, test/test_torch.py::TestTorch::test_boxMullerState, test/test_torch.py::TestTorch::test_cat_neg_dim, test/test_torch.py::TestTorch::test_check, test/test_torch.py::TestTorch::test_chunk_neg_dim, test/test_torch.py::TestTorch::test_conj_neg_tolist, test/test_torch.py::TestTorch::test_conj_physical_meta_stride, test/test_torch.py::TestTorch::test_contains, test/test_torch.py::TestTorch::test_copy_broadcast, test/test_torch.py::TestTorch::test_copy_dtypes, test/test_torch.py::TestTorch::test_copy_float16, test/test_torch.py::TestTorch::test_copy_many_to_one, test/test_torch.py::TestTorch::test_copy_transpose, test/test_torch.py::TestTorch::test_cuda_not_built, test/test_torch.py::TestTorch::test_cummax_neg_dim, test/test_torch.py::TestTorch::test_cummin_neg_dim, test/test_torch.py::TestTorch::test_cumprod_neg_dim, test/test_torch.py::TestTorch::test_cumsum_neg_dim, test/test_torch.py::TestTorch::test_cxx_flags, test/test_torch.py::TestTorch::test_data_ptr_of_empty_tensor_with_storage, test/test_torch.py::TestTorch::test_data_ptr_of_empty_view_with_storage, test/test_torch.py::TestTorch::test_deepcopy_gradient, test/test_torch.py::TestTorch::test_deepcopy_parameter, test/test_torch.py::TestTorch::test_deterministic_fill_uninitialized_memory, test/test_torch.py::TestTorch::test_deterministic_flag, test/test_torch.py::TestTorch::test_device, test/test_torch.py::TestTorch::test_dim_order, test/test_torch.py::TestTorch::test_dir, test/test_torch.py::TestTorch::test_doc, test/test_torch.py::TestTorch::test_doc_template, test/test_torch.py::TestTorch::test_dot_data_use, test/test_torch.py::TestTorch::test_dtype_is_signed, test/test_torch.py::TestTorch::test_element_size, test/test_torch.py::TestTorch::test_empty_meta, test/test_torch.py::TestTorch::test_empty_storage_view, test/test_torch.py::TestTorch::test_equal, test/test_torch.py::TestTorch::test_error_msg_type_translation, test/test_torch.py::TestTorch::test_fill_diagonal, test/test_torch.py::TestTorch::test_format_scalar_meta, test/test_torch.py::TestTorch::test_from_buffer, test/test_torch.py::TestTorch::test_from_file, test/test_torch.py::TestTorch::test_gather_neg_dim, test/test_torch.py::TestTorch::test_generator_cpu, test/test_torch.py::TestTorch::test_get_cpu_capability, test/test_torch.py::TestTorch::test_has_internal_overlap, test/test_torch.py::TestTorch::test_has_storage, test/test_torch.py::TestTorch::test_index_add, test/test_torch.py::TestTorch::test_index_add_all_dtypes, test/test_torch.py::TestTorch::test_index_add_cornercase, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_neg_dim, test/test_torch.py::TestTorch::test_index_copy_neg_dim, test/test_torch.py::TestTorch::test_index_fill_neg_dim, test/test_torch.py::TestTorch::test_index_select_neg_dim, test/test_torch.py::TestTorch::test_invalid_arg_error_handling, test/test_torch.py::TestTorch::test_invalid_generator_raises, test/test_torch.py::TestTorch::test_is_nonzero, test/test_torch.py::TestTorch::test_is_same_size, test/test_torch.py::TestTorch::test_iter, test/test_torch.py::TestTorch::test_kthvalue_neg_dim, test/test_torch.py::TestTorch::test_linspace_logspace, test/test_torch.py::TestTorch::test_logcumsumexp_neg_dim, test/test_torch.py::TestTorch::test_manual_seed, test/test_torch.py::TestTorch::test_map, test/test_torch.py::TestTorch::test_map2, test/test_torch.py::TestTorch::test_max_neg_dim, test/test_torch.py::TestTorch::test_mean_neg_dim, test/test_torch.py::TestTorch::test_median_neg_dim, test/test_torch.py::TestTorch::test_memory_format, test/test_torch.py::TestTorch::test_memory_format_contiguous_returns_same_tensor_if_already_satisfies, test/test_torch.py::TestTorch::test_memory_format_empty, test/test_torch.py::TestTorch::test_min_neg_dim, test/test_torch.py::TestTorch::test_mode_neg_dim, test/test_torch.py::TestTorch::test_multinomial_invalid_probs, test/test_torch.py::TestTorch::test_nanmedian_neg_dim, test/test_torch.py::TestTorch::test_narrow_neg_dim, test/test_torch.py::TestTorch::test_nbytes, test/test_torch.py::TestTorch::test_ndim, test/test_torch.py::TestTorch::test_new, test/test_torch.py::TestTorch::test_newaxis_numpy_comparison, test/test_torch.py::TestTorch::test_newindex, test/test_torch.py::TestTorch::test_no_cuda_monkeypatch, test/test_torch.py::TestTorch::test_norm_neg_dim, test/test_torch.py::TestTorch::test_normal_shape, test/test_torch.py::TestTorch::test_numel, test/test_torch.py::TestTorch::test_parallel_info, test/test_torch.py::TestTorch::test_parsing_double, test/test_torch.py::TestTorch::test_parsing_int64, test/test_torch.py::TestTorch::test_parsing_intlist, test/test_torch.py::TestTorch::test_permute, test/test_torch.py::TestTorch::test_pickle, test/test_torch.py::TestTorch::test_pickle_dtype, test/test_torch.py::TestTorch::test_pickle_function, test/test_torch.py::TestTorch::test_pickle_generator, test/test_torch.py::TestTorch::test_pickle_parameter, test/test_torch.py::TestTorch::test_pickle_parameter_no_requires_grad, test/test_torch.py::TestTorch::test_pickle_size, test/test_torch.py::TestTorch::test_pin_memory, test/test_torch.py::TestTorch::test_print, test/test_torch.py::TestTorch::test_prod_neg_dim, test/test_torch.py::TestTorch::test_pyobj_preserved, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_renorm_neg_dim, test/test_torch.py::TestTorch::test_resizable, test/test_torch.py::TestTorch::test_reversed, test/test_torch.py::TestTorch::test_scatter_neg_dim, test/test_torch.py::TestTorch::test_select_neg_dim, test/test_torch.py::TestTorch::test_set_flush_denormal, test/test_torch.py::TestTorch::test_setting_real_imag_to_a_number, test/test_torch.py::TestTorch::test_show_config, test/test_torch.py::TestTorch::test_size_neg_dim, test/test_torch.py::TestTorch::test_size_stride, test/test_torch.py::TestTorch::test_sizeof, test/test_torch.py::TestTorch::test_slice, test/test_torch.py::TestTorch::test_slow_test, test/test_torch.py::TestTorch::test_sobolengine_bounds, test/test_torch.py::TestTorch::test_sobolengine_bounds_scrambled, test/test_torch.py::TestTorch::test_sobolengine_continuing, test/test_torch.py::TestTorch::test_sobolengine_continuing_scrambled, test/test_torch.py::TestTorch::test_sobolengine_default_dtype, test/test_torch.py::TestTorch::test_sobolengine_distribution, test/test_torch.py::TestTorch::test_sobolengine_distribution_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw, test/test_torch.py::TestTorch::test_sobolengine_draw_base2, test/test_torch.py::TestTorch::test_sobolengine_draw_base2_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw_scrambled, test/test_torch.py::TestTorch::test_sobolengine_fast_forward, test/test_torch.py::TestTorch::test_sobolengine_fast_forward_scrambled, test/test_torch.py::TestTorch::test_sobolengine_first_point, test/test_torch.py::TestTorch::test_sobolengine_high_dim, test/test_torch.py::TestTorch::test_sobolengine_raise, test/test_torch.py::TestTorch::test_sobolengine_reset, test/test_torch.py::TestTorch::test_sobolengine_reset_scrambled, test/test_torch.py::TestTorch::test_sort_neg_dim, test/test_torch.py::TestTorch::test_split_neg_dim, test/test_torch.py::TestTorch::test_split_with_sizes_copy_out, test/test_torch.py::TestTorch::test_squeeze_neg_dim, test/test_torch.py::TestTorch::test_std_neg_dim, test/test_torch.py::TestTorch::test_storage_base_init, test/test_torch.py::TestTorch::test_storage_base_new, test/test_torch.py::TestTorch::test_storage_byteswap, test/test_torch.py::TestTorch::test_storage_casts, test/test_torch.py::TestTorch::test_storage_cycle_via_dict, test/test_torch.py::TestTorch::test_storage_cycle_via_slots, test/test_torch.py::TestTorch::test_storage_dead_weak_ref, test/test_torch.py::TestTorch::test_storage_dealloc, test/test_torch.py::TestTorch::test_storage_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_zombie, test/test_torch.py::TestTorch::test_storage_dict_dealloc, test/test_torch.py::TestTorch::test_storage_error, test/test_torch.py::TestTorch::test_storage_error_no_attribute, test/test_torch.py::TestTorch::test_storage_finalizer_dealloc, test/test_torch.py::TestTorch::test_storage_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_zombie, test/test_torch.py::TestTorch::test_storage_preserve_nonhermetic_in_hermetic_context, test/test_torch.py::TestTorch::test_storage_resurrected_weak_ref, test/test_torch.py::TestTorch::test_storage_slot_dealloc, test/test_torch.py::TestTorch::test_storage_weakref_dealloc, test/test_torch.py::TestTorch::test_structseq_repr, test/test_torch.py::TestTorch::test_subclass_preserved, test/test_torch.py::TestTorch::test_subclass_tensors, test/test_torch.py::TestTorch::test_sum_neg_dim, test/test_torch.py::TestTorch::test_swap_basic, test/test_torch.py::TestTorch::test_swap_fail_slots, test/test_torch.py::TestTorch::test_t_not_2d_error, test/test_torch.py::TestTorch::test_tensor_base_init, test/test_torch.py::TestTorch::test_tensor_base_new, test/test_torch.py::TestTorch::test_tensor_ctor_scalar, test/test_torch.py::TestTorch::test_tensor_cycle_via_dict, test/test_torch.py::TestTorch::test_tensor_cycle_via_slots, test/test_torch.py::TestTorch::test_tensor_dead_weak_ref, test/test_torch.py::TestTorch::test_tensor_dict_dealloc, test/test_torch.py::TestTorch::test_tensor_finalizer_dealloc, test/test_torch.py::TestTorch::test_tensor_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_tensor_item_no_warning, test/test_torch.py::TestTorch::test_tensor_ressurecting_clear, test/test_torch.py::TestTorch::test_tensor_resurrected_weak_ref, test/test_torch.py::TestTorch::test_tensor_set, test/test_torch.py::TestTorch::test_tensor_set_errors, test/test_torch.py::TestTorch::test_tensor_slot_dealloc, test/test_torch.py::TestTorch::test_tensor_weakref_dealloc, test/test_torch.py::TestTorch::test_tensor_where_scalar, test/test_torch.py::TestTorch::test_tensor_with_grad_to_scalar_warning, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_terminate_handler_on_crash, test/test_torch.py::TestTorch::test_to, test/test_torch.py::TestTorch::test_to_with_tensor, test/test_torch.py::TestTorch::test_topk_neg_dim, test/test_torch.py::TestTorch::test_torch_from_file, test/test_torch.py::TestTorch::test_transpose_neg_dim, test/test_torch.py::TestTorch::test_type, test/test_torch.py::TestTorch::test_type_alias, test/test_torch.py::TestTorch::test_type_conversion_via_dtype_name, test/test_torch.py::TestTorch::test_typed_storage_deprecation_warning, test/test_torch.py::TestTorch::test_typed_storage_internal_no_warning, test/test_torch.py::TestTorch::test_unbind_neg_dim, test/test_torch.py::TestTorch::test_unflatten, test/test_torch.py::TestTorch::test_unfold_neg_dim, test/test_torch.py::TestTorch::test_unsqueeze_neg_dim, test/test_torch.py::TestTorch::test_upsample_nearest1d_meta, test/test_torch.py::TestTorch::test_upsample_nearest2d_meta, test/test_torch.py::TestTorch::test_var_neg_dim, test/test_torch.py::TestTorch::test_warn_types, test/test_torch.py::TestTorch::test_wildcard_import, test/test_torch.py::TestVitalSignsCudaCPU::test_cuda_vitals_gpu_only_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test__local_scalar_dense_with_empty_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cuda_errors_with_cpu_scalars_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_assertRaisesRegex_ignore_msg_non_native_device_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bfloat16_neg_abs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bool_tensor_value_change_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_add_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcdiv_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcmul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_atan2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_copy_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_div_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_eq_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_fmod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ge_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_gt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_le_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lerp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_fill_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_scatter_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_select_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_min_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_mul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ne_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_pow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_remainder_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_sub_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_cuda_backward_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_euclidean_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_grad_p_lt_1_no_nan_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_same_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_all_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_internal_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_not_memory_dense_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_zero_stride_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_complex_half_experimental_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_constants_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_backward_agnostic_to_memory_format_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_math_view_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cov_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cpp_warnings_have_python_context_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cublas_config_nondeterministic_alert_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_cummin_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummin_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumprod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_64bit_indexing_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_replication_pad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_device_guard_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_dim_function_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_discontiguous_out_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dtypetensor_warnings_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_errors_index_copy_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_expected_failure_xla_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_deterministic_path_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_one_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scale_will_not_overflow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_deprecated_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_pass_itself_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_accumulation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_separate_unscale_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_multiple_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_penalty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_state_dict_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_sparse_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_update_scale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_type_promotion_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_hook_remove_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_deterministic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_large_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_deterministic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_scalars_cpu_int32, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_put_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_put_non_accumulate_deterministic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amax_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_amin_cpu_uint8, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_reduce_reduce_prod_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_float8_e4m3fn, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_float8_e4m3fnuz, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_float8_e5m2, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_float8_e5m2fnuz, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_select_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_int64_upsample3d_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_invalid_shapes_grid_sampler_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_set_to_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_signed_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e4m3fn, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e4m3fnuz, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e5m2, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_float8_e5m2fnuz, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_large_cumprod_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_large_cumsum_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_uint8, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_all_devices_non_blocking_False_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_all_devices_non_blocking_True_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_errors_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_from_tensor_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_meta_ok_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_qint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_qint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint4x2, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_quint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_use_count_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_strides_propagation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_sync_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_set_errors_multigpu_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_shape_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_ternary_op_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_untyped_storage_meta_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_warn_always_caught_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_where_scalar_handcrafted_values_cpu 2025-07-17T07:29:20.6888086Z 2025-07-17T07:29:20.6888288Z Running test_native_mha 1/1 ... [2025-07-17 07:29:20.624977] 2025-07-17T07:29:20.6888721Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:29:20.6889766Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:29:20.625425] 2025-07-17T07:29:24.0955260Z 2025-07-17T07:29:24.0956435Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_cef4a766371e26bd_.log 2025-07-17T07:29:24.0978737Z Running 28 items in this shard: test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_encoder_decoder_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_nested_cpu_float32 2025-07-17T07:29:24.0999776Z 2025-07-17T07:29:24.0999988Z Running test_sort_and_select 1/1 ... [2025-07-17 07:29:24.095785] 2025-07-17T07:29:24.1000415Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:29:24.1001451Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:29:24.096134] 2025-07-17T07:29:29.4183682Z 2025-07-17T07:29:29.4184815Z test_sort_and_select 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sort_and_select_1.1_a44705181c36ae27_.log 2025-07-17T07:29:29.4223987Z Running 113 items in this shard: test/test_sort_and_select.py::TestSortAndSelectCPU::test_complex_unsupported_cpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_dtypes_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_scalar_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_slow_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_expanded_tensor_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_slice_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_restride_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_stable_none_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_4d_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_arguments_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_noncontiguous_gpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_quantized_scalar_input_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_dim_cpu 2025-07-17T07:29:29.4261897Z 2025-07-17T07:29:29.4262130Z Running test_multiprocessing_spawn 1/1 ... [2025-07-17 07:29:29.419343] 2025-07-17T07:29:29.4262582Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:29:29.4263658Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:29:29.419691] 2025-07-17T07:31:40.5186215Z 2025-07-17T07:31:40.5187539Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_d5328b756c9af7c4_.log 2025-07-17T07:31:40.5200659Z Running 31 items in this shard: test/test_multiprocessing_spawn.py::SpawnTest::test_exception_all, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_single, test/test_multiprocessing_spawn.py::SpawnTest::test_first_argument_index, test/test_multiprocessing_spawn.py::SpawnTest::test_signal_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_success, test/test_multiprocessing_spawn.py::SpawnTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::SpawnTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ForkTest::test_exception_all, test/test_multiprocessing_spawn.py::ForkTest::test_exception_single, test/test_multiprocessing_spawn.py::ForkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ForkTest::test_success, test/test_multiprocessing_spawn.py::ForkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ForkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_all, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_single, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerPerfTest::test_forkserver_perf, test/test_multiprocessing_spawn.py::ErrorTest::test_errors_pickleable 2025-07-17T07:31:40.5211734Z 2025-07-17T07:31:40.5211931Z Running nn/test_pooling 1/1 ... [2025-07-17 07:31:40.519246] 2025-07-17T07:31:40.5212422Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:31:40.5213457Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:31:40.519575] 2025-07-17T07:32:14.4964755Z 2025-07-17T07:32:14.4965715Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_9f43f5175eb4f2b5_.log 2025-07-17T07:32:14.5007983Z Running 106 items in this shard: test/nn/test_pooling.py::TestAvgPool::test_avg_pool1d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool2d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool3d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d_with_divisor, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d_with_divisor, test/nn/test_pooling.py::TestPoolingNN::test_MaxUnpool2d_output_size, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_nhwc_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_backward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_forward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_non_contiguous, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_lower_precision, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_none, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_overflow, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool2d_nhwc_cpu, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool3d_input_check, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool1d_empty_kernel, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool3d, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool2d_empty_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool3d_backward_after_cat_dim1_device_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_errors_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case10_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case4_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case5_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case6_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case7_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case8_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case9_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool2d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool3d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_max_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pool_odd_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool3d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_indices_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_with_indices_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool3d_non_square_backward_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool_indices_no_batch_dim_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_large_size_int64_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_size_one_feature_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_invalid_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_large_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_bfloat16_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_large_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_zero_stride_cpu 2025-07-17T07:32:14.5048116Z 2025-07-17T07:32:14.5048326Z Running test_mobile_optimizer 1/1 ... [2025-07-17 07:32:14.496648] 2025-07-17T07:32:14.5048753Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:32:14.5049813Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:32:14.497096] 2025-07-17T07:32:20.6204253Z 2025-07-17T07:32:20.6205180Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_26ec1b59d42730eb_.log 2025-07-17T07:32:20.6212308Z Running 7 items in this shard: test/test_mobile_optimizer.py::TestOptimizer::test_clone_module_with_class, test/test_mobile_optimizer.py::TestOptimizer::test_generate_mobile_module_lints, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_mobilenet_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_preserve_bundled_inputs_methods, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures 2025-07-17T07:32:20.6214935Z 2025-07-17T07:32:20.6225615Z Running nn/test_convolution 1/1 ... [2025-07-17 07:32:20.622393] 2025-07-17T07:32:20.6226178Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:32:20.6229781Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:32:20.622763] 2025-07-17T07:32:46.0263107Z 2025-07-17T07:32:46.0264504Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_56b16ee66ff55df2_.log 2025-07-17T07:32:46.0629467Z Running 599 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv1d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_1x1, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_backward_twice, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias_v2, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_with_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_without_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_missing_argument, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_wbias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_half_cublas_gemm, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size_downsample_upsample, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose3d_correct_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv1d_issue_120547, test/nn/test_convolution.py::TestConvolutionNN::test_conv2d_discontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_issue_120406, test/nn/test_convolution.py::TestConvolutionNN::test_conv_backcompat, test/nn/test_convolution.py::TestConvolutionNN::test_conv_cudnn_memory_layout_dominance, test/nn/test_convolution.py::TestConvolutionNN::test_conv_invalid_groups, test/nn/test_convolution.py::TestConvolutionNN::test_conv_modules_raise_error_on_incorrect_input_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv_padding_mode, test/nn/test_convolution.py::TestConvolutionNN::test_conv_shapecheck, test/nn/test_convolution.py::TestConvolutionNN::test_conv_tbc, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_non_contiguous, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_noncontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_not_mutate_stride, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grouped_conv_cudnn_nhwc_support, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv1d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv3d, test/nn/test_convolution.py::TestConvolutionNN::test_mismatch_shape_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_nnpack_conv, test/nn/test_convolution.py::TestConvolutionNN::test_permute_conv2d_issue_120211, test/nn/test_convolution.py::TestConvolutionNN::test_thnn_conv_strided_padded_dilated, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_large_output_padding_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_large_output_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose2d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_ConvTranspose3d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_contig_wrong_stride_cudnn_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_same_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_valid_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_same_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_same_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_valid_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv1d_vs_scipy_mode_valid_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_no_grad_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_same_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_backward_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_backward_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_valid_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_same_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_same_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_valid_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv2d_vs_scipy_mode_valid_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_64bit_indexing_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_large_batch_1_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_backward_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_same_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_backward_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_valid_padding_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_same_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_same_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_valid_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv3d_vs_scipy_mode_valid_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convTranspose_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_True_cpu, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_True_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_False_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_False_contiguous_True_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_True_contiguous_False_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_True_contiguous_True_cpu, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_cudnn_nhwc_support_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_groups_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_no_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_stride_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_double_backward_strided_with_3D_input_and_weight_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_empty_channel_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_ic1_channels_last_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_batch_1_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_nosplit_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_and_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transposed_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv2d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv3d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_depthwise_conv_64bit_indexing_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_convTranspose_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_conv_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float64 2025-07-17T07:32:46.0971582Z 2025-07-17T07:32:46.0971851Z Running test_autoload_disable 1/1 ... [2025-07-17 07:32:46.029114] 2025-07-17T07:32:48.4080929Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:32:48.4082475Z import pkg_resources 2025-07-17T07:32:48.4774064Z running install 2025-07-17T07:32:48.4776778Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-07-17T07:32:48.4778155Z !! 2025-07-17T07:32:48.4778274Z 2025-07-17T07:32:48.4778397Z ******************************************************************************** 2025-07-17T07:32:48.4779104Z Please avoid running ``setup.py`` directly. 2025-07-17T07:32:48.4779945Z Instead, use pypa/build, pypa/installer or other 2025-07-17T07:32:48.4780317Z standards-based tools. 2025-07-17T07:32:48.4780519Z 2025-07-17T07:32:48.4780747Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-07-17T07:32:48.4781237Z or your builds will no longer be supported. 2025-07-17T07:32:48.4781481Z 2025-07-17T07:32:48.4781796Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-07-17T07:32:48.4782325Z ******************************************************************************** 2025-07-17T07:32:48.4782587Z 2025-07-17T07:32:48.4782669Z !! 2025-07-17T07:32:48.4782888Z self.initialize_options() 2025-07-17T07:32:48.4918042Z running build 2025-07-17T07:32:48.4918497Z running build_py 2025-07-17T07:32:48.5015458Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-07-17T07:32:48.5024529Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-07-17T07:32:48.5033746Z running build_ext 2025-07-17T07:32:48.5049357Z building 'torch_test_cpp_extension.cpp' extension 2025-07-17T07:32:48.5051397Z creating build/temp.linux-x86_64-cpython-313 2025-07-17T07:32:48.5056268Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c extension.cpp -o build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-07-17T07:32:49.6590299Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-07-17T07:32:49.6591349Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-07-17T07:32:49.6592222Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:9, 2025-07-17T07:32:49.6592759Z from extension.cpp:1: 2025-07-17T07:32:49.6605586Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-07-17T07:32:49.6606477Z extension.cpp:45:53: required from here 2025-07-17T07:32:49.6607998Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-07-17T07:32:49.6609245Z 1539 | class class_ : public detail::generic_type { 2025-07-17T07:32:49.6609595Z | ^~~~~~ 2025-07-17T07:32:49.6611199Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-07-17T07:32:49.6612593Z extension.cpp:45:53: required from here 2025-07-17T07:32:49.6614898Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1599:28: warning: ‘pybind11::class_::class_<>(pybind11::handle, const char*)::’ declared with greater visibility than the type of its field ‘pybind11::class_::class_<>(pybind11::handle, const char*)::::’ [-Wattributes] 2025-07-17T07:32:49.6617048Z 1599 | with_internals([&](internals &internals) { 2025-07-17T07:32:49.6617439Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:49.6617959Z 1600 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-07-17T07:32:49.6618538Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:49.6618972Z 1601 | : internals.registered_types_cpp; 2025-07-17T07:32:49.6619462Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:49.6619885Z 1602 | instances[std::type_index(typeid(type_alias))] 2025-07-17T07:32:49.6620277Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:49.6620678Z 1603 | = instances[std::type_index(typeid(type))]; 2025-07-17T07:32:49.6621076Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:49.6621406Z 1604 | }); 2025-07-17T07:32:49.6621646Z | ~ 2025-07-17T07:32:49.6624927Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so 2025-07-17T07:32:50.2492603Z building 'torch_test_cpp_extension.maia' extension 2025-07-17T07:32:50.2497632Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-07-17T07:32:51.5707842Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so 2025-07-17T07:32:52.1536718Z building 'torch_test_cpp_extension.rng' extension 2025-07-17T07:32:52.1541548Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-07-17T07:32:53.4369686Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-07-17T07:32:53.4371143Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-07-17T07:32:53.4372491Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-07-17T07:32:53.4374038Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-07-17T07:32:53.4375090Z from rng_extension.cpp:6: 2025-07-17T07:32:53.4376924Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1458: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-07-17T07:32:53.4378311Z 1458 | #pragma unroll 2025-07-17T07:32:53.4378709Z | 2025-07-17T07:32:53.4379655Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-07-17T07:32:53.4381148Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1510, 2025-07-17T07:32:53.4382903Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-07-17T07:32:53.4384357Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-07-17T07:32:53.4385650Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-07-17T07:32:53.4387381Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-07-17T07:32:53.4388500Z from rng_extension.cpp:6: 2025-07-17T07:32:53.4390244Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-07-17T07:32:53.4391721Z 59 | #pragma unroll 2025-07-17T07:32:53.4392049Z | 2025-07-17T07:32:53.4393332Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-07-17T07:32:53.4394602Z 72 | #pragma unroll 2025-07-17T07:32:53.4394991Z | 2025-07-17T07:32:53.4396321Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-07-17T07:32:53.4397613Z 87 | #pragma unroll 2025-07-17T07:32:53.4398002Z | 2025-07-17T07:32:53.4398859Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1511, 2025-07-17T07:32:53.4399806Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-07-17T07:32:53.4400836Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-07-17T07:32:53.4401887Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-07-17T07:32:53.4402792Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-07-17T07:32:53.4403576Z from rng_extension.cpp:6: 2025-07-17T07:32:53.4404579Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-07-17T07:32:53.4405459Z 160 | #pragma unroll 2025-07-17T07:32:53.4405702Z | 2025-07-17T07:32:53.4406214Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.4407057Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.4407865Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.4408646Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.4409379Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.4410403Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.4411448Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.4412334Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.4413210Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.4414126Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.4415372Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.4416214Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4416760Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4417829Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.4419521Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.4421277Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.4423044Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.4424934Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.4426976Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.4433250Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.4443892Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.4449931Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.4450871Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.4451254Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.4457607Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.4464237Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.4465566Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.4465998Z | ^~~~~~~~ 2025-07-17T07:32:53.4466622Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.4467619Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.4468506Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.4469309Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.4470250Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.4471090Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.4472147Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.4473274Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.4474422Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.4475606Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.4476611Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.4477540Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.4478381Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4478969Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4479812Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.4480532Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.4480875Z | ^~~~ 2025-07-17T07:32:53.4481446Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.4482284Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.4483099Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.4483902Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.4484635Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.4485471Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.4486389Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.4487284Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.4488158Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.4489165Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.4490170Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.4491017Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4491557Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4492557Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.4494121Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.4495841Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.4497619Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.4499572Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.4501604Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.4507819Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.4518237Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.4524161Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.4525094Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.4525458Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.4531665Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.4538220Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.4539576Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.4539989Z | ^~~~~~~~ 2025-07-17T07:32:53.4540609Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.4541589Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.4542472Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.4543284Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.4544041Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.4544867Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.4545919Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.4547055Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.4548195Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.4549341Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.4550377Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.4551311Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.4552149Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4552681Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4553513Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.4554282Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.4554625Z | ^~~~ 2025-07-17T07:32:53.4555190Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.4556047Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.4556869Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.4557655Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.4558388Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.4559223Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.4560189Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.4561073Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.4561941Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.4562905Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.4563863Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.4564704Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4565238Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4566217Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.4567774Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.4569719Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.4571513Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.4573381Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.4575406Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.4582025Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.4591844Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.4597509Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.4598432Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.4598811Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.4604654Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.4612495Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.4613783Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.4614196Z | ^~~~~~~~ 2025-07-17T07:32:53.4614879Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.4616415Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.4617310Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.4618121Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.4618870Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.4619799Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.4620891Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.4622186Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.4623495Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.4624618Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.4625623Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.4626596Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.4627422Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4627974Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4628877Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.4629619Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.4629962Z | ^~~~ 2025-07-17T07:32:53.4630538Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.4631396Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.4632213Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.4632987Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.4633726Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.4634559Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.4635480Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.4636389Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.4637279Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.4638248Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.4639208Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.4640031Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4640586Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4641599Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.4643169Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.4644870Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.4646627Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.4648499Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.4650566Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.4656423Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.4666373Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.4672278Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.4673216Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.4673595Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.4679468Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.4685813Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.4687091Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.4687495Z | ^~~~~~~~ 2025-07-17T07:32:53.4688116Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.4689113Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.4690006Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.4690807Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.4691569Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.4692404Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.4693458Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.4694571Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.4695706Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.4696871Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.4697914Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.4698842Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.4699752Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4700306Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4701139Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.4701861Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.4702207Z | ^~~~ 2025-07-17T07:32:53.4702779Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.4703628Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.4704446Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.4705233Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.4705973Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.4706860Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.4707771Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.4708664Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.4709547Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.4710502Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.4711455Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.4712289Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4712837Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4713805Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.4715356Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.4717068Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.4718829Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.4720704Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.4722750Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.4728578Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.4738382Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.4744162Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.4745087Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.4745457Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.4751305Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.4757578Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.4758841Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.4759255Z | ^~~~~~~~ 2025-07-17T07:32:53.4759879Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.4760862Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.4761748Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.4762563Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.4763323Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.4764147Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.4765195Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.4766364Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.4767509Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.4768621Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.4769932Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.4770877Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.4771733Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4772292Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4773120Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.4773867Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.4774217Z | ^~~~ 2025-07-17T07:32:53.4774777Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.4775633Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.4776443Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.4777225Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.4777947Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.4778782Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.4779828Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.4780713Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.4781637Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.4782566Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.4783516Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.4784356Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4784892Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4785891Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.4787451Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.4789162Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.4790918Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.4792850Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.4794860Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.4801069Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.4811488Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.4817417Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.4818330Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.4818709Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.4825080Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.4831580Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.4832862Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.4833280Z | ^~~~~~~~ 2025-07-17T07:32:53.4833901Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.4834883Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.4835768Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.4836574Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.4837325Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.4838144Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.4839197Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.4840366Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.4841535Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.4842635Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.4843634Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.4844565Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.4845403Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4845941Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4846763Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.4847498Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.4847848Z | ^~~~ 2025-07-17T07:32:53.4848406Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.4849252Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.4850059Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.4850878Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.4851601Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.4852436Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.4853347Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.4854255Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.4855122Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.4856051Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.4856999Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.4857835Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4858373Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4859446Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.4861011Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.4862846Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.4864613Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.4866528Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.4868580Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.4874920Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.4885394Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.4891306Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.4892220Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.4892600Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.4898847Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.4905577Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.4906865Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.4907277Z | ^~~~~~~~ 2025-07-17T07:32:53.4907905Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.4908882Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.4909757Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.4910565Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.4911367Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.4912191Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.4913240Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.4914408Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.4915552Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.4916653Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.4917655Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.4918599Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.4919442Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4919986Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4920822Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.4921558Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.4921891Z | ^~~~ 2025-07-17T07:32:53.4922466Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.4923327Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.4924135Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.4924963Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.4925707Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.4926574Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.4927493Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.4928372Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.4929261Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.4930196Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.4931157Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.4931983Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4932536Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4933511Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.4935064Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.4936801Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.4938549Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.4940571Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.4942588Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.4948381Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.4958218Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.4963814Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.4964743Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.4965121Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.4971251Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.4977513Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.4978800Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.4979283Z | ^~~~~~~~ 2025-07-17T07:32:53.4979898Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.4980888Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.4981771Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.4982575Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.4983332Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.4984227Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.4985405Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.4986530Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.4987670Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.4988778Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.4989784Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.4990729Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.4991555Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.4992106Z from rng_extension.cpp:1: 2025-07-17T07:32:53.4992943Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.4993663Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.4994006Z | ^~~~ 2025-07-17T07:32:53.4994578Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.4995469Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.4996261Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.4997055Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.4997793Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.4998668Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.4999568Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.5000444Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.5001321Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.5002249Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.5003191Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.5004030Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5004573Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5005554Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.5007097Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.5008807Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.5010652Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.5012530Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.5014537Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.5020402Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.5030290Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.5035902Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.5036830Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.5037211Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.5043127Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.5049350Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.5050615Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.5051030Z | ^~~~~~~~ 2025-07-17T07:32:53.5051652Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.5052645Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.5053513Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.5054357Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.5055109Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.5055965Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.5057031Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.5058171Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.5059385Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.5060504Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.5061500Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.5062444Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.5063288Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5063843Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5064657Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.5065397Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.5065742Z | ^~~~ 2025-07-17T07:32:53.5066315Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.5067157Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.5068005Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.5068788Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.5069870Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.5070844Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.5071772Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.5072655Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.5073541Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.5074460Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.5075412Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.5076248Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5076792Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5077791Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.5079344Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.5081126Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.5082898Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.5084831Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.5086852Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.5092653Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.5102668Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.5108335Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.5109277Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.5109653Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.5115715Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.5122023Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.5123320Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.5123753Z | ^~~~~~~~ 2025-07-17T07:32:53.5124396Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.5125394Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.5126293Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.5127130Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.5127952Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.5128778Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.5129878Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.5131036Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.5132189Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.5133296Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.5134308Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.5135255Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.5136114Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5136669Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5137514Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.5138263Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.5138628Z | ^~~~ 2025-07-17T07:32:53.5139273Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.5140209Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.5141040Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.5141824Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.5142619Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.5143472Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.5144407Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.5145291Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.5146197Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.5147147Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.5148110Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.5148954Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5149488Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5150478Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.5152031Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.5153808Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.5155600Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.5157456Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.5159468Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.5165281Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.5175516Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.5181270Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.5182190Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.5182566Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.5188465Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.5194716Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.5196015Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.5196451Z | ^~~~~~~~ 2025-07-17T07:32:53.5197060Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.5198060Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.5198952Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.5199811Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.5200566Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.5201410Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.5202498Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.5203640Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.5204771Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.5205893Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.5206911Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.5207864Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.5208710Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5209284Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5210137Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.5210894Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.5211232Z | ^~~~ 2025-07-17T07:32:53.5211813Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.5212662Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.5213494Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.5214313Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.5215054Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.5215894Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.5216804Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.5217714Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.5218603Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.5219638Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.5220592Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.5221447Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5222014Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5223015Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.5224620Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.5226342Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.5228153Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.5230029Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.5232048Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.5237881Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.5247736Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.5253348Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.5254265Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.5254640Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.5260661Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.5266853Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.5268135Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.5268533Z | ^~~~~~~~ 2025-07-17T07:32:53.5269157Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.5270405Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.5271282Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.5272101Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.5272958Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.5273793Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.5274884Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.5276027Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.5277163Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.5278272Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.5279275Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.5280196Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.5281030Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5281577Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5282401Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.5283134Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.5283532Z | ^~~~ 2025-07-17T07:32:53.5284103Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.5284942Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.5285753Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.5286545Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.5287339Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.5288170Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.5289090Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.5289975Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.5290864Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.5291781Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.5292744Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.5293588Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5294134Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5295105Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.5296659Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.5298403Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.5300313Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.5302200Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.5304223Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.5310362Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.5320805Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.5326677Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.5327604Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.5327970Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.5334215Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.5340932Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.5342199Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.5342620Z | ^~~~~~~~ 2025-07-17T07:32:53.5343245Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.5344287Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.5345165Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.5345975Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.5346773Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.5347609Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.5348650Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.5349792Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.5350941Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.5352060Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.5353058Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.5353996Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.5354835Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5355388Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5356201Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.5356943Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.5357361Z | ^~~~ 2025-07-17T07:32:53.5357937Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.5358806Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.5359618Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.5360403Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.5361138Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.5361953Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.5362863Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.5363877Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.5364763Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.5365686Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.5366635Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.5367470Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5368071Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5369056Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.5370852Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.5372646Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.5374408Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.5376280Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.5378301Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.5384649Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.5395248Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.5401260Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.5402180Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.5402542Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.5408910Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.5415478Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.5416752Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.5417204Z | ^~~~~~~~ 2025-07-17T07:32:53.5417826Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.5418847Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.5419796Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.5420606Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.5421360Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.5422202Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.5423243Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.5424383Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.5425524Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.5426631Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.5427618Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.5428584Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.5429421Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5429973Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5430785Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.5431522Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.5431895Z | ^~~~ 2025-07-17T07:32:53.5432449Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.5433299Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.5434106Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.5434890Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.5435621Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.5436451Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.5437366Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.5438253Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.5439119Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.5440046Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.5440999Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.5441867Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5442403Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5443412Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.5444974Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.5446686Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.5448455Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.5450336Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.5452351Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.5473351Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.5484173Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.5490511Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.5491447Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.5491818Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.5498128Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.5504815Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.5506105Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.5506577Z | ^~~~~~~~ 2025-07-17T07:32:53.5507203Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.5508186Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.5509066Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.5509885Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.5510645Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.5511469Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.5512529Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.5513668Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.5514811Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.5515918Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.5516963Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.5517901Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.5518770Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5519310Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5520132Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.5520865Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.5521209Z | ^~~~ 2025-07-17T07:32:53.5521769Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.5522614Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.5523425Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.5524210Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.5524942Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.5525778Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.5526697Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.5527624Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.5528496Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.5529432Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.5530390Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.5531285Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5531827Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5532816Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.5534382Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.5536098Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.5537860Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.5539839Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.5541870Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.5548217Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.5558795Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.5564802Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.5565718Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.5566101Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.5572747Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.5579461Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.5580740Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.5581161Z | ^~~~~~~~ 2025-07-17T07:32:53.5581786Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.5582762Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.5583648Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.5584462Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.5585225Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.5586051Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.5587102Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.5588298Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.5589443Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.5590541Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.5591664Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.5592600Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.5593432Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5593967Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5594805Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.5595541Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.5595886Z | ^~~~ 2025-07-17T07:32:53.5596445Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.5597299Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.5598108Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.5598889Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.5599613Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.5600450Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.5601408Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.5602299Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.5603201Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.5604133Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.5605094Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.5605932Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5606473Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5607456Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.5609019Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.5610729Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.5612476Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.5614510Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.5616559Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.5622908Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.5633557Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.5639566Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.5640483Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.5640872Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.5647266Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.5653848Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.5655137Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.5655558Z | ^~~~~~~~ 2025-07-17T07:32:53.5656164Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.5657165Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.5658049Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.5658860Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.5659675Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.5660510Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.5661613Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.5662771Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.5663901Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.5665010Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.5666008Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.5666945Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.5667782Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5668315Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5669142Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.5670100Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.5670436Z | ^~~~ 2025-07-17T07:32:53.5671006Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.5671856Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.5672752Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.5673524Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.5674265Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.5675098Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.5676050Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.5676919Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.5677795Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.5678719Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.5679667Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.5680487Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5681030Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5682034Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.5683588Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.5685293Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.5687041Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.5689004Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.5691022Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.5697263Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.5707986Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.5713977Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.5714897Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.5715276Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.5721610Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.5728196Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.5729473Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.5729887Z | ^~~~~~~~ 2025-07-17T07:32:53.5730491Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.5731486Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.5732410Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.5733218Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.5733963Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.5734793Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.5735869Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.5737007Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.5738132Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.5739314Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.5740325Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.5741268Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.5742094Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5742648Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5743472Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.5744203Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.5744536Z | ^~~~ 2025-07-17T07:32:53.5745102Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.5745996Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.5746800Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.5747625Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.5748361Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.5749190Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.5750100Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.5750975Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.5751850Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.5752778Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.5753725Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.5754574Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5755110Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5756091Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.5757686Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.5759396Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.5761197Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.5763078Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.5765091Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.5771608Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.5782437Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.5788437Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.5789412Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.5789779Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.5796179Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.5802748Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.5804018Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.5804438Z | ^~~~~~~~ 2025-07-17T07:32:53.5805059Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.5806082Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.5806954Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.5807792Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.5808547Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.5809359Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.5810410Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.5811577Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.5812714Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.5813858Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.5814846Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.5815779Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.5816616Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5817154Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5817981Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.5818832Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.5819257Z | ^~~~ 2025-07-17T07:32:53.5819823Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.5820677Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.5821481Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.5822260Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.5822990Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.5823818Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.5824819Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.5825729Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.5826606Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.5827539Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.5828495Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.5829379Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5830053Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5831081Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.5832648Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.5834356Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.5836116Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.5838041Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.5840087Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.5846327Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.5856942Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.5863018Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.5863939Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.5864308Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.5871038Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.5877930Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.5879211Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.5879625Z | ^~~~~~~~ 2025-07-17T07:32:53.5880244Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.5881221Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.5882103Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.5882909Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.5883674Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.5884491Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.5885606Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.5886788Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.5887929Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.5889027Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.5890025Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.5890963Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.5891808Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5892341Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5893170Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.5893910Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.5894253Z | ^~~~ 2025-07-17T07:32:53.5894810Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.5895658Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.5896506Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.5897300Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.5898023Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.5898889Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.5899904Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.5900798Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.5901808Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.5902748Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.5903712Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.5904553Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5905095Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5906102Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.5907668Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.5909394Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.5911211Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.5913121Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.5915149Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.5921408Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.5932093Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.5938100Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.5939016Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.5939481Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.5945845Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.5952410Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.5953689Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.5954097Z | ^~~~~~~~ 2025-07-17T07:32:53.5954715Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.5955691Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.5956612Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.5957419Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.5958173Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.5959057Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.5960106Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.5961238Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.5962384Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.5963492Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.5964493Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.5965435Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.5966269Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5966803Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5967622Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.5968358Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.5968703Z | ^~~~ 2025-07-17T07:32:53.5969255Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.5970468Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.5971281Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.5972150Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.5972881Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.5973713Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.5974637Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.5975525Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.5976400Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.5977331Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.5978287Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.5979120Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.5979734Z from rng_extension.cpp:1: 2025-07-17T07:32:53.5980752Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.5982372Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.5984092Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.5985910Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.5987772Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.5989789Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.5995609Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.6005448Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.6011083Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.6012002Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.6012414Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.6018472Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.6024767Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.6026042Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.6026459Z | ^~~~~~~~ 2025-07-17T07:32:53.6027065Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.6028057Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.6028943Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.6029794Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.6030540Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.6031403Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.6032458Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.6033591Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.6034720Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.6035837Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.6036839Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.6037785Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.6038607Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.6039156Z from rng_extension.cpp:1: 2025-07-17T07:32:53.6039978Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.6040814Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.6041145Z | ^~~~ 2025-07-17T07:32:53.6041718Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.6042572Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.6042918Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.6043295Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.6043596Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.6044006Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.6044402Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.6044907Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.6045436Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.6046054Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.6046532Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.6046917Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.6047033Z from rng_extension.cpp:1: 2025-07-17T07:32:53.6047854Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.6048718Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.6049749Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.6050683Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.6051736Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.6052815Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.6058183Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.6064318Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.6065158Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.6065346Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.6065476Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.6071878Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.6073157Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.6073423Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.6073509Z | ^~~~~~~~ 2025-07-17T07:32:53.6073972Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.6074403Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.6074751Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.6075143Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.6075432Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.6075845Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.6076371Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.6076872Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.6077402Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.6077875Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.6078304Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.6078704Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.6079018Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.6079145Z from rng_extension.cpp:1: 2025-07-17T07:32:53.6079791Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.6079923Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.6080021Z | ^~~~ 2025-07-17T07:32:53.6080442Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.6080798Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.6081136Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.6081448Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.6081761Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.6082170Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.6082559Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.6082938Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.6083314Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.6083752Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.6084150Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.6084500Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.6084613Z from rng_extension.cpp:1: 2025-07-17T07:32:53.6085364Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.6086262Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.6087192Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.6088109Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.6089156Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.6090247Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.6095533Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.6101549Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.6102424Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.6102611Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.6102739Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.6108818Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.6110089Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.6110345Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.6110431Z | ^~~~~~~~ 2025-07-17T07:32:53.6110937Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.6111360Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.6111705Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.6112056Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.6112350Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.6112767Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.6113295Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.6113793Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.6114327Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.6114794Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.6115237Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.6115675Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.6116075Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.6116200Z from rng_extension.cpp:1: 2025-07-17T07:32:53.6116848Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.6116990Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.6117092Z | ^~~~ 2025-07-17T07:32:53.6117478Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.6117820Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.6118171Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.6118491Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.6118800Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.6119214Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.6119592Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.6119982Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.6120360Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.6120797Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.6121226Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.6121560Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.6121688Z from rng_extension.cpp:1: 2025-07-17T07:32:53.6122451Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.6123318Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.6124242Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.6125167Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.6126216Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.6127297Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.6132629Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.6138591Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.6139548Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.6139703Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.6139829Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.6145930Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.6147278Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.6147481Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.6147578Z | ^~~~~~~~ 2025-07-17T07:32:53.6148038Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.6148463Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.6148811Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.6149148Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.6149450Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.6149865Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.6150390Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.6150886Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.6151407Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.6151916Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.6152348Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.6152762Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.6153072Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.6153186Z from rng_extension.cpp:1: 2025-07-17T07:32:53.6153789Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.6153925Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.6154030Z | ^~~~ 2025-07-17T07:32:53.6154414Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.6154757Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.6155114Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.6155426Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.6155721Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.6156136Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.6156542Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.6156934Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.6157311Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.6157765Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.6158175Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.6158483Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.6158605Z from rng_extension.cpp:1: 2025-07-17T07:32:53.6159358Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.6160224Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.6161151Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.6162066Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.6163100Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.6164192Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.6169079Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.6174954Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.6175799Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.6175971Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.6176087Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.6181803Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.6183188Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.6183392Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.6183478Z | ^~~~~~~~ 2025-07-17T07:32:53.6183953Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.6184363Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.6184724Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.6185063Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.6185358Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.6185786Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.6186303Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.6186811Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.6187362Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.6187828Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.6188277Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.6188678Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.6189002Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.6189114Z from rng_extension.cpp:1: 2025-07-17T07:32:53.6189710Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.6189860Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.6189953Z | ^~~~ 2025-07-17T07:32:53.6190350Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:32:53.6190692Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:32:53.6191037Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:32:53.6191366Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:32:53.6191662Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:32:53.6192085Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:32:53.6192464Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:32:53.6192879Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:32:53.6193270Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:32:53.6193726Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:32:53.6194143Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:32:53.6194454Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.6194569Z from rng_extension.cpp:1: 2025-07-17T07:32:53.6195339Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:32:53.6196203Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:32:53.6197147Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:32:53.6198056Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:32:53.6199104Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:32:53.6200219Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:32:53.6205519Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:32:53.6211518Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:32:53.6212357Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:32:53.6212531Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:32:53.6212646Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:32:53.6218762Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:32:53.6220132Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:32:53.6220353Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:32:53.6220444Z | ^~~~~~~~ 2025-07-17T07:32:53.6220918Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:32:53.6221331Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:32:53.6221680Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:32:53.6222032Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:32:53.6222322Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:32:53.6222756Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:32:53.6223270Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:32:53.6223810Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:32:53.6224367Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:32:53.6224828Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:32:53.6225245Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:32:53.6225641Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:32:53.6225952Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:32:53.6226080Z from rng_extension.cpp:1: 2025-07-17T07:32:53.6226678Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:32:53.6226824Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:32:53.6226918Z | ^~~~ 2025-07-17T07:32:53.6230030Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so 2025-07-17T07:32:54.0829179Z running install_lib 2025-07-17T07:32:54.0916739Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages 2025-07-17T07:32:54.0920783Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-07-17T07:32:54.0922368Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/__init__.py -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-07-17T07:32:54.0924583Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-07-17T07:32:54.0999578Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-07-17T07:32:54.1073160Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-07-17T07:32:54.1152898Z byte-compiling ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-313.pyc 2025-07-17T07:32:54.1155360Z running install_egg_info 2025-07-17T07:32:54.1352137Z running egg_info 2025-07-17T07:32:54.1429101Z creating torch_test_cpp_extension.egg-info 2025-07-17T07:32:54.1430563Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-07-17T07:32:54.1433596Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-07-17T07:32:54.1435855Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-07-17T07:32:54.1438067Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-07-17T07:32:54.1439606Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-07-17T07:32:54.1524268Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-07-17T07:32:54.1531586Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-07-17T07:32:54.1533306Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info 2025-07-17T07:32:54.1539356Z running install_scripts 2025-07-17T07:32:57.2562863Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:32:57.2564531Z import pkg_resources 2025-07-17T07:32:57.2885697Z 2025-07-17T07:32:57.2886325Z Running tests... 2025-07-17T07:32:57.2886682Z ---------------------------------------------------------------------- 2025-07-17T07:32:57.3061433Z . 2025-07-17T07:32:57.3061767Z ---------------------------------------------------------------------- 2025-07-17T07:32:57.3062177Z Ran 1 test in 0.018s 2025-07-17T07:32:57.3062336Z 2025-07-17T07:32:57.3062448Z OK 2025-07-17T07:32:57.3062559Z 2025-07-17T07:32:57.3062686Z Generating XML reports... 2025-07-17T07:32:58.0255245Z Running test_autoload_enable 1/1 ... [2025-07-17 07:32:58.025178] 2025-07-17T07:33:00.3919856Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:33:00.3921811Z import pkg_resources 2025-07-17T07:33:00.4634643Z running install 2025-07-17T07:33:00.4636880Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-07-17T07:33:00.4637726Z !! 2025-07-17T07:33:00.4637838Z 2025-07-17T07:33:00.4637964Z ******************************************************************************** 2025-07-17T07:33:00.4638418Z Please avoid running ``setup.py`` directly. 2025-07-17T07:33:00.4639042Z Instead, use pypa/build, pypa/installer or other 2025-07-17T07:33:00.4639458Z standards-based tools. 2025-07-17T07:33:00.4639660Z 2025-07-17T07:33:00.4639935Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-07-17T07:33:00.4640429Z or your builds will no longer be supported. 2025-07-17T07:33:00.4640733Z 2025-07-17T07:33:00.4776399Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-07-17T07:33:00.4776926Z ******************************************************************************** 2025-07-17T07:33:00.4777191Z 2025-07-17T07:33:00.4777270Z !! 2025-07-17T07:33:00.4777493Z self.initialize_options() 2025-07-17T07:33:00.4777768Z running build 2025-07-17T07:33:00.4777980Z running build_py 2025-07-17T07:33:00.4866267Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-07-17T07:33:00.4868353Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-07-17T07:33:00.4874043Z running build_ext 2025-07-17T07:33:00.4889874Z building 'torch_test_cpp_extension.cpp' extension 2025-07-17T07:33:00.4891983Z creating build/temp.linux-x86_64-cpython-313 2025-07-17T07:33:00.4897581Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c extension.cpp -o build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-07-17T07:33:01.6173294Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-07-17T07:33:01.6174981Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-07-17T07:33:01.6176433Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:9, 2025-07-17T07:33:01.6177335Z from extension.cpp:1: 2025-07-17T07:33:01.6179058Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-07-17T07:33:01.6180019Z extension.cpp:45:53: required from here 2025-07-17T07:33:01.6181506Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-07-17T07:33:01.6184721Z 1539 | class class_ : public detail::generic_type { 2025-07-17T07:33:01.6185070Z | ^~~~~~ 2025-07-17T07:33:01.6186735Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-07-17T07:33:01.6188275Z extension.cpp:45:53: required from here 2025-07-17T07:33:01.6190623Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1599:28: warning: ‘pybind11::class_::class_<>(pybind11::handle, const char*)::’ declared with greater visibility than the type of its field ‘pybind11::class_::class_<>(pybind11::handle, const char*)::::’ [-Wattributes] 2025-07-17T07:33:01.6192642Z 1599 | with_internals([&](internals &internals) { 2025-07-17T07:33:01.6193008Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:01.6193527Z 1600 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-07-17T07:33:01.6194098Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:01.6194555Z 1601 | : internals.registered_types_cpp; 2025-07-17T07:33:01.6194954Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:01.6195378Z 1602 | instances[std::type_index(typeid(type_alias))] 2025-07-17T07:33:01.6195786Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:01.6196184Z 1603 | = instances[std::type_index(typeid(type))]; 2025-07-17T07:33:01.6196566Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:01.6196889Z 1604 | }); 2025-07-17T07:33:01.6197137Z | ~ 2025-07-17T07:33:01.6200433Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so 2025-07-17T07:33:02.2168747Z building 'torch_test_cpp_extension.maia' extension 2025-07-17T07:33:02.2173299Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-07-17T07:33:03.3426415Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so 2025-07-17T07:33:03.9229465Z building 'torch_test_cpp_extension.rng' extension 2025-07-17T07:33:03.9233817Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-07-17T07:33:05.1837766Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-07-17T07:33:05.1839375Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-07-17T07:33:05.1840771Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-07-17T07:33:05.1842297Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-07-17T07:33:05.1843518Z from rng_extension.cpp:6: 2025-07-17T07:33:05.1845403Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1458: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-07-17T07:33:05.1846751Z 1458 | #pragma unroll 2025-07-17T07:33:05.1847130Z | 2025-07-17T07:33:05.1847989Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-07-17T07:33:05.1849523Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1510, 2025-07-17T07:33:05.1851046Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-07-17T07:33:05.1852616Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-07-17T07:33:05.1853995Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-07-17T07:33:05.1855584Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-07-17T07:33:05.1856804Z from rng_extension.cpp:6: 2025-07-17T07:33:05.1858464Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-07-17T07:33:05.1859816Z 59 | #pragma unroll 2025-07-17T07:33:05.1860172Z | 2025-07-17T07:33:05.1861439Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-07-17T07:33:05.1862678Z 72 | #pragma unroll 2025-07-17T07:33:05.1863012Z | 2025-07-17T07:33:05.1864236Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-07-17T07:33:05.1865034Z 87 | #pragma unroll 2025-07-17T07:33:05.1865279Z | 2025-07-17T07:33:05.1865807Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1511, 2025-07-17T07:33:05.1866716Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-07-17T07:33:05.1867538Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-07-17T07:33:05.1868465Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-07-17T07:33:05.1869363Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-07-17T07:33:05.1870492Z from rng_extension.cpp:6: 2025-07-17T07:33:05.1871481Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-07-17T07:33:05.1872365Z 160 | #pragma unroll 2025-07-17T07:33:05.1872595Z | 2025-07-17T07:33:05.1873101Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.1874014Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.1874807Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.1875593Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.1876330Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.1877158Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.1878061Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.1878943Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.1879824Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.1880753Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.1881698Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.1882588Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.1883139Z from rng_extension.cpp:1: 2025-07-17T07:33:05.1884252Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.1885825Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.1887521Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.1889285Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.1891182Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.1893224Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.1899727Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.1910409Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.1916444Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.1917370Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.1917754Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.1924060Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.1930657Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.1931968Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.1932383Z | ^~~~~~~~ 2025-07-17T07:33:05.1932990Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.1933984Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.1934868Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.1935675Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.1936551Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.1937508Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.1938570Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.1939775Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.1940915Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.1942046Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.1943095Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.1944017Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.1944895Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.1945449Z from rng_extension.cpp:1: 2025-07-17T07:33:05.1946293Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.1947016Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.1947365Z | ^~~~ 2025-07-17T07:33:05.1947946Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.1948796Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.1949600Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.1950391Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.1951135Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.1951960Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.1952878Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.1953819Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.1954704Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.1955642Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.1956614Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.1957448Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.1957995Z from rng_extension.cpp:1: 2025-07-17T07:33:05.1958971Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.1960532Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.1962243Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.1964006Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.1965880Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.1967891Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.1974366Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.1984923Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.1990857Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.1991779Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.1992162Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.1998366Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.2004911Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.2006190Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.2006590Z | ^~~~~~~~ 2025-07-17T07:33:05.2007206Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.2008201Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.2009073Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.2009880Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.2010647Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.2011482Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.2012524Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.2013689Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.2014830Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.2015944Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.2016980Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.2017906Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.2018748Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2019381Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2020214Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.2020938Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.2021287Z | ^~~~ 2025-07-17T07:33:05.2021855Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.2022689Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.2023493Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.2024273Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.2025008Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.2025831Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.2026743Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.2027680Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.2028590Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.2029509Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.2030461Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.2031298Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2031847Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2032813Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.2034372Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.2036088Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.2037846Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.2039719Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.2041788Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.2047740Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.2057584Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.2063368Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.2064298Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.2064668Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.2071281Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.2090732Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.2092055Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.2092476Z | ^~~~~~~~ 2025-07-17T07:33:05.2093088Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.2094085Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.2094976Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.2095786Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.2096530Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.2097360Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.2098414Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.2099637Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.2100836Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.2101956Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.2103007Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.2103948Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.2104771Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2105318Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2106161Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.2106906Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.2107236Z | ^~~~ 2025-07-17T07:33:05.2107811Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.2108665Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.2109466Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.2110251Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.2110992Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.2111869Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.2112772Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.2113660Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.2114540Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.2115506Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.2116454Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.2117295Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2117845Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2118842Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.2120397Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.2122106Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.2123859Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.2125749Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.2127805Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.2133662Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.2143542Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.2149235Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.2150168Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.2150552Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.2156462Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.2162704Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.2163985Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.2164388Z | ^~~~~~~~ 2025-07-17T07:33:05.2165015Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.2166010Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.2166895Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.2167699Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.2168457Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.2169290Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.2170540Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.2171771Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.2172918Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.2174032Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.2175071Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.2175994Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.2176835Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2177392Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2178229Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.2178960Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.2179403Z | ^~~~ 2025-07-17T07:33:05.2179976Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.2180823Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.2181635Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.2182419Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.2183158Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.2183980Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.2184981Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.2185866Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.2186792Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.2187707Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.2188661Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.2189496Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2190045Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2191044Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.2192614Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.2194326Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.2196084Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.2197999Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.2200021Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.2205844Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.2215663Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.2221424Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.2222355Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.2222727Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.2228606Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.2234835Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.2236111Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.2236527Z | ^~~~~~~~ 2025-07-17T07:33:05.2237148Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.2238134Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.2239011Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.2239824Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.2240582Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.2241403Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.2242452Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.2243587Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.2244769Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.2245896Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.2246902Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.2247838Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.2248677Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2249216Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2250035Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.2250772Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.2251116Z | ^~~~ 2025-07-17T07:33:05.2251671Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.2252531Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.2253347Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.2254138Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.2254863Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.2255734Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.2256653Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.2257537Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.2258440Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.2259453Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.2260407Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.2261246Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2261784Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2262769Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.2264322Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.2266041Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.2267788Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.2269958Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.2272444Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.2278568Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.2289025Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.2294967Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.2295881Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.2296262Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.2302639Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.2309133Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.2310413Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.2310829Z | ^~~~~~~~ 2025-07-17T07:33:05.2311447Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.2312428Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.2313311Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.2314120Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.2314873Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.2315742Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.2316787Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.2317917Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.2319087Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.2320187Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.2321195Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.2322131Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.2322966Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2323524Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2324335Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.2325077Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.2325429Z | ^~~~ 2025-07-17T07:33:05.2326006Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.2326843Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.2327656Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.2328448Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.2329228Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.2330051Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.2330996Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.2331879Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.2332761Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.2333683Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.2334646Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.2335490Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2336039Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2337004Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.2338552Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.2340352Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.2342137Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.2344017Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.2346065Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.2352177Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.2362602Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.2368530Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.2369683Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.2370055Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.2376343Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.2382926Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.2384195Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.2384609Z | ^~~~~~~~ 2025-07-17T07:33:05.2385237Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.2386231Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.2387099Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.2387910Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.2388666Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.2389562Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.2390641Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.2391775Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.2392908Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.2394024Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.2395014Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.2395955Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.2396798Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2397356Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2398167Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.2398904Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.2399246Z | ^~~~ 2025-07-17T07:33:05.2399802Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.2400712Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.2401521Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.2402299Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.2403027Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.2403895Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.2404811Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.2405692Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.2406560Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.2407492Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.2408450Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.2409288Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2409820Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2410801Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.2412348Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.2414057Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.2415890Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.2417773Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.2419875Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.2425696Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.2435526Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.2441189Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.2442101Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.2442482Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.2448376Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.2454586Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.2455862Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.2456275Z | ^~~~~~~~ 2025-07-17T07:33:05.2456884Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.2457874Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.2458757Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.2459658Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.2460405Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.2461242Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.2462338Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.2463475Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.2464616Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.2465721Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.2466718Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.2467655Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.2468491Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2469033Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2470063Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.2470805Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.2471137Z | ^~~~ 2025-07-17T07:33:05.2471717Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.2472576Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.2473485Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.2474256Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.2475054Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.2475887Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.2476802Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.2477672Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.2478560Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.2479496Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.2480451Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.2481277Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2481827Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2482811Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.2484358Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.2486120Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.2487913Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.2489785Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.2491794Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.2497604Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.2507516Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.2513113Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.2514035Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.2514416Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.2520332Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.2526558Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.2527830Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.2528232Z | ^~~~~~~~ 2025-07-17T07:33:05.2528848Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.2529840Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.2530718Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.2531519Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.2532306Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.2533137Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.2534222Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.2535346Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.2536478Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.2537598Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.2538599Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.2539605Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.2540435Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2540988Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2541816Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.2542539Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.2542883Z | ^~~~ 2025-07-17T07:33:05.2543503Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.2544349Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.2545145Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.2545926Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.2546696Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.2547530Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.2548431Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.2549315Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.2550201Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.2551129Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.2552069Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.2552908Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2553459Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2554430Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.2555969Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.2557709Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.2559493Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.2561367Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.2563373Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.2569166Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.2579343Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.2584974Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.2585905Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.2586273Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.2592164Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.2598395Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.2599659Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.2600071Z | ^~~~~~~~ 2025-07-17T07:33:05.2600690Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.2601688Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.2602605Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.2603435Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.2604200Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.2605039Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.2606109Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.2607244Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.2608384Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.2609498Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.2610483Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.2611417Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.2612257Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2612805Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2613612Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.2614348Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.2614689Z | ^~~~ 2025-07-17T07:33:05.2615264Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.2616100Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.2616960Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.2617769Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.2618515Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.2619411Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.2620335Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.2621226Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.2622113Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.2623035Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.2623992Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.2624823Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2625365Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2626334Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.2627929Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.2629636Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.2631425Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.2633306Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.2635324Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.2641110Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.2650940Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.2656567Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.2657482Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.2657859Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.2663854Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.2670260Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.2671611Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.2672029Z | ^~~~~~~~ 2025-07-17T07:33:05.2672655Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.2673638Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.2674535Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.2675350Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.2676109Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.2676929Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.2677984Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.2679110Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.2680249Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.2681395Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.2682402Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.2683344Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.2684223Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2684761Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2685585Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.2686317Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.2686662Z | ^~~~ 2025-07-17T07:33:05.2687222Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.2688076Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.2688879Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.2689654Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.2690393Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.2691222Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.2692131Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.2693001Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.2693929Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.2694858Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.2695840Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.2696662Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2697204Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2698182Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.2699807Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.2701526Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.2703273Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.2705146Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.2707195Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.2713107Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.2722899Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.2728504Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.2729425Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.2729806Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.2735674Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.2741999Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.2743313Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.2743733Z | ^~~~~~~~ 2025-07-17T07:33:05.2744342Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.2745339Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.2746224Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.2747031Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.2747790Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.2748631Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.2749686Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.2750824Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.2751957Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.2753079Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.2754112Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.2755074Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.2755904Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2756460Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2757280Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.2758021Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.2758353Z | ^~~~ 2025-07-17T07:33:05.2758923Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.2759776Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.2760575Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.2761363Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.2762098Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.2762926Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.2763827Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.2764743Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.2765620Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.2766546Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.2767518Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.2768353Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2768900Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2770042Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.2771597Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.2773311Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.2775067Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.2776943Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.2778957Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.2785303Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.2795794Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.2801741Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.2802661Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.2803038Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.2809250Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.2815721Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.2816995Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.2817395Z | ^~~~~~~~ 2025-07-17T07:33:05.2818018Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.2819009Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.2819962Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.2820761Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.2821518Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.2822343Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.2823394Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.2824572Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.2825719Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.2826835Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.2827878Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.2828795Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.2829629Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2830176Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2830990Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.2831712Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.2832053Z | ^~~~ 2025-07-17T07:33:05.2832625Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.2833477Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.2834270Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.2835051Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.2835787Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.2836622Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.2837556Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.2838443Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.2839356Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.2840284Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.2841224Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.2842057Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2842605Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2843577Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.2845125Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.2846831Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.2848581Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.2850482Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.2852500Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.2858748Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.2869413Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.2875634Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.2876551Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.2876931Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.2883282Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.2890006Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.2891295Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.2891701Z | ^~~~~~~~ 2025-07-17T07:33:05.2892336Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.2893335Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.2894227Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.2895025Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.2895782Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.2896625Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.2897715Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.2898884Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.2900114Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.2901235Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.2902241Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.2903186Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.2904121Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2904676Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2905522Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.2906254Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.2906603Z | ^~~~ 2025-07-17T07:33:05.2907179Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.2908098Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.2908952Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.2909721Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.2910464Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.2911303Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.2912264Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.2913140Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.2914024Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.2914958Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.2915914Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.2916749Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2917299Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2918285Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.2919845Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.2921561Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.2923310Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.2925291Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.2927325Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.2933608Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.2944335Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.2950340Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.2951280Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.2951666Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.2958050Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.2964654Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.2965945Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.2966360Z | ^~~~~~~~ 2025-07-17T07:33:05.2966977Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.2967977Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.2968907Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.2969947Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.2970713Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.2971566Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.2972731Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.2973875Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.2975011Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.2976137Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.2977147Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.2978092Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.2978940Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2979545Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2980387Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.2981136Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.2981480Z | ^~~~ 2025-07-17T07:33:05.2982060Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.2982992Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.2983810Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.2984632Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.2985393Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.2986232Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.2987162Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.2988048Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.2988939Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.2989872Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.2990826Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.2991655Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.2992203Z from rng_extension.cpp:1: 2025-07-17T07:33:05.2993187Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.2994801Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.2996499Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.2998296Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.3000189Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.3002211Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.3008459Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.3019151Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.3025228Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.3026201Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.3026581Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.3032933Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.3039475Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.3040746Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.3041162Z | ^~~~~~~~ 2025-07-17T07:33:05.3041765Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.3042817Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.3043691Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.3044538Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.3045286Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.3046123Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.3047178Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.3048319Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.3049448Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.3050563Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.3051561Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.3052496Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.3053318Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3053899Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3054713Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.3055449Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.3055776Z | ^~~~ 2025-07-17T07:33:05.3056347Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.3057226Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.3058028Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.3058798Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.3059614Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.3060452Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.3061374Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.3062246Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.3063132Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.3064056Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.3065011Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.3065836Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3066382Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3067402Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.3068993Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.3070837Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.3072589Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.3074467Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.3076593Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.3082911Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.3093472Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.3099553Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.3100472Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.3100895Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.3107215Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.3113772Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.3115052Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.3115461Z | ^~~~~~~~ 2025-07-17T07:33:05.3116067Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.3117095Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.3117977Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.3118802Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.3119551Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.3120386Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.3121445Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.3122586Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.3123718Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.3124834Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.3125840Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.3126782Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.3127644Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3128196Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3129054Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.3129795Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.3130129Z | ^~~~ 2025-07-17T07:33:05.3130705Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.3131557Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.3132373Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.3133150Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.3133888Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.3134729Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.3135645Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.3136512Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.3137391Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.3138351Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.3139372Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.3140195Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3140744Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3141796Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.3143359Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.3145062Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.3146817Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.3148697Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.3150701Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.3156967Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.3167816Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.3174645Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.3175640Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.3176073Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.3182449Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.3189134Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.3190420Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.3190829Z | ^~~~~~~~ 2025-07-17T07:33:05.3191434Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.3192433Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.3193322Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.3194137Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.3194881Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.3195714Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.3196760Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.3197890Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.3199057Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.3200168Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.3201169Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.3202135Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.3202961Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3203511Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3204331Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.3205070Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.3205402Z | ^~~~ 2025-07-17T07:33:05.3205973Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.3206822Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.3207626Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.3208404Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.3209142Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.3209972Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.3210882Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.3211751Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.3212669Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.3213619Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.3214568Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.3215391Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3216073Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3217069Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.3218622Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.3220389Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.3222155Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.3224027Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.3226093Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.3232601Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.3243161Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.3249133Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.3250061Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.3250445Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.3256943Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.3264004Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.3265344Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.3265901Z | ^~~~~~~~ 2025-07-17T07:33:05.3266651Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.3267746Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.3268708Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.3269809Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.3270674Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.3271655Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.3272765Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.3274003Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.3275392Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.3276680Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.3277772Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.3278825Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.3279763Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3280396Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3284947Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.3285882Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.3286399Z | ^~~~ 2025-07-17T07:33:05.3287102Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.3288007Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.3299684Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.3300508Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.3301427Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.3302256Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.3303213Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.3304149Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.3305034Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.3305965Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.3306907Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.3307752Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3308310Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3309402Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.3310963Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.3312678Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.3314433Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.3316317Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.3318383Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.3324710Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.3335348Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.3341451Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.3342382Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.3342768Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.3349090Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.3355669Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.3357031Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.3357451Z | ^~~~~~~~ 2025-07-17T07:33:05.3358066Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.3359061Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.3359940Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.3360743Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.3361533Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.3362370Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.3363421Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.3364573Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.3365720Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.3366835Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.3367836Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.3368779Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.3369788Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3370341Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3371178Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.3371904Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.3372248Z | ^~~~ 2025-07-17T07:33:05.3372827Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.3373683Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.3374480Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.3375340Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.3376085Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.3376924Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.3377829Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.3378712Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.3379689Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.3380630Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.3381644Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.3382485Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3383041Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3384047Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.3385592Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.3387357Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.3389122Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.3391046Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.3393076Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.3399316Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.3409958Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.3415968Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.3416893Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.3417270Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.3423719Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.3430287Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.3431569Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.3431968Z | ^~~~~~~~ 2025-07-17T07:33:05.3432588Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.3433592Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.3434470Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.3435311Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.3436070Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.3436907Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.3437961Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.3439078Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.3440222Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.3441374Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.3442374Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.3443298Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.3444133Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3444676Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3445492Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.3446244Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.3446584Z | ^~~~ 2025-07-17T07:33:05.3447158Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.3448009Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.3448802Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.3449614Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.3450349Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.3451181Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.3452088Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.3452974Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.3453858Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.3454798Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.3455732Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.3456565Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3457113Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3458095Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.3459787Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.3461510Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.3463265Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.3465133Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.3467194Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.3473146Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.3483052Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.3488639Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.3489566Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.3489930Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.3495847Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.3502171Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.3503437Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.3503853Z | ^~~~~~~~ 2025-07-17T07:33:05.3504475Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.3505512Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.3506377Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.3507195Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.3507950Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.3508812Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.3509853Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.3510986Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.3512129Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.3513243Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.3514229Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.3515163Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.3515999Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3516548Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3517351Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.3518088Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.3518425Z | ^~~~ 2025-07-17T07:33:05.3519024Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.3519870Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.3520678Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.3521456Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.3522180Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.3523006Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.3523926Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.3524844Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.3525716Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.3526649Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.3527600Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.3528448Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3528999Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3530014Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.3531569Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.3533309Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.3535066Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.3536941Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.3538973Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.3545278Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.3555974Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.3562291Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.3563224Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.3563611Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.3570417Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.3576990Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.3578268Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.3578667Z | ^~~~~~~~ 2025-07-17T07:33:05.3579423Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.3580427Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.3581311Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.3582105Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.3582861Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.3583695Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.3584747Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.3585926Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.3587061Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.3588173Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.3589173Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.3590094Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.3590987Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3591539Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3592365Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.3593091Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.3593432Z | ^~~~ 2025-07-17T07:33:05.3594037Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.3594888Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.3595678Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.3596464Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.3597198Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.3598034Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.3598934Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.3599816Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.3600699Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.3601634Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.3602577Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.3603446Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3603998Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3604969Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.3606535Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.3608242Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.3610003Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.3611910Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.3613924Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.3620284Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.3630877Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.3636880Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.3637801Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.3638182Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.3644503Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.3651051Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.3652330Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.3652725Z | ^~~~~~~~ 2025-07-17T07:33:05.3653378Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.3654369Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.3655247Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.3656045Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.3656799Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.3657640Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.3658690Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.3659883Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.3661021Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.3662137Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.3663136Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.3664099Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.3664935Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3665487Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3666305Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.3667029Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.3667370Z | ^~~~ 2025-07-17T07:33:05.3667944Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.3668796Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.3669886Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.3670677Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.3671421Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.3672237Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.3673158Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.3674043Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.3674989Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.3675929Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.3676868Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.3677746Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3678299Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3679276Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.3680836Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.3682559Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.3684321Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.3686205Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.3688226Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.3694472Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.3705193Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.3711186Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.3712106Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.3712496Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.3718785Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.3725548Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.3726825Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.3727226Z | ^~~~~~~~ 2025-07-17T07:33:05.3727843Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.3728835Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.3729777Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.3730787Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.3731551Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.3732371Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.3733418Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.3734578Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.3735713Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.3736826Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.3737857Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.3738784Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.3739697Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3740248Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3741083Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.3741805Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.3742153Z | ^~~~ 2025-07-17T07:33:05.3742723Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.3743556Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.3744366Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.3745150Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.3745884Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.3746706Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.3747619Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.3748585Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.3749474Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.3750395Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.3751350Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.3752191Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3752738Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3753708Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.3755304Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.3757021Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.3758773Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.3760633Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.3762695Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.3768603Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.3778586Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.3784326Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.3785254Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.3785621Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.3791603Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.3797936Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.3799200Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.3799612Z | ^~~~~~~~ 2025-07-17T07:33:05.3800230Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.3801224Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.3802096Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.3802906Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.3803666Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.3804500Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.3805533Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.3806669Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.3807851Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.3808967Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.3809961Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.3810899Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.3811741Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3812288Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3813099Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.3813832Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.3814171Z | ^~~~ 2025-07-17T07:33:05.3814769Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:05.3815615Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:05.3816422Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:05.3817217Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:05.3817943Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:05.3818815Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:05.3819816Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:05.3820714Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:05.3821584Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:05.3822560Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:05.3823515Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:05.3824350Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3824886Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3825869Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:05.3827426Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:05.3829130Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:05.3830878Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:05.3832758Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:05.3834810Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:05.3841108Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:05.3851728Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:05.3857733Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:05.3858652Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:05.3859019Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:05.3865425Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:05.3872211Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:05.3873480Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:05.3873894Z | ^~~~~~~~ 2025-07-17T07:33:05.3874605Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:05.3875589Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:05.3876467Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:05.3877276Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:05.3878025Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:05.3878892Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:05.3879949Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:05.3881074Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:05.3882261Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:05.3883373Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:05.3884363Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:05.3885300Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:05.3886137Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:05.3886683Z from rng_extension.cpp:1: 2025-07-17T07:33:05.3887489Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:05.3888220Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:05.3888562Z | ^~~~ 2025-07-17T07:33:05.3891985Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so 2025-07-17T07:33:05.8519274Z running install_lib 2025-07-17T07:33:05.8609676Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-07-17T07:33:05.8689121Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-07-17T07:33:05.8769023Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-07-17T07:33:05.8856106Z running install_egg_info 2025-07-17T07:33:05.9051444Z running egg_info 2025-07-17T07:33:05.9130660Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-07-17T07:33:05.9134137Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-07-17T07:33:05.9146602Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-07-17T07:33:05.9157446Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-07-17T07:33:05.9248707Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-07-17T07:33:05.9257320Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-07-17T07:33:05.9268084Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info' (and everything under it) 2025-07-17T07:33:05.9269936Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info 2025-07-17T07:33:05.9283739Z running install_scripts 2025-07-17T07:33:09.1045682Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:33:09.1047579Z import pkg_resources 2025-07-17T07:33:09.1319708Z 2025-07-17T07:33:09.1320045Z Running tests... 2025-07-17T07:33:09.1320396Z ---------------------------------------------------------------------- 2025-07-17T07:33:09.1482172Z . 2025-07-17T07:33:09.1482508Z ---------------------------------------------------------------------- 2025-07-17T07:33:09.1482959Z Ran 1 test in 0.016s 2025-07-17T07:33:09.1483132Z 2025-07-17T07:33:09.1483210Z OK 2025-07-17T07:33:09.1483324Z 2025-07-17T07:33:09.1483472Z Generating XML reports... 2025-07-17T07:33:09.8848582Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-07-17 07:33:09.884490] 2025-07-17T07:33:12.2999190Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:33:12.3000735Z import pkg_resources 2025-07-17T07:33:12.3708770Z running install 2025-07-17T07:33:12.3711310Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-07-17T07:33:12.3712122Z !! 2025-07-17T07:33:12.3712233Z 2025-07-17T07:33:12.3712372Z ******************************************************************************** 2025-07-17T07:33:12.3712762Z Please avoid running ``setup.py`` directly. 2025-07-17T07:33:12.3713172Z Instead, use pypa/build, pypa/installer or other 2025-07-17T07:33:12.3713758Z standards-based tools. 2025-07-17T07:33:12.3713943Z 2025-07-17T07:33:12.3714191Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-07-17T07:33:12.3714663Z or your builds will no longer be supported. 2025-07-17T07:33:12.3714923Z 2025-07-17T07:33:12.3715229Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-07-17T07:33:12.3715763Z ******************************************************************************** 2025-07-17T07:33:12.3716006Z 2025-07-17T07:33:12.3716085Z !! 2025-07-17T07:33:12.3716309Z self.initialize_options() 2025-07-17T07:33:12.3847055Z running build 2025-07-17T07:33:12.3847375Z running build_py 2025-07-17T07:33:12.3937535Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-07-17T07:33:12.3939383Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-07-17T07:33:12.3943317Z running build_ext 2025-07-17T07:33:12.4295857Z building 'torch_test_cpp_extension.cpp' extension 2025-07-17T07:33:12.4296911Z creating /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313 2025-07-17T07:33:13.1789475Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/extension.o.d -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-07-17T07:33:13.1896401Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so 2025-07-17T07:33:13.6641274Z building 'torch_test_cpp_extension.maia' extension 2025-07-17T07:33:14.3897772Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/maia_extension.o.d -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/maia_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-07-17T07:33:14.3951970Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so 2025-07-17T07:33:14.9124790Z building 'torch_test_cpp_extension.rng' extension 2025-07-17T07:33:15.7951631Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/rng_extension.o.d -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-07-17T07:33:15.8007547Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so 2025-07-17T07:33:16.2754154Z running install_lib 2025-07-17T07:33:16.2844700Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-07-17T07:33:16.2892728Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-07-17T07:33:16.2937490Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-07-17T07:33:16.2987826Z running install_egg_info 2025-07-17T07:33:16.3190242Z running egg_info 2025-07-17T07:33:16.3271049Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-07-17T07:33:16.3274648Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-07-17T07:33:16.3276926Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-07-17T07:33:16.3279292Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-07-17T07:33:16.3366051Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-07-17T07:33:16.3376957Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-07-17T07:33:16.3378940Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info' (and everything under it) 2025-07-17T07:33:16.3380977Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info 2025-07-17T07:33:16.3387986Z running install_scripts 2025-07-17T07:33:18.5064518Z running install 2025-07-17T07:33:18.5066132Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-07-17T07:33:18.5066950Z !! 2025-07-17T07:33:18.5067062Z 2025-07-17T07:33:18.5067201Z ******************************************************************************** 2025-07-17T07:33:18.5067584Z Please avoid running ``setup.py`` directly. 2025-07-17T07:33:18.5068193Z Instead, use pypa/build, pypa/installer or other 2025-07-17T07:33:18.5068571Z standards-based tools. 2025-07-17T07:33:18.5068756Z 2025-07-17T07:33:18.5068982Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-07-17T07:33:18.5069763Z or your builds will no longer be supported. 2025-07-17T07:33:18.5070027Z 2025-07-17T07:33:18.5070331Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-07-17T07:33:18.5070861Z ******************************************************************************** 2025-07-17T07:33:18.5071101Z 2025-07-17T07:33:18.5071180Z !! 2025-07-17T07:33:18.5071397Z self.initialize_options() 2025-07-17T07:33:18.5201611Z running build 2025-07-17T07:33:18.5201858Z running build_ext 2025-07-17T07:33:18.5544863Z building 'no_python_abi_suffix_test' extension 2025-07-17T07:33:18.5547538Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313 2025-07-17T07:33:18.6758088Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o.d -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.13/include/python3.13 -c -c /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -std=c++17 2025-07-17T07:33:18.6808793Z creating build/lib.linux-x86_64-cpython-313 2025-07-17T07:33:18.6813757Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so 2025-07-17T07:33:18.7852240Z running install_lib 2025-07-17T07:33:18.7947544Z creating install/opt/conda/envs/py_3.13/lib/python3.13/site-packages 2025-07-17T07:33:18.7950888Z copying build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages 2025-07-17T07:33:18.7956451Z running install_egg_info 2025-07-17T07:33:18.8151611Z running egg_info 2025-07-17T07:33:18.8228763Z creating no_python_abi_suffix_test.egg-info 2025-07-17T07:33:18.8230062Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2025-07-17T07:33:18.8233574Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2025-07-17T07:33:18.8235988Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2025-07-17T07:33:18.8237387Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-07-17T07:33:18.8319048Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-07-17T07:33:18.8326313Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-07-17T07:33:18.8328035Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/no_python_abi_suffix_test-0.0.0-py3.13.egg-info 2025-07-17T07:33:18.8333451Z running install_scripts 2025-07-17T07:33:19.2914445Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:33:19.2916192Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:33:19.291344] 2025-07-17T07:33:22.5509741Z 2025-07-17T07:33:22.5510773Z test_cpp_extensions_aot_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_ninja_1.1_deb26c1e2d424f43_.log 2025-07-17T07:33:22.5519039Z Running 21 items in this shard: test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_ninja.py::TestTorchLibrary::test_torch_library 2025-07-17T07:33:22.5526784Z 2025-07-17T07:33:22.5527026Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-07-17 07:33:22.551892] 2025-07-17T07:33:24.8904955Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:33:24.8908190Z import pkg_resources 2025-07-17T07:33:24.9596190Z running install 2025-07-17T07:33:24.9598632Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-07-17T07:33:24.9600076Z !! 2025-07-17T07:33:24.9600271Z 2025-07-17T07:33:24.9600478Z ******************************************************************************** 2025-07-17T07:33:24.9601077Z Please avoid running ``setup.py`` directly. 2025-07-17T07:33:24.9601780Z Instead, use pypa/build, pypa/installer or other 2025-07-17T07:33:24.9602459Z standards-based tools. 2025-07-17T07:33:24.9602787Z 2025-07-17T07:33:24.9603199Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-07-17T07:33:24.9604107Z or your builds will no longer be supported. 2025-07-17T07:33:24.9604577Z 2025-07-17T07:33:24.9605413Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-07-17T07:33:24.9606418Z ******************************************************************************** 2025-07-17T07:33:24.9606876Z 2025-07-17T07:33:24.9607021Z !! 2025-07-17T07:33:24.9607419Z self.initialize_options() 2025-07-17T07:33:24.9738091Z running build 2025-07-17T07:33:24.9738383Z running build_py 2025-07-17T07:33:24.9824707Z creating build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-07-17T07:33:24.9827616Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension 2025-07-17T07:33:24.9831181Z running build_ext 2025-07-17T07:33:24.9846049Z building 'torch_test_cpp_extension.cpp' extension 2025-07-17T07:33:24.9848003Z creating build/temp.linux-x86_64-cpython-313 2025-07-17T07:33:24.9853014Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c extension.cpp -o build/temp.linux-x86_64-cpython-313/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -std=c++17 2025-07-17T07:33:26.0779307Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/Exceptions.h:12, 2025-07-17T07:33:26.0780346Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2025-07-17T07:33:26.0781216Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:9, 2025-07-17T07:33:26.0781790Z from extension.cpp:1: 2025-07-17T07:33:26.0783263Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2025-07-17T07:33:26.0784458Z extension.cpp:45:53: required from here 2025-07-17T07:33:26.0786844Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1539:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2025-07-17T07:33:26.0788817Z 1539 | class class_ : public detail::generic_type { 2025-07-17T07:33:26.0789328Z | ^~~~~~ 2025-07-17T07:33:26.0791273Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘pybind11::class_< , >::class_(pybind11::handle, const char*, const Extra& ...) [with Extra = {}; type_ = MatrixMultiplier; options = {}]’: 2025-07-17T07:33:26.0793042Z extension.cpp:45:53: required from here 2025-07-17T07:33:26.0795390Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/pybind11/pybind11.h:1599:28: warning: ‘pybind11::class_::class_<>(pybind11::handle, const char*)::’ declared with greater visibility than the type of its field ‘pybind11::class_::class_<>(pybind11::handle, const char*)::::’ [-Wattributes] 2025-07-17T07:33:26.0797345Z 1599 | with_internals([&](internals &internals) { 2025-07-17T07:33:26.0797717Z | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:26.0798241Z 1600 | auto &instances = record.module_local ? get_local_internals().registered_types_cpp 2025-07-17T07:33:26.0798813Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:26.0799333Z 1601 | : internals.registered_types_cpp; 2025-07-17T07:33:26.0799749Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:26.0800172Z 1602 | instances[std::type_index(typeid(type_alias))] 2025-07-17T07:33:26.0800576Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:26.0800956Z 1603 | = instances[std::type_index(typeid(type))]; 2025-07-17T07:33:26.0801354Z | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:26.0801679Z 1604 | }); 2025-07-17T07:33:26.0801972Z | ~ 2025-07-17T07:33:26.0805334Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so 2025-07-17T07:33:26.6317391Z building 'torch_test_cpp_extension.maia' extension 2025-07-17T07:33:26.6322624Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c maia_extension.cpp -o build/temp.linux-x86_64-cpython-313/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -std=c++17 2025-07-17T07:33:27.7014092Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/maia_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so 2025-07-17T07:33:28.2581339Z building 'torch_test_cpp_extension.rng' extension 2025-07-17T07:33:28.2585368Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include -I/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/opt/conda/envs/py_3.13/include/python3.13 -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-313/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -std=c++17 2025-07-17T07:33:29.5629687Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-07-17T07:33:29.5631333Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-07-17T07:33:29.5632731Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-07-17T07:33:29.5634338Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-07-17T07:33:29.5635556Z from rng_extension.cpp:6: 2025-07-17T07:33:29.5637451Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1458: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-07-17T07:33:29.5639087Z 1458 | #pragma unroll 2025-07-17T07:33:29.5639487Z | 2025-07-17T07:33:29.5640495Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_convert.h:4, 2025-07-17T07:33:29.5641931Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1510, 2025-07-17T07:33:29.5643307Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-07-17T07:33:29.5644725Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-07-17T07:33:29.5646122Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-07-17T07:33:29.5647705Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-07-17T07:33:29.5648910Z from rng_extension.cpp:6: 2025-07-17T07:33:29.5650562Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:59: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-07-17T07:33:29.5651904Z 59 | #pragma unroll 2025-07-17T07:33:29.5652335Z | 2025-07-17T07:33:29.5653665Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:72: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-07-17T07:33:29.5654907Z 72 | #pragma unroll 2025-07-17T07:33:29.5655361Z | 2025-07-17T07:33:29.5656888Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_n.h:87: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-07-17T07:33:29.5658120Z 87 | #pragma unroll 2025-07-17T07:33:29.5658368Z | 2025-07-17T07:33:29.5659111Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1511, 2025-07-17T07:33:29.5660113Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8, 2025-07-17T07:33:29.5661044Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec.h:7, 2025-07-17T07:33:29.5661855Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2025-07-17T07:33:29.5662864Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:9, 2025-07-17T07:33:29.5663769Z from rng_extension.cpp:6: 2025-07-17T07:33:29.5665217Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/cpu/vec/vec_mask.h:160: warning: ignoring ‘#pragma unroll ’ [-Wunknown-pragmas] 2025-07-17T07:33:29.5666661Z 160 | #pragma unroll 2025-07-17T07:33:29.5667008Z | 2025-07-17T07:33:29.5667746Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.5669099Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.5670348Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.5671125Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.5672036Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.5672871Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.5673784Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.5674654Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.5675608Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.5676546Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.5677500Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.5678375Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.5679025Z from rng_extension.cpp:1: 2025-07-17T07:33:29.5680135Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.5682151Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.5683949Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.5685706Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.5687587Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.5689629Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.5696051Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.5706765Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.5712806Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.5713733Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.5714118Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.5720480Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.5727091Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.5728368Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.5728765Z | ^~~~~~~~ 2025-07-17T07:33:29.5729383Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.5730377Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.5731372Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.5732716Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.5733664Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.5734535Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.5735588Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.5736769Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.5737917Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.5739048Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.5740179Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.5741107Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.5741954Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.5742504Z from rng_extension.cpp:1: 2025-07-17T07:33:29.5743380Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.5744108Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.5744462Z | ^~~~ 2025-07-17T07:33:29.5745042Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.5745880Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.5746696Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.5747482Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.5748227Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.5749051Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.5749974Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.5750924Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.5751808Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.5752731Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.5753694Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.5754532Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.5755086Z from rng_extension.cpp:1: 2025-07-17T07:33:29.5756074Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.5757672Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.5759389Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.5761148Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.5763056Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.5765088Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.5771443Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.5786824Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.5793118Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.5794236Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.5794809Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.5801196Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.5819988Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.5821309Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.5821714Z | ^~~~~~~~ 2025-07-17T07:33:29.5822353Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.5823347Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.5824235Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.5825030Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.5825788Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.5826622Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.5827673Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.5828880Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.5830021Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.5831131Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.5832131Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.5833056Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.5833898Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.5834447Z from rng_extension.cpp:1: 2025-07-17T07:33:29.5835331Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.5836056Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.5836399Z | ^~~~ 2025-07-17T07:33:29.5836976Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.5837814Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.5838621Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.5839440Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.5840180Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.5841011Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.5841932Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.5842855Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.5843739Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.5844660Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.5845622Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.5846457Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.5847018Z from rng_extension.cpp:1: 2025-07-17T07:33:29.5847996Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.5849563Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.5851278Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.5853038Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.5854949Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.5856969Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.5862923Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.5872930Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.5878647Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.5879575Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.5879945Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.5885857Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.5892054Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.5893362Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.5893777Z | ^~~~~~~~ 2025-07-17T07:33:29.5894435Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.5895431Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.5896342Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.5897160Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.5897914Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.5898743Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.5899846Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.5900997Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.5902140Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.5903256Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.5904243Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.5905182Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.5906023Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.5906608Z from rng_extension.cpp:1: 2025-07-17T07:33:29.5907427Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.5908161Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.5908511Z | ^~~~ 2025-07-17T07:33:29.5909074Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.5909921Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.5910740Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.5911517Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.5912255Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.5913094Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.5914006Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.5914881Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.5915766Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.5916695Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.5917676Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.5918525Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.5919071Z from rng_extension.cpp:1: 2025-07-17T07:33:29.5920051Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.5921631Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.5923333Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.5925070Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.5926944Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.5928962Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.5934759Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.5944631Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.5950375Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.5951298Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.5951677Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.5957572Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.5963751Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.5965023Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.5965465Z | ^~~~~~~~ 2025-07-17T07:33:29.5966075Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.5967064Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.5967946Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.5968753Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.5969682Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.5970521Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.5971571Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.5972707Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.5973834Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.5974946Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.5975947Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.5976951Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.5977774Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.5978363Z from rng_extension.cpp:1: 2025-07-17T07:33:29.5979273Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.5980012Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.5980391Z | ^~~~ 2025-07-17T07:33:29.5980965Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.5981814Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.5982611Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.5983405Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.5984153Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.5984991Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.5985896Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.5986775Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.5987652Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.5988580Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.5989515Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.5990396Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.5990941Z from rng_extension.cpp:1: 2025-07-17T07:33:29.5991935Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.5993467Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.5995177Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.5996939Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.5998827Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.6000852Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.6006685Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.6016487Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.6022237Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.6023227Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.6023654Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.6029545Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.6035762Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.6037086Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.6037506Z | ^~~~~~~~ 2025-07-17T07:33:29.6038151Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.6039199Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.6040081Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.6040876Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.6041637Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.6042480Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.6043536Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.6044673Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.6045806Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.6046922Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.6047929Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.6048867Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.6049730Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6050280Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6051107Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.6051842Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.6052183Z | ^~~~ 2025-07-17T07:33:29.6052757Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.6053614Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.6054411Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.6055194Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.6055937Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.6056764Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.6057668Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.6058545Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.6059510Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.6060439Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.6061423Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.6062296Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6062846Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6063863Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.6065402Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.6067105Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.6068867Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.6070947Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.6072960Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.6079088Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.6089633Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.6095608Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.6096530Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.6096906Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.6103193Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.6109915Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.6111235Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.6111634Z | ^~~~~~~~ 2025-07-17T07:33:29.6112257Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.6113243Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.6114126Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.6114927Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.6115683Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.6116518Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.6117568Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.6118685Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.6119821Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.6120962Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.6121963Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.6122923Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.6123742Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6124318Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6125136Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.6125861Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.6126199Z | ^~~~ 2025-07-17T07:33:29.6126766Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.6127618Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.6128416Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.6129194Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.6129935Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.6130762Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.6131664Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.6132546Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.6133427Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.6134395Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.6135333Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.6136167Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6136718Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6137700Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.6139322Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.6141051Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.6142816Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.6144686Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.6146694Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.6152921Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.6163302Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.6169242Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.6170398Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.6170789Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.6177075Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.6183766Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.6185050Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.6185449Z | ^~~~~~~~ 2025-07-17T07:33:29.6186073Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.6187070Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.6187951Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.6188759Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.6189513Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.6190345Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.6191397Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.6192514Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.6193662Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.6194822Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.6195822Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.6196742Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.6197570Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6198115Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6198935Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.6199656Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.6199992Z | ^~~~ 2025-07-17T07:33:29.6200568Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.6201404Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.6202208Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.6202991Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.6203725Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.6204544Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.6205495Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.6206407Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.6207286Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.6208227Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.6209182Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.6210012Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6210562Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6211533Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.6213098Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.6214812Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.6216568Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.6218431Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.6220613Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.6226443Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.6236302Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.6241911Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.6242842Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.6243209Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.6249065Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.6255280Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.6256537Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.6256949Z | ^~~~~~~~ 2025-07-17T07:33:29.6257565Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.6258562Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.6259499Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.6260315Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.6261067Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.6261901Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.6262938Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.6264069Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.6265268Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.6266420Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.6267410Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.6268374Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.6269208Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6270078Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6270910Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.6271644Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.6271988Z | ^~~~ 2025-07-17T07:33:29.6272549Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.6273395Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.6274199Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.6274977Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.6275700Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.6276532Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.6277442Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.6278416Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.6279285Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.6280221Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.6281167Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.6282000Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6282539Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6283527Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.6285092Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.6286805Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.6288562Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.6290425Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.6292531Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.6298382Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.6308298Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.6313975Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.6314886Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.6315268Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.6321163Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.6327413Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.6328681Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.6329098Z | ^~~~~~~~ 2025-07-17T07:33:29.6329702Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.6330703Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.6331587Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.6332399Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.6333140Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.6333975Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.6335026Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.6336158Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.6337284Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.6338426Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.6339490Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.6340429Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.6341267Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6341798Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6342625Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.6343355Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.6343687Z | ^~~~ 2025-07-17T07:33:29.6344258Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.6345101Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.6345907Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.6346681Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.6347420Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.6348249Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.6349210Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.6350107Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.6350992Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.6351950Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.6352903Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.6353727Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6354274Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6355256Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.6356814Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.6358526Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.6360270Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.6362141Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.6364222Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.6370193Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.6380157Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.6385788Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.6386716Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.6387091Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.6392964Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.6399180Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.6400455Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.6400851Z | ^~~~~~~~ 2025-07-17T07:33:29.6401470Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.6402463Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.6403348Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.6404143Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.6404898Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.6405727Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.6406778Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.6407927Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.6409097Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.6410206Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.6411232Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.6412152Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.6412985Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6413531Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6414347Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.6415067Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.6415410Z | ^~~~ 2025-07-17T07:33:29.6415983Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.6416828Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.6417624Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.6418410Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.6419147Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.6420054Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.6420958Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.6421933Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.6422816Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.6423745Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.6424685Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.6425521Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6426071Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6427056Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.6428594Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.6430304Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.6432052Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.6433966Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.6436015Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.6441837Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.6451612Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.6457268Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.6458205Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.6458580Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.6464545Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.6471011Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.6472274Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.6472693Z | ^~~~~~~~ 2025-07-17T07:33:29.6473323Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.6474318Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.6475190Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.6476004Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.6476760Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.6477595Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.6478628Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.6479758Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.6480939Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.6482045Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.6483034Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.6483968Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.6484802Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6485352Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6486157Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.6486890Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.6487267Z | ^~~~ 2025-07-17T07:33:29.6487829Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.6488681Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.6489495Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.6490279Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.6491007Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.6491879Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.6492797Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.6493676Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.6494571Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.6495506Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.6496457Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.6497289Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6497824Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6498801Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.6500449Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.6502162Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.6503924Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.6505802Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.6507862Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.6513704Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.6523515Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.6529184Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.6530094Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.6530479Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.6536339Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.6542638Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.6543915Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.6544333Z | ^~~~~~~~ 2025-07-17T07:33:29.6544947Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.6545924Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.6546848Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.6547660Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.6548416Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.6549229Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.6550274Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.6551434Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.6552574Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.6553672Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.6554714Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.6555646Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.6556480Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6557019Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6557838Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.6558575Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.6558905Z | ^~~~ 2025-07-17T07:33:29.6559478Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.6560332Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.6561145Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.6561917Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.6562664Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.6563498Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.6564441Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.6565312Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.6566191Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.6567120Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.6568081Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.6568904Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6569609Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6570706Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.6572268Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.6573980Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.6575720Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.6577667Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.6579757Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.6585950Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.6596341Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.6602281Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.6603241Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.6603629Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.6609854Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_full_64_bits_range_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.6616375Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.6617660Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.6618078Z | ^~~~~~~~ 2025-07-17T07:33:29.6618688Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.6619721Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.6620602Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.6621407Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.6622145Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.6622979Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.6624022Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.6625187Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.6626315Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.6627424Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.6628419Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.6629349Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.6630174Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6630752Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6631582Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.6632314Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.6632646Z | ^~~~ 2025-07-17T07:33:29.6633215Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.6634068Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.6634870Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.6635670Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.6636407Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.6637237Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.6638180Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.6639048Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.6639926Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.6640853Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.6641805Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.6642632Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6643178Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6644158Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.6645703Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.6647392Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.6649151Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.6651053Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.6653068Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.6659450Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.6670288Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.6676286Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.6677213Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.6677591Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.6683902Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.6690584Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.6691855Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.6692271Z | ^~~~~~~~ 2025-07-17T07:33:29.6692875Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.6693865Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.6694742Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.6695585Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.6696332Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.6697160Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.6698236Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.6699462Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.6700590Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.6701706Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.6702712Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.6703640Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.6704462Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6705011Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6705837Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.6706566Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.6706897Z | ^~~~ 2025-07-17T07:33:29.6707470Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.6708316Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.6709160Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.6709931Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.6710667Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.6711495Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.6712410Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.6713279Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.6714159Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.6715152Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.6716106Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.6716933Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6717484Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6718467Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.6720047Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.6721745Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.6723532Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.6725409Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.6727423Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.6733695Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.6744369Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.6750355Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.6751310Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.6751696Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.6758584Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.6765134Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.6766408Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.6766819Z | ^~~~~~~~ 2025-07-17T07:33:29.6767426Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.6768415Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.6769335Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.6770404Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.6771144Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.6771969Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.6773014Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.6774142Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.6775333Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.6776445Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.6777447Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.6778390Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.6779293Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6779895Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6780737Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.6781474Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.6781806Z | ^~~~ 2025-07-17T07:33:29.6782375Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.6783259Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.6784069Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.6784837Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.6785578Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.6786412Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.6787332Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.6788211Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.6789101Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.6790030Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.6790987Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.6791812Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6792363Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6793355Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.6794983Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.6796683Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.6798442Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.6800312Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.6802366Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.6808607Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.6819165Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.6825215Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.6826178Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.6826556Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.6832880Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.6839411Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.6840719Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.6841128Z | ^~~~~~~~ 2025-07-17T07:33:29.6841730Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.6842747Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.6843627Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.6844436Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.6845178Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.6846010Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.6847064Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.6848193Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.6849324Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.6850435Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.6851446Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.6852387Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.6853245Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6853796Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6854616Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.6855352Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.6855681Z | ^~~~ 2025-07-17T07:33:29.6856247Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.6857092Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.6857886Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.6858668Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.6859529Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.6860382Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.6861288Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.6862175Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.6863058Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.6864026Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.6864979Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.6865810Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6866369Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6867400Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.6868955Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.6870872Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.6872644Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.6874524Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.6876544Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.6882761Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.6893432Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.6899539Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.6900464Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.6900845Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.6907139Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.6913696Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.6914969Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.6915376Z | ^~~~~~~~ 2025-07-17T07:33:29.6915980Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.6916972Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.6917861Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.6918664Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.6919443Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.6920275Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.6921332Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.6922463Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.6923590Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.6924727Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.6925734Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.6926666Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.6927515Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6928069Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6928884Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.6929614Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.6929943Z | ^~~~ 2025-07-17T07:33:29.6930514Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.6931365Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.6932156Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.6932941Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.6933680Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.6934512Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.6935413Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.6936298Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.6937218Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.6938150Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.6939090Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.6940002Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.6940556Z from rng_extension.cpp:1: 2025-07-17T07:33:29.6941542Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.6943094Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.6944832Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.6946599Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.6948459Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.6950510Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.6956768Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.6967293Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.6973507Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.6974439Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.6974819Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.6981276Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.6987855Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.6989129Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.6989545Z | ^~~~~~~~ 2025-07-17T07:33:29.6990150Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.6991141Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.6992017Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.6992826Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.6993570Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.6994402Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.6995451Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.6996592Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.6997773Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.6998887Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.6999888Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.7000814Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.7001634Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7002180Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7002997Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.7003760Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.7004088Z | ^~~~ 2025-07-17T07:33:29.7004658Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.7005510Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.7006301Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.7007088Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.7007871Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.7008704Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.7009615Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.7010499Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.7011415Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.7012345Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.7013288Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.7014130Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7014682Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7015666Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.7017221Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.7018918Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.7020745Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.7022629Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.7024683Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.7030932Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.7041517Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.7047496Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.7048414Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.7048790Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.7055314Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.7062172Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.7063637Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.7064131Z | ^~~~~~~~ 2025-07-17T07:33:29.7064846Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.7065955Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.7066956Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.7079822Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.7080774Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.7081613Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.7082678Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.7083847Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.7084989Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.7086106Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.7087106Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.7088033Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.7088884Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7089435Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7090341Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.7091069Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.7091413Z | ^~~~ 2025-07-17T07:33:29.7091980Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.7092830Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.7093631Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.7094463Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.7095203Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.7096038Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.7096941Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.7097825Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.7098705Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.7099741Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.7100731Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.7101567Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7102124Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7103138Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.7104703Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.7106455Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.7108221Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.7110133Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.7112164Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.7118416Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.7129077Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.7135018Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.7135942Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.7136328Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.7142751Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.7149396Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.7150678Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.7151075Z | ^~~~~~~~ 2025-07-17T07:33:29.7151696Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.7152688Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.7153578Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.7154408Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.7155165Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.7155999Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.7157046Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.7158163Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.7159305Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.7160417Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.7161443Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.7162368Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.7163202Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7163755Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7164574Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.7165327Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.7165668Z | ^~~~ 2025-07-17T07:33:29.7166238Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.7167084Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.7167898Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.7168711Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.7169614Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.7170476Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.7171392Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.7172280Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.7173170Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.7174094Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.7175048Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.7175888Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7176436Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7177418Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.7178975Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.7180855Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.7182617Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.7184490Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.7186584Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.7192836Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.7203478Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.7209438Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.7210362Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.7210768Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.7217100Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.7223693Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.7224970Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.7225405Z | ^~~~~~~~ 2025-07-17T07:33:29.7226017Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.7227014Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.7227894Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.7228714Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.7229471Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.7230303Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.7231358Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.7232477Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.7233624Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.7234745Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.7235755Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.7236678Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.7237520Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7238067Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7238914Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.7239641Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.7239980Z | ^~~~ 2025-07-17T07:33:29.7240553Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.7241388Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.7242202Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.7242990Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.7243732Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.7244549Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.7245499Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.7246387Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.7247269Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.7248187Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.7249140Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.7250022Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7250576Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7251546Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.7253126Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.7254833Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.7256575Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.7258451Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.7260560Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.7266335Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.7276442Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.7282104Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.7283036Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.7283397Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.7289299Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.7295489Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.7296766Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.7297189Z | ^~~~~~~~ 2025-07-17T07:33:29.7297808Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.7298858Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.7299837Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.7300637Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.7301398Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.7302234Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.7303290Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.7304455Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.7305597Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.7306714Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.7307714Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.7308637Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.7309504Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7310054Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7310891Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.7311614Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.7311962Z | ^~~~ 2025-07-17T07:33:29.7312573Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.7313411Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.7313764Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.7314077Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.7314392Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.7314806Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.7315183Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.7315576Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.7315949Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.7316382Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.7316777Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.7317090Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7317240Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7317998Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.7318866Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.7319781Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.7320697Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.7321800Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.7322914Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.7328193Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.7334102Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.7334951Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.7335103Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.7335229Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.7341419Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.7342728Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.7342933Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.7343036Z | ^~~~~~~~ 2025-07-17T07:33:29.7343504Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.7343928Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.7344273Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.7344615Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.7344925Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.7345373Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.7345899Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.7346394Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.7346911Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.7347389Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.7347799Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.7348212Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.7348522Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7348636Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7349237Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.7349374Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.7349463Z | ^~~~ 2025-07-17T07:33:29.7349857Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.7350227Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.7350581Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.7350925Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.7351221Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.7351671Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.7352050Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.7352435Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.7352812Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.7353239Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.7353654Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.7353964Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7354090Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7354841Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.7355702Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.7356631Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.7357588Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.7358621Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.7359708Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.7364977Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.7371254Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.7372088Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.7372243Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.7372355Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.7378449Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.7379842Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.7380047Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.7380146Z | ^~~~~~~~ 2025-07-17T07:33:29.7380606Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.7381068Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.7381542Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.7382085Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.7382416Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.7382860Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.7383376Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.7383882Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.7384401Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.7384883Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.7385291Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.7385688Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.7386012Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7386122Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7386756Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.7386892Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.7386980Z | ^~~~ 2025-07-17T07:33:29.7387425Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.7387764Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.7388119Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.7388430Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.7388724Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.7389148Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.7389526Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.7389917Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.7390291Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.7390720Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.7391133Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.7391441Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7391562Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7392355Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.7393248Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.7394219Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.7395136Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.7396186Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.7397378Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.7402652Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.7408675Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.7409511Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.7409678Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.7409820Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.7415956Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.7417223Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.7417428Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.7417517Z | ^~~~~~~~ 2025-07-17T07:33:29.7418028Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.7418437Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.7418796Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.7419131Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.7419483Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.7419910Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.7420427Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.7420941Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.7421458Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.7421927Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.7422349Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.7422747Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.7423099Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7423213Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7423836Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.7423984Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.7424073Z | ^~~~ 2025-07-17T07:33:29.7424496Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.7424834Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.7425171Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.7425502Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.7425800Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.7426228Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.7426606Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.7426982Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.7427374Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.7427802Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.7428218Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.7428529Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7428669Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7429433Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.7430291Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.7431223Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.7432143Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.7433204Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.7434277Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.7439192Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.7444757Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.7445613Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.7445782Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.7445896Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.7451522Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_kernel(at::TensorIteratorBase&, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.7452781Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.7453029Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.7453122Z | ^~~~~~~~ 2025-07-17T07:33:29.7453606Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.7454033Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.7454403Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.7454756Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.7455047Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.7455465Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.7455987Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.7456489Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.7457025Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.7457492Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.7457912Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.7458311Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.7458624Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7458775Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7459439Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.7459575Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.7459678Z | ^~~~ 2025-07-17T07:33:29.7460066Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/ArrayRef.h:20, 2025-07-17T07:33:29.7460420Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/core/MemoryFormat.h:3, 2025-07-17T07:33:29.7460761Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/TensorBody.h:13, 2025-07-17T07:33:29.7461082Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/core/Tensor.h:3, 2025-07-17T07:33:29.7461390Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/Tensor.h:3, 2025-07-17T07:33:29.7461805Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/function_hook.h:3, 2025-07-17T07:33:29.7462198Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/cpp_hook.h:2, 2025-07-17T07:33:29.7462576Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/variable.h:6, 2025-07-17T07:33:29.7462950Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/autograd/autograd.h:3, 2025-07-17T07:33:29.7463386Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/autograd.h:3, 2025-07-17T07:33:29.7463816Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:7, 2025-07-17T07:33:29.7464163Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7464275Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7465030Z In member function ‘void c10::SmallVectorTemplateCommon >::grow_pod(size_t, size_t) [with T = char*; = void]’, 2025-07-17T07:33:29.7465914Z inlined from ‘void c10::SmallVectorTemplateBase::grow(size_t) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:579:19, 2025-07-17T07:33:29.7466835Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:704:17, 2025-07-17T07:33:29.7467754Z inlined from ‘void c10::SmallVectorImpl::reserve(c10::SmallVectorImpl::size_type) [with T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:702:8, 2025-07-17T07:33:29.7468795Z inlined from ‘void c10::SmallVectorImpl::append(in_iter, in_iter) [with in_iter = char**; = void; T = char*]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:730:18, 2025-07-17T07:33:29.7470139Z inlined from ‘c10::SmallVector::SmallVector(ItTy, ItTy) [with ItTy = char**; = void; T = char*; unsigned int N = 4]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:1295:17, 2025-07-17T07:33:29.7475404Z inlined from ‘at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21, 2025-07-17T07:33:29.7481501Z inlined from ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’ at /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/FunctionRef.h:43:52: 2025-07-17T07:33:29.7482405Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:139:19: warning: ‘data’ may be used uninitialized [-Wmaybe-uninitialized] 2025-07-17T07:33:29.7482560Z 139 | Base::grow_pod(getFirstEl(), MinSize, TSize); 2025-07-17T07:33:29.7482686Z | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 2025-07-17T07:33:29.7488735Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h: In static member function ‘static Ret c10::function_ref::callback_fn(intptr_t, Params ...) [with Callable = at::TensorIteratorBase::loop_2d_from_1d(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&):: >(const at::native::CPU_CAPABILITY::cpu_serial_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*):::::: >(at::TensorIteratorBase&, at::native::templates::cpu::{anonymous}::random_from_to_kernel(at::TensorIteratorBase&, uint64_t, int64_t, TestCPUGenerator*)::::::&&, const at::Range&)::&)::; Ret = void; Params = {char**, const long int*, long int, long int}]’: 2025-07-17T07:33:29.7490009Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/c10/util/SmallVector.h:73:8: note: by argument 2 of type ‘const void*’ to ‘void c10::SmallVectorBase::grow_pod(const void*, size_t, size_t) [with Size_T = unsigned int]’ declared here 2025-07-17T07:33:29.7490252Z 73 | void grow_pod(const void* FirstEl, size_t MinSize, size_t TSize); 2025-07-17T07:33:29.7490340Z | ^~~~~~~~ 2025-07-17T07:33:29.7490804Z In file included from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_meta.h:12, 2025-07-17T07:33:29.7491226Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ops/_addmm_activation_native.h:15, 2025-07-17T07:33:29.7491568Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/NativeFunctions.h:37, 2025-07-17T07:33:29.7491923Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIndexing.h:13, 2025-07-17T07:33:29.7492219Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/ATen.h:18, 2025-07-17T07:33:29.7492636Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3, 2025-07-17T07:33:29.7493159Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4, 2025-07-17T07:33:29.7493658Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3, 2025-07-17T07:33:29.7494189Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:4, 2025-07-17T07:33:29.7494685Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3, 2025-07-17T07:33:29.7495092Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3, 2025-07-17T07:33:29.7495536Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/csrc/api/include/torch/all.h:9, 2025-07-17T07:33:29.7495847Z from /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/torch/extension.h:5, 2025-07-17T07:33:29.7495996Z from rng_extension.cpp:1: 2025-07-17T07:33:29.7496590Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/include/ATen/TensorIterator.h:413:21: note: ‘data’ declared here 2025-07-17T07:33:29.7496726Z 413 | PtrVector data(base, base + ntensor); 2025-07-17T07:33:29.7496828Z | ^~~~ 2025-07-17T07:33:29.7499992Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib build/temp.linux-x86_64-cpython-313/rng_extension.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so 2025-07-17T07:33:30.1402978Z running install_lib 2025-07-17T07:33:30.1492821Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/cpp.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-07-17T07:33:30.1567592Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/maia.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-07-17T07:33:30.1641318Z copying build/lib.linux-x86_64-cpython-313/torch_test_cpp_extension/rng.cpython-313-x86_64-linux-gnu.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension 2025-07-17T07:33:30.1721060Z running install_egg_info 2025-07-17T07:33:30.1916848Z running egg_info 2025-07-17T07:33:30.1994648Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2025-07-17T07:33:30.1998241Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2025-07-17T07:33:30.2000438Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt 2025-07-17T07:33:30.2002794Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2025-07-17T07:33:30.2086739Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-07-17T07:33:30.2095214Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2025-07-17T07:33:30.2096811Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info' (and everything under it) 2025-07-17T07:33:30.2098833Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch_test_cpp_extension-0.0.0-py3.13.egg-info 2025-07-17T07:33:30.2105720Z running install_scripts 2025-07-17T07:33:32.2602036Z running install 2025-07-17T07:33:32.2603835Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/setuptools/_distutils/cmd.py:90: SetuptoolsDeprecationWarning: setup.py install is deprecated. 2025-07-17T07:33:32.2604621Z !! 2025-07-17T07:33:32.2604757Z 2025-07-17T07:33:32.2604881Z ******************************************************************************** 2025-07-17T07:33:32.2605265Z Please avoid running ``setup.py`` directly. 2025-07-17T07:33:32.2606271Z Instead, use pypa/build, pypa/installer or other 2025-07-17T07:33:32.2606629Z standards-based tools. 2025-07-17T07:33:32.2606828Z 2025-07-17T07:33:32.2607056Z By 2025-Oct-31, you need to update your project and remove deprecated calls 2025-07-17T07:33:32.2607609Z or your builds will no longer be supported. 2025-07-17T07:33:32.2607852Z 2025-07-17T07:33:32.2608158Z See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. 2025-07-17T07:33:32.2608741Z ******************************************************************************** 2025-07-17T07:33:32.2608994Z 2025-07-17T07:33:32.2609071Z !! 2025-07-17T07:33:32.2609289Z self.initialize_options() 2025-07-17T07:33:32.2738185Z running build 2025-07-17T07:33:32.2738593Z running build_ext 2025-07-17T07:33:32.3076415Z building 'no_python_abi_suffix_test' extension 2025-07-17T07:33:32.3672484Z ninja: no work to do. 2025-07-17T07:33:32.3718386Z g++ -pthread -B /opt/conda/envs/py_3.13/share/python_compiler_compat -fno-strict-overflow -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -fPIC -O2 -isystem /opt/conda/envs/py_3.13/include -shared -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib -Wl,--allow-shlib-undefined -Wl,-rpath,/opt/conda/envs/py_3.13/lib -Wl,-rpath-link,/opt/conda/envs/py_3.13/lib -L/opt/conda/envs/py_3.13/lib /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-313/no_python_abi_suffix_test.o -L/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so 2025-07-17T07:33:32.4753521Z running install_lib 2025-07-17T07:33:32.4847127Z copying build/lib.linux-x86_64-cpython-313/no_python_abi_suffix_test.so -> ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages 2025-07-17T07:33:32.4852002Z running install_egg_info 2025-07-17T07:33:32.5051653Z running egg_info 2025-07-17T07:33:32.5129340Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2025-07-17T07:33:32.5133056Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2025-07-17T07:33:32.5144402Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2025-07-17T07:33:32.5235236Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-07-17T07:33:32.5243131Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2025-07-17T07:33:32.5253870Z removing './install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/no_python_abi_suffix_test-0.0.0-py3.13.egg-info' (and everything under it) 2025-07-17T07:33:32.5255441Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/envs/py_3.13/lib/python3.13/site-packages/no_python_abi_suffix_test-0.0.0-py3.13.egg-info 2025-07-17T07:33:32.5261221Z running install_scripts 2025-07-17T07:33:32.9641439Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:33:32.9644472Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:33:32.964203] 2025-07-17T07:33:36.2502780Z 2025-07-17T07:33:36.2503801Z test_cpp_extensions_aot_no_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_32b2404137264ef2_.log 2025-07-17T07:33:36.2512217Z Running 21 items in this shard: test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_no_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_no_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_no_ninja.py::TestTorchLibrary::test_torch_library 2025-07-17T07:33:36.2519903Z 2025-07-17T07:33:36.2528676Z Running functorch/test_ops 8/8 ... [2025-07-17 07:33:36.252675] 2025-07-17T07:33:36.2529175Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:33:36.2538238Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=8', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:33:36.253585] 2025-07-17T07:33:42.6768041Z 2025-07-17T07:33:42.6768956Z functorch/test_ops 8/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_8.8_9c97dbf48abb81f9_.log 2025-07-17T07:33:42.6769993Z Running 0 items in this shard: 2025-07-17T07:33:42.6770186Z 2025-07-17T07:33:42.6772377Z Running inductor/test_aot_inductor_arrayref 1/1 ... [2025-07-17 07:33:42.677058] 2025-07-17T07:33:42.6772938Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:33:42.6776218Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:33:42.677396] 2025-07-17T07:33:49.8335010Z 2025-07-17T07:33:49.8336133Z inductor/test_aot_inductor_arrayref 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_arrayref_1.1_b81212cbd2314278_.log 2025-07-17T07:33:49.8336995Z 2025-07-17T07:33:49.8339314Z Running dynamo/cpython/3_13/test_generators 1/1 ... [2025-07-17 07:33:49.833747] 2025-07-17T07:33:49.8339881Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:33:49.8350474Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_generators.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:33:49.834813] 2025-07-17T07:33:53.1035854Z 2025-07-17T07:33:53.1036965Z dynamo/cpython/3_13/test_generators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_generators_1.1_3df66ffc8e6dae02_.log 2025-07-17T07:33:53.1037962Z Running 0 items in this shard: 2025-07-17T07:33:53.1038152Z 2025-07-17T07:33:53.1046734Z Running dynamo/cpython/3_13/test_contextlib 1/1 ... [2025-07-17 07:33:53.104484] 2025-07-17T07:33:53.1047212Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:33:53.1051060Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_contextlib.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:33:53.104869] 2025-07-17T07:33:56.4245808Z 2025-07-17T07:33:56.4248263Z dynamo/cpython/3_13/test_contextlib 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_contextlib_1.1_289de373864f7314_.log 2025-07-17T07:33:56.4250033Z Running 0 items in this shard: 2025-07-17T07:33:56.4250334Z 2025-07-17T07:33:56.4250719Z Running dynamo/cpython/3_13/test_raise 1/1 ... [2025-07-17 07:33:56.424255] 2025-07-17T07:33:56.4251191Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:33:56.4252521Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_raise.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:33:56.424668] 2025-07-17T07:33:59.6435479Z 2025-07-17T07:33:59.6436480Z dynamo/cpython/3_13/test_raise 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_raise_1.1_d2952b8085e7bcc9_.log 2025-07-17T07:33:59.6437393Z Running 0 items in this shard: 2025-07-17T07:33:59.6437586Z 2025-07-17T07:33:59.6445601Z Running dynamo/cpython/3_13/test_exceptions 1/1 ... [2025-07-17 07:33:59.644374] 2025-07-17T07:33:59.6446170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:33:59.6449269Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_exceptions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:33:59.644703] 2025-07-17T07:34:03.0152511Z 2025-07-17T07:34:03.0153626Z dynamo/cpython/3_13/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_exceptions_1.1_63f8cf349c6125b8_.log 2025-07-17T07:34:03.0154633Z Running 0 items in this shard: 2025-07-17T07:34:03.0155135Z 2025-07-17T07:34:03.0161355Z Running dynamo/cpython/3_13/test_sys 1/1 ... [2025-07-17 07:34:03.015944] 2025-07-17T07:34:03.0161861Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:34:03.0165069Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_sys.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:34:03.016272] 2025-07-17T07:34:06.2864772Z 2025-07-17T07:34:06.2865751Z dynamo/cpython/3_13/test_sys 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_sys_1.1_00a30b46757e0ed8_.log 2025-07-17T07:34:06.2866596Z Running 0 items in this shard: 2025-07-17T07:34:06.2866829Z 2025-07-17T07:34:06.2874520Z Running test_jit_fuser_te 1/1 ... [2025-07-17 07:34:06.287229] 2025-07-17T07:34:06.2874966Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:34:06.2878049Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit_fuser_te.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:34:06.287575] 2025-07-17T07:34:12.5607941Z 2025-07-17T07:34:12.5608813Z test_jit_fuser_te 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_1.1_37a3cedaabc7c0da_.log 2025-07-17T07:34:12.5609565Z Running 0 items in this shard: 2025-07-17T07:34:12.5609756Z 2025-07-17T07:34:12.5624303Z Running inductor/test_cudagraph_trees 1/1 ... [2025-07-17 07:34:12.562195] 2025-07-17T07:34:12.5624843Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:34:12.5627543Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:34:12.562541] 2025-07-17T07:34:19.0650236Z 2025-07-17T07:34:19.0651555Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_302744e5ff2233ee_.log 2025-07-17T07:34:19.0652333Z 2025-07-17T07:34:19.0660435Z Running inductor/test_compile_subprocess 1/1 ... [2025-07-17 07:34:19.065801] 2025-07-17T07:34:19.0661118Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:34:19.0663943Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_compile_subprocess.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:34:19.066159] 2025-07-17T07:34:26.0101065Z 2025-07-17T07:34:26.0102685Z inductor/test_compile_subprocess 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.1_ba7e3df6cd8cc39f_.log 2025-07-17T07:34:26.0106310Z 2025-07-17T07:34:26.0106776Z Running inductor/test_inplace_padding 1/1 ... [2025-07-17 07:34:26.010451] 2025-07-17T07:34:26.0107510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:34:26.0112394Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_inplace_padding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:34:26.010895] 2025-07-17T07:34:32.7800542Z 2025-07-17T07:34:32.7801559Z inductor/test_inplace_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplace_padding_1.1_e40f00c1c560a4f8_.log 2025-07-17T07:34:32.7802321Z 2025-07-17T07:34:32.7811776Z Running inductor/test_fuzzer 1/1 ... [2025-07-17 07:34:32.780923] 2025-07-17T07:34:32.7812282Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:34:32.7815430Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fuzzer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:34:32.781290] 2025-07-17T07:34:39.2484090Z 2025-07-17T07:34:39.2485036Z inductor/test_fuzzer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fuzzer_1.1_830a27fe98a43ffa_.log 2025-07-17T07:34:39.2485717Z 2025-07-17T07:34:39.2493301Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-07-17 07:34:39.249153] 2025-07-17T07:34:39.2493790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:34:39.2497255Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:34:39.249501] 2025-07-17T07:34:45.9731779Z 2025-07-17T07:34:45.9732901Z higher_order_ops/test_invoke_subgraph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_28fd2c8df79b2eda_.log 2025-07-17T07:34:45.9733828Z Running 0 items in this shard: 2025-07-17T07:34:45.9734033Z 2025-07-17T07:34:45.9735753Z Running test_numba_integration 1/1 ... [2025-07-17 07:34:45.973407] 2025-07-17T07:34:45.9736251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:34:45.9739862Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_numba_integration.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:34:45.973759] 2025-07-17T07:34:49.1433378Z 2025-07-17T07:34:49.1434736Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_87e908fb1a5b753b_.log 2025-07-17T07:34:49.1435581Z Running 0 items in this shard: 2025-07-17T07:34:49.1435774Z 2025-07-17T07:34:49.1449912Z Running export/test_torchbind 1/1 ... [2025-07-17 07:34:49.144735] 2025-07-17T07:34:49.1450661Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:34:49.1454178Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_torchbind.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:34:49.145165] 2025-07-17T07:34:52.5654375Z 2025-07-17T07:34:52.5655812Z export/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_torchbind_1.1_b439de10310f7f3f_.log 2025-07-17T07:34:52.5657213Z Running 0 items in this shard: 2025-07-17T07:34:52.5657514Z 2025-07-17T07:34:52.5659095Z Running dynamo/test_logging 1/1 ... [2025-07-17 07:34:52.565736] 2025-07-17T07:34:52.5659819Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:34:52.5665138Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_logging.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:34:52.566175] 2025-07-17T07:34:59.0772846Z 2025-07-17T07:34:59.0773875Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_83155c47e574abd6_.log 2025-07-17T07:34:59.0774568Z 2025-07-17T07:34:59.0776483Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-07-17 07:34:59.077450] 2025-07-17T07:34:59.0776989Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:34:59.0780371Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:34:59.077814] 2025-07-17T07:35:05.6871359Z 2025-07-17T07:35:05.6872706Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_209b0025e17510e9_.log 2025-07-17T07:35:05.6873731Z 2025-07-17T07:35:05.6873934Z Running dynamo/test_exc 1/1 ... [2025-07-17 07:35:05.687173] 2025-07-17T07:35:05.6874339Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:35:05.6877716Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_exc.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:35:05.687546] 2025-07-17T07:35:08.7969153Z 2025-07-17T07:35:08.7970225Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_adf78c457e482a32_.log 2025-07-17T07:35:08.7970887Z 2025-07-17T07:35:08.7973822Z Running test_autograd 1/1 ... [2025-07-17 07:35:08.797167] 2025-07-17T07:35:08.7974276Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:35:08.7977156Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:35:08.797514] 2025-07-17T07:35:13.3188527Z 2025-07-17T07:35:13.3189587Z test_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_1.1_101227da525809d8_.log 2025-07-17T07:35:13.3190296Z Running 0 items in this shard: 2025-07-17T07:35:13.3190502Z 2025-07-17T07:35:13.3193654Z Running test_testing 1/1 ... [2025-07-17 07:35:13.319138] 2025-07-17T07:35:13.3194297Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:35:13.3197147Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_testing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:35:13.319481] 2025-07-17T07:35:17.9904009Z 2025-07-17T07:35:17.9905188Z test_testing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_testing_1.1_edf43dbfbfcf81fc_.log 2025-07-17T07:35:17.9906160Z Running 0 items in this shard: 2025-07-17T07:35:17.9906366Z 2025-07-17T07:35:17.9915020Z Running test_quantization 1/5 ... [2025-07-17 07:35:17.991279] 2025-07-17T07:35:17.9915684Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:35:17.9919170Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'serial', '--shard-id=1', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:35:17.991647] 2025-07-17T07:35:22.9139286Z 2025-07-17T07:35:22.9140464Z test_quantization 1/5 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_1.5_5bdd81be4c76b8c4_.log 2025-07-17T07:35:22.9141256Z Running 0 items in this shard: 2025-07-17T07:35:22.9141450Z 2025-07-17T07:35:22.9143353Z Running test_quantization 2/5 ... [2025-07-17 07:35:22.914159] 2025-07-17T07:35:22.9144011Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:35:22.9147834Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'serial', '--shard-id=2', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:35:22.914507] 2025-07-17T07:35:27.3350474Z 2025-07-17T07:35:27.3351359Z test_quantization 2/5 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_2.5_3a982d226fcdcdd5_.log 2025-07-17T07:35:27.3352422Z Running 0 items in this shard: 2025-07-17T07:35:27.3352798Z 2025-07-17T07:35:27.3355111Z Running test_quantization 3/5 ... [2025-07-17 07:35:27.335287] 2025-07-17T07:35:27.3355767Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:35:27.3358375Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'serial', '--shard-id=3', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:35:27.335622] 2025-07-17T07:35:31.6563381Z 2025-07-17T07:35:31.6564199Z test_quantization 3/5 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_3.5_187144f0498409c8_.log 2025-07-17T07:35:31.6565110Z Running 0 items in this shard: 2025-07-17T07:35:31.6565334Z 2025-07-17T07:35:31.6566181Z Running export/test_export_with_inline_and_install 1/1 ... [2025-07-17 07:35:31.656432] 2025-07-17T07:35:31.6566703Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:35:31.6570328Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export_with_inline_and_install.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:35:31.656780] 2025-07-17T07:35:38.3165152Z 2025-07-17T07:35:38.3166925Z export/test_export_with_inline_and_install 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_with_inline_and_install_1.1_d30f650fa91a1eda_.log 2025-07-17T07:35:38.3168461Z 2025-07-17T07:35:38.3176641Z Running dynamo/test_install_free_tensors 1/1 ... [2025-07-17 07:35:38.317452] 2025-07-17T07:35:38.3177421Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:35:38.3182179Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_install_free_tensors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:35:38.317876] 2025-07-17T07:35:41.5577210Z 2025-07-17T07:35:41.5578442Z dynamo/test_install_free_tensors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_install_free_tensors_1.1_7c4dd60f74e00793_.log 2025-07-17T07:35:41.5579308Z 2025-07-17T07:35:41.5583509Z Running dynamo/cpython/3_13/test_list 1/1 ... [2025-07-17 07:35:41.557984] 2025-07-17T07:35:41.5584283Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:35:41.5585580Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_list.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:35:41.558332] 2025-07-17T07:35:44.8275667Z 2025-07-17T07:35:44.8276677Z dynamo/cpython/3_13/test_list 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_list_1.1_a000fd3f4f18ceb0_.log 2025-07-17T07:35:44.8277564Z Running 0 items in this shard: 2025-07-17T07:35:44.8277795Z 2025-07-17T07:35:44.8278042Z Running functorch/test_vmap 1/2 ... [2025-07-17 07:35:44.827631] 2025-07-17T07:35:44.8278500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:35:44.8282270Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:35:44.828003] 2025-07-17T07:35:49.6500577Z 2025-07-17T07:35:49.6501621Z functorch/test_vmap 1/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.2_968fbcba1f464c90_.log 2025-07-17T07:35:49.6502414Z Running 0 items in this shard: 2025-07-17T07:35:49.6502629Z 2025-07-17T07:35:49.6504658Z Running functorch/test_vmap 2/2 ... [2025-07-17 07:35:49.650301] 2025-07-17T07:35:49.6505096Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:35:49.6508892Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:35:49.650674] 2025-07-17T07:35:54.5221519Z 2025-07-17T07:35:54.5222486Z functorch/test_vmap 2/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_2.2_9a3c1adfe2a07fd6_.log 2025-07-17T07:35:54.5223269Z Running 0 items in this shard: 2025-07-17T07:35:54.5223462Z 2025-07-17T07:35:54.5229455Z Running test_nestedtensor 1/4 ... [2025-07-17 07:35:54.522761] 2025-07-17T07:35:54.5229875Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:35:54.5233301Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:35:54.523123] 2025-07-17T07:35:59.2939985Z 2025-07-17T07:35:59.2941288Z test_nestedtensor 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.4_fc1295587a5121bf_.log 2025-07-17T07:35:59.2942539Z Running 0 items in this shard: 2025-07-17T07:35:59.2942790Z 2025-07-17T07:35:59.2950664Z Running inductor/test_torchinductor_dynamic_shapes 1/1 ... [2025-07-17 07:35:59.294841] 2025-07-17T07:35:59.2951519Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:35:59.2954807Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:35:59.295242] 2025-07-17T07:36:06.5077441Z 2025-07-17T07:36:06.5078657Z inductor/test_torchinductor_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_1.1_7c6b72966e54f9cc_.log 2025-07-17T07:36:06.5079632Z 2025-07-17T07:36:06.5081416Z Running test_binary_ufuncs 1/1 ... [2025-07-17 07:36:06.507942] 2025-07-17T07:36:06.5081849Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:36:06.5084865Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_binary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:36:06.508276] 2025-07-17T07:36:12.8817428Z 2025-07-17T07:36:12.8818484Z test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_binary_ufuncs_1.1_b11e07e4b83787b1_.log 2025-07-17T07:36:12.8819339Z Running 0 items in this shard: 2025-07-17T07:36:12.8819536Z 2025-07-17T07:36:12.8821270Z Running functorch/test_aotdispatch 1/6 ... [2025-07-17 07:36:12.881969] 2025-07-17T07:36:12.8821800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:36:12.8825195Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=1', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:36:12.882306] 2025-07-17T07:36:18.0564939Z 2025-07-17T07:36:18.0565973Z functorch/test_aotdispatch 1/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.6_86478f90cecd7771_.log 2025-07-17T07:36:18.0567090Z Running 0 items in this shard: 2025-07-17T07:36:18.0567302Z 2025-07-17T07:36:18.0567567Z Running functorch/test_aotdispatch 2/6 ... [2025-07-17 07:36:18.056535] 2025-07-17T07:36:18.0568044Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:36:18.0578511Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=2', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:36:18.057550] 2025-07-17T07:36:23.1797043Z 2025-07-17T07:36:23.1798492Z functorch/test_aotdispatch 2/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_2.6_75f392fd55ff72c5_.log 2025-07-17T07:36:23.1799444Z Running 0 items in this shard: 2025-07-17T07:36:23.1799635Z 2025-07-17T07:36:23.1801394Z Running functorch/test_aotdispatch 4/6 ... [2025-07-17 07:36:23.179929] 2025-07-17T07:36:23.1801954Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:36:23.1805462Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=4', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:36:23.180313] 2025-07-17T07:36:28.2513856Z 2025-07-17T07:36:28.2514846Z functorch/test_aotdispatch 4/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_4.6_230f063fb9c92579_.log 2025-07-17T07:36:28.2515708Z Running 0 items in this shard: 2025-07-17T07:36:28.2515900Z 2025-07-17T07:36:28.2517702Z Running test_foreach 1/1 ... [2025-07-17 07:36:28.251610] 2025-07-17T07:36:28.2518118Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:36:28.2522241Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_foreach.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:36:28.252003] 2025-07-17T07:36:36.5275606Z 2025-07-17T07:36:36.5276721Z test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_foreach_1.1_6a463bd6100f12be_.log 2025-07-17T07:36:36.5277736Z Running 0 items in this shard: 2025-07-17T07:36:36.5278026Z 2025-07-17T07:36:36.5279029Z Running dynamo/cpython/3_13/test_generator_stop 1/1 ... [2025-07-17 07:36:36.527743] 2025-07-17T07:36:36.5279687Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:36:36.5283135Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_generator_stop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:36:36.528070] 2025-07-17T07:36:39.6967137Z 2025-07-17T07:36:39.6968254Z dynamo/cpython/3_13/test_generator_stop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_generator_stop_1.1_36eeeb7a0db54475_.log 2025-07-17T07:36:39.6969201Z Running 0 items in this shard: 2025-07-17T07:36:39.6969417Z 2025-07-17T07:36:39.6971066Z Running dynamo/cpython/3_13/test_exception_variations 1/1 ... [2025-07-17 07:36:39.696916] 2025-07-17T07:36:39.6971609Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:36:39.6974816Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_exception_variations.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:36:39.697262] 2025-07-17T07:36:42.9167095Z 2025-07-17T07:36:42.9168422Z dynamo/cpython/3_13/test_exception_variations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_exception_variations_1.1_85be6188b8ad9d93_.log 2025-07-17T07:36:42.9169791Z Running 0 items in this shard: 2025-07-17T07:36:42.9170027Z 2025-07-17T07:36:42.9177029Z Running dynamo/cpython/3_13/test_int_literal 1/1 ... [2025-07-17 07:36:42.917491] 2025-07-17T07:36:42.9177543Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:36:42.9180826Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_int_literal.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:36:42.917845] 2025-07-17T07:36:46.1372276Z 2025-07-17T07:36:46.1373346Z dynamo/cpython/3_13/test_int_literal 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_int_literal_1.1_9d1e7c5b612c2096_.log 2025-07-17T07:36:46.1374308Z Running 0 items in this shard: 2025-07-17T07:36:46.1374511Z 2025-07-17T07:36:46.1376354Z Running dynamo/cpython/3_13/test_with 1/1 ... [2025-07-17 07:36:46.137461] 2025-07-17T07:36:46.1376885Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:36:46.1380280Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_with.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:36:46.137807] 2025-07-17T07:36:49.3065078Z 2025-07-17T07:36:49.3066150Z dynamo/cpython/3_13/test_with 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_with_1.1_4f59c00cd2ba6aa1_.log 2025-07-17T07:36:49.3067084Z Running 0 items in this shard: 2025-07-17T07:36:49.3067275Z 2025-07-17T07:36:49.3076292Z Running dynamo/cpython/3_13/test_numeric_tower 1/1 ... [2025-07-17 07:36:49.307350] 2025-07-17T07:36:49.3077144Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:36:49.3081183Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_numeric_tower.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:36:49.307796] 2025-07-17T07:36:52.5769781Z 2025-07-17T07:36:52.5770858Z dynamo/cpython/3_13/test_numeric_tower 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_numeric_tower_1.1_41f3a753c25d46b7_.log 2025-07-17T07:36:52.5771826Z Running 0 items in this shard: 2025-07-17T07:36:52.5772016Z 2025-07-17T07:36:52.5780047Z Running dynamo/cpython/3_13/test_ordered_dict 1/1 ... [2025-07-17 07:36:52.577783] 2025-07-17T07:36:52.5780553Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:36:52.5783594Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_ordered_dict.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:36:52.578126] 2025-07-17T07:36:55.8984301Z 2025-07-17T07:36:55.8985390Z dynamo/cpython/3_13/test_ordered_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_ordered_dict_1.1_1bb84b14ed8be229_.log 2025-07-17T07:36:55.8987252Z Running 0 items in this shard: 2025-07-17T07:36:55.8987703Z 2025-07-17T07:36:55.8994055Z Running dynamo/cpython/3_13/test_baseexception 1/1 ... [2025-07-17 07:36:55.899166] 2025-07-17T07:36:55.8994732Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:36:55.8997897Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_baseexception.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:36:55.899526] 2025-07-17T07:36:59.1687973Z 2025-07-17T07:36:59.1689082Z dynamo/cpython/3_13/test_baseexception 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_baseexception_1.1_dac19f25a60240bf_.log 2025-07-17T07:36:59.1690169Z Running 0 items in this shard: 2025-07-17T07:36:59.1690424Z 2025-07-17T07:36:59.1690860Z Running dynamo/cpython/3_13/test_int 1/1 ... [2025-07-17 07:36:59.168887] 2025-07-17T07:36:59.1691599Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:36:59.1694902Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_int.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:36:59.169219] 2025-07-17T07:37:02.4383554Z 2025-07-17T07:37:02.4384850Z dynamo/cpython/3_13/test_int 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_int_1.1_049ecb0ae204ea4c_.log 2025-07-17T07:37:02.4385778Z Running 0 items in this shard: 2025-07-17T07:37:02.4386036Z 2025-07-17T07:37:02.4387570Z Running dynamo/cpython/3_13/test_itertools 1/1 ... [2025-07-17 07:37:02.438558] 2025-07-17T07:37:02.4388089Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:02.4391315Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_itertools.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:02.438904] 2025-07-17T07:37:05.7585274Z 2025-07-17T07:37:05.7586718Z dynamo/cpython/3_13/test_itertools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_itertools_1.1_e47442f193e005e4_.log 2025-07-17T07:37:05.7587634Z Running 0 items in this shard: 2025-07-17T07:37:05.7587840Z 2025-07-17T07:37:05.7589729Z Running dynamo/cpython/3_13/test_userlist 1/1 ... [2025-07-17 07:37:05.758760] 2025-07-17T07:37:05.7590334Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:05.7593730Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_userlist.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:05.759102] 2025-07-17T07:37:08.9279871Z 2025-07-17T07:37:08.9281215Z dynamo/cpython/3_13/test_userlist 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_userlist_1.1_55b4c42942307965_.log 2025-07-17T07:37:08.9282329Z Running 0 items in this shard: 2025-07-17T07:37:08.9282542Z 2025-07-17T07:37:08.9284197Z Running dynamo/cpython/3_13/test_cmath 1/1 ... [2025-07-17 07:37:08.928226] 2025-07-17T07:37:08.9284883Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:08.9288520Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_cmath.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:08.928565] 2025-07-17T07:37:12.2477544Z 2025-07-17T07:37:12.2478847Z dynamo/cpython/3_13/test_cmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_cmath_1.1_d089122407bb6c94_.log 2025-07-17T07:37:12.2479744Z Running 0 items in this shard: 2025-07-17T07:37:12.2479943Z 2025-07-17T07:37:12.2487070Z Running dynamo/cpython/3_13/test_math 1/1 ... [2025-07-17 07:37:12.248501] 2025-07-17T07:37:12.2487688Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:12.2491037Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_math.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:12.248839] 2025-07-17T07:37:15.5681021Z 2025-07-17T07:37:15.5682145Z dynamo/cpython/3_13/test_math 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_math_1.1_96bfd8c5d5e8f594_.log 2025-07-17T07:37:15.5683036Z Running 0 items in this shard: 2025-07-17T07:37:15.5683250Z 2025-07-17T07:37:15.5689708Z Running dynamo/cpython/3_13/test_operator 1/1 ... [2025-07-17 07:37:15.568797] 2025-07-17T07:37:15.5690183Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:15.5694308Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_operator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:15.569178] 2025-07-17T07:37:18.7883486Z 2025-07-17T07:37:18.7884846Z dynamo/cpython/3_13/test_operator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_operator_1.1_7e87ad7ac3412a9d_.log 2025-07-17T07:37:18.7885758Z Running 0 items in this shard: 2025-07-17T07:37:18.7885950Z 2025-07-17T07:37:18.7892061Z Running dynamo/cpython/3_13/test_userdict 1/1 ... [2025-07-17 07:37:18.788987] 2025-07-17T07:37:18.7892573Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:18.7895964Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_userdict.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:18.789364] 2025-07-17T07:37:22.0593783Z 2025-07-17T07:37:22.0594865Z dynamo/cpython/3_13/test_userdict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_userdict_1.1_ab545270bd73eb0c_.log 2025-07-17T07:37:22.0595772Z Running 0 items in this shard: 2025-07-17T07:37:22.0595971Z 2025-07-17T07:37:22.0606070Z Running dynamo/cpython/3_13/test_set 1/1 ... [2025-07-17 07:37:22.060406] 2025-07-17T07:37:22.0606540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:22.0610011Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_set.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:22.060764] 2025-07-17T07:37:25.3798582Z 2025-07-17T07:37:25.3800367Z dynamo/cpython/3_13/test_set 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_set_1.1_bb622e4bcb4210dc_.log 2025-07-17T07:37:25.3801908Z Running 0 items in this shard: 2025-07-17T07:37:25.3802277Z 2025-07-17T07:37:25.3802897Z Running dynamo/cpython/3_13/test_iter 1/1 ... [2025-07-17 07:37:25.380090] 2025-07-17T07:37:25.3803566Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:25.3807435Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_iter.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:25.380439] 2025-07-17T07:37:28.5502989Z 2025-07-17T07:37:28.5504301Z dynamo/cpython/3_13/test_iter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_iter_1.1_750bf08063c625f0_.log 2025-07-17T07:37:28.5505204Z Running 0 items in this shard: 2025-07-17T07:37:28.5505401Z 2025-07-17T07:37:28.5512157Z Running dynamo/cpython/3_13/test_bool 1/1 ... [2025-07-17 07:37:28.551013] 2025-07-17T07:37:28.5512659Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:28.5515614Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_bool.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:28.551338] 2025-07-17T07:37:31.6197611Z 2025-07-17T07:37:31.6198943Z dynamo/cpython/3_13/test_bool 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_bool_1.1_253b569b673e1ebe_.log 2025-07-17T07:37:31.6199821Z Running 0 items in this shard: 2025-07-17T07:37:31.6200048Z 2025-07-17T07:37:31.6207310Z Running dynamo/cpython/3_13/test_sort 1/1 ... [2025-07-17 07:37:31.620547] 2025-07-17T07:37:31.6207789Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:31.6211157Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_sort.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:31.620890] 2025-07-17T07:37:34.8403384Z 2025-07-17T07:37:34.8404762Z dynamo/cpython/3_13/test_sort 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_sort_1.1_adc04ab03f8887f3_.log 2025-07-17T07:37:34.8405618Z Running 0 items in this shard: 2025-07-17T07:37:34.8405823Z 2025-07-17T07:37:34.8414190Z Running dynamo/cpython/3_13/test_float 1/1 ... [2025-07-17 07:37:34.841204] 2025-07-17T07:37:34.8414850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:34.8418344Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_float.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:34.841561] 2025-07-17T07:37:38.0620698Z 2025-07-17T07:37:38.0621763Z dynamo/cpython/3_13/test_float 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_float_1.1_de45237b04680576_.log 2025-07-17T07:37:38.0622706Z Running 0 items in this shard: 2025-07-17T07:37:38.0622922Z 2025-07-17T07:37:38.0624941Z Running dynamo/cpython/3_13/test_dict 1/1 ... [2025-07-17 07:37:38.062296] 2025-07-17T07:37:38.0627891Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:38.0629015Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_dict.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:38.062646] 2025-07-17T07:37:41.2814310Z 2025-07-17T07:37:41.2815690Z dynamo/cpython/3_13/test_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_dict_1.1_1ddd10b43c33df08_.log 2025-07-17T07:37:41.2817325Z Running 0 items in this shard: 2025-07-17T07:37:41.2817616Z 2025-07-17T07:37:41.2818754Z Running dynamo/cpython/3_13/test_complex 1/1 ... [2025-07-17 07:37:41.281677] 2025-07-17T07:37:41.2819499Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:41.2822704Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_complex.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:41.282010] 2025-07-17T07:37:44.5026225Z 2025-07-17T07:37:44.5027242Z dynamo/cpython/3_13/test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_complex_1.1_b318be67fbd2fbd0_.log 2025-07-17T07:37:44.5028176Z Running 0 items in this shard: 2025-07-17T07:37:44.5028379Z 2025-07-17T07:37:44.5030582Z Running dynamo/cpython/3_13/test_tuple 1/1 ... [2025-07-17 07:37:44.502887] 2025-07-17T07:37:44.5031054Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:44.5035031Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_tuple.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:44.503254] 2025-07-17T07:37:47.7221239Z 2025-07-17T07:37:47.7222913Z dynamo/cpython/3_13/test_tuple 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_tuple_1.1_c0b65996b4e202b2_.log 2025-07-17T07:37:47.7224475Z Running 0 items in this shard: 2025-07-17T07:37:47.7224780Z 2025-07-17T07:37:47.7238219Z Running test_package 1/1 ... [2025-07-17 07:37:47.723629] 2025-07-17T07:37:47.7238815Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:47.7243080Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:47.724060] 2025-07-17T07:37:51.1440242Z 2025-07-17T07:37:51.1441595Z test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_package_1.1_eead8215af4dd89c_.log 2025-07-17T07:37:51.1442882Z Running 0 items in this shard: 2025-07-17T07:37:51.1443236Z 2025-07-17T07:37:51.1445981Z Running test_decomp 1/1 ... [2025-07-17 07:37:51.144398] 2025-07-17T07:37:51.1446574Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:51.1451234Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:51.144804] 2025-07-17T07:37:57.0682880Z 2025-07-17T07:37:57.0683966Z test_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.1_ada5758cb46b2c14_.log 2025-07-17T07:37:57.0684745Z Running 0 items in this shard: 2025-07-17T07:37:57.0684973Z 2025-07-17T07:37:57.0687156Z Running test_autoload 1/1 ... [2025-07-17 07:37:57.068529] 2025-07-17T07:37:57.0687575Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:37:57.0691155Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autoload.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:37:57.068881] 2025-07-17T07:38:00.3384272Z 2025-07-17T07:38:00.3385383Z test_autoload 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autoload_1.1_e10ad9898df90204_.log 2025-07-17T07:38:00.3386107Z Running 0 items in this shard: 2025-07-17T07:38:00.3386308Z 2025-07-17T07:38:00.3388510Z Running export/test_retraceability 1/1 ... [2025-07-17 07:38:00.338616] 2025-07-17T07:38:00.3389098Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:38:00.3392183Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_retraceability.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:38:00.338976] 2025-07-17T07:38:07.0383677Z 2025-07-17T07:38:07.0384667Z export/test_retraceability 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_retraceability_1.1_4da06690f06f5ae7_.log 2025-07-17T07:38:07.0385426Z 2025-07-17T07:38:07.0387785Z Running test_utils_config_module 1/1 ... [2025-07-17 07:38:07.038612] 2025-07-17T07:38:07.0388433Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:38:07.0392175Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_utils_config_module.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:38:07.038980] 2025-07-17T07:38:10.3080280Z 2025-07-17T07:38:10.3081680Z test_utils_config_module 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_config_module_1.1_8f4f6c5e6400bf8e_.log 2025-07-17T07:38:10.3083153Z Running 0 items in this shard: 2025-07-17T07:38:10.3083504Z 2025-07-17T07:38:10.3093228Z Running test_mkl_verbose 1/1 ... [2025-07-17 07:38:10.309116] 2025-07-17T07:38:10.3093852Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:38:10.3098440Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkl_verbose.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:38:10.309535] 2025-07-17T07:38:13.6299377Z 2025-07-17T07:38:13.6300278Z test_mkl_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkl_verbose_1.1_7cba6149c3a80871_.log 2025-07-17T07:38:13.6301006Z Running 0 items in this shard: 2025-07-17T07:38:13.6301214Z 2025-07-17T07:38:13.6306586Z Running inductor/test_triton_extension_backend 1/1 ... [2025-07-17 07:38:13.630490] 2025-07-17T07:38:13.6307114Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:38:13.6310774Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:38:13.630854] 2025-07-17T07:38:20.7598999Z 2025-07-17T07:38:20.7600069Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_36f4aeabfb81818e_.log 2025-07-17T07:38:20.7600949Z 2025-07-17T07:38:20.7602598Z Running dynamo/test_deque_reconstruct 1/1 ... [2025-07-17 07:38:20.760109] 2025-07-17T07:38:20.7603065Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:38:20.7606472Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_deque_reconstruct.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:38:20.760439] 2025-07-17T07:38:23.8101535Z 2025-07-17T07:38:23.8102531Z dynamo/test_deque_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deque_reconstruct_1.1_cfab0de00f6976f2_.log 2025-07-17T07:38:23.8103381Z 2025-07-17T07:38:23.8110547Z Running test_license 1/1 ... [2025-07-17 07:38:23.810890] 2025-07-17T07:38:23.8110976Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:38:23.8114461Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_license.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:38:23.811228] 2025-07-17T07:38:26.9299941Z 2025-07-17T07:38:26.9301224Z test_license 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_license_1.1_62e1e9037841e09a_.log 2025-07-17T07:38:26.9302019Z Running 0 items in this shard: 2025-07-17T07:38:26.9302287Z 2025-07-17T07:38:26.9303677Z Running inductor/test_cpp_wrapper_hipify 1/1 ... [2025-07-17 07:38:26.930185] 2025-07-17T07:38:26.9304215Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:38:26.9307485Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpp_wrapper_hipify.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:38:26.930520] 2025-07-17T07:38:29.9125254Z 2025-07-17T07:38:29.9126649Z inductor/test_cpp_wrapper_hipify 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpp_wrapper_hipify_1.1_3f329dd8710ea35f_.log 2025-07-17T07:38:29.9127448Z 2025-07-17T07:38:29.9129448Z Running inductor/test_external_callables 1/1 ... [2025-07-17 07:38:29.912723] 2025-07-17T07:38:29.9129987Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:38:29.9132891Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_external_callables.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:38:29.913057] 2025-07-17T07:38:32.8762945Z 2025-07-17T07:38:32.8764079Z inductor/test_external_callables 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_external_callables_1.1_1b31a2fbcb1f6784_.log 2025-07-17T07:38:32.8765091Z 2025-07-17T07:38:32.8766743Z Running test_mkldnn_verbose 1/1 ... [2025-07-17 07:38:32.876509] 2025-07-17T07:38:32.8767235Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:38:32.8771113Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn_verbose.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:38:32.876839] 2025-07-17T07:38:36.0462148Z 2025-07-17T07:38:36.0463069Z test_mkldnn_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_verbose_1.1_da5c27559a74eb37_.log 2025-07-17T07:38:36.0463893Z Running 0 items in this shard: 2025-07-17T07:38:36.0464102Z 2025-07-17T07:38:36.0466078Z Running export/test_serdes 1/1 ... [2025-07-17 07:38:36.046445] 2025-07-17T07:38:36.0466560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:38:36.0470522Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_serdes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:38:36.046777] 2025-07-17T07:38:42.6049881Z 2025-07-17T07:38:42.6050853Z export/test_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serdes_1.1_91d9851cd4991eff_.log 2025-07-17T07:38:42.6051578Z 2025-07-17T07:38:42.6058865Z Running dynamo/test_recompiles 1/1 ... [2025-07-17 07:38:42.605717] 2025-07-17T07:38:42.6059438Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:38:42.6063189Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_recompiles.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:38:42.606090] 2025-07-17T07:38:45.9048155Z 2025-07-17T07:38:45.9049644Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_e1e1ed942f60c892_.log 2025-07-17T07:38:45.9050362Z 2025-07-17T07:38:45.9052485Z Running dynamo/cpython/3_13/test_unittest/test_assertions 1/1 ... [2025-07-17 07:38:45.905023] 2025-07-17T07:38:45.9053052Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:38:45.9056582Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_unittest/test_assertions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:38:45.905361] 2025-07-17T07:38:49.1752375Z 2025-07-17T07:38:49.1753532Z dynamo/cpython/3_13/test_unittest/test_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_unittest.test_assertions_1.1_6ffc336e544b456d_.log 2025-07-17T07:38:49.1754626Z Running 0 items in this shard: 2025-07-17T07:38:49.1754853Z 2025-07-17T07:38:49.1756611Z Running test_comparison_utils 1/1 ... [2025-07-17 07:38:49.175450] 2025-07-17T07:38:49.1757166Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:38:49.1760320Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_comparison_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:38:49.175792] 2025-07-17T07:38:52.4449500Z 2025-07-17T07:38:52.4450610Z test_comparison_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_comparison_utils_1.1_d25c1a9595669114_.log 2025-07-17T07:38:52.4451515Z Running 0 items in this shard: 2025-07-17T07:38:52.4451729Z 2025-07-17T07:38:52.4454559Z Running test_ops 1/8 ... [2025-07-17 07:38:52.445247] 2025-07-17T07:38:52.4454932Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:38:52.4459480Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:38:52.445682] 2025-07-17T07:39:06.4315349Z 2025-07-17T07:39:06.4316443Z test_ops 1/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.8_63fa59ed1cb6beb3_.log 2025-07-17T07:39:06.4317130Z Running 0 items in this shard: 2025-07-17T07:39:06.4317320Z 2025-07-17T07:39:06.4318997Z Running test_ops 3/8 ... [2025-07-17 07:39:06.431716] 2025-07-17T07:39:06.4319634Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:39:06.4322932Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=3', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:39:06.432039] 2025-07-17T07:39:20.4666772Z 2025-07-17T07:39:20.4667703Z test_ops 3/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_3.8_cc3bbd8dd65ebf17_.log 2025-07-17T07:39:20.4668389Z Running 0 items in this shard: 2025-07-17T07:39:20.4668581Z 2025-07-17T07:39:20.4670742Z Running test_ops 6/8 ... [2025-07-17 07:39:20.466877] 2025-07-17T07:39:20.4671149Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:39:20.4674831Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=6', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:39:20.467261] 2025-07-17T07:39:34.3514668Z 2025-07-17T07:39:34.3515473Z test_ops 6/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_6.8_dd6074cbe30b328d_.log 2025-07-17T07:39:34.3516416Z Running 0 items in this shard: 2025-07-17T07:39:34.3516608Z 2025-07-17T07:39:34.3519290Z Running test_ops 7/8 ... [2025-07-17 07:39:34.351734] 2025-07-17T07:39:34.3519682Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:39:34.3523533Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=7', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:39:34.352109] 2025-07-17T07:39:48.4362108Z 2025-07-17T07:39:48.4363269Z test_ops 7/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_7.8_5e2d4d15537c637f_.log 2025-07-17T07:39:48.4364480Z Running 0 items in this shard: 2025-07-17T07:39:48.4364839Z 2025-07-17T07:39:48.4367586Z Running dynamo/test_base_output 1/1 ... [2025-07-17 07:39:48.436549] 2025-07-17T07:39:48.4368315Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:39:48.4373650Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_base_output.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:39:48.437023] 2025-07-17T07:39:51.6634114Z 2025-07-17T07:39:51.6635387Z dynamo/test_base_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_output_1.1_3d4c896ee5f456f1_.log 2025-07-17T07:39:51.6636109Z 2025-07-17T07:39:51.6643961Z Running inductor/test_kernel_benchmark 1/1 ... [2025-07-17 07:39:51.664191] 2025-07-17T07:39:51.6644635Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:39:51.6648188Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_kernel_benchmark.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:39:51.664543] 2025-07-17T07:39:58.2600157Z 2025-07-17T07:39:58.2601437Z inductor/test_kernel_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_benchmark_1.1_19665af8e721dd0f_.log 2025-07-17T07:39:58.2602498Z 2025-07-17T07:39:58.2604154Z Running inductor/test_triton_cpu_backend 1/1 ... [2025-07-17 07:39:58.260222] 2025-07-17T07:39:58.2604637Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:39:58.2607948Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_cpu_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:39:58.260561] 2025-07-17T07:40:05.2295105Z 2025-07-17T07:40:05.2296288Z inductor/test_triton_cpu_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_cpu_backend_1.1_7109f9efb21cfab9_.log 2025-07-17T07:40:05.2297091Z 2025-07-17T07:40:05.2299289Z Running export/test_functionalized_assertions 1/1 ... [2025-07-17 07:40:05.229730] 2025-07-17T07:40:05.2299812Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:40:05.2303196Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_functionalized_assertions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:40:05.230093] 2025-07-17T07:40:08.4490835Z 2025-07-17T07:40:08.4492008Z export/test_functionalized_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_functionalized_assertions_1.1_8e5630df8e143e61_.log 2025-07-17T07:40:08.4492952Z Running 0 items in this shard: 2025-07-17T07:40:08.4493144Z 2025-07-17T07:40:08.4494933Z Running inductor/test_analysis 1/1 ... [2025-07-17 07:40:08.449318] 2025-07-17T07:40:08.4495600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:40:08.4499414Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_analysis.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:40:08.449667] 2025-07-17T07:40:15.3240978Z 2025-07-17T07:40:15.3242704Z inductor/test_analysis 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_analysis_1.1_2f6ead3aca5fa47c_.log 2025-07-17T07:40:15.3243570Z Running 0 items in this shard: 2025-07-17T07:40:15.3243760Z 2025-07-17T07:40:15.3245482Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-07-17 07:40:15.324348] 2025-07-17T07:40:15.3245941Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:40:15.3249568Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:40:15.324734] 2025-07-17T07:40:22.8119840Z 2025-07-17T07:40:22.8121187Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_1bb130152b871f63_.log 2025-07-17T07:40:22.8121953Z 2025-07-17T07:40:22.8130753Z Running inductor/test_compiled_autograd 1/1 ... [2025-07-17 07:40:22.812833] 2025-07-17T07:40:22.8131402Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:40:22.8134444Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_compiled_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:40:22.813192] 2025-07-17T07:40:30.4439274Z 2025-07-17T07:40:30.4440350Z inductor/test_compiled_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_1.1_6c618e67bf69a1bb_.log 2025-07-17T07:40:30.4441216Z 2025-07-17T07:40:30.4442959Z Running typing/test_python_operators 1/1 ... [2025-07-17 07:40:30.444106] 2025-07-17T07:40:30.4443428Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:40:30.4453974Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'typing/test_python_operators.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:40:30.445161] 2025-07-17T07:40:33.5656511Z 2025-07-17T07:40:33.5657516Z typing/test_python_operators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/typing.test_python_operators_1.1_3748625c65e749fc_.log 2025-07-17T07:40:33.5658386Z Running 0 items in this shard: 2025-07-17T07:40:33.5658595Z 2025-07-17T07:40:33.5666221Z Running torch_np/test_nep50_examples 1/1 ... [2025-07-17 07:40:33.566423] 2025-07-17T07:40:33.5666697Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:40:33.5669997Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_nep50_examples.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:40:33.566773] 2025-07-17T07:40:36.8368442Z 2025-07-17T07:40:36.8369798Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_f6e37819b2f1603a_.log 2025-07-17T07:40:36.8370666Z Running 0 items in this shard: 2025-07-17T07:40:36.8370858Z 2025-07-17T07:40:36.8372855Z Running inductor/test_best_config 1/1 ... [2025-07-17 07:40:36.837116] 2025-07-17T07:40:36.8373354Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:40:36.8377282Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_best_config.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:40:36.837490] 2025-07-17T07:40:43.3941004Z 2025-07-17T07:40:43.3942906Z inductor/test_best_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_best_config_1.1_d94420e3dcf9dcde_.log 2025-07-17T07:40:43.3943673Z 2025-07-17T07:40:43.3945680Z Running inductor/test_compile_worker 1/1 ... [2025-07-17 07:40:43.394356] 2025-07-17T07:40:43.3946760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:40:43.3949715Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_compile_worker.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:40:43.394714] 2025-07-17T07:40:49.9732863Z 2025-07-17T07:40:49.9733886Z inductor/test_compile_worker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_worker_1.1_b5aa0a70752ab303_.log 2025-07-17T07:40:49.9734659Z 2025-07-17T07:40:49.9737005Z Running test_ops_jit 1/2 ... [2025-07-17 07:40:49.973505] 2025-07-17T07:40:49.9737506Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:40:49.9740965Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_jit.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:40:49.973859] 2025-07-17T07:40:54.3942829Z 2025-07-17T07:40:54.3943758Z test_ops_jit 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.2_031a87c63eec2173_.log 2025-07-17T07:40:54.3944739Z Running 0 items in this shard: 2025-07-17T07:40:54.3944932Z 2025-07-17T07:40:54.3947851Z Running inductor/test_triton_wrapper 1/1 ... [2025-07-17 07:40:54.394529] 2025-07-17T07:40:54.3948643Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:40:54.3951868Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:40:54.394888] 2025-07-17T07:41:01.0273166Z 2025-07-17T07:41:01.0274181Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_4ddf694981676fd3_.log 2025-07-17T07:41:01.0274942Z 2025-07-17T07:41:01.0277325Z Running inductor/test_aot_inductor_package 1/1 ... [2025-07-17 07:41:01.027550] 2025-07-17T07:41:01.0277954Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:41:01.0281460Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:41:01.027907] 2025-07-17T07:41:07.5921262Z 2025-07-17T07:41:07.5922183Z inductor/test_aot_inductor_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_package_1.1_df7e84c2cb4e8a92_.log 2025-07-17T07:41:07.5923001Z 2025-07-17T07:41:07.5925717Z Running inductor/test_move_constructors_to_cuda 1/1 ... [2025-07-17 07:41:07.592397] 2025-07-17T07:41:07.5926250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:41:07.5929812Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_move_constructors_to_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:41:07.592747] 2025-07-17T07:41:14.1351080Z 2025-07-17T07:41:14.1352290Z inductor/test_move_constructors_to_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_cuda_1.1_f69b4f8f060a4d5a_.log 2025-07-17T07:41:14.1353215Z 2025-07-17T07:41:14.1356414Z Running inductor/test_async_compile 1/1 ... [2025-07-17 07:41:14.135319] 2025-07-17T07:41:14.1356950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:41:14.1359114Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_async_compile.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:41:14.135651] 2025-07-17T07:41:20.6023447Z 2025-07-17T07:41:20.6024426Z inductor/test_async_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_async_compile_1.1_23906a120b90bbf4_.log 2025-07-17T07:41:20.6025191Z 2025-07-17T07:41:20.6028099Z Running dynamo/test_skip_non_tensor 1/1 ... [2025-07-17 07:41:20.602583] 2025-07-17T07:41:20.6028558Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:41:20.6031554Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_skip_non_tensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:41:20.602936] 2025-07-17T07:41:23.8460350Z 2025-07-17T07:41:23.8461488Z dynamo/test_skip_non_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_non_tensor_1.1_ae41e4899e86ac66_.log 2025-07-17T07:41:23.8462241Z 2025-07-17T07:41:23.8464325Z Running inductor/test_torchinductor 1/1 ... [2025-07-17 07:41:23.846264] 2025-07-17T07:41:23.8464800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:41:23.8468993Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_torchinductor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:41:23.846670] 2025-07-17T07:41:30.7528606Z 2025-07-17T07:41:30.7529746Z inductor/test_torchinductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_1.1_3b6882d7977bc43b_.log 2025-07-17T07:41:30.7530521Z 2025-07-17T07:41:30.7532998Z Running dynamo/test_buffers_override 1/1 ... [2025-07-17 07:41:30.753126] 2025-07-17T07:41:30.7533475Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:41:30.7537301Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_buffers_override.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:41:30.753482] 2025-07-17T07:41:33.7329769Z 2025-07-17T07:41:33.7330736Z dynamo/test_buffers_override 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_buffers_override_1.1_608ffe9a687d80b3_.log 2025-07-17T07:41:33.7331504Z 2025-07-17T07:41:33.7333823Z Running dynamo/test_resume 1/1 ... [2025-07-17 07:41:33.733198] 2025-07-17T07:41:33.7334317Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:41:33.7337719Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_resume.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:41:33.733549] 2025-07-17T07:41:36.7535887Z 2025-07-17T07:41:36.7537113Z dynamo/test_resume 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_resume_1.1_e0f5cfa2d4535a81_.log 2025-07-17T07:41:36.7537788Z 2025-07-17T07:41:36.7539666Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-07-17 07:41:36.753780] 2025-07-17T07:41:36.7540486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:41:36.7544311Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:41:36.754127] 2025-07-17T07:41:43.2111207Z 2025-07-17T07:41:43.2112883Z inductor/test_coordinate_descent_tuner 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_coordinate_descent_tuner_1.1_ea82aa3d76e041c7_.log 2025-07-17T07:41:43.2114156Z 2025-07-17T07:41:43.2114506Z Running inductor/test_combo_kernels 1/1 ... [2025-07-17 07:41:43.211238] 2025-07-17T07:41:43.2115045Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:41:43.2118941Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_combo_kernels.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:41:43.211593] 2025-07-17T07:41:50.2376482Z 2025-07-17T07:41:50.2377488Z inductor/test_combo_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_combo_kernels_1.1_d8efb7c111e3dd26_.log 2025-07-17T07:41:50.2378256Z 2025-07-17T07:41:50.2379833Z Running test_proxy_tensor 2/2 ... [2025-07-17 07:41:50.237808] 2025-07-17T07:41:50.2380382Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:41:50.2390107Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_proxy_tensor.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:41:50.238771] 2025-07-17T07:41:55.8121627Z 2025-07-17T07:41:55.8122481Z test_proxy_tensor 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_proxy_tensor_2.2_4f18e13f20cc342b_.log 2025-07-17T07:41:55.8123254Z Running 0 items in this shard: 2025-07-17T07:41:55.8123445Z 2025-07-17T07:41:55.8130673Z Running inductor/test_minifier_utils 1/1 ... [2025-07-17 07:41:55.812914] 2025-07-17T07:41:55.8131343Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:41:55.8134692Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_minifier_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:41:55.813249] 2025-07-17T07:41:59.2825764Z 2025-07-17T07:41:59.2826730Z inductor/test_minifier_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_utils_1.1_d000fc317704b2cf_.log 2025-07-17T07:41:59.2827609Z Running 0 items in this shard: 2025-07-17T07:41:59.2827801Z 2025-07-17T07:41:59.2829481Z Running dynamo/test_modules 1/1 ... [2025-07-17 07:41:59.282782] 2025-07-17T07:41:59.2829922Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:41:59.2833434Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:41:59.283128] 2025-07-17T07:42:05.9425415Z 2025-07-17T07:42:05.9426321Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_49c0e0f9ddff306e_.log 2025-07-17T07:42:05.9427031Z 2025-07-17T07:42:05.9429057Z Running inductor/test_kernel_optimization 1/1 ... [2025-07-17 07:42:05.942752] 2025-07-17T07:42:05.9429580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:42:05.9432909Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_kernel_optimization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:42:05.943077] 2025-07-17T07:42:12.5238346Z 2025-07-17T07:42:12.5239696Z inductor/test_kernel_optimization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_optimization_1.1_9ed14f349ad95aea_.log 2025-07-17T07:42:12.5240517Z 2025-07-17T07:42:12.5242028Z Running dynamo/test_sdpa 1/1 ... [2025-07-17 07:42:12.524042] 2025-07-17T07:42:12.5242431Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:42:12.5246040Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_sdpa.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:42:12.524387] 2025-07-17T07:42:15.7840182Z 2025-07-17T07:42:15.7841076Z dynamo/test_sdpa 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sdpa_1.1_c8e16cfcb28e6b8f_.log 2025-07-17T07:42:15.7841743Z 2025-07-17T07:42:15.7844158Z Running inductor/test_foreach 1/1 ... [2025-07-17 07:42:15.784243] 2025-07-17T07:42:15.7844588Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:42:15.7848356Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_foreach.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:42:15.784616] 2025-07-17T07:42:22.9139507Z 2025-07-17T07:42:22.9140654Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_810da67c96a67cf6_.log 2025-07-17T07:42:22.9141357Z 2025-07-17T07:42:22.9143566Z Running dynamo/test_utils 1/1 ... [2025-07-17 07:42:22.914180] 2025-07-17T07:42:22.9143979Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:42:22.9147393Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:42:22.914523] 2025-07-17T07:42:25.9134984Z 2025-07-17T07:42:25.9135914Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_1d24f627b482177e_.log 2025-07-17T07:42:25.9136559Z 2025-07-17T07:42:25.9138791Z Running dynamo/test_frame_init 1/1 ... [2025-07-17 07:42:25.913675] 2025-07-17T07:42:25.9139338Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:42:25.9142284Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_frame_init.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:42:25.914010] 2025-07-17T07:42:28.9028692Z 2025-07-17T07:42:28.9029685Z dynamo/test_frame_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_frame_init_1.1_14fc73a3fa8a6180_.log 2025-07-17T07:42:28.9030453Z 2025-07-17T07:42:28.9032310Z Running profiler/test_kineto 1/1 ... [2025-07-17 07:42:28.903060] 2025-07-17T07:42:28.9032735Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:42:28.9036133Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_kineto.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:42:28.903378] 2025-07-17T07:42:31.9717478Z 2025-07-17T07:42:31.9718499Z profiler/test_kineto 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_kineto_1.1_103ea92ef2a8fe4b_.log 2025-07-17T07:42:31.9719303Z Running 0 items in this shard: 2025-07-17T07:42:31.9719495Z 2025-07-17T07:42:31.9727611Z Running test_fx_experimental 1/1 ... [2025-07-17 07:42:31.972598] 2025-07-17T07:42:31.9728248Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:42:31.9731604Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx_experimental.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:42:31.972935] 2025-07-17T07:42:36.4935447Z 2025-07-17T07:42:36.4936689Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_e97319bc8ea44151_.log 2025-07-17T07:42:36.4937507Z Running 0 items in this shard: 2025-07-17T07:42:36.4937704Z 2025-07-17T07:42:36.4939097Z Running test_flop_counter 1/1 ... [2025-07-17 07:42:36.493762] 2025-07-17T07:42:36.4939569Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:42:36.4943065Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_flop_counter.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:42:36.494097] 2025-07-17T07:42:39.8137303Z 2025-07-17T07:42:39.8138193Z test_flop_counter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_flop_counter_1.1_385b04f3af8bfaf0_.log 2025-07-17T07:42:39.8139008Z Running 0 items in this shard: 2025-07-17T07:42:39.8139318Z 2025-07-17T07:42:39.8142254Z Running test_typing 1/1 ... [2025-07-17 07:42:39.814007] 2025-07-17T07:42:39.8142675Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:42:39.8145724Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_typing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:42:39.814345] 2025-07-17T07:42:42.9831145Z 2025-07-17T07:42:42.9832035Z test_typing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_typing_1.1_8bdf74aaedea9a7f_.log 2025-07-17T07:42:42.9832796Z Running 0 items in this shard: 2025-07-17T07:42:42.9833060Z 2025-07-17T07:42:42.9835043Z Running inductor/test_fx_fusion 1/1 ... [2025-07-17 07:42:42.983336] 2025-07-17T07:42:42.9835561Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:42:42.9839122Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fx_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:42:42.983677] 2025-07-17T07:42:46.9022224Z 2025-07-17T07:42:46.9023157Z inductor/test_fx_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fx_fusion_1.1_0c05d6135faaf961_.log 2025-07-17T07:42:46.9023852Z 2025-07-17T07:42:46.9025769Z Running test_meta 1/1 ... [2025-07-17 07:42:46.902427] 2025-07-17T07:42:46.9026173Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:42:46.9029743Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_meta.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:42:46.902768] 2025-07-17T07:42:57.9822181Z 2025-07-17T07:42:57.9823287Z test_meta 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.1_2eddc456f8bb9734_.log 2025-07-17T07:42:57.9824368Z Running 0 items in this shard: 2025-07-17T07:42:57.9824721Z 2025-07-17T07:42:57.9827043Z Running test_functionalization 1/1 ... [2025-07-17 07:42:57.982472] 2025-07-17T07:42:57.9827765Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:42:57.9831501Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functionalization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:42:57.982839] 2025-07-17T07:43:01.2023337Z 2025-07-17T07:43:01.2024267Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_d1e820d367b098b6_.log 2025-07-17T07:43:01.2025282Z Running 0 items in this shard: 2025-07-17T07:43:01.2025577Z 2025-07-17T07:43:01.2026496Z Running test_utils_filelock 1/1 ... [2025-07-17 07:43:01.202473] 2025-07-17T07:43:01.2026932Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:43:01.2030173Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_utils_filelock.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:43:01.202798] 2025-07-17T07:43:04.4216989Z 2025-07-17T07:43:04.4217923Z test_utils_filelock 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_filelock_1.1_b904c67b2520c865_.log 2025-07-17T07:43:04.4218975Z Running 0 items in this shard: 2025-07-17T07:43:04.4219290Z 2025-07-17T07:43:04.4221592Z Running dynamo/test_pre_dispatch 1/1 ... [2025-07-17 07:43:04.421905] 2025-07-17T07:43:04.4222160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:43:04.4225222Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_pre_dispatch.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:43:04.422277] 2025-07-17T07:43:07.5371223Z 2025-07-17T07:43:07.5372738Z dynamo/test_pre_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pre_dispatch_1.1_3da695189700ace7_.log 2025-07-17T07:43:07.5373953Z 2025-07-17T07:43:07.5374261Z Running export/test_export 1/1 ... [2025-07-17 07:43:07.537139] 2025-07-17T07:43:07.5374925Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:43:07.5379062Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:43:07.537582] 2025-07-17T07:43:14.5133017Z 2025-07-17T07:43:14.5133931Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_25e47245f59340ce_.log 2025-07-17T07:43:14.5134702Z Running 0 items in this shard: 2025-07-17T07:43:14.5134905Z 2025-07-17T07:43:14.5141787Z Running export/test_tools 1/1 ... [2025-07-17 07:43:14.513988] 2025-07-17T07:43:14.5142215Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:43:14.5145584Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_tools.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:43:14.514348] 2025-07-17T07:43:17.8332630Z 2025-07-17T07:43:17.8333509Z export/test_tools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tools_1.1_be3e563900cbd3f7_.log 2025-07-17T07:43:17.8334309Z Running 0 items in this shard: 2025-07-17T07:43:17.8334514Z 2025-07-17T07:43:17.8336406Z Running inductor/test_torchinductor_opinfo 1/1 ... [2025-07-17 07:43:17.833457] 2025-07-17T07:43:17.8336906Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:43:17.8340352Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:43:17.833794] 2025-07-17T07:43:25.8118259Z 2025-07-17T07:43:25.8119580Z inductor/test_torchinductor_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_1.1_090e883052c49b35_.log 2025-07-17T07:43:25.8120745Z 2025-07-17T07:43:25.8122225Z Running inductor/test_static_cuda_launcher 1/1 ... [2025-07-17 07:43:25.812030] 2025-07-17T07:43:25.8122732Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:43:25.8125889Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_static_cuda_launcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:43:25.812349] 2025-07-17T07:43:32.0864916Z 2025-07-17T07:43:32.0866332Z inductor/test_static_cuda_launcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_static_cuda_launcher_1.1_6c1eedcd3f562bc4_.log 2025-07-17T07:43:32.0867127Z 2025-07-17T07:43:32.0868500Z Running inductor/test_utils 1/1 ... [2025-07-17 07:43:32.086691] 2025-07-17T07:43:32.0868983Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:43:32.0872651Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:43:32.087038] 2025-07-17T07:43:35.2064386Z 2025-07-17T07:43:35.2065384Z inductor/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_utils_1.1_f841640d05446c8d_.log 2025-07-17T07:43:35.2066877Z Running 0 items in this shard: 2025-07-17T07:43:35.2067132Z 2025-07-17T07:43:35.2069613Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-07-17 07:43:35.206735] 2025-07-17T07:43:35.2070276Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:43:35.2074147Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:43:35.207150] 2025-07-17T07:43:38.3499097Z 2025-07-17T07:43:38.3501330Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_7b039ac75b9685f5_.log 2025-07-17T07:43:38.3503365Z Running 0 items in this shard: 2025-07-17T07:43:38.3503708Z 2025-07-17T07:43:38.3504351Z Running inductor/test_subgraph_choice 1/1 ... [2025-07-17 07:43:38.350234] 2025-07-17T07:43:38.3504853Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:43:38.3508591Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_subgraph_choice.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:43:38.350640] 2025-07-17T07:43:44.9330540Z 2025-07-17T07:43:44.9331547Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_3bed25f4aeafe29e_.log 2025-07-17T07:43:44.9332334Z 2025-07-17T07:43:44.9340399Z Running dynamo/test_dicts 1/1 ... [2025-07-17 07:43:44.933856] 2025-07-17T07:43:44.9341072Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:43:44.9344768Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_dicts.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:43:44.934229] 2025-07-17T07:43:48.1491050Z 2025-07-17T07:43:48.1491910Z dynamo/test_dicts 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dicts_1.1_9f6b3d03d1cae87a_.log 2025-07-17T07:43:48.1492818Z 2025-07-17T07:43:48.1496437Z Running dynamo/test_dynamic_shapes 1/1 ... [2025-07-17 07:43:48.149273] 2025-07-17T07:43:48.1497061Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:43:48.1498432Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:43:48.149594] 2025-07-17T07:43:56.1293285Z 2025-07-17T07:43:56.1295245Z dynamo/test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_1.1_c9e2807c25af00ba_.log 2025-07-17T07:43:56.1296392Z 2025-07-17T07:43:56.1304181Z Running test_pytree 1/1 ... [2025-07-17 07:43:56.130242] 2025-07-17T07:43:56.1304767Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:43:56.1309708Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_pytree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:43:56.130661] 2025-07-17T07:43:59.4004438Z 2025-07-17T07:43:59.4005466Z test_pytree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pytree_1.1_f7c1fd5695dd29ac_.log 2025-07-17T07:43:59.4009150Z Running 0 items in this shard: 2025-07-17T07:43:59.4009514Z 2025-07-17T07:43:59.4014824Z Running higher_order_ops/test_with_effects 1/1 ... [2025-07-17 07:43:59.401287] 2025-07-17T07:43:59.4015591Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:43:59.4020674Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'higher_order_ops/test_with_effects.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:43:59.401720] 2025-07-17T07:44:03.2222968Z 2025-07-17T07:44:03.2224748Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_7d67f4f705817c23_.log 2025-07-17T07:44:03.2226555Z Running 0 items in this shard: 2025-07-17T07:44:03.2226836Z 2025-07-17T07:44:03.2228651Z Running dynamo/test_fx_graph_runnable 1/1 ... [2025-07-17 07:44:03.222648] 2025-07-17T07:44:03.2229368Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:44:03.2234076Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_fx_graph_runnable.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:44:03.223087] 2025-07-17T07:44:06.4891558Z 2025-07-17T07:44:06.4893090Z dynamo/test_fx_graph_runnable 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_graph_runnable_1.1_baaf27d7dbfeab52_.log 2025-07-17T07:44:06.4894518Z 2025-07-17T07:44:06.4896317Z Running test_openmp 1/1 ... [2025-07-17 07:44:06.489448] 2025-07-17T07:44:06.4896916Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:44:06.4901830Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_openmp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:44:06.489864] 2025-07-17T07:44:09.8107543Z 2025-07-17T07:44:09.8108810Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_008c177d5fc28790_.log 2025-07-17T07:44:09.8110096Z Running 0 items in this shard: 2025-07-17T07:44:09.8110394Z 2025-07-17T07:44:09.8118383Z Running inductor/test_compiled_optimizers 1/1 ... [2025-07-17 07:44:09.811614] 2025-07-17T07:44:09.8119182Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:44:09.8123408Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_compiled_optimizers.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:44:09.812020] 2025-07-17T07:44:17.8902361Z 2025-07-17T07:44:17.8903600Z inductor/test_compiled_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_1.1_3e440b147bcd26cd_.log 2025-07-17T07:44:17.8904427Z 2025-07-17T07:44:17.8906801Z Running inductor/test_minifier 1/1 ... [2025-07-17 07:44:17.890462] 2025-07-17T07:44:17.8907265Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:44:17.8909989Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:44:17.890788] 2025-07-17T07:44:24.3768325Z 2025-07-17T07:44:24.3769244Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_bac5723e2b852a3b_.log 2025-07-17T07:44:24.3770187Z 2025-07-17T07:44:24.3772492Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-07-17 07:44:24.377075] 2025-07-17T07:44:24.3773030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:44:24.3776794Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_ufuncs_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:44:24.377446] 2025-07-17T07:44:27.4459848Z 2025-07-17T07:44:27.4460579Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_0878684321efa457_.log 2025-07-17T07:44:27.4461451Z Running 0 items in this shard: 2025-07-17T07:44:27.4461660Z 2025-07-17T07:44:27.4464166Z Running test_compile_benchmark_util 1/1 ... [2025-07-17 07:44:27.446265] 2025-07-17T07:44:27.4464619Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:44:27.4468710Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_compile_benchmark_util.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:44:27.446628] 2025-07-17T07:44:30.4655745Z 2025-07-17T07:44:30.4656740Z test_compile_benchmark_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_compile_benchmark_util_1.1_672c9b3865d93e89_.log 2025-07-17T07:44:30.4657594Z Running 0 items in this shard: 2025-07-17T07:44:30.4657782Z 2025-07-17T07:44:30.4660178Z Running export/test_passes 1/1 ... [2025-07-17 07:44:30.465828] 2025-07-17T07:44:30.4660604Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:44:30.4664238Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:44:30.466194] 2025-07-17T07:44:34.3857605Z 2025-07-17T07:44:34.3858793Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_45c2670428606d4c_.log 2025-07-17T07:44:34.3860213Z Running 0 items in this shard: 2025-07-17T07:44:34.3860442Z 2025-07-17T07:44:34.3868139Z Running inductor/test_helion_kernels 1/1 ... [2025-07-17 07:44:34.386624] 2025-07-17T07:44:34.3868665Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:44:34.3872251Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_helion_kernels.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:44:34.386994] 2025-07-17T07:44:40.9605316Z 2025-07-17T07:44:40.9606278Z inductor/test_helion_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_helion_kernels_1.1_8c98d3ad6a0a94ff_.log 2025-07-17T07:44:40.9607067Z 2025-07-17T07:44:40.9609178Z Running torch_np/test_random 1/1 ... [2025-07-17 07:44:40.960739] 2025-07-17T07:44:40.9609616Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:44:40.9612772Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_random.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:44:40.961063] 2025-07-17T07:44:44.2300138Z 2025-07-17T07:44:44.2301053Z torch_np/test_random 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_random_1.1_7566d86340654d4b_.log 2025-07-17T07:44:44.2301854Z Running 0 items in this shard: 2025-07-17T07:44:44.2302046Z 2025-07-17T07:44:44.2304486Z Running test_namedtensor 1/1 ... [2025-07-17 07:44:44.230255] 2025-07-17T07:44:44.2304896Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:44:44.2308272Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_namedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:44:44.230603] 2025-07-17T07:44:47.5508223Z 2025-07-17T07:44:47.5509405Z test_namedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtensor_1.1_cf8bb174f71f8db2_.log 2025-07-17T07:44:47.5510155Z Running 0 items in this shard: 2025-07-17T07:44:47.5510345Z 2025-07-17T07:44:47.5512209Z Running export/test_package 1/1 ... [2025-07-17 07:44:47.551045] 2025-07-17T07:44:47.5512902Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:44:47.5516140Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:44:47.551369] 2025-07-17T07:44:50.8215804Z 2025-07-17T07:44:50.8216753Z export/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_package_1.1_740b4979328d1ee4_.log 2025-07-17T07:44:50.8217531Z Running 0 items in this shard: 2025-07-17T07:44:50.8217737Z 2025-07-17T07:44:50.8220061Z Running dynamo/test_config 1/1 ... [2025-07-17 07:44:50.821818] 2025-07-17T07:44:50.8220549Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:44:50.8224371Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_config.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:44:50.822212] 2025-07-17T07:44:54.1227514Z 2025-07-17T07:44:54.1228404Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_93dd94a872d0f469_.log 2025-07-17T07:44:54.1229085Z 2025-07-17T07:44:54.1231670Z Running inductor/test_codecache 1/1 ... [2025-07-17 07:44:54.122992] 2025-07-17T07:44:54.1232183Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:44:54.1235875Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_codecache.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:44:54.123358] 2025-07-17T07:45:00.8031467Z 2025-07-17T07:45:00.8032899Z inductor/test_codecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_codecache_1.1_7dbf1ffe2f0f2227_.log 2025-07-17T07:45:00.8034028Z 2025-07-17T07:45:00.8036109Z Running torch_np/numpy_tests/core/test_scalarinherit 1/1 ... [2025-07-17 07:45:00.803381] 2025-07-17T07:45:00.8036927Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:45:00.8042279Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarinherit.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:45:00.803841] 2025-07-17T07:45:04.1235898Z 2025-07-17T07:45:04.1238192Z torch_np/numpy_tests/core/test_scalarinherit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarinherit_1.1_4b56b13cb0edb6d9_.log 2025-07-17T07:45:04.1239502Z Running 0 items in this shard: 2025-07-17T07:45:04.1239820Z 2025-07-17T07:45:04.1240131Z Running dynamo/test_compile 1/1 ... [2025-07-17 07:45:04.123817] 2025-07-17T07:45:04.1240558Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:45:04.1244049Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_compile.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:45:04.124184] 2025-07-17T07:45:07.3313860Z 2025-07-17T07:45:07.3315245Z dynamo/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compile_1.1_3d671b5bdf611b5c_.log 2025-07-17T07:45:07.3316478Z 2025-07-17T07:45:07.3319192Z Running dynamo/test_after_aot 1/1 ... [2025-07-17 07:45:07.331725] 2025-07-17T07:45:07.3319884Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:45:07.3324742Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_after_aot.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:45:07.332146] 2025-07-17T07:45:10.6384839Z 2025-07-17T07:45:10.6386213Z dynamo/test_after_aot 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_after_aot_1.1_d0a8fb4e52864961_.log 2025-07-17T07:45:10.6387716Z 2025-07-17T07:45:10.6390087Z Running test_hub 1/1 ... [2025-07-17 07:45:10.638803] 2025-07-17T07:45:10.6390689Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:45:10.6395287Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_hub.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:45:10.639234] 2025-07-17T07:45:13.9088366Z 2025-07-17T07:45:13.9089535Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_b57ca8c70fe44529_.log 2025-07-17T07:45:13.9090743Z Running 0 items in this shard: 2025-07-17T07:45:13.9091094Z 2025-07-17T07:45:13.9093544Z Running export/test_db 1/1 ... [2025-07-17 07:45:13.909178] 2025-07-17T07:45:13.9094204Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:45:13.9099169Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_db.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:45:13.909586] 2025-07-17T07:45:17.2286860Z 2025-07-17T07:45:17.2287698Z export/test_db 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_db_1.1_0d0c3d3fac4732b3_.log 2025-07-17T07:45:17.2288447Z Running 0 items in this shard: 2025-07-17T07:45:17.2288654Z 2025-07-17T07:45:17.2290784Z Running test_optim 1/1 ... [2025-07-17 07:45:17.228913] 2025-07-17T07:45:17.2291171Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:45:17.2294890Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:45:17.229265] 2025-07-17T07:45:21.5996147Z 2025-07-17T07:45:21.5997027Z test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_optim_1.1_ffeccbb1240d688b_.log 2025-07-17T07:45:21.5997936Z Running 0 items in this shard: 2025-07-17T07:45:21.5998133Z 2025-07-17T07:45:21.6000504Z Running inductor/test_profiler 1/1 ... [2025-07-17 07:45:21.599888] 2025-07-17T07:45:21.6000943Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:45:21.6004586Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:45:21.600234] 2025-07-17T07:45:28.0602091Z 2025-07-17T07:45:28.0603488Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_f5ebcda86496dc26_.log 2025-07-17T07:45:28.0604831Z 2025-07-17T07:45:28.0607641Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-07-17 07:45:28.060544] 2025-07-17T07:45:28.0608467Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:45:28.0612998Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:45:28.060951] 2025-07-17T07:45:35.1146470Z 2025-07-17T07:45:35.1147511Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_c4102be5227a7be6_.log 2025-07-17T07:45:35.1148320Z 2025-07-17T07:45:35.1150845Z Running test_per_overload_api 1/1 ... [2025-07-17 07:45:35.114913] 2025-07-17T07:45:35.1151302Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:45:35.1154992Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_per_overload_api.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:45:35.115295] 2025-07-17T07:45:38.2848767Z 2025-07-17T07:45:38.2850129Z test_per_overload_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_per_overload_api_1.1_bce57db58874a444_.log 2025-07-17T07:45:38.2851601Z Running 0 items in this shard: 2025-07-17T07:45:38.2851926Z 2025-07-17T07:45:38.2854422Z Running export/test_schema 1/1 ... [2025-07-17 07:45:38.285236] 2025-07-17T07:45:38.2855072Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:45:38.2859778Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:45:38.285652] 2025-07-17T07:45:41.6048366Z 2025-07-17T07:45:41.6049267Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_d5c1301f1e9c4c27_.log 2025-07-17T07:45:41.6050077Z Running 0 items in this shard: 2025-07-17T07:45:41.6050271Z 2025-07-17T07:45:41.6052957Z Running test_expanded_weights 1/1 ... [2025-07-17 07:45:41.605119] 2025-07-17T07:45:41.6053392Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:45:41.6057135Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_expanded_weights.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:45:41.605484] 2025-07-17T07:45:45.9765915Z 2025-07-17T07:45:45.9767175Z test_expanded_weights 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_expanded_weights_1.1_00d7e1d5b52fa1dc_.log 2025-07-17T07:45:45.9768218Z Running 0 items in this shard: 2025-07-17T07:45:45.9768423Z 2025-07-17T07:45:45.9770339Z Running lazy/test_bindings 1/1 ... [2025-07-17 07:45:45.976822] 2025-07-17T07:45:45.9771024Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:45:45.9774931Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_bindings.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:45:45.977205] 2025-07-17T07:45:49.1961221Z 2025-07-17T07:45:49.1962120Z lazy/test_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_bindings_1.1_55752d9c2c30f23a_.log 2025-07-17T07:45:49.1962887Z Running 0 items in this shard: 2025-07-17T07:45:49.1963076Z 2025-07-17T07:45:49.1965457Z Running inductor/test_triton_heuristics 1/1 ... [2025-07-17 07:45:49.196377] 2025-07-17T07:45:49.1965961Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:45:49.1969884Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_heuristics.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:45:49.196743] 2025-07-17T07:45:55.7859033Z 2025-07-17T07:45:55.7860139Z inductor/test_triton_heuristics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_heuristics_1.1_ccb878648e2c5f83_.log 2025-07-17T07:45:55.7860930Z 2025-07-17T07:45:55.7863205Z Running dynamo/test_repros 1/1 ... [2025-07-17 07:45:55.786121] 2025-07-17T07:45:55.7863628Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:45:55.7867159Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_repros.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:45:55.786492] 2025-07-17T07:45:59.2033591Z 2025-07-17T07:45:59.2034785Z dynamo/test_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_repros_1.1_62fa4e9e9d519214_.log 2025-07-17T07:45:59.2035440Z 2025-07-17T07:45:59.2037439Z Running dynamo/test_view 1/1 ... [2025-07-17 07:45:59.203556] 2025-07-17T07:45:59.2037837Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:45:59.2041211Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_view.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:45:59.203909] 2025-07-17T07:46:02.2670894Z 2025-07-17T07:46:02.2671757Z dynamo/test_view 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_view_1.1_c24cb08227f35002_.log 2025-07-17T07:46:02.2672427Z 2025-07-17T07:46:02.2674942Z Running test_native_functions 1/1 ... [2025-07-17 07:46:02.267316] 2025-07-17T07:46:02.2675376Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:46:02.2679005Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_native_functions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:46:02.267677] 2025-07-17T07:46:05.5384180Z 2025-07-17T07:46:05.5385128Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_415c5caa4921666d_.log 2025-07-17T07:46:05.5385913Z Running 0 items in this shard: 2025-07-17T07:46:05.5386106Z 2025-07-17T07:46:05.5387914Z Running inductor/test_inductor_scheduler 1/1 ... [2025-07-17 07:46:05.538600] 2025-07-17T07:46:05.5388404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:46:05.5392402Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_inductor_scheduler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:46:05.538999] 2025-07-17T07:46:12.3137820Z 2025-07-17T07:46:12.3138880Z inductor/test_inductor_scheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_scheduler_1.1_75d106ea4a8f580c_.log 2025-07-17T07:46:12.3139943Z Running 0 items in this shard: 2025-07-17T07:46:12.3140153Z 2025-07-17T07:46:12.3141844Z Running test_type_hints 1/1 ... [2025-07-17 07:46:12.314005] 2025-07-17T07:46:12.3142255Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:46:12.3145753Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_type_hints.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:46:12.314351] 2025-07-17T07:46:15.5839498Z 2025-07-17T07:46:15.5840671Z test_type_hints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_hints_1.1_9db5828052b401f9_.log 2025-07-17T07:46:15.5841440Z Running 0 items in this shard: 2025-07-17T07:46:15.5841633Z 2025-07-17T07:46:15.5843265Z Running dynamo/test_pgo 1/1 ... [2025-07-17 07:46:15.584153] 2025-07-17T07:46:15.5843915Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:46:15.5847222Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_pgo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:46:15.584478] 2025-07-17T07:46:18.8646958Z 2025-07-17T07:46:18.8647968Z dynamo/test_pgo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pgo_1.1_124731857be4b912_.log 2025-07-17T07:46:18.8649170Z 2025-07-17T07:46:18.8651422Z Running inductor/test_group_batch_fusion 1/1 ... [2025-07-17 07:46:18.864927] 2025-07-17T07:46:18.8651929Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:46:18.8655227Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_group_batch_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:46:18.865297] 2025-07-17T07:46:25.5473923Z 2025-07-17T07:46:25.5475298Z inductor/test_group_batch_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_group_batch_fusion_1.1_c8fdcfc8f6f613f5_.log 2025-07-17T07:46:25.5476179Z 2025-07-17T07:46:25.5476991Z Running test_import_stats 1/1 ... [2025-07-17 07:46:25.547550] 2025-07-17T07:46:25.5477389Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:46:25.5481863Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_import_stats.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:46:25.547915] 2025-07-17T07:46:28.6673099Z 2025-07-17T07:46:28.6673994Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_b28605d583aca732_.log 2025-07-17T07:46:28.6674742Z Running 0 items in this shard: 2025-07-17T07:46:28.6674938Z 2025-07-17T07:46:28.6676911Z Running dynamo/test_guard_serialization 1/1 ... [2025-07-17 07:46:28.667534] 2025-07-17T07:46:28.6677446Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:46:28.6681193Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_guard_serialization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:46:28.667872] 2025-07-17T07:46:35.1375314Z 2025-07-17T07:46:35.1376535Z dynamo/test_guard_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_serialization_1.1_437cc1dabb1bcc8c_.log 2025-07-17T07:46:35.1377339Z 2025-07-17T07:46:35.1379305Z Running test_module_tracker 1/1 ... [2025-07-17 07:46:35.137732] 2025-07-17T07:46:35.1379727Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:46:35.1383389Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_module_tracker.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:46:35.138084] 2025-07-17T07:46:38.3068105Z 2025-07-17T07:46:38.3069092Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_6ceab0cc41946946_.log 2025-07-17T07:46:38.3070228Z Running 0 items in this shard: 2025-07-17T07:46:38.3070497Z 2025-07-17T07:46:38.3073262Z Running test_cuda_expandable_segments 1/1 ... [2025-07-17 07:46:38.307136] 2025-07-17T07:46:38.3073815Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:46:38.3077726Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:46:38.307525] 2025-07-17T07:46:42.6522018Z 2025-07-17T07:46:42.6523557Z test_cuda_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_expandable_segments_1.1_645b91cd22e07584_.log 2025-07-17T07:46:42.6524951Z 2025-07-17T07:46:42.6528041Z Running test_fx_passes 1/1 ... [2025-07-17 07:46:42.652610] 2025-07-17T07:46:42.6528660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:46:42.6533488Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:46:42.653028] 2025-07-17T07:46:45.8718966Z 2025-07-17T07:46:45.8720029Z test_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_passes_1.1_18da9d9db6aa35da_.log 2025-07-17T07:46:45.8720765Z Running 0 items in this shard: 2025-07-17T07:46:45.8720960Z 2025-07-17T07:46:45.8729782Z Running dynamo/test_unittest 1/1 ... [2025-07-17 07:46:45.872785] 2025-07-17T07:46:45.8730243Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:46:45.8734060Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_unittest.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:46:45.873151] 2025-07-17T07:46:49.1832145Z 2025-07-17T07:46:49.1833504Z dynamo/test_unittest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unittest_1.1_7777ebc0473bac65_.log 2025-07-17T07:46:49.1834787Z 2025-07-17T07:46:49.1837383Z Running test_logging 1/1 ... [2025-07-17 07:46:49.183552] 2025-07-17T07:46:49.1837982Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:46:49.1842891Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_logging.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:46:49.183956] 2025-07-17T07:46:52.4544089Z 2025-07-17T07:46:52.4544941Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_5bc088c8824714df_.log 2025-07-17T07:46:52.4545639Z Running 0 items in this shard: 2025-07-17T07:46:52.4545850Z 2025-07-17T07:46:52.4548143Z Running inductor/test_multi_kernel 1/1 ... [2025-07-17 07:46:52.454640] 2025-07-17T07:46:52.4548595Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:46:52.4552245Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_multi_kernel.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:46:52.454978] 2025-07-17T07:46:59.0046045Z 2025-07-17T07:46:59.0047360Z inductor/test_multi_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_multi_kernel_1.1_203e3f8847e243a2_.log 2025-07-17T07:46:59.0048119Z 2025-07-17T07:46:59.0049711Z Running torch_np/test_basic 1/1 ... [2025-07-17 07:46:59.004785] 2025-07-17T07:46:59.0050137Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:46:59.0053267Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:46:59.005126] 2025-07-17T07:47:02.3744213Z 2025-07-17T07:47:02.3745632Z torch_np/test_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_basic_1.1_cae5aab13e468dff_.log 2025-07-17T07:47:02.3746867Z Running 0 items in this shard: 2025-07-17T07:47:02.3747202Z 2025-07-17T07:47:02.3748019Z Running test_tensorexpr_pybind 1/1 ... [2025-07-17 07:47:02.374602] 2025-07-17T07:47:02.3748752Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:47:02.3752731Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensorexpr_pybind.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:47:02.374978] 2025-07-17T07:47:05.5944612Z 2025-07-17T07:47:05.5945643Z test_tensorexpr_pybind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_pybind_1.1_85367abdfef500a2_.log 2025-07-17T07:47:05.5946519Z Running 0 items in this shard: 2025-07-17T07:47:05.5946931Z 2025-07-17T07:47:05.5948950Z Running dynamo/test_model_output 1/1 ... [2025-07-17 07:47:05.594716] 2025-07-17T07:47:05.5949390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:47:05.5952705Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_model_output.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:47:05.595067] 2025-07-17T07:47:08.8723707Z 2025-07-17T07:47:08.8724846Z dynamo/test_model_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_model_output_1.1_592dcbd520d55481_.log 2025-07-17T07:47:08.8725561Z 2025-07-17T07:47:08.8727729Z Running test_complex 1/1 ... [2025-07-17 07:47:08.872602] 2025-07-17T07:47:08.8728162Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:47:08.8731588Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_complex.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:47:08.872956] 2025-07-17T07:47:12.0918188Z 2025-07-17T07:47:12.0919066Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_4eb3ebb544288949_.log 2025-07-17T07:47:12.0919831Z Running 0 items in this shard: 2025-07-17T07:47:12.0920025Z 2025-07-17T07:47:12.0922457Z Running test_jiterator 1/1 ... [2025-07-17 07:47:12.092075] 2025-07-17T07:47:12.0922906Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:47:12.0926840Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jiterator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:47:12.092460] 2025-07-17T07:47:15.3047843Z 2025-07-17T07:47:15.3049019Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_a71450a468887856_.log 2025-07-17T07:47:15.3049821Z Running 0 items in this shard: 2025-07-17T07:47:15.3050016Z 2025-07-17T07:47:15.3050922Z Running functorch/test_minifier 1/1 ... [2025-07-17 07:47:15.304927] 2025-07-17T07:47:15.3051422Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:47:15.3055481Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:47:15.305307] 2025-07-17T07:47:18.7757403Z 2025-07-17T07:47:18.7758817Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_8f1ca0a142c37a92_.log 2025-07-17T07:47:18.7760369Z Running 0 items in this shard: 2025-07-17T07:47:18.7760699Z 2025-07-17T07:47:18.7763027Z Running test_ops_fwd_gradients 1/2 ... [2025-07-17 07:47:18.776106] 2025-07-17T07:47:18.7763711Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:47:18.7767930Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:47:18.776538] 2025-07-17T07:47:23.3472077Z 2025-07-17T07:47:23.3472975Z test_ops_fwd_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.2_ecde338574bac60e_.log 2025-07-17T07:47:23.3473826Z Running 0 items in this shard: 2025-07-17T07:47:23.3474062Z 2025-07-17T07:47:23.3479156Z Running inductor/test_select_algorithm 1/1 ... [2025-07-17 07:47:23.347705] 2025-07-17T07:47:23.3479657Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:47:23.3483229Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_select_algorithm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:47:23.348090] 2025-07-17T07:47:29.5983905Z 2025-07-17T07:47:29.5984945Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_b2da66a01b9f8e8f_.log 2025-07-17T07:47:29.5985733Z 2025-07-17T07:47:29.5988041Z Running inductor/test_fxir_backend 1/1 ... [2025-07-17 07:47:29.598637] 2025-07-17T07:47:29.5988503Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:47:29.5992331Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:47:29.599004] 2025-07-17T07:47:36.0746793Z 2025-07-17T07:47:36.0748145Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_2c12291d91bfa61a_.log 2025-07-17T07:47:36.0748946Z 2025-07-17T07:47:36.0751948Z Running inductor/test_cutlass_evt 1/1 ... [2025-07-17 07:47:36.074979] 2025-07-17T07:47:36.0752611Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:47:36.0756941Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cutlass_evt.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:47:36.075406] 2025-07-17T07:47:42.6763860Z 2025-07-17T07:47:42.6765059Z inductor/test_cutlass_evt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_evt_1.1_24adadb82505b500_.log 2025-07-17T07:47:42.6766016Z 2025-07-17T07:47:42.6767692Z Running inductor/test_control_flow 1/1 ... [2025-07-17 07:47:42.676582] 2025-07-17T07:47:42.6768449Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:47:42.6772366Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_control_flow.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:47:42.676933] 2025-07-17T07:47:49.1660540Z 2025-07-17T07:47:49.1661502Z inductor/test_control_flow 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_flow_1.1_e026e2281b9623c9_.log 2025-07-17T07:47:49.1662224Z 2025-07-17T07:47:49.1665118Z Running dynamo/test_export_mutations 1/1 ... [2025-07-17 07:47:49.166271] 2025-07-17T07:47:49.1665653Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:47:49.1668998Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_export_mutations.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:47:49.166618] 2025-07-17T07:47:52.4596269Z 2025-07-17T07:47:52.4597343Z dynamo/test_export_mutations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_mutations_1.1_c2d53de585993413_.log 2025-07-17T07:47:52.4598163Z 2025-07-17T07:47:52.4600635Z Running inductor/test_binary_folding 1/1 ... [2025-07-17 07:47:52.459870] 2025-07-17T07:47:52.4601162Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:47:52.4604995Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_binary_folding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:47:52.460258] 2025-07-17T07:47:59.3655982Z 2025-07-17T07:47:59.3657081Z inductor/test_binary_folding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_binary_folding_1.1_e727b99658bc9985_.log 2025-07-17T07:47:59.3658120Z 2025-07-17T07:47:59.3659943Z Running inductor/test_torchinductor_codegen_config_overrides 1/1 ... [2025-07-17 07:47:59.365811] 2025-07-17T07:47:59.3660588Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:47:59.3664117Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_torchinductor_codegen_config_overrides.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:47:59.366151] 2025-07-17T07:48:05.9808055Z 2025-07-17T07:48:05.9809299Z inductor/test_torchinductor_codegen_config_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_config_overrides_1.1_e43097f3d2f73b63_.log 2025-07-17T07:48:05.9810308Z 2025-07-17T07:48:05.9811715Z Running xpu/test_conv 1/1 ... [2025-07-17 07:48:05.981018] 2025-07-17T07:48:05.9812186Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:48:05.9815819Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'xpu/test_conv.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:48:05.981361] 2025-07-17T07:48:09.6318991Z 2025-07-17T07:48:09.6320231Z xpu/test_conv 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_conv_1.1_71e00d58689073f0_.log 2025-07-17T07:48:09.6321501Z Running 0 items in this shard: 2025-07-17T07:48:09.6332178Z 2025-07-17T07:48:09.6332795Z Running dynamo/test_optimizers 1/1 ... [2025-07-17 07:48:09.632252] 2025-07-17T07:48:09.6333464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:48:09.6334664Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_optimizers.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:48:09.632685] 2025-07-17T07:48:12.9134584Z 2025-07-17T07:48:12.9135831Z dynamo/test_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_optimizers_1.1_400449a4a406ecf6_.log 2025-07-17T07:48:12.9136565Z 2025-07-17T07:48:12.9138816Z Running dynamo/test_sets 1/1 ... [2025-07-17 07:48:12.913693] 2025-07-17T07:48:12.9139319Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:48:12.9143179Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:48:12.914054] 2025-07-17T07:48:16.1934318Z 2025-07-17T07:48:16.1935161Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_6ee21f04689563bf_.log 2025-07-17T07:48:16.1935844Z 2025-07-17T07:48:16.1938464Z Running dynamo/test_structured_trace 1/1 ... [2025-07-17 07:48:16.193648] 2025-07-17T07:48:16.1938941Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:48:16.1942698Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_structured_trace.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:48:16.194030] 2025-07-17T07:48:22.7470558Z 2025-07-17T07:48:22.7471664Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_a5a1c09d59394f10_.log 2025-07-17T07:48:22.7472437Z 2025-07-17T07:48:22.7474077Z Running dynamo/test_debug_utils 1/1 ... [2025-07-17 07:48:22.747216] 2025-07-17T07:48:22.7474508Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:48:22.7477966Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_debug_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:48:22.747572] 2025-07-17T07:48:29.0774449Z 2025-07-17T07:48:29.0775385Z dynamo/test_debug_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_debug_utils_1.1_23de9b28688fcae0_.log 2025-07-17T07:48:29.0776097Z 2025-07-17T07:48:29.0778218Z Running dynamo/test_base_hop 1/1 ... [2025-07-17 07:48:29.077639] 2025-07-17T07:48:29.0778691Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:48:29.0782220Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_base_hop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:48:29.077998] 2025-07-17T07:48:35.3836132Z 2025-07-17T07:48:35.3837068Z dynamo/test_base_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_hop_1.1_0881792c52460c00_.log 2025-07-17T07:48:35.3837751Z 2025-07-17T07:48:35.3840155Z Running inductor/test_memory 1/1 ... [2025-07-17 07:48:35.383873] 2025-07-17T07:48:35.3840656Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:48:35.3844625Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_memory.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:48:35.384239] 2025-07-17T07:48:41.9137699Z 2025-07-17T07:48:41.9139145Z inductor/test_memory 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_1.1_6c4c2344c2d14bdd_.log 2025-07-17T07:48:41.9139888Z 2025-07-17T07:48:41.9141635Z Running dynamo/test_profiler 1/1 ... [2025-07-17 07:48:41.913992] 2025-07-17T07:48:41.9142397Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:48:41.9145859Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:48:41.914327] 2025-07-17T07:48:45.2262269Z 2025-07-17T07:48:45.2263268Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_6f1f240e112cd994_.log 2025-07-17T07:48:45.2264092Z 2025-07-17T07:48:45.2264916Z Running dynamo/test_cudagraphs 1/1 ... [2025-07-17 07:48:45.226317] 2025-07-17T07:48:45.2265430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:48:45.2269054Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:48:45.226675] 2025-07-17T07:48:48.5211671Z 2025-07-17T07:48:48.5212975Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_6502ff8a0e5b094a_.log 2025-07-17T07:48:48.5213720Z 2025-07-17T07:48:48.5215601Z Running inductor/test_config 1/1 ... [2025-07-17 07:48:48.521371] 2025-07-17T07:48:48.5216308Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:48:48.5219928Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_config.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:48:48.521728] 2025-07-17T07:48:55.1308599Z 2025-07-17T07:48:55.1309523Z inductor/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_config_1.1_20f5c079f0634b33_.log 2025-07-17T07:48:55.1310454Z 2025-07-17T07:48:55.1312149Z Running dynamo/test_deviceguard 1/1 ... [2025-07-17 07:48:55.131045] 2025-07-17T07:48:55.1312645Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:48:55.1315921Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_deviceguard.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:48:55.131371] 2025-07-17T07:48:58.4067460Z 2025-07-17T07:48:58.4068435Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_73f2f1bfedd3bb10_.log 2025-07-17T07:48:58.4069179Z 2025-07-17T07:48:58.8104531Z Uploading artifacts took 0.40 seconds 2025-07-17T07:48:58.8107648Z Running inductor/test_fused_attention 1/1 ... [2025-07-17 07:48:58.810579] 2025-07-17T07:48:58.8108361Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:48:58.8112201Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:48:58.810941] 2025-07-17T07:49:05.4419175Z 2025-07-17T07:49:05.4420582Z inductor/test_fused_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fused_attention_1.1_4d82f36cf404dadc_.log 2025-07-17T07:49:05.4421366Z 2025-07-17T07:49:05.4424184Z Running test_ops_gradients 2/2 ... [2025-07-17 07:49:05.442157] 2025-07-17T07:49:05.4424896Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:49:05.4428368Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:49:05.442530] 2025-07-17T07:49:10.7146119Z 2025-07-17T07:49:10.7147506Z test_ops_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_2.2_698b806d0b962df9_.log 2025-07-17T07:49:10.7148297Z Running 0 items in this shard: 2025-07-17T07:49:10.7148490Z 2025-07-17T07:49:10.7150351Z Running test_pruning_op 1/1 ... [2025-07-17 07:49:10.714842] 2025-07-17T07:49:10.7150976Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:49:10.7154661Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_pruning_op.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:49:10.715194] 2025-07-17T07:49:13.9352074Z 2025-07-17T07:49:13.9353275Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_58ad5592584e110b_.log 2025-07-17T07:49:13.9354032Z Running 0 items in this shard: 2025-07-17T07:49:13.9354250Z 2025-07-17T07:49:13.9356303Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2025-07-17 07:49:13.935412] 2025-07-17T07:49:13.9356987Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:49:13.9360070Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:49:13.935738] 2025-07-17T07:49:17.1544803Z 2025-07-17T07:49:17.1546220Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_0a8914ee8de09891_.log 2025-07-17T07:49:17.1547170Z Running 0 items in this shard: 2025-07-17T07:49:17.1547422Z 2025-07-17T07:49:17.1548624Z Running test_monitor 1/1 ... [2025-07-17 07:49:17.154700] 2025-07-17T07:49:17.1549425Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:49:17.1552731Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_monitor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:49:17.155031] 2025-07-17T07:49:20.3237573Z 2025-07-17T07:49:20.3238747Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_a21a3c8374ef6fea_.log 2025-07-17T07:49:20.3239661Z Running 0 items in this shard: 2025-07-17T07:49:20.3240037Z 2025-07-17T07:49:20.3240339Z Running dynamo/test_verify_correctness 1/1 ... [2025-07-17 07:49:20.323801] 2025-07-17T07:49:20.3240820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:49:20.3243940Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:49:20.324127] 2025-07-17T07:49:23.5182987Z 2025-07-17T07:49:23.5184412Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_cf5124ee495f75d9_.log 2025-07-17T07:49:23.5185222Z 2025-07-17T07:49:23.5186787Z Running dynamo/test_backends 1/1 ... [2025-07-17 07:49:23.518511] 2025-07-17T07:49:23.5187461Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:49:23.5191080Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_backends.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:49:23.518849] 2025-07-17T07:49:29.8644792Z 2025-07-17T07:49:29.8645935Z dynamo/test_backends 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backends_1.1_d4189d1a4703fad1_.log 2025-07-17T07:49:29.8647417Z 2025-07-17T07:49:29.8649214Z Running export/test_serialize 1/1 ... [2025-07-17 07:49:29.864693] 2025-07-17T07:49:29.8649956Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:49:29.8653299Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_serialize.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:49:29.865044] 2025-07-17T07:49:33.1343605Z 2025-07-17T07:49:33.1345043Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_adfc32bc2ae6dbce_.log 2025-07-17T07:49:33.1346540Z Running 0 items in this shard: 2025-07-17T07:49:33.1346851Z 2025-07-17T07:49:33.1349313Z Running test_segment_reductions 1/1 ... [2025-07-17 07:49:33.134717] 2025-07-17T07:49:33.1349999Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:49:33.1354038Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_segment_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:49:33.135141] 2025-07-17T07:49:36.3044210Z 2025-07-17T07:49:36.3045579Z test_segment_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_segment_reductions_1.1_956667d795dc9ba9_.log 2025-07-17T07:49:36.3047042Z Running 0 items in this shard: 2025-07-17T07:49:36.3047362Z 2025-07-17T07:49:36.3049815Z Running inductor/test_padding 1/1 ... [2025-07-17 07:49:36.304770] 2025-07-17T07:49:36.3050520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:49:36.3054621Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_padding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:49:36.305190] 2025-07-17T07:49:42.9468850Z 2025-07-17T07:49:42.9469911Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_1042c456231f2a3e_.log 2025-07-17T07:49:42.9470620Z 2025-07-17T07:49:42.9473103Z Running test_out_dtype_op 1/1 ... [2025-07-17 07:49:42.947133] 2025-07-17T07:49:42.9473654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:49:42.9477097Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_out_dtype_op.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:49:42.947497] 2025-07-17T07:49:46.4673175Z 2025-07-17T07:49:46.4674094Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_2812734ab42a89c1_.log 2025-07-17T07:49:46.4674845Z Running 0 items in this shard: 2025-07-17T07:49:46.4675057Z 2025-07-17T07:49:46.4677352Z Running export/test_hop 1/1 ... [2025-07-17 07:49:46.467537] 2025-07-17T07:49:46.4677767Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:49:46.4681363Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_hop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:49:46.467893] 2025-07-17T07:49:50.3875598Z 2025-07-17T07:49:50.3876407Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_434e412d98563c8a_.log 2025-07-17T07:49:50.3877376Z Running 0 items in this shard: 2025-07-17T07:49:50.3877568Z 2025-07-17T07:49:50.3879593Z Running dynamo/test_higher_order_ops 1/1 ... [2025-07-17 07:49:50.387761] 2025-07-17T07:49:50.3880083Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:49:50.3883264Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:49:50.388089] 2025-07-17T07:49:57.7557196Z 2025-07-17T07:49:57.7558391Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_8086dae448b4a392_.log 2025-07-17T07:49:57.7559156Z 2025-07-17T07:49:57.7561019Z Running test_cuda_sanitizer 1/1 ... [2025-07-17 07:49:57.755924] 2025-07-17T07:49:57.7561510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:49:57.7564586Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:49:57.756246] 2025-07-17T07:50:00.8866671Z 2025-07-17T07:50:00.8867840Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_d02abb11dd027fcd_.log 2025-07-17T07:50:00.8868695Z Running 0 items in this shard: 2025-07-17T07:50:00.8868919Z 2025-07-17T07:50:00.8869163Z Running test_model_exports_to_core_aten 1/1 ... [2025-07-17 07:50:00.886711] 2025-07-17T07:50:00.8869858Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:00.8873052Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_model_exports_to_core_aten.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:00.887080] 2025-07-17T07:50:04.5072720Z 2025-07-17T07:50:04.5073718Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_8c7acce39a35145a_.log 2025-07-17T07:50:04.5074841Z Running 0 items in this shard: 2025-07-17T07:50:04.5075034Z 2025-07-17T07:50:04.5076663Z Running test_mkldnn 1/1 ... [2025-07-17 07:50:04.507497] 2025-07-17T07:50:04.5077411Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:04.5081094Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:04.507843] 2025-07-17T07:50:07.9773282Z 2025-07-17T07:50:07.9774071Z test_mkldnn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_1.1_6d8e0c9ecf756ac2_.log 2025-07-17T07:50:07.9774795Z Running 0 items in this shard: 2025-07-17T07:50:07.9774985Z 2025-07-17T07:50:07.9776506Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-07-17 07:50:07.977476] 2025-07-17T07:50:07.9777044Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:07.9780353Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_function_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:07.977799] 2025-07-17T07:50:11.3475415Z 2025-07-17T07:50:11.3476657Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_b42539ec3903ce73_.log 2025-07-17T07:50:11.3477655Z Running 0 items in this shard: 2025-07-17T07:50:11.3477870Z 2025-07-17T07:50:11.3479339Z Running lazy/test_functionalization 1/1 ... [2025-07-17 07:50:11.347757] 2025-07-17T07:50:11.3480088Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:11.3483742Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_functionalization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:11.348113] 2025-07-17T07:50:14.6172078Z 2025-07-17T07:50:14.6173304Z lazy/test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_functionalization_1.1_cb6d92f6cb53734c_.log 2025-07-17T07:50:14.6174187Z Running 0 items in this shard: 2025-07-17T07:50:14.6174379Z 2025-07-17T07:50:14.6176033Z Running test_jit 1/1 ... [2025-07-17 07:50:14.617436] 2025-07-17T07:50:14.6176402Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:14.6179930Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:14.617783] 2025-07-17T07:50:19.6904475Z 2025-07-17T07:50:19.6905380Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_5785096dc5341329_.log 2025-07-17T07:50:19.6906105Z Running 0 items in this shard: 2025-07-17T07:50:19.6906367Z 2025-07-17T07:50:19.6908179Z Running dynamo/test_einops 1/1 ... [2025-07-17 07:50:19.690664] 2025-07-17T07:50:19.6908615Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:19.6912137Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_einops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:19.690993] 2025-07-17T07:50:22.7518710Z 2025-07-17T07:50:22.7519609Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_17e21bf952e5c065_.log 2025-07-17T07:50:22.7520341Z 2025-07-17T07:50:22.7522376Z Running test_modules 1/2 ... [2025-07-17 07:50:22.752088] 2025-07-17T07:50:22.7523021Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:22.7526739Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:22.752456] 2025-07-17T07:50:27.4238352Z 2025-07-17T07:50:27.4239546Z test_modules 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.2_e7f262edad7da633_.log 2025-07-17T07:50:27.4240260Z Running 0 items in this shard: 2025-07-17T07:50:27.4240449Z 2025-07-17T07:50:27.4242364Z Running optim/test_lrscheduler 1/1 ... [2025-07-17 07:50:27.424052] 2025-07-17T07:50:27.4243103Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:27.4246363Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'optim/test_lrscheduler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:27.424398] 2025-07-17T07:50:30.4386412Z 2025-07-17T07:50:30.4387630Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_4f1e0c69d30684b5_.log 2025-07-17T07:50:30.4388360Z 2025-07-17T07:50:30.4390560Z Running dynamo/test_aot_autograd 1/1 ... [2025-07-17 07:50:30.438854] 2025-07-17T07:50:30.4391041Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:30.4393873Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_aot_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:30.439178] 2025-07-17T07:50:33.6315175Z 2025-07-17T07:50:33.6316155Z dynamo/test_aot_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_1.1_139a80847e949db7_.log 2025-07-17T07:50:33.6318097Z 2025-07-17T07:50:33.6320730Z Running dynamo/test_error_messages 1/1 ... [2025-07-17 07:50:33.631838] 2025-07-17T07:50:33.6321226Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:33.6324478Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_error_messages.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:33.632205] 2025-07-17T07:50:36.8805407Z 2025-07-17T07:50:36.8806395Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_c26cb6ad9de0968a_.log 2025-07-17T07:50:36.8807151Z 2025-07-17T07:50:36.8809243Z Running test_accelerator 1/1 ... [2025-07-17 07:50:36.880753] 2025-07-17T07:50:36.8809652Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:36.8813111Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_accelerator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:36.881106] 2025-07-17T07:50:39.9338633Z 2025-07-17T07:50:39.9339596Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_0bda6e23c18cbf9e_.log 2025-07-17T07:50:39.9340249Z 2025-07-17T07:50:39.9342506Z Running dynamo/test_callback 1/1 ... [2025-07-17 07:50:39.934089] 2025-07-17T07:50:39.9342943Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:39.9346908Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_callback.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:39.934478] 2025-07-17T07:50:46.5864456Z 2025-07-17T07:50:46.5865419Z dynamo/test_callback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_callback_1.1_c19ee7c2a363e924_.log 2025-07-17T07:50:46.5866098Z 2025-07-17T07:50:46.5867357Z Running dynamo/test_exceptions 1/1 ... [2025-07-17 07:50:46.586570] 2025-07-17T07:50:46.5867813Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:46.5871422Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_exceptions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:46.586912] 2025-07-17T07:50:49.8779966Z 2025-07-17T07:50:49.8780958Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_3cf4e90d13d032e4_.log 2025-07-17T07:50:49.8781764Z 2025-07-17T07:50:49.8783381Z Running dynamo/test_hooks 1/1 ... [2025-07-17 07:50:49.878181] 2025-07-17T07:50:49.8783848Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:49.8787259Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_hooks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:49.878505] 2025-07-17T07:50:53.1733217Z 2025-07-17T07:50:53.1734194Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_b5a58b60452b8787_.log 2025-07-17T07:50:53.1734856Z 2025-07-17T07:50:53.1737349Z Running test_matmul_cuda 1/1 ... [2025-07-17 07:50:53.173574] 2025-07-17T07:50:53.1737793Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:53.1741589Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:53.173933] 2025-07-17T07:50:56.4633242Z 2025-07-17T07:50:56.4634545Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_c936814ae5a082f8_.log 2025-07-17T07:50:56.4635839Z Running 0 items in this shard: 2025-07-17T07:50:56.4636103Z 2025-07-17T07:50:56.4638222Z Running dynamo/test_bytecode_utils 1/1 ... [2025-07-17 07:50:56.463605] 2025-07-17T07:50:56.4638927Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:56.4642767Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_bytecode_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:56.464029] 2025-07-17T07:50:59.7257994Z 2025-07-17T07:50:59.7259042Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_f9a905dd64504643_.log 2025-07-17T07:50:59.7260002Z 2025-07-17T07:50:59.7262060Z Running lazy/test_ts_opinfo 1/1 ... [2025-07-17 07:50:59.726006] 2025-07-17T07:50:59.7262540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:50:59.7265720Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:50:59.726343] 2025-07-17T07:51:04.0968876Z 2025-07-17T07:51:04.0970317Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_38ce946f883edb28_.log 2025-07-17T07:51:04.0971120Z Running 0 items in this shard: 2025-07-17T07:51:04.0971311Z 2025-07-17T07:51:04.0973095Z Running test_maskedtensor 1/1 ... [2025-07-17 07:51:04.097126] 2025-07-17T07:51:04.0974426Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:51:04.0977232Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_maskedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:51:04.097466] 2025-07-17T07:51:08.5191885Z 2025-07-17T07:51:08.5192914Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_61f6413c1a4b2935_.log 2025-07-17T07:51:08.5193767Z Running 0 items in this shard: 2025-07-17T07:51:08.5193961Z 2025-07-17T07:51:08.5196666Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-07-17 07:51:08.519442] 2025-07-17T07:51:08.5197174Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:51:08.5201095Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarmath.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:51:08.519796] 2025-07-17T07:51:11.7387468Z 2025-07-17T07:51:11.7388586Z torch_np/numpy_tests/core/test_scalarmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarmath_1.1_667a7ff4cea35878_.log 2025-07-17T07:51:11.7389576Z Running 0 items in this shard: 2025-07-17T07:51:11.7389785Z 2025-07-17T07:51:11.7391961Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-07-17 07:51:11.739006] 2025-07-17T07:51:11.7392513Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:51:11.7397332Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_getlimits.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:51:11.739393] 2025-07-17T07:51:15.0585975Z 2025-07-17T07:51:15.0588028Z torch_np/numpy_tests/core/test_getlimits 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_getlimits_1.1_40d22044e2e8c0d8_.log 2025-07-17T07:51:15.0589636Z Running 0 items in this shard: 2025-07-17T07:51:15.0589933Z 2025-07-17T07:51:15.0591617Z Running dynamo/test_recompile_ux 1/1 ... [2025-07-17 07:51:15.058948] 2025-07-17T07:51:15.0592311Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:51:15.0597368Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:51:15.059397] 2025-07-17T07:51:18.3296089Z 2025-07-17T07:51:18.3297176Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_e3e319e8c0b02b0d_.log 2025-07-17T07:51:18.3297914Z 2025-07-17T07:51:18.3300292Z Running torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-07-17 07:51:18.329854] 2025-07-17T07:51:18.3300857Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:51:18.3304438Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dtype.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:51:18.330207] 2025-07-17T07:51:21.5491637Z 2025-07-17T07:51:21.5492666Z torch_np/numpy_tests/core/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_e3fa1570e8d982bf_.log 2025-07-17T07:51:21.5493609Z Running 0 items in this shard: 2025-07-17T07:51:21.5493800Z 2025-07-17T07:51:21.5495843Z Running inductor/test_compile 1/1 ... [2025-07-17 07:51:21.549400] 2025-07-17T07:51:21.5496283Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:51:21.5499733Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_compile.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:51:21.549744] 2025-07-17T07:51:27.8525941Z 2025-07-17T07:51:27.8526857Z inductor/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_1.1_8046f472458126a9_.log 2025-07-17T07:51:27.8527555Z 2025-07-17T07:51:27.8529896Z Running functorch/test_vmap_registrations 1/1 ... [2025-07-17 07:51:27.852831] 2025-07-17T07:51:27.8530388Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:51:27.8534242Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap_registrations.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:51:27.853185] 2025-07-17T07:51:31.1244394Z 2025-07-17T07:51:31.1245440Z functorch/test_vmap_registrations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_registrations_1.1_c8ffaaea685ad341_.log 2025-07-17T07:51:31.1246367Z Running 0 items in this shard: 2025-07-17T07:51:31.1246570Z 2025-07-17T07:51:31.1248705Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-07-17 07:51:31.124701] 2025-07-17T07:51:31.1249229Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:51:31.1252696Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:51:31.125038] 2025-07-17T07:51:34.2955533Z 2025-07-17T07:51:34.2956875Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_158860c86da871b6_.log 2025-07-17T07:51:34.2957873Z Running 0 items in this shard: 2025-07-17T07:51:34.2958082Z 2025-07-17T07:51:34.2959776Z Running nn/test_packed_sequence 1/1 ... [2025-07-17 07:51:34.295792] 2025-07-17T07:51:34.2960292Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:51:34.2963434Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_packed_sequence.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:51:34.296111] 2025-07-17T07:51:37.5168698Z 2025-07-17T07:51:37.5169947Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_6acad013acd75fb2_.log 2025-07-17T07:51:37.5170794Z Running 0 items in this shard: 2025-07-17T07:51:37.5170999Z 2025-07-17T07:51:37.5173324Z Running test_futures 1/1 ... [2025-07-17 07:51:37.517142] 2025-07-17T07:51:37.5173734Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:51:37.5177160Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_futures.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:51:37.517505] 2025-07-17T07:51:40.7890944Z 2025-07-17T07:51:40.7891811Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_44e6bc74e3ba2d31_.log 2025-07-17T07:51:40.7892529Z Running 0 items in this shard: 2025-07-17T07:51:40.7892739Z 2025-07-17T07:51:40.7894512Z Running export/test_sparse 1/1 ... [2025-07-17 07:51:40.789267] 2025-07-17T07:51:40.7894963Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:51:40.7898555Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_sparse.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:51:40.789613] 2025-07-17T07:51:44.0087921Z 2025-07-17T07:51:44.0088817Z export/test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.1_323b775f7068c77c_.log 2025-07-17T07:51:44.0089587Z Running 0 items in this shard: 2025-07-17T07:51:44.0089793Z 2025-07-17T07:51:44.0092418Z Running optim/test_optim 1/1 ... [2025-07-17 07:51:44.009065] 2025-07-17T07:51:44.0092838Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:51:44.0096525Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'optim/test_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:51:44.009420] 2025-07-17T07:51:47.0805383Z 2025-07-17T07:51:47.0806375Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_ae4f50404800a14a_.log 2025-07-17T07:51:47.0807063Z 2025-07-17T07:51:47.0809180Z Running export/test_verifier 1/1 ... [2025-07-17 07:51:47.080756] 2025-07-17T07:51:47.0809615Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:51:47.0813449Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_verifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:51:47.081115] 2025-07-17T07:51:50.3499501Z 2025-07-17T07:51:50.3500913Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_b4538202cae5c5f9_.log 2025-07-17T07:51:50.3502620Z Running 0 items in this shard: 2025-07-17T07:51:50.3504740Z 2025-07-17T07:51:50.3505212Z Running torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-07-17 07:51:50.350296] 2025-07-17T07:51:50.3506026Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:51:50.3510999Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_pocketfft.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:51:50.350723] 2025-07-17T07:51:53.6697937Z 2025-07-17T07:51:53.6699650Z torch_np/numpy_tests/fft/test_pocketfft 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_pocketfft_1.1_5de30071c77c7f08_.log 2025-07-17T07:51:53.6701392Z Running 0 items in this shard: 2025-07-17T07:51:53.6701685Z 2025-07-17T07:51:53.6704084Z Running test_serialization 1/1 ... [2025-07-17 07:51:53.670192] 2025-07-17T07:51:53.6704722Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:51:53.6709429Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_serialization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:51:53.670621] 2025-07-17T07:52:20.2742455Z 2025-07-17T07:52:20.2743414Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_8f15705d9e0b967a_.log 2025-07-17T07:52:20.2744838Z Running 2 items in this shard: test/test_serialization.py::TestSerialization::test_serialization_2gb_file, test/test_serialization.py::TestSerialization::test_serialization_4gb_file 2025-07-17T07:52:20.2745805Z 2025-07-17T07:52:20.2746131Z Running test_functional_optim 1/1 ... [2025-07-17 07:52:20.273449] 2025-07-17T07:52:20.2746781Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:52:20.2750148Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functional_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:52:20.274660] 2025-07-17T07:52:24.2528380Z 2025-07-17T07:52:24.2529333Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_e2352edf47f78b08_.log 2025-07-17T07:52:24.2530172Z Running 0 items in this shard: 2025-07-17T07:52:24.2530414Z 2025-07-17T07:52:24.2531306Z Running nn/test_embedding 1/1 ... [2025-07-17 07:52:24.252975] 2025-07-17T07:52:24.2531747Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:52:24.2535675Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_embedding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:52:24.253305] 2025-07-17T07:52:27.4247348Z 2025-07-17T07:52:27.4248652Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_1d542baf5f20247e_.log 2025-07-17T07:52:27.4250033Z Running 0 items in this shard: 2025-07-17T07:52:27.4250386Z 2025-07-17T07:52:27.4253230Z Running nn/test_dropout 1/1 ... [2025-07-17 07:52:27.425126] 2025-07-17T07:52:27.4253859Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:52:27.4258553Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_dropout.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:52:27.425531] 2025-07-17T07:52:30.5453574Z 2025-07-17T07:52:30.5454845Z nn/test_dropout 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_dropout_1.1_5686bd0afaecfde9_.log 2025-07-17T07:52:30.5462873Z Running 0 items in this shard: 2025-07-17T07:52:30.5463069Z 2025-07-17T07:52:30.5463281Z Running test_dynamic_shapes 1/1 ... [2025-07-17 07:52:30.545607] 2025-07-17T07:52:30.5463715Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:52:30.5477398Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:52:30.545958] 2025-07-17T07:52:34.1159666Z 2025-07-17T07:52:34.1160913Z test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dynamic_shapes_1.1_dc707141e0e7ec19_.log 2025-07-17T07:52:34.1161776Z Running 0 items in this shard: 2025-07-17T07:52:34.1162015Z 2025-07-17T07:52:34.1163106Z Running torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-07-17 07:52:34.116130] 2025-07-17T07:52:34.1163658Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:52:34.1167373Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_helper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:52:34.116439] 2025-07-17T07:52:37.3854851Z 2025-07-17T07:52:37.3855974Z torch_np/numpy_tests/fft/test_helper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_a97cca87707d4d47_.log 2025-07-17T07:52:37.3856898Z Running 0 items in this shard: 2025-07-17T07:52:37.3857185Z 2025-07-17T07:52:37.3859048Z Running torch_np/test_ndarray_methods 1/1 ... [2025-07-17 07:52:37.385666] 2025-07-17T07:52:37.3859595Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:52:37.3862551Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_ndarray_methods.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:52:37.386030] 2025-07-17T07:52:40.7075010Z 2025-07-17T07:52:40.7076084Z torch_np/test_ndarray_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ndarray_methods_1.1_80b549dc0a9448e9_.log 2025-07-17T07:52:40.7076966Z Running 0 items in this shard: 2025-07-17T07:52:40.7077161Z 2025-07-17T07:52:40.7079574Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-07-17 07:52:40.707762] 2025-07-17T07:52:40.7080091Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:52:40.7083646Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_twodim_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:52:40.708125] 2025-07-17T07:52:43.9771284Z 2025-07-17T07:52:43.9772850Z torch_np/numpy_tests/lib/test_twodim_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_twodim_base_1.1_3504883f103a83cf_.log 2025-07-17T07:52:43.9773858Z Running 0 items in this shard: 2025-07-17T07:52:43.9774068Z 2025-07-17T07:52:43.9775585Z Running test_vulkan 1/1 ... [2025-07-17 07:52:43.977372] 2025-07-17T07:52:43.9776297Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:52:43.9779667Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_vulkan.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:52:43.977712] 2025-07-17T07:52:47.1970957Z 2025-07-17T07:52:47.1971762Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_12324d2713ba31a7_.log 2025-07-17T07:52:47.1972691Z Running 0 items in this shard: 2025-07-17T07:52:47.1972882Z 2025-07-17T07:52:47.1975559Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-07-17 07:52:47.197365] 2025-07-17T07:52:47.1976083Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:52:47.1979816Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_shape_base_.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:52:47.197730] 2025-07-17T07:52:50.4673785Z 2025-07-17T07:52:50.4674874Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_6d2fcf9f12c3590c_.log 2025-07-17T07:52:50.4675823Z Running 0 items in this shard: 2025-07-17T07:52:50.4676029Z 2025-07-17T07:52:50.4678287Z Running test_mkldnn_fusion 1/1 ... [2025-07-17 07:52:50.467649] 2025-07-17T07:52:50.4678738Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:52:50.4682421Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:52:50.468018] 2025-07-17T07:52:53.7405339Z 2025-07-17T07:52:53.7406644Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_b75c42806b84d2cc_.log 2025-07-17T07:52:53.7407389Z Running 0 items in this shard: 2025-07-17T07:52:53.7407596Z 2025-07-17T07:52:53.7409955Z Running dynamo/test_guard_manager 1/1 ... [2025-07-17 07:52:53.740784] 2025-07-17T07:52:53.7410608Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:52:53.7413789Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:52:53.741123] 2025-07-17T07:52:56.8789110Z 2025-07-17T07:52:56.8790090Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_0987112811800bed_.log 2025-07-17T07:52:56.8790798Z 2025-07-17T07:52:56.8793379Z Running test_shape_ops 1/1 ... [2025-07-17 07:52:56.879170] 2025-07-17T07:52:56.8793784Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:52:56.8797517Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_shape_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:52:56.879537] 2025-07-17T07:53:00.1492016Z 2025-07-17T07:53:00.1492926Z test_shape_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_shape_ops_1.1_7a545bae8e9dc123_.log 2025-07-17T07:53:00.1493688Z Running 0 items in this shard: 2025-07-17T07:53:00.1493881Z 2025-07-17T07:53:00.1495892Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-07-17 07:53:00.149413] 2025-07-17T07:53:00.1496367Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:00.1499632Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:00.149736] 2025-07-17T07:53:03.5190153Z 2025-07-17T07:53:03.5191656Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_5da19ce54938f7bd_.log 2025-07-17T07:53:03.5193204Z Running 0 items in this shard: 2025-07-17T07:53:03.5193476Z 2025-07-17T07:53:03.5195675Z Running export/test_draft_export 1/1 ... [2025-07-17 07:53:03.519341] 2025-07-17T07:53:03.5196349Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:03.5201309Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_draft_export.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:03.519780] 2025-07-17T07:53:06.9396805Z 2025-07-17T07:53:06.9398466Z export/test_draft_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_draft_export_1.1_88513deaa81de5bd_.log 2025-07-17T07:53:06.9399903Z Running 0 items in this shard: 2025-07-17T07:53:06.9400167Z 2025-07-17T07:53:06.9401904Z Running nn/test_load_state_dict 1/1 ... [2025-07-17 07:53:06.939991] 2025-07-17T07:53:06.9402578Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:06.9407432Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_load_state_dict.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:06.940422] 2025-07-17T07:53:10.1600246Z 2025-07-17T07:53:10.1601742Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_223680b758ab9d39_.log 2025-07-17T07:53:10.1603172Z Running 0 items in this shard: 2025-07-17T07:53:10.1603526Z 2025-07-17T07:53:10.1612312Z Running test_indexing 1/1 ... [2025-07-17 07:53:10.160421] 2025-07-17T07:53:10.1612921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:10.1614043Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:10.160770] 2025-07-17T07:53:13.5316691Z 2025-07-17T07:53:13.5317507Z test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_indexing_1.1_c2ee94dcf63674bd_.log 2025-07-17T07:53:13.5318473Z Running 0 items in this shard: 2025-07-17T07:53:13.5318662Z 2025-07-17T07:53:13.5320660Z Running torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-07-17 07:53:13.531885] 2025-07-17T07:53:13.5321253Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:13.5324597Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_index_tricks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:13.532223] 2025-07-17T07:53:16.8043958Z 2025-07-17T07:53:16.8045040Z torch_np/numpy_tests/lib/test_index_tricks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_index_tricks_1.1_7d4c1ead84ee9515_.log 2025-07-17T07:53:16.8046037Z Running 0 items in this shard: 2025-07-17T07:53:16.8046226Z 2025-07-17T07:53:16.8048154Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-07-17 07:53:16.804652] 2025-07-17T07:53:16.8048654Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:16.8052513Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:16.805032] 2025-07-17T07:53:20.0740302Z 2025-07-17T07:53:20.0741420Z torch_np/numpy_tests/core/test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_9e5293d6a0942c8b_.log 2025-07-17T07:53:20.0742351Z Running 0 items in this shard: 2025-07-17T07:53:20.0742539Z 2025-07-17T07:53:20.0744798Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-07-17 07:53:20.074300] 2025-07-17T07:53:20.0745591Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:20.0749038Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:20.074672] 2025-07-17T07:53:23.3442390Z 2025-07-17T07:53:23.3443662Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_e4ebd7e7920d3d37_.log 2025-07-17T07:53:23.3444626Z Running 0 items in this shard: 2025-07-17T07:53:23.3444820Z 2025-07-17T07:53:23.3446650Z Running lazy/test_debug_util 1/1 ... [2025-07-17 07:53:23.344490] 2025-07-17T07:53:23.3447147Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:23.3451075Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_debug_util.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:23.344875] 2025-07-17T07:53:26.5146430Z 2025-07-17T07:53:26.5147417Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_705be47e3c87f1a5_.log 2025-07-17T07:53:26.5148300Z Running 0 items in this shard: 2025-07-17T07:53:26.5148527Z 2025-07-17T07:53:26.5150535Z Running test_xnnpack_integration 1/1 ... [2025-07-17 07:53:26.514881] 2025-07-17T07:53:26.5151031Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:26.5154331Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:26.515215] 2025-07-17T07:53:29.6845656Z 2025-07-17T07:53:29.6846676Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_822339b5cbe76027_.log 2025-07-17T07:53:29.6847827Z Running 0 items in this shard: 2025-07-17T07:53:29.6848019Z 2025-07-17T07:53:29.6849862Z Running test_sparse_csr 1/1 ... [2025-07-17 07:53:29.684822] 2025-07-17T07:53:29.6850282Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:29.6853758Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sparse_csr.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:29.685163] 2025-07-17T07:53:35.3585569Z 2025-07-17T07:53:35.3586634Z test_sparse_csr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.1_9f2181f914653334_.log 2025-07-17T07:53:35.3587366Z Running 0 items in this shard: 2025-07-17T07:53:35.3587582Z 2025-07-17T07:53:35.3589894Z Running lazy/test_generator 1/1 ... [2025-07-17 07:53:35.358776] 2025-07-17T07:53:35.3590351Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:35.3593834Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_generator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:35.359142] 2025-07-17T07:53:38.6788621Z 2025-07-17T07:53:38.6789910Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_e205b0f57ef6c7ab_.log 2025-07-17T07:53:38.6790694Z Running 0 items in this shard: 2025-07-17T07:53:38.6790884Z 2025-07-17T07:53:38.6792249Z Running test_functional_autograd_benchmark 1/1 ... [2025-07-17 07:53:38.679063] 2025-07-17T07:53:38.6792757Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:38.6796527Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:38.679395] 2025-07-17T07:53:41.9506641Z 2025-07-17T07:53:41.9507661Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_5693036bf4e1375c_.log 2025-07-17T07:53:41.9508571Z Running 0 items in this shard: 2025-07-17T07:53:41.9508835Z 2025-07-17T07:53:41.9510449Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-07-17 07:53:41.950870] 2025-07-17T07:53:41.9510965Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:41.9514280Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:41.951200] 2025-07-17T07:53:45.1701534Z 2025-07-17T07:53:45.1702707Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_ad40ecb61be1240e_.log 2025-07-17T07:53:45.1703717Z Running 0 items in this shard: 2025-07-17T07:53:45.1703921Z 2025-07-17T07:53:45.1705520Z Running nn/test_module_hooks 1/1 ... [2025-07-17 07:53:45.170371] 2025-07-17T07:53:45.1705974Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:45.1709400Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_module_hooks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:45.170719] 2025-07-17T07:53:48.4397059Z 2025-07-17T07:53:48.4397977Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_d24b9bc5ea6fa5ab_.log 2025-07-17T07:53:48.4398742Z Running 0 items in this shard: 2025-07-17T07:53:48.4399175Z 2025-07-17T07:53:48.4401426Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-07-17 07:53:48.439899] 2025-07-17T07:53:48.4401982Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:48.4404809Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:48.440239] 2025-07-17T07:53:51.7600361Z 2025-07-17T07:53:51.7601475Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_dd94411da9749c4c_.log 2025-07-17T07:53:51.7602474Z Running 0 items in this shard: 2025-07-17T07:53:51.7602671Z 2025-07-17T07:53:51.7603842Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-07-17 07:53:51.760212] 2025-07-17T07:53:51.7604435Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:51.7607807Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:51.760556] 2025-07-17T07:53:54.9796880Z 2025-07-17T07:53:54.9798101Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_36957dc0e0d1e1dc_.log 2025-07-17T07:53:54.9799103Z Running 0 items in this shard: 2025-07-17T07:53:54.9799311Z 2025-07-17T07:53:54.9807625Z Running test_view_ops 1/1 ... [2025-07-17 07:53:54.980569] 2025-07-17T07:53:54.9808238Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:54.9811776Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_view_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:54.980947] 2025-07-17T07:53:58.3511043Z 2025-07-17T07:53:58.3512257Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_fd365040d000c7f1_.log 2025-07-17T07:53:58.3513799Z Running 0 items in this shard: 2025-07-17T07:53:58.3514135Z 2025-07-17T07:53:58.3516670Z Running test_scatter_gather_ops 1/1 ... [2025-07-17 07:53:58.351471] 2025-07-17T07:53:58.3517340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:53:58.3521333Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_scatter_gather_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:53:58.351896] 2025-07-17T07:54:01.6717981Z 2025-07-17T07:54:01.6718971Z test_scatter_gather_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scatter_gather_ops_1.1_377c9b6a7a22419b_.log 2025-07-17T07:54:01.6719777Z Running 0 items in this shard: 2025-07-17T07:54:01.6719970Z 2025-07-17T07:54:01.6722529Z Running profiler/test_memory_profiler 1/1 ... [2025-07-17 07:54:01.672063] 2025-07-17T07:54:01.6723019Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:01.6726580Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_memory_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:01.672440] 2025-07-17T07:54:04.9920184Z 2025-07-17T07:54:04.9921513Z profiler/test_memory_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_memory_profiler_1.1_81c8e94b15916431_.log 2025-07-17T07:54:04.9922383Z Running 0 items in this shard: 2025-07-17T07:54:04.9922796Z 2025-07-17T07:54:04.9924275Z Running test_unary_ufuncs 1/1 ... [2025-07-17 07:54:04.992244] 2025-07-17T07:54:04.9924933Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:04.9928381Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:04.992586] 2025-07-17T07:54:13.2183334Z 2025-07-17T07:54:13.2184549Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_a884a98b03a236a5_.log 2025-07-17T07:54:13.2185739Z Running 0 items in this shard: 2025-07-17T07:54:13.2186076Z 2025-07-17T07:54:13.2186264Z Running test_cuda_multigpu 1/1 ... [2025-07-17 07:54:13.218389] 2025-07-17T07:54:13.2186674Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:13.2196839Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:13.219420] 2025-07-17T07:54:16.4771183Z 2025-07-17T07:54:16.4772421Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_2f42db564c97240a_.log 2025-07-17T07:54:16.4773183Z Running 0 items in this shard: 2025-07-17T07:54:16.4773375Z 2025-07-17T07:54:16.4775071Z Running torch_np/test_reductions 1/1 ... [2025-07-17 07:54:16.477320] 2025-07-17T07:54:16.4775735Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:16.4779305Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:16.477669] 2025-07-17T07:54:19.8476039Z 2025-07-17T07:54:19.8477492Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_f562205dfdd2ec1a_.log 2025-07-17T07:54:19.8478329Z Running 0 items in this shard: 2025-07-17T07:54:19.8478518Z 2025-07-17T07:54:19.8480411Z Running profiler/test_profiler_tree 1/1 ... [2025-07-17 07:54:19.847833] 2025-07-17T07:54:19.8481010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:19.8484289Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:19.848166] 2025-07-17T07:54:22.9682735Z 2025-07-17T07:54:22.9683987Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_aeefc352970d6e2b_.log 2025-07-17T07:54:22.9684878Z Running 0 items in this shard: 2025-07-17T07:54:22.9685066Z 2025-07-17T07:54:22.9687033Z Running test_type_promotion 1/1 ... [2025-07-17 07:54:22.968501] 2025-07-17T07:54:22.9687665Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:22.9690977Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_type_promotion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:22.968845] 2025-07-17T07:54:26.1376361Z 2025-07-17T07:54:26.1377591Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_b4e34cb35a19eb3d_.log 2025-07-17T07:54:26.1378404Z Running 0 items in this shard: 2025-07-17T07:54:26.1378594Z 2025-07-17T07:54:26.1380511Z Running test_jit_autocast 1/1 ... [2025-07-17 07:54:26.137883] 2025-07-17T07:54:26.1381286Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:26.1384894Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit_autocast.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:26.138228] 2025-07-17T07:54:30.8088630Z 2025-07-17T07:54:30.8089542Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_85fb761fc3a5baa1_.log 2025-07-17T07:54:30.8090337Z Running 0 items in this shard: 2025-07-17T07:54:30.8090571Z 2025-07-17T07:54:30.8092668Z Running profiler/test_record_function 1/1 ... [2025-07-17 07:54:30.809082] 2025-07-17T07:54:30.8093190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:30.8096506Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_record_function.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:30.809424] 2025-07-17T07:54:33.9800539Z 2025-07-17T07:54:33.9801524Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_872ea1ee9f6d1921_.log 2025-07-17T07:54:33.9802409Z Running 0 items in this shard: 2025-07-17T07:54:33.9802615Z 2025-07-17T07:54:33.9805093Z Running test_prims 1/1 ... [2025-07-17 07:54:33.980325] 2025-07-17T07:54:33.9805492Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:33.9808767Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_prims.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:33.980681] 2025-07-17T07:54:38.3545405Z 2025-07-17T07:54:38.3546226Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_78c1390e00c72295_.log 2025-07-17T07:54:38.3547149Z Running 0 items in this shard: 2025-07-17T07:54:38.3547350Z 2025-07-17T07:54:38.3549326Z Running lazy/test_reuse_ir 1/1 ... [2025-07-17 07:54:38.354757] 2025-07-17T07:54:38.3549804Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:38.3553064Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:38.355087] 2025-07-17T07:54:41.5744508Z 2025-07-17T07:54:41.5745412Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_f5e5df3b0d5e9df7_.log 2025-07-17T07:54:41.5747803Z Running 0 items in this shard: 2025-07-17T07:54:41.5748207Z 2025-07-17T07:54:41.5749249Z Running profiler/test_execution_trace 1/1 ... [2025-07-17 07:54:41.574709] 2025-07-17T07:54:41.5749755Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:41.5753043Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_execution_trace.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:41.575068] 2025-07-17T07:54:44.7950947Z 2025-07-17T07:54:44.7951957Z profiler/test_execution_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_execution_trace_1.1_5704f3d3c88ba2f4_.log 2025-07-17T07:54:44.7952840Z Running 0 items in this shard: 2025-07-17T07:54:44.7953032Z 2025-07-17T07:54:44.7955174Z Running profiler/test_torch_tidy 1/1 ... [2025-07-17 07:54:44.795336] 2025-07-17T07:54:44.7955701Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:44.7959027Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:44.795666] 2025-07-17T07:54:47.9646823Z 2025-07-17T07:54:47.9648131Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_10e361f1e22ce75e_.log 2025-07-17T07:54:47.9649223Z Running 0 items in this shard: 2025-07-17T07:54:47.9649429Z 2025-07-17T07:54:47.9649726Z Running test_rename_privateuse1_to_existing_device 1/1 ... [2025-07-17 07:54:47.964699] 2025-07-17T07:54:47.9650380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:47.9653167Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_rename_privateuse1_to_existing_device.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:47.965063] 2025-07-17T07:54:51.1409409Z 2025-07-17T07:54:51.1410530Z test_rename_privateuse1_to_existing_device 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_rename_privateuse1_to_existing_device_1.1_ffb8055cb6b5e191_.log 2025-07-17T07:54:51.1411506Z Running 0 items in this shard: 2025-07-17T07:54:51.1411693Z 2025-07-17T07:54:53.9582469Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:54:53.9585226Z import pkg_resources 2025-07-17T07:54:53.9917035Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:54:53.9920300Z import pkg_resources 2025-07-17T07:54:53.9944866Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:54:53.9947648Z import pkg_resources 2025-07-17T07:54:54.2663682Z Running functorch/test_ops 8/8 ... [2025-07-17 07:54:54.265894] 2025-07-17T07:54:54.2664435Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:54.2667316Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=8', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:54.266403] 2025-07-17T07:54:54.2676475Z Running inductor/test_aot_inductor_arrayref 1/1 ... [2025-07-17 07:54:54.267333] 2025-07-17T07:54:54.2677356Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:54.2678163Z Running dynamo/cpython/3_13/test_generators 1/1 ... [2025-07-17 07:54:54.267414] 2025-07-17T07:54:54.2679014Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:54:54.2681072Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor_arrayref.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:54.267730] 2025-07-17T07:54:54.2684446Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_generators.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:54:54.267788] 2025-07-17T07:54:59.9413733Z 2025-07-17T07:54:59.9415487Z dynamo/cpython/3_13/test_generators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_generators_1.1_8430c9abbe5dc8a9_.log 2025-07-17T07:54:59.9450918Z Running 43 items in this shard: test/dynamo/cpython/3_13/test_generators.py::SignalAndYieldFromTest::test_raise_and_yield_from, test/dynamo/cpython/3_13/test_generators.py::FinalizationTest::test_frame_resurrect, test/dynamo/cpython/3_13/test_generators.py::FinalizationTest::test_lambda_generator, test/dynamo/cpython/3_13/test_generators.py::FinalizationTest::test_refcycle, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_ag_frame_f_back, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_copy, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_cr_frame_f_back, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_genexpr_only_calls_dunder_iter_once, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_gi_frame_f_back, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_handle_frame_object_in_creation, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_issue103488, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_name, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_pickle, test/dynamo/cpython/3_13/test_generators.py::GeneratorTest::test_send_non_none_to_new_gen, test/dynamo/cpython/3_13/test_generators.py::ModifyUnderlyingIterableTest::test_modify_f_locals, test/dynamo/cpython/3_13/test_generators.py::ModifyUnderlyingIterableTest::test_new_gen_from_gi_code, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_except_gen_except, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_except_next, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_except_throw, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_except_throw_bad_exception, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_except_throw_exception_context, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_gen_3_arg_deprecation_warning, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_nested_gen_except_loop, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_return_stopiteration, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_return_tuple, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_stopiteration_error, test/dynamo/cpython/3_13/test_generators.py::ExceptionTest::test_tutorial_stopiteration, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_closed, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_exhausted, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_no_return_value, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_not_catching_exit, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_not_started, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_raises, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_releases_frame_locals, test/dynamo/cpython/3_13/test_generators.py::GeneratorCloseTest::test_close_return_value, test/dynamo/cpython/3_13/test_generators.py::GeneratorThrowTest::test_exception_context_with_yield, test/dynamo/cpython/3_13/test_generators.py::GeneratorThrowTest::test_exception_context_with_yield_from, test/dynamo/cpython/3_13/test_generators.py::GeneratorThrowTest::test_exception_context_with_yield_from_with_context_cycle, test/dynamo/cpython/3_13/test_generators.py::GeneratorThrowTest::test_exception_context_with_yield_inside_generator, test/dynamo/cpython/3_13/test_generators.py::GeneratorThrowTest::test_throw_after_none_exc_type, test/dynamo/cpython/3_13/test_generators.py::GeneratorStackTraceTest::test_send_with_yield_from, test/dynamo/cpython/3_13/test_generators.py::GeneratorStackTraceTest::test_throw_with_yield_from, test/dynamo/cpython/3_13/test_generators.py::YieldFromTests::test_generator_gi_yieldfrom 2025-07-17T07:54:59.9485481Z 2025-07-17T07:55:02.5363407Z 2025-07-17T07:55:02.5365344Z inductor/test_aot_inductor_arrayref 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_arrayref_1.1_7230a4a19c306860_.log 2025-07-17T07:55:02.5366181Z 2025-07-17T07:55:03.5683921Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:55:03.5686757Z import pkg_resources 2025-07-17T07:55:03.7274957Z Running dynamo/cpython/3_13/test_contextlib 1/1 ... [2025-07-17 07:55:03.727003] 2025-07-17T07:55:03.7275903Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:55:03.7283711Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_contextlib.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:55:03.727893] 2025-07-17T07:55:06.2281101Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:55:06.2283906Z import pkg_resources 2025-07-17T07:55:06.3589252Z Running dynamo/cpython/3_13/test_raise 1/1 ... [2025-07-17 07:55:06.358534] 2025-07-17T07:55:06.3590338Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:55:06.3593476Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_raise.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:55:06.358974] 2025-07-17T07:55:08.8018252Z 2025-07-17T07:55:08.8019811Z dynamo/cpython/3_13/test_contextlib 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_contextlib_1.1_b0756eb85c525987_.log 2025-07-17T07:55:08.8058138Z Running 91 items in this shard: test/dynamo/cpython/3_13/test_contextlib.py::TestAbstractContextManager::test_enter, test/dynamo/cpython/3_13/test_contextlib.py::TestAbstractContextManager::test_exit_is_abstract, test/dynamo/cpython/3_13/test_contextlib.py::TestAbstractContextManager::test_slots, test/dynamo/cpython/3_13/test_contextlib.py::TestAbstractContextManager::test_structural_subclassing, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_attribs, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_do_not_unchain_non_stopiteration_exceptions, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_doc_attrib, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_except, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_except_pep479, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_except_stopiter, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_finally, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_no_reraise, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_non_normalised, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_plain, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_traceback, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_trap_no_yield, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_trap_second_yield, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_trap_yield_after_throw, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_contextmanager_wrap_runtimeerror, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_instance_docstring_given_cm_docstring, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_keywords, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_nokeepref, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_param_errors, test/dynamo/cpython/3_13/test_contextlib.py::ContextManagerTestCase::test_recursive, test/dynamo/cpython/3_13/test_contextlib.py::ClosingTestCase::test_closing, test/dynamo/cpython/3_13/test_contextlib.py::ClosingTestCase::test_closing_error, test/dynamo/cpython/3_13/test_contextlib.py::ClosingTestCase::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::NullcontextTestCase::test_nullcontext, test/dynamo/cpython/3_13/test_contextlib.py::FileContextTestCase::testWithOpen, test/dynamo/cpython/3_13/test_contextlib.py::LockContextTestCase::testWithBoundedSemaphore, test/dynamo/cpython/3_13/test_contextlib.py::LockContextTestCase::testWithCondition, test/dynamo/cpython/3_13/test_contextlib.py::LockContextTestCase::testWithLock, test/dynamo/cpython/3_13/test_contextlib.py::LockContextTestCase::testWithRLock, test/dynamo/cpython/3_13/test_contextlib.py::LockContextTestCase::testWithSemaphore, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_contextdecorator, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_contextdecorator_as_mixin, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_contextdecorator_with_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_contextmanager_as_decorator, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_decorating_method, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_decorator, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_decorator_with_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_typo_enter, test/dynamo/cpython/3_13/test_contextlib.py::TestContextDecorator::test_typo_exit, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_body_exception_suppress, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_callback, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_close, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_dont_reraise_RuntimeError, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_enter_context, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_enter_context_errors, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_excessive_nesting, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_chaining, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_chaining_reference, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_chaining_suppress, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_explicit_none_context, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_non_suppressing, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_traceback, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_with_correct_context, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_exception_with_existing_context, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_raise, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_exit_suppress, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_instance_bypass, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_no_resources, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_pop_all, test/dynamo/cpython/3_13/test_contextlib.py::TestExitStack::test_push, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_cm_is_reentrant, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_cm_is_reusable, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_enter_result_is_target, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_no_redirect_in_init, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStdout::test_redirect_to_string_io, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_cm_is_reentrant, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_cm_is_reusable, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_enter_result_is_target, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_no_redirect_in_init, test/dynamo/cpython/3_13/test_contextlib.py::TestRedirectStderr::test_redirect_to_string_io, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_cm_is_reentrant, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_exact_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_exception_groups, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_exception_hierarchy, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_instance_docs, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_multiple_exception_args, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_no_args, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_no_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_no_result_from_enter, test/dynamo/cpython/3_13/test_contextlib.py::TestSuppress::test_other_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestChdir::test_exception, test/dynamo/cpython/3_13/test_contextlib.py::TestChdir::test_reentrant, test/dynamo/cpython/3_13/test_contextlib.py::TestChdir::test_simple 2025-07-17T07:55:08.8094058Z 2025-07-17T07:55:10.7822062Z 2025-07-17T07:55:10.7824221Z dynamo/cpython/3_13/test_raise 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_raise_1.1_95ce328dad68d819_.log 2025-07-17T07:55:10.7846771Z Running 37 items in this shard: test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_assert_with_tuple_arg, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_erroneous_exception, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_except_reraise, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_finally_reraise, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_invalid_reraise, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_nested_reraise, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_new_returns_invalid_instance, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_raise_from_None, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_reraise, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_with_reraise1, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_with_reraise2, test/dynamo/cpython/3_13/test_raise.py::TestRaise::test_yield_reraise, test/dynamo/cpython/3_13/test_raise.py::TestCause::testCauseSyntax, test/dynamo/cpython/3_13/test_raise.py::TestCause::test_class_cause, test/dynamo/cpython/3_13/test_raise.py::TestCause::test_class_cause_nonexception_result, test/dynamo/cpython/3_13/test_raise.py::TestCause::test_erroneous_cause, test/dynamo/cpython/3_13/test_raise.py::TestCause::test_instance_cause, test/dynamo/cpython/3_13/test_raise.py::TestCause::test_invalid_cause, test/dynamo/cpython/3_13/test_raise.py::TestTraceback::test_accepts_traceback, test/dynamo/cpython/3_13/test_raise.py::TestTraceback::test_sets_traceback, test/dynamo/cpython/3_13/test_raise.py::TestTracebackType::test_attrs, test/dynamo/cpython/3_13/test_raise.py::TestTracebackType::test_constructor, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_3118, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_3611, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_c_exception_context, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_c_exception_raise, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_class_context_class_raise, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_class_context_instance_raise, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_context_manager, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_cycle_broken, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_instance_context_instance_raise, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_noraise_finally, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_not_last, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_raise_finally, test/dynamo/cpython/3_13/test_raise.py::TestContext::test_reraise_cycle_broken, test/dynamo/cpython/3_13/test_raise.py::TestRemovedFunctionality::test_strings, test/dynamo/cpython/3_13/test_raise.py::TestRemovedFunctionality::test_tuples 2025-07-17T07:55:10.7869113Z 2025-07-17T07:55:12.5381784Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:55:12.5384030Z import pkg_resources 2025-07-17T07:55:12.6662701Z Running dynamo/cpython/3_13/test_exceptions 1/1 ... [2025-07-17 07:55:12.665807] 2025-07-17T07:55:12.6663565Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:55:12.6665586Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_exceptions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:55:12.666191] 2025-07-17T07:55:14.4333512Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:55:14.4336995Z import pkg_resources 2025-07-17T07:55:14.6220253Z Running dynamo/cpython/3_13/test_sys 1/1 ... [2025-07-17 07:55:14.621542] 2025-07-17T07:55:14.6221361Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:55:14.6224090Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_sys.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:55:14.622028] 2025-07-17T07:55:20.8094541Z 2025-07-17T07:55:20.8096718Z dynamo/cpython/3_13/test_sys 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_sys_1.1_a9ffaf1f4b509063_.log 2025-07-17T07:55:20.8156698Z Running 79 items in this shard: test/dynamo/cpython/3_13/test_sys.py::DisplayHookTest::test_custom_displayhook, test/dynamo/cpython/3_13/test_sys.py::DisplayHookTest::test_lost_displayhook, test/dynamo/cpython/3_13/test_sys.py::DisplayHookTest::test_original_displayhook, test/dynamo/cpython/3_13/test_sys.py::ActiveExceptionTests::test_exc_info_no_exception, test/dynamo/cpython/3_13/test_sys.py::ActiveExceptionTests::test_exc_info_with_exception_instance, test/dynamo/cpython/3_13/test_sys.py::ActiveExceptionTests::test_exc_info_with_exception_type, test/dynamo/cpython/3_13/test_sys.py::ActiveExceptionTests::test_sys_exception_no_exception, test/dynamo/cpython/3_13/test_sys.py::ActiveExceptionTests::test_sys_exception_with_exception_instance, test/dynamo/cpython/3_13/test_sys.py::ActiveExceptionTests::test_sys_exception_with_exception_type, test/dynamo/cpython/3_13/test_sys.py::ExceptHookTest::test_excepthook, test/dynamo/cpython/3_13/test_sys.py::ExceptHookTest::test_excepthook_bytes_filename, test/dynamo/cpython/3_13/test_sys.py::ExceptHookTest::test_original_excepthook, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_43581, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test__enablelegacywindowsfsencoding, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_attributes, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_c_locale_surrogateescape, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_call_tracing, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_clear_type_cache, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_current_exceptions, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_current_frames, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_debugmallocstats, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_disable_gil_abi, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_dlopenflags, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_emscripten_info, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_executable, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_exit, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_exit_codes_under_repl, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getallocatedblocks, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getandroidapilevel, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getdefaultencoding, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getfilesystemencoding, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getframe, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getframemodulename, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getobjects, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getrecursionlimit, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_getwindowsversion, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_implementation, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_intern, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_ioencoding, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_ioencoding_nonascii, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_is_finalizing, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_is_gil_enabled, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_issue20602, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_module_names, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_no_duplicates_in_meta_path, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_orig_argv, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_posix_locale_surrogateescape, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_pystats, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_racing_recursion_limit, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_recursionlimit_recovery, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_refcount, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_setrecursionlimit, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_setrecursionlimit_to_depth, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_stdlib_dir, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_subinterp_intern_dynamically_allocated, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_subinterp_intern_singleton, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_subinterp_intern_statically_allocated, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_switchinterval, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_sys_flags, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_sys_flags_no_instantiation, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_sys_getwindowsversion_no_instantiation, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_sys_ignores_cleaning_up_user_data, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_sys_tracebacklimit, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_sys_version_info_no_instantiation, test/dynamo/cpython/3_13/test_sys.py::SysModuleTest::test_thread_info, test/dynamo/cpython/3_13/test_sys.py::UnraisableHookTest::test_custom_unraisablehook, test/dynamo/cpython/3_13/test_sys.py::UnraisableHookTest::test_custom_unraisablehook_fail, test/dynamo/cpython/3_13/test_sys.py::UnraisableHookTest::test_original_unraisablehook, test/dynamo/cpython/3_13/test_sys.py::UnraisableHookTest::test_original_unraisablehook_err, test/dynamo/cpython/3_13/test_sys.py::UnraisableHookTest::test_original_unraisablehook_exception_qualname, test/dynamo/cpython/3_13/test_sys.py::UnraisableHookTest::test_original_unraisablehook_wrong_type, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_asyncgen_hooks, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_changing_sys_stderr_and_removing_reference, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_default, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_errors, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_gc_head_size, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_objecttypes, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_pythontypes, test/dynamo/cpython/3_13/test_sys.py::SizeofTest::test_slots 2025-07-17T07:55:20.8210358Z 2025-07-17T07:55:24.7838540Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:55:24.7841896Z import pkg_resources 2025-07-17T07:55:24.9687631Z Running test_jit_fuser_te 1/1 ... [2025-07-17 07:55:24.967755] 2025-07-17T07:55:24.9688332Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:55:24.9690108Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit_fuser_te.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:55:24.968220] 2025-07-17T07:55:31.2690764Z 2025-07-17T07:55:31.2693202Z dynamo/cpython/3_13/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_exceptions_1.1_fa3dded394c72e44_.log 2025-07-17T07:55:31.2764932Z Running 102 items in this shard: test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testAttributes, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testChainingAttrs, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testChainingDescriptors, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testExceptionCleanupState, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testInfiniteRecursion, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testInvalidTraceback, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testKeywordArgs, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testMemoryErrorBigSource, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testNoneClearsTracebackAttr, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testRaising, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testSettingException, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testSyntaxErrorMessage, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testSyntaxErrorMissingParens, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testSyntaxErrorOffset, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::testWithTraceback, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_3114, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_MemoryError, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_WindowsError, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_assert_shadowing, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_badisinstance, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_context_of_exception_in_else_and_finally, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_context_of_exception_in_except_and_finally, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_context_of_exception_in_try_and_finally, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_errno_ENOTDIR, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_error_offset_continuation_characters, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_exception_cleanup_names, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_exception_cleanup_names2, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_exception_target_in_nested_scope, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_exception_with_doc, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_close_cleanup_exc_state, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_del_cleanup_exc_state, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_doesnt_retain_old_exc, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_doesnt_retain_old_exc2, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_finalizing_and_sys_exception, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_leaking, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_leaking2, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_leaking3, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_leaking4, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_next_cleanup_exc_state, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_send_cleanup_exc_state, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_generator_throw_cleanup_exc_state, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_invalid_delattr, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_invalid_setattr, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_invalid_setstate, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_memory_error_cleanup, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_memory_error_in_PyErr_PrintEx, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_memory_error_in_subinterp, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_memory_error_subclasses, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_no_hang_on_context_chain_cycle1, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_no_hang_on_context_chain_cycle2, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_no_hang_on_context_chain_cycle3, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_notes, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_raise_does_not_create_context_chain_cycle, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_raise_in_generator, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_recursion_error_cleanup, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_recursion_in_except_handler, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_recursion_normalizing_exception, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_recursion_normalizing_infinite_exception, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_recursion_normalizing_with_no_memory, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_setstate, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_str, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_trashcan_recursion, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_unhandled, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_unicode_change_attributes, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_unicode_error_str_does_not_crash, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_unicode_errors_no_object, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_unraisable, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_windows_message, test/dynamo/cpython/3_13/test_exceptions.py::ExceptionTests::test_yield_in_nested_try_excepts, test/dynamo/cpython/3_13/test_exceptions.py::NameErrorTests::test_gh_111654, test/dynamo/cpython/3_13/test_exceptions.py::NameErrorTests::test_issue45826, test/dynamo/cpython/3_13/test_exceptions.py::NameErrorTests::test_issue45826_focused, test/dynamo/cpython/3_13/test_exceptions.py::NameErrorTests::test_name_error_has_name, test/dynamo/cpython/3_13/test_exceptions.py::AttributeErrorTests::test_attributes, test/dynamo/cpython/3_13/test_exceptions.py::AttributeErrorTests::test_getattr_has_name_and_obj, test/dynamo/cpython/3_13/test_exceptions.py::AttributeErrorTests::test_getattr_has_name_and_obj_for_method, test/dynamo/cpython/3_13/test_exceptions.py::ImportErrorTests::test_attributes, test/dynamo/cpython/3_13/test_exceptions.py::ImportErrorTests::test_copy_pickle, test/dynamo/cpython/3_13/test_exceptions.py::ImportErrorTests::test_non_str_argument, test/dynamo/cpython/3_13/test_exceptions.py::ImportErrorTests::test_reset_attributes, test/dynamo/cpython/3_13/test_exceptions.py::AssertionErrorTests::test_assertion_error_location, test/dynamo/cpython/3_13/test_exceptions.py::AssertionErrorTests::test_multiline_not_highlighted, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_attributes_new_constructor, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_attributes_old_constructor, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_encodings, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_file_source, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_incorrect_constructor, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_non_utf8, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_range_of_offsets, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_string_source, test/dynamo/cpython/3_13/test_exceptions.py::SyntaxErrorTests::test_subclass, test/dynamo/cpython/3_13/test_exceptions.py::TestInvalidExceptionMatcher::test_except_star_invalid_exception_type, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_after_other_except, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_after_raise_in_except, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_after_raise_in_with_exit, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_after_raise_simple, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_after_with, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_in_finally_except, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_in_finally_normal, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_in_named_except, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_lineno_in_try, test/dynamo/cpython/3_13/test_exceptions.py::PEP626Tests::test_missing_lineno_shows_as_none 2025-07-17T07:55:31.2853119Z 2025-07-17T07:55:34.5924445Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:55:34.5928247Z import pkg_resources 2025-07-17T07:55:34.7218933Z Running inductor/test_cudagraph_trees 1/1 ... [2025-07-17 07:55:34.721485] 2025-07-17T07:55:34.7219570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:55:34.7222205Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:55:34.721893] 2025-07-17T07:55:42.2959043Z 2025-07-17T07:55:42.2960612Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_30ff6bdc83028576_.log 2025-07-17T07:55:42.2962037Z 2025-07-17T07:55:45.8424064Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:55:45.8427439Z import pkg_resources 2025-07-17T07:55:45.9716394Z Running inductor/test_compile_subprocess 1/1 ... [2025-07-17 07:55:45.970767] 2025-07-17T07:55:45.9716999Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:55:45.9718187Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_compile_subprocess.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:55:45.971202] 2025-07-17T07:55:55.0741937Z 2025-07-17T07:55:55.0744100Z inductor/test_compile_subprocess 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.1_2d7d980419177d3e_.log 2025-07-17T07:55:55.0745541Z 2025-07-17T07:55:58.5189817Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:55:58.5191403Z import pkg_resources 2025-07-17T07:55:58.6462333Z Running inductor/test_inplace_padding 1/1 ... [2025-07-17 07:55:58.645718] 2025-07-17T07:55:58.6463464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:55:58.6466471Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_inplace_padding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:55:58.646198] 2025-07-17T07:56:06.6133155Z 2025-07-17T07:56:06.6134483Z inductor/test_inplace_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inplace_padding_1.1_1279b94493b534d5_.log 2025-07-17T07:56:06.6135488Z 2025-07-17T07:56:09.9754060Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:56:09.9756887Z import pkg_resources 2025-07-17T07:56:10.1021593Z Running inductor/test_fuzzer 1/1 ... [2025-07-17 07:56:10.101793] 2025-07-17T07:56:10.1022307Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:56:10.1025813Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fuzzer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:56:10.102239] 2025-07-17T07:56:17.8791809Z 2025-07-17T07:56:17.8793569Z inductor/test_fuzzer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fuzzer_1.1_2c808a9725b5fdb2_.log 2025-07-17T07:56:17.8795374Z 2025-07-17T07:56:21.2178826Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:56:21.2181808Z import pkg_resources 2025-07-17T07:56:21.3431245Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-07-17 07:56:21.342691] 2025-07-17T07:56:21.3432144Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:56:21.3434981Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:56:21.343134] 2025-07-17T07:57:30.7617789Z 2025-07-17T07:57:30.7619631Z higher_order_ops/test_invoke_subgraph 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_43e4be3cfa441f09_.log 2025-07-17T07:57:30.7677073Z Running 66 items in this shard: test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_aot_function, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_multiple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_simple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_auto_functionalize, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_autograd_function, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_buffer_mutation_errors_under_training, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_buffer_mutation_works_under_no_grad, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_bwd_partitioning, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_complex, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_const_tensor, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dce, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dedupe, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_different_strides_in_backward, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_different_symint, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_differing_strides_for_grad_outs, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_div, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dropout_checks_joint_graph, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dropout_checks_joint_graph_inference, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dynamic, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_fail_with_direct_invoke_subgraph, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_fake_tensor_checking, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_gen_schema, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_gen_schema_with_buffer_mutation, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_input_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_inference_mode, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_mutiple_times, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_mutiple_times_fake_tensor_cahche_hit, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_output_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_kwargs_only, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_list, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_mod_attr_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module_forward, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module_method, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_nonlocal_update, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_normalize_gm, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_output_output_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_pending_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_preserves_output_strides, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_preserves_strides, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_redundant_compile_region, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_return_none, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_return_none_from_fwd, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_simple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_simple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_symint_from_fwd_to_bwd, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_triton_kernel_native, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_tuple_of_tuple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_unbacked_symbol, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_view_to_reshape, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_pending_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_simple_func, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_simple_method, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_pending_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_simple_func, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_simple_method, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_unbacked, test/higher_order_ops/test_invoke_subgraph.py::NegativeTesting::test_graph_break 2025-07-17T07:57:30.7726473Z 2025-07-17T07:57:33.9145881Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:57:33.9147819Z import pkg_resources 2025-07-17T07:57:34.0427540Z Running test_numba_integration 1/1 ... [2025-07-17 07:57:34.042369] 2025-07-17T07:57:34.0429739Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:57:34.0431493Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_numba_integration.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:57:34.042748] 2025-07-17T07:57:37.5630814Z 2025-07-17T07:57:37.5632288Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_dc222bd79f1282b3_.log 2025-07-17T07:57:37.5643120Z Running 8 items in this shard: test/test_numba_integration.py::TestNumbaIntegration::test_active_device, test/test_numba_integration.py::TestNumbaIntegration::test_array_adaptor, test/test_numba_integration.py::TestNumbaIntegration::test_conversion_errors, test/test_numba_integration.py::TestNumbaIntegration::test_cuda_array_interface, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface_active_device, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface_inferred_strides, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface_lifetime 2025-07-17T07:57:37.5649327Z 2025-07-17T07:57:41.4312514Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:57:41.4315589Z import pkg_resources 2025-07-17T07:57:41.5809326Z Running export/test_torchbind 1/1 ... [2025-07-17 07:57:41.580532] 2025-07-17T07:57:41.5810459Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:57:41.5813235Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_torchbind.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:57:41.580962] 2025-07-17T07:58:01.1035526Z 2025-07-17T07:58:01.1036464Z export/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_torchbind_1.1_d7a7a41960be0214_.log 2025-07-17T07:58:01.1072350Z Running 70 items in this shard: test/export/test_torchbind.py::TestExportTorchbind::test_aot_export_tensor_queue_operators, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_as_custom_op_argument_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_as_custom_op_argument_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_list_out_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_list_out_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_tuple_out_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_tuple_out_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_unbacked_symint_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_unbacked_symint_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_deepcopy, test/export/test_torchbind.py::TestExportTorchbind::test_export_inplace_custom_op, test/export/test_torchbind.py::TestExportTorchbind::test_identifying_torchbind_ops, test/export/test_torchbind.py::TestExportTorchbind::test_input_as_custom_op_argument_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_input_as_custom_op_argument_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_input_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_input_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_schema_checking_script_object, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_fakify_internal_states_make_fx_tracing_mode_fake, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_fakify_internal_states_make_fx_tracing_mode_symbolic, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_make_fx_tracing_mode_fake, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_make_fx_tracing_mode_symbolic, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_operators_fallthrough_via_lib_impl, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_operators_fallthrough_via_py_impl, test/export/test_torchbind.py::TestExportTorchbind::test_method_schema, test/export/test_torchbind.py::TestExportTorchbind::test_non_strict_export_methods, test/export/test_torchbind.py::TestExportTorchbind::test_none_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_none_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_safe_to_trace_with_real, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_alias_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_alias_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_input_and_alias_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_input_and_alias_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_op_fallthrough_keys_respects_lib_impl, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_op_register_fallthrough, test/export/test_torchbind.py::TestExportTorchbind::test_unlift_custom_obj_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_unlift_custom_obj_pre_dispatch_True, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_body_aliasing_contents_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_body_aliasing_contents_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_input_aliasing_contents_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_input_aliasing_contents_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_non_fakified_method_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_non_fakified_method_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_missing_attr_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_missing_attr_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_setattr_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_setattr_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_global_obj_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_global_obj_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_as_hop_input_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_as_hop_input_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_attributes_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_attributes_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_closure_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_closure_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_graph_breaks, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_torchbind_op_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_torchbind_op_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_automatic_dynamic_shape, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_guards_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_guards_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_tensor_op_in_tensor_flatten_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_tensor_op_in_tensor_flatten_backend_eager, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_from_real_not_classmethod, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_no_from_real, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_no_torch_bind_class, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_valid 2025-07-17T07:58:01.1102623Z 2025-07-17T07:58:04.4675146Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:58:04.4678615Z import pkg_resources 2025-07-17T07:58:04.5978741Z Running dynamo/test_logging 1/1 ... [2025-07-17 07:58:04.597039] 2025-07-17T07:58:04.5979723Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:58:04.5981730Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_logging.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:58:04.597508] 2025-07-17T07:58:12.0732368Z 2025-07-17T07:58:12.0733761Z dynamo/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_logging_1.1_ce9489487fa3e349_.log 2025-07-17T07:58:12.0734998Z 2025-07-17T07:58:15.2196199Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:58:15.2199084Z import pkg_resources 2025-07-17T07:58:15.3477892Z Running dynamo/test_activation_checkpointing 1/1 ... [2025-07-17 07:58:15.347359] 2025-07-17T07:58:15.3478497Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:58:15.3481431Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_activation_checkpointing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:58:15.347732] 2025-07-17T07:58:22.7298193Z 2025-07-17T07:58:22.7300066Z dynamo/test_activation_checkpointing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_activation_checkpointing_1.1_59f83bc9471e0e32_.log 2025-07-17T07:58:22.7301539Z 2025-07-17T07:58:26.0033381Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:58:26.0036438Z import pkg_resources 2025-07-17T07:58:26.1306428Z Running dynamo/test_exc 1/1 ... [2025-07-17 07:58:26.130073] 2025-07-17T07:58:26.1309101Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:58:26.1313022Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_exc.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:58:26.130521] 2025-07-17T07:58:29.3239442Z 2025-07-17T07:58:29.3240807Z dynamo/test_exc 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exc_1.1_0bb3dbae164535b1_.log 2025-07-17T07:58:29.3241487Z 2025-07-17T07:58:31.9862208Z 2025-07-17T07:58:31.9864613Z test_jit_fuser_te 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_fuser_te_1.1_89a076ba736b52dd_.log 2025-07-17T07:58:32.3906422Z Running 6857 items in this shard: test/test_jit_fuser_te.py::TestFuserCommon::test_autodiff_fallback, test/test_jit_fuser_te.py::TestTEFuserStatic::test_abs, test/test_jit_fuser_te.py::TestTEFuserStatic::test_adaptive_avg_pool2d, test/test_jit_fuser_te.py::TestTEFuserStatic::test_add_bool, test/test_jit_fuser_te.py::TestTEFuserStatic::test_addcmul, test/test_jit_fuser_te.py::TestTEFuserStatic::test_arg_configurations_smoke, test/test_jit_fuser_te.py::TestTEFuserStatic::test_autocast_down, test/test_jit_fuser_te.py::TestTEFuserStatic::test_autocast_up, test/test_jit_fuser_te.py::TestTEFuserStatic::test_batch_norm, test/test_jit_fuser_te.py::TestTEFuserStatic::test_binary_div_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_binary_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_binary_pow, test/test_jit_fuser_te.py::TestTEFuserStatic::test_binary_scalar_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_binary_tensor_scalar_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_bitwise_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_broadcast, test/test_jit_fuser_te.py::TestTEFuserStatic::test_cat_2k_args, test/test_jit_fuser_te.py::TestTEFuserStatic::test_cat_graph_opt, test/test_jit_fuser_te.py::TestTEFuserStatic::test_channels_last_dims_dynamic, test/test_jit_fuser_te.py::TestTEFuserStatic::test_checks_cat_inputs, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk_correctness, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk_distributes, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk_motion_deduplicates_inputs, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk_mul_one, test/test_jit_fuser_te.py::TestTEFuserStatic::test_chunk_multiple, test/test_jit_fuser_te.py::TestTEFuserStatic::test_clamp, test/test_jit_fuser_te.py::TestTEFuserStatic::test_clamp_double, test/test_jit_fuser_te.py::TestTEFuserStatic::test_clamp_int, test/test_jit_fuser_te.py::TestTEFuserStatic::test_comparison_eq_ne, test/test_jit_fuser_te.py::TestTEFuserStatic::test_comparison_ge_le, test/test_jit_fuser_te.py::TestTEFuserStatic::test_comparison_gt_lt, test/test_jit_fuser_te.py::TestTEFuserStatic::test_concat, test/test_jit_fuser_te.py::TestTEFuserStatic::test_concat_invariant, test/test_jit_fuser_te.py::TestTEFuserStatic::test_constant_chunk_shapes, test/test_jit_fuser_te.py::TestTEFuserStatic::test_conv2d, test/test_jit_fuser_te.py::TestTEFuserStatic::test_conv2d_depthwise, test/test_jit_fuser_te.py::TestTEFuserStatic::test_cuda_half, test/test_jit_fuser_te.py::TestTEFuserStatic::test_dims, test/test_jit_fuser_te.py::TestTEFuserStatic::test_disabled, test/test_jit_fuser_te.py::TestTEFuserStatic::test_div_bool, test/test_jit_fuser_te.py::TestTEFuserStatic::test_dynamic_cat, test/test_jit_fuser_te.py::TestTEFuserStatic::test_dynamic_shapes, test/test_jit_fuser_te.py::TestTEFuserStatic::test_eq_unsqueeze_type_as, test/test_jit_fuser_te.py::TestTEFuserStatic::test_erf, test/test_jit_fuser_te.py::TestTEFuserStatic::test_exhaust_specializations, test/test_jit_fuser_te.py::TestTEFuserStatic::test_exp, test/test_jit_fuser_te.py::TestTEFuserStatic::test_fusion_reuse_multi_gpu, test/test_jit_fuser_te.py::TestTEFuserStatic::test_gelu, test/test_jit_fuser_te.py::TestTEFuserStatic::test_hardsigmoid_fwd_bwd, test/test_jit_fuser_te.py::TestTEFuserStatic::test_hardswish_fwd_bwd, test/test_jit_fuser_te.py::TestTEFuserStatic::test_inlined_optimized_graph, test/test_jit_fuser_te.py::TestTEFuserStatic::test_isnan, test/test_jit_fuser_te.py::TestTEFuserStatic::test_kernel_cache_multi_gpu, test/test_jit_fuser_te.py::TestTEFuserStatic::test_lerp, test/test_jit_fuser_te.py::TestTEFuserStatic::test_list_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_lstm, test/test_jit_fuser_te.py::TestTEFuserStatic::test_lstm_concat, test/test_jit_fuser_te.py::TestTEFuserStatic::test_lstm_gates_permutations, test/test_jit_fuser_te.py::TestTEFuserStatic::test_lstm_traced, test/test_jit_fuser_te.py::TestTEFuserStatic::test_masked_fill, test/test_jit_fuser_te.py::TestTEFuserStatic::test_matmul, test/test_jit_fuser_te.py::TestTEFuserStatic::test_milstm, test/test_jit_fuser_te.py::TestTEFuserStatic::test_minmax, test/test_jit_fuser_te.py::TestTEFuserStatic::test_minmax_int_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_mul_bool, test/test_jit_fuser_te.py::TestTEFuserStatic::test_neg_pow, test/test_jit_fuser_te.py::TestTEFuserStatic::test_nonzero_device_cuda, test/test_jit_fuser_te.py::TestTEFuserStatic::test_nop, test/test_jit_fuser_te.py::TestTEFuserStatic::test_pow_multiple_dtype, test/test_jit_fuser_te.py::TestTEFuserStatic::test_profiler, test/test_jit_fuser_te.py::TestTEFuserStatic::test_rand_broadcast_cuda, test/test_jit_fuser_te.py::TestTEFuserStatic::test_rand_cuda, test/test_jit_fuser_te.py::TestTEFuserStatic::test_rand_diamond, test/test_jit_fuser_te.py::TestTEFuserStatic::test_relu, test/test_jit_fuser_te.py::TestTEFuserStatic::test_relu_fwd_bwd, test/test_jit_fuser_te.py::TestTEFuserStatic::test_remove_output_used_only_in_size, test/test_jit_fuser_te.py::TestTEFuserStatic::test_scalar, test/test_jit_fuser_te.py::TestTEFuserStatic::test_scalar_arg, test/test_jit_fuser_te.py::TestTEFuserStatic::test_scalar_only_inputs, test/test_jit_fuser_te.py::TestTEFuserStatic::test_skip_grad_in_check, test/test_jit_fuser_te.py::TestTEFuserStatic::test_small_constant, test/test_jit_fuser_te.py::TestTEFuserStatic::test_sub_gt_and, test/test_jit_fuser_te.py::TestTEFuserStatic::test_sum_dim, test/test_jit_fuser_te.py::TestTEFuserStatic::test_sum_keepdim_cast, test/test_jit_fuser_te.py::TestTEFuserStatic::test_sum_simple, test/test_jit_fuser_te.py::TestTEFuserStatic::test_superslomo, test/test_jit_fuser_te.py::TestTEFuserStatic::test_tensor_scalar_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_ternary_norm_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_ternary_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_threshold, test/test_jit_fuser_te.py::TestTEFuserStatic::test_to_device, test/test_jit_fuser_te.py::TestTEFuserStatic::test_to_dtype, test/test_jit_fuser_te.py::TestTEFuserStatic::test_torch_to, test/test_jit_fuser_te.py::TestTEFuserStatic::test_type_as_cat, test/test_jit_fuser_te.py::TestTEFuserStatic::test_typecheck, test/test_jit_fuser_te.py::TestTEFuserStatic::test_unary_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_unrolled_cat, test/test_jit_fuser_te.py::TestTEFuserStatic::test_unsqueeze_size_calculation, test/test_jit_fuser_te.py::TestTEFuserStatic::test_unsqueeze_var_dim, test/test_jit_fuser_te.py::TestTEFuserStatic::test_unsupported_dtypes, test/test_jit_fuser_te.py::TestTEFuserStatic::test_where_and_typing, test/test_jit_fuser_te.py::TestTEFuserStatic::test_where_ops, test/test_jit_fuser_te.py::TestTEFuserStatic::test_with_strict_fusion, test/test_jit_fuser_te.py::TestTEFuserStatic::test_zero_element_tensors, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_abs, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_adaptive_avg_pool2d, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_add_bool, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_addcmul, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_arg_configurations_smoke, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_autocast_down, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_autocast_up, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_batch_norm, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_binary_div_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_binary_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_binary_pow, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_binary_scalar_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_binary_tensor_scalar_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_bitwise_ops, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_broadcast, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_cat_2k_args, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_cat_graph_opt, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_channels_last_dims_dynamic, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_checks_cat_inputs, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_chunk, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_chunk_correctness, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_chunk_distributes, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_chunk_motion_deduplicates_inputs, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_chunk_mul_one, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_chunk_multiple, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_clamp, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_clamp_double, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_clamp_int, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_comparison_eq_ne, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_comparison_ge_le, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_comparison_gt_lt, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_concat, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_concat_invariant, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_constant_chunk_shapes, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_conv2d, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_conv2d_depthwise, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_cuda_half, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_dims, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_disabled, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_div_bool, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_dynamic_cat, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_dynamic_shapes, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_eq_unsqueeze_type_as, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_erf, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_exhaust_specializations, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_exp, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_fusion_reuse_multi_gpu, test/test_jit_fuser_te.py::TestTEFuserDynamic::test_gelu, 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test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_squeeze_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_squeeze_multiple_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_stack_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_std_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_std_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_std_mean_unbiased_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_std_unbiased_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_stft_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_sum_to_size_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_svd_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_svd_lowrank_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_t_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_take_along_dim_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_take_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_tensor_split_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_tensordot_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_tile_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_to_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_to_sparse_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_topk_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_trace_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_transpose_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_trapezoid_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_trapz_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_triangular_solve_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_tril_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_triu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unbind_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unbind_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unflatten_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unfold_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unfold_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_uniform_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unique_consecutive_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unique_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unsafe_chunk_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unsafe_split_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_unsqueeze_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_var_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_var_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_var_mean_unbiased_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_var_unbiased_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_vdot_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_view_as_complex_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_view_copy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_vsplit_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_vstack_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_xlogy_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_zero__cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_zeros_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_unsupported_zeros_like_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working___radd___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working___rdiv___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working___rmod___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working___rmul___cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_abs_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_acos_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_add_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_addcmul_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_addmm_decomposed_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_asin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_atan2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_atan_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_bool_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_byte_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_ceil_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_char_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_clamp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_contiguous_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_cos_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_cosh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_div_floor_rounding_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_div_no_rounding_mode_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_div_trunc_rounding_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_double_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_eq_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_erf_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_erfc_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_exp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_expand_as_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_expand_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_expm1_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_float_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_floor_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_fmod_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_ge_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_gt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_half_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_int_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_isnan_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_le_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_lerp_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_lgamma_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_log10_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_log1p_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_log2_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_log_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_long_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_lt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_masked_fill_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_max_binary_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_mean_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_min_binary_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_mm_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_mul_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_ne_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_neg_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_hardshrink_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_hardsigmoid_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_hardswish_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_hardtanh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_leaky_relu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_relu6_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_relu_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_softplus_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_softsign_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_tanhshrink_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_nn_functional_threshold_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_permute_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_pow_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_reciprocal_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_remainder_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_reshape_as_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_reshape_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_round_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_rsqrt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_rsub_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_short_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sigmoid_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sign_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sin_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sinh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sqrt_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sub_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_sum_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_t_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_tan_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_tanh_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_transpose_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_true_divide_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_trunc_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_unsqueeze_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_view_as_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_view_cpu_float32, test/test_jit_fuser_te.py::TestNNCOpInfoCPU::test_working_where_cpu_float32, test/test_jit_fuser_te.py::TestLoopnestRandomizationCPU::test_relu_cpu 2025-07-17T07:58:32.8072579Z 2025-07-17T07:58:33.3187145Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:58:33.3190202Z import pkg_resources 2025-07-17T07:58:33.5056499Z Running test_autograd 1/1 ... [2025-07-17 07:58:33.505091] 2025-07-17T07:58:33.5057300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:58:33.5063681Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:58:33.505544] 2025-07-17T07:58:35.5512462Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:58:35.5515518Z import pkg_resources 2025-07-17T07:58:35.6866721Z Running test_testing 1/1 ... [2025-07-17 07:58:35.685451] 2025-07-17T07:58:35.6867499Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:58:35.6869745Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_testing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:58:35.685802] 2025-07-17T07:59:25.8551956Z 2025-07-17T07:59:25.8570757Z test_testing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_testing_1.1_40469a448bf5d027_.log 2025-07-17T07:59:25.9861596Z Running 2068 items in this shard: test/test_testing.py::TestTestingCPU::test_assertEqual_longMessage_cpu, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_bool, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_complex128, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_complex64, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_float16, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_float32, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_float64, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int16, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int32, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int64, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int8, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_uint8, test/test_testing.py::TestTestingCPU::test_cuda_assert_should_not_stop_common_distributed_test_suite_cpu, test/test_testing.py::TestTestingCPU::test_cuda_assert_should_stop_common_device_type_test_suite_cpu, test/test_testing.py::TestTestingCPU::test_cuda_assert_should_stop_common_utils_test_suite_cpu, test/test_testing.py::TestTestingCPU::test_get_supported_dtypes_cpu, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_bool, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_float16, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_float32, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_float64, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int16, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int32, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int64, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int8, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_uint8, test/test_testing.py::TestTestingCPU::test_isclose_bool_cpu, test/test_testing.py::TestTestingCPU::test_isclose_complex_cpu_complex128, test/test_testing.py::TestTestingCPU::test_isclose_complex_cpu_complex64, test/test_testing.py::TestTestingCPU::test_isclose_equality_shortcut_cpu, test/test_testing.py::TestTestingCPU::test_isclose_float_cpu_float16, test/test_testing.py::TestTestingCPU::test_isclose_float_cpu_float32, test/test_testing.py::TestTestingCPU::test_isclose_float_cpu_float64, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int16, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int32, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int64, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int8, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_uint8, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_complex128, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_complex64, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_float16, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_float32, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_float64, test/test_testing.py::TestTestingCPU::test_setup_and_teardown_run_for_device_specific_tests_cpu, test/test_testing.py::TestTestingCPU::test_supported_dtypes_abs_cpu, test/test_testing.py::TestFrameworkUtils::test_filtering_env_var, test/test_testing.py::TestAssertClose::test_bool, test/test_testing.py::TestAssertClose::test_default_tolerance_selection_mismatching_dtypes, test/test_testing.py::TestAssertClose::test_docstring_examples, test/test_testing.py::TestAssertClose::test_matching, test/test_testing.py::TestAssertClose::test_matching_atol, test/test_testing.py::TestAssertClose::test_matching_conjugate_bit, test/test_testing.py::TestAssertClose::test_matching_nan, test/test_testing.py::TestAssertClose::test_matching_nan_with_equal_nan, test/test_testing.py::TestAssertClose::test_matching_rtol, test/test_testing.py::TestAssertClose::test_meta, test/test_testing.py::TestAssertClose::test_mismatching_dtype, test/test_testing.py::TestAssertClose::test_mismatching_dtype_no_check, test/test_testing.py::TestAssertClose::test_mismatching_layout, test/test_testing.py::TestAssertClose::test_mismatching_layout_no_check, test/test_testing.py::TestAssertClose::test_mismatching_shape, test/test_testing.py::TestAssertClose::test_mismatching_stride, test/test_testing.py::TestAssertClose::test_mismatching_stride_no_check, test/test_testing.py::TestAssertClose::test_mismatching_types, test/test_testing.py::TestAssertClose::test_mismatching_types_subclasses, test/test_testing.py::TestAssertClose::test_mismatching_types_type_equality, test/test_testing.py::TestAssertClose::test_mismatching_values, test/test_testing.py::TestAssertClose::test_mismatching_values_atol, test/test_testing.py::TestAssertClose::test_mismatching_values_rtol, test/test_testing.py::TestAssertClose::test_none, test/test_testing.py::TestAssertClose::test_none_mismatch, test/test_testing.py::TestAssertClose::test_numpy, test/test_testing.py::TestAssertClose::test_only_atol, test/test_testing.py::TestAssertClose::test_only_rtol, test/test_testing.py::TestAssertClose::test_scalar, test/test_testing.py::TestAssertClose::test_unexpected_error_compare, test/test_testing.py::TestAssertClose::test_unexpected_error_originate, test/test_testing.py::TestAssertClose::test_unknown_layout, test/test_testing.py::TestAssertClose::test_unknown_type, test/test_testing.py::TestAssertCloseErrorMessage::test_abs_diff, test/test_testing.py::TestAssertCloseErrorMessage::test_abs_diff_scalar, test/test_testing.py::TestAssertCloseErrorMessage::test_atol, test/test_testing.py::TestAssertCloseErrorMessage::test_identifier_scalars, test/test_testing.py::TestAssertCloseErrorMessage::test_identifier_tensor_likes, test/test_testing.py::TestAssertCloseErrorMessage::test_mismatched_elements, test/test_testing.py::TestAssertCloseErrorMessage::test_msg_callable, test/test_testing.py::TestAssertCloseErrorMessage::test_msg_str, test/test_testing.py::TestAssertCloseErrorMessage::test_not_close, test/test_testing.py::TestAssertCloseErrorMessage::test_not_equal, test/test_testing.py::TestAssertCloseErrorMessage::test_rel_diff, test/test_testing.py::TestAssertCloseErrorMessage::test_rel_diff_scalar, test/test_testing.py::TestAssertCloseErrorMessage::test_rtol, test/test_testing.py::TestAssertCloseErrorMessage::test_small_float_dtype, test/test_testing.py::TestAssertCloseErrorMessage::test_zero_div_zero, test/test_testing.py::TestAssertCloseContainer::test_mapping_mismatching_keys, test/test_testing.py::TestAssertCloseContainer::test_mapping_mismatching_values_msg, test/test_testing.py::TestAssertCloseContainer::test_sequence_mismatching_len, test/test_testing.py::TestAssertCloseContainer::test_sequence_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseCOO::test_matching_coalesced, test/test_testing.py::TestAssertCloseSparseCOO::test_matching_uncoalesced, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_indices_msg, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_nnz, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_sparse_dims, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseCSR::test_matching, test/test_testing.py::TestAssertCloseSparseCSR::test_mismatching_col_indices_msg, test/test_testing.py::TestAssertCloseSparseCSR::test_mismatching_crow_indices_msg, test/test_testing.py::TestAssertCloseSparseCSR::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseCSC::test_matching, test/test_testing.py::TestAssertCloseSparseCSC::test_mismatching_ccol_indices_msg, test/test_testing.py::TestAssertCloseSparseCSC::test_mismatching_row_indices_msg, test/test_testing.py::TestAssertCloseSparseCSC::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseBSR::test_matching, test/test_testing.py::TestAssertCloseSparseBSR::test_mismatching_col_indices_msg, test/test_testing.py::TestAssertCloseSparseBSR::test_mismatching_crow_indices_msg, 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test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_False_cpu_int64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_False_cpu_int8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_False_cpu_uint8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_True_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_True_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_True_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_True_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_True_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_True_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_True_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_True_cpu_float64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_True_cpu_int16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_True_cpu_int32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_True_cpu_int64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_True_cpu_int8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape2_splat_shape_True_cpu_uint8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_False_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_False_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_False_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_False_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_False_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_False_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_False_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_False_cpu_float64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_False_cpu_int16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_False_cpu_int32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_False_cpu_int64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_False_cpu_int8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_False_cpu_uint8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_True_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_True_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_True_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_True_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_True_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_True_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_True_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_True_cpu_float64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_True_cpu_int16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_True_cpu_int32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_True_cpu_int64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_True_cpu_int8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape3_splat_shape_True_cpu_uint8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_False_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_False_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_False_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_False_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_False_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_False_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_False_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_False_cpu_float64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_False_cpu_int16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_False_cpu_int32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_False_cpu_int64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_False_cpu_int8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_False_cpu_uint8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_True_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_True_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_True_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_True_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_True_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_True_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_True_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_True_cpu_float64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_True_cpu_int16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_True_cpu_int32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_True_cpu_int64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_True_cpu_int8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape4_splat_shape_True_cpu_uint8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_False_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_False_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_False_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_False_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_False_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_False_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_False_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_False_cpu_float64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_False_cpu_int16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_False_cpu_int32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_False_cpu_int64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_False_cpu_int8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_False_cpu_uint8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_True_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_True_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_True_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_True_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_True_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_True_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_True_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_True_cpu_float64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_True_cpu_int16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_True_cpu_int32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_True_cpu_int64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_True_cpu_int8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape5_splat_shape_True_cpu_uint8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_False_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_False_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_False_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_False_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_False_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_False_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_False_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_False_cpu_float64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_False_cpu_int16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_False_cpu_int32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_False_cpu_int64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_False_cpu_int8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_False_cpu_uint8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_True_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_True_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_True_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_True_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_True_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_True_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_True_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_True_cpu_float64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_True_cpu_int16, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_True_cpu_int32, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_True_cpu_int64, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_True_cpu_int8, test/test_testing.py::TestMakeTensorCPU::test_smoke_shape6_splat_shape_True_cpu_uint8, test/test_testing.py::TestTestParametrization::test_apply_param_specific_decorators, test/test_testing.py::TestTestParametrization::test_compose_param_specific_decorators, test/test_testing.py::TestTestParametrization::test_default_names, test/test_testing.py::TestTestParametrization::test_modules_decorator_misuse_error, test/test_testing.py::TestTestParametrization::test_multiple_handling_of_same_param_error, test/test_testing.py::TestTestParametrization::test_name_fn, test/test_testing.py::TestTestParametrization::test_ops_decorator_misuse_error, test/test_testing.py::TestTestParametrization::test_reparametrize, test/test_testing.py::TestTestParametrization::test_subtest_expected_failure_x_1, test/test_testing.py::TestTestParametrization::test_subtest_expected_failure_x_2, test/test_testing.py::TestTestParametrization::test_subtest_expected_failure_x_3, test/test_testing.py::TestTestParametrization::test_subtest_names, test/test_testing.py::TestTestParametrization::test_two_things_subtest_expected_failure_x_1_y_4, test/test_testing.py::TestTestParametrization::test_two_things_subtest_expected_failure_x_1_y_5, test/test_testing.py::TestTestParametrization::test_two_things_subtest_expected_failure_x_1_y_6, test/test_testing.py::TestTestParametrization::test_two_things_subtest_expected_failure_x_2_y_4, test/test_testing.py::TestTestParametrization::test_two_things_subtest_expected_failure_x_2_y_5, test/test_testing.py::TestTestParametrization::test_two_things_subtest_expected_failure_x_2_y_6, test/test_testing.py::TestTestParametrization::test_two_things_subtest_expected_failure_x_3_y_4, test/test_testing.py::TestTestParametrization::test_two_things_subtest_expected_failure_x_3_y_5, test/test_testing.py::TestTestParametrization::test_two_things_subtest_expected_failure_x_3_y_6, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_default_name_non_primitive_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_default_names_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_dtypes_composition_invalid_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_dtypes_composition_valid_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_empty_param_list_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_empty_param_names_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_modules_composition_names_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_modules_decorator_applies_module_and_param_specific_decorators_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_multiple_handling_of_same_param_error_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_name_fn_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_ops_composition_names_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_ops_decorator_applies_op_and_param_specific_decorators_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_param_specific_decoration_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_subtest_expected_failure_x_1_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_subtest_expected_failure_x_2_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_subtest_expected_failure_x_3_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_subtest_names_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_two_things_subtest_expected_failure_x_1_y_4_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_two_things_subtest_expected_failure_x_1_y_5_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_two_things_subtest_expected_failure_x_1_y_6_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_two_things_subtest_expected_failure_x_2_y_4_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_two_things_subtest_expected_failure_x_2_y_5_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_two_things_subtest_expected_failure_x_2_y_6_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_two_things_subtest_expected_failure_x_3_y_4_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_two_things_subtest_expected_failure_x_3_y_5_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_two_things_subtest_expected_failure_x_3_y_6_cpu, test/test_testing.py::TestTestParametrizationDeviceTypeCPU::test_unparametrized_names_cpu, test/test_testing.py::TestImports::test_circular_dependencies, test/test_testing.py::TestImports::test_lazy_imports_are_lazy, test/test_testing.py::TestImports::test_no_mutate_global_logging_on_import_path_functorch, test/test_testing.py::TestImports::test_no_mutate_global_logging_on_import_path_torch, test/test_testing.py::TestImports::test_no_warning_on_import, test/test_testing.py::TestImports::test_not_import_sympy, test/test_testing.py::TestOpInfos::test_sample_input, test/test_testing.py::TestOpInfos::test_sample_input_metadata, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_T_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators___radd___cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators___rand___cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators___rdiv___cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators___rmod___cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators___rmul___cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators___ror___cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators___rpow___cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators___rsub___cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators___rxor___cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators__chunk_cat_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_add_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_amax_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_amin_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_aminmax_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_arange_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_as_strided_scatter_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_atan2_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_bernoulli_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_bitwise_and_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_bitwise_left_shift_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_bitwise_or_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_bitwise_right_shift_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_bitwise_xor_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_bucketize_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_cat_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_cauchy_cpu, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_error_generators_clamp_max_cpu, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators__softmax_backward_data_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators__unsafe_masked_index_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators__unsafe_masked_index_put_accumulate_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators__upsample_bilinear2d_aa_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_abs_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_acos_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_acosh_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_add_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_addbmm_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_addcdiv_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_addcmul_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_addmm_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_addmm_decomposed_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_addmv_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_addr_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_alias_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_all_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_allclose_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_amax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_amin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_aminmax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_angle_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_any_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_arange_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_argmax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_argmin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_argsort_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bitwise_left_shift_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bitwise_not_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bitwise_or_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bitwise_right_shift_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bitwise_xor_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_block_diag_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bmm_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bool_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_broadcast_shapes_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_broadcast_tensors_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_broadcast_to_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_bucketize_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_byte_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cartesian_prod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cat_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cauchy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cdist_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cdouble_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_ceil_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cfloat_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_chalf_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_char_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cholesky_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cholesky_inverse_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cholesky_solve_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_chunk_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_clamp_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_contiguous_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_copysign_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_corrcoef_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cos_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cosh_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_count_nonzero_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cov_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cross_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cummax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cummin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cumprod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cumsum_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_cumulative_trapezoid_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_deg2rad_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diag_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diag_embed_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diagflat_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diagonal_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diagonal_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diagonal_scatter_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_diff_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_digamma_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_dist_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_div_floor_rounding_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_div_no_rounding_mode_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_div_trunc_rounding_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_dot_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_expm1_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_exponential_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_eye_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_fft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_fft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_fftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_fftshift_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_hfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_hfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_hfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifftshift_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ihfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ihfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ihfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_irfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_irfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_irfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_rfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_rfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_rfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fill_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_flatten_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_flip_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fliplr_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_flipud_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_float_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_float_power_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_floor_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_floor_divide_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fmax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fmin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fmod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_frac_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_frexp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_full_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_full_like_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_gather_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_gcd_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_ge_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_geometric_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_geqrf_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_gradient_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_grid_sampler_2d_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_gt_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_half_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_heaviside_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_histc_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_histogram_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_histogramdd_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_hsplit_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_hstack_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_hypot_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_i0_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_igamma_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_igammac_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_imag_cpu_complex64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_add_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_fill_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_put_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_lerp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_lgamma_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_cholesky_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_cholesky_ex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_cond_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_cross_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_det_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_diagonal_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_eig_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_conv3d_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_conv_transpose1d_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_conv_transpose2d_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_conv_transpose3d_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_cosine_embedding_loss_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_cosine_similarity_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_cross_entropy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_ctc_loss_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_dropout2d_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_dropout3d_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_dropout_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_elu_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_embedding_bag_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_embedding_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_nn_functional_feature_alpha_dropout_without_train_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_scaled_modified_bessel_k0_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_scaled_modified_bessel_k1_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_spherical_bessel_j0_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_xlog1py_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_zeta_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_split_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_split_list_args_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_split_with_sizes_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_split_with_sizes_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sqrt_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_square_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_squeeze_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_squeeze_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_squeeze_multiple_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_stack_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_std_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_std_mean_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_std_mean_unbiased_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_std_unbiased_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_stft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sub_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sum_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sum_to_size_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_svd_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_svd_lowrank_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_t_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_t_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_take_along_dim_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_take_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_tan_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_tanh_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_tensor_split_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_tensordot_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_tile_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_to_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_to_sparse_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_topk_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_torch__scaled_mm_cpu_float8_e4m3fn, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_trace_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_transpose_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_transpose_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_trapezoid_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_trapz_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_triangular_solve_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_tril_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_tril_indices_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_triu_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_triu_indices_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_true_divide_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_trunc_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unbind_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unbind_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unflatten_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unfold_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unfold_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_uniform_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unique_consecutive_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unique_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unravel_index_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsafe_chunk_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsafe_split_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsqueeze_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsqueeze_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_var_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_var_mean_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_var_mean_unbiased_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_var_unbiased_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_vdot_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_view_as_complex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_view_as_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_view_as_real_cpu_complex64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_view_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_view_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_vsplit_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_vstack_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_where_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_xlogy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_zero__cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_zeros_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_zeros_like_cpu_float32 2025-07-17T07:59:26.0736384Z 2025-07-17T07:59:29.0325249Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T07:59:29.0326817Z import pkg_resources 2025-07-17T07:59:29.1606829Z Running test_quantization 1/5 ... [2025-07-17 07:59:29.160265] 2025-07-17T07:59:29.1607589Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T07:59:29.1610066Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 07:59:29.160673] 2025-07-17T08:00:25.5194820Z 2025-07-17T08:00:25.5196648Z test_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_1.1_c2e4de06c95d9a04_.log 2025-07-17T08:00:25.5741963Z Running 647 items in this shard: test/test_autograd.py::TestAutograd::test_access_saved_tensor_twice_without_recomputation_works, test/test_autograd.py::TestAutograd::test_accumulate_grad, test/test_autograd.py::TestAutograd::test_accumulate_grad_posthooks_can_observe_tensor_prehook, test/test_autograd.py::TestAutograd::test_accumulate_grad_posthooks_should_not_execute, test/test_autograd.py::TestAutograd::test_accumulate_grad_tensor_reference, test/test_autograd.py::TestAutograd::test_accumulate_grad_with_zero_numel_grad, test/test_autograd.py::TestAutograd::test_anomaly_assign_parent_cleanup, test/test_autograd.py::TestAutograd::test_anomaly_detect_nan, test/test_autograd.py::TestAutograd::test_anomaly_grad_warnings, test/test_autograd.py::TestAutograd::test_anomaly_mode_no_check_nan, test/test_autograd.py::TestAutograd::test_attribute_deletion, test/test_autograd.py::TestAutograd::test_autograd_inplace_view_of_view, test/test_autograd.py::TestAutograd::test_autograd_inplace_views_creation_meta, test/test_autograd.py::TestAutograd::test_autograd_inplace_views_cross_dtype, test/test_autograd.py::TestAutograd::test_autograd_multiple_views_python, test/test_autograd.py::TestAutograd::test_autograd_node_isinstance, test/test_autograd.py::TestAutograd::test_autograd_print_tensor, test/test_autograd.py::TestAutograd::test_autograd_python_custom_function_inplace, test/test_autograd.py::TestAutograd::test_autograd_simple_views_python, test/test_autograd.py::TestAutograd::test_autograd_views_codegen, test/test_autograd.py::TestAutograd::test_backward, test/test_autograd.py::TestAutograd::test_backward_badcalls, test/test_autograd.py::TestAutograd::test_backward_copy, test/test_autograd.py::TestAutograd::test_backward_create_graph_warns, test/test_autograd.py::TestAutograd::test_backward_hook_relative_ordering, test/test_autograd.py::TestAutograd::test_backward_no_grad, test/test_autograd.py::TestAutograd::test_backward_to_node, test/test_autograd.py::TestAutograd::test_backward_twice_retained_graph_with_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_retained_graph_without_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_with_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_without_saved_values, test/test_autograd.py::TestAutograd::test_backward_with_inputs, test/test_autograd.py::TestAutograd::test_backward_with_nonleaf_inputs, test/test_autograd.py::TestAutograd::test_backward_with_scalar_input, test/test_autograd.py::TestAutograd::test_calculate_shape_util, test/test_autograd.py::TestAutograd::test_callback_adds_callback, test/test_autograd.py::TestAutograd::test_callback_propagates_errors_from_device_thread, test/test_autograd.py::TestAutograd::test_cant_create_saved_tensors, test/test_autograd.py::TestAutograd::test_checkpoint_detects_non_determinism, test/test_autograd.py::TestAutograd::test_checkpoint_sequential_warns_if_use_reentrant_not_passed_explcitly, test/test_autograd.py::TestAutograd::test_checkpoint_valid_reset_on_error, test/test_autograd.py::TestAutograd::test_checkpoint_warns_if_use_reentrant_not_passed_explcitly, test/test_autograd.py::TestAutograd::test_checkpointing, test/test_autograd.py::TestAutograd::test_checkpointing_non_reentrant_autocast_cpu, test/test_autograd.py::TestAutograd::test_checkpointing_non_reentrant_autocast_gpu, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_arbitrary_input_output, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_correct_grad, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_custom_function_works, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_dataparallel, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_detached_tensor_use_reentrant_False, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_detached_tensor_use_reentrant_True, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_input_requires_grad_False, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_input_requires_grad_True, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_memory_savings, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_parameter_used_in_an_out, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_saved_object_identity, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_with_context_fn, test/test_autograd.py::TestAutograd::test_copy_slices_graph_task_updates, test/test_autograd.py::TestAutograd::test_create_graph_and_full_backward_hook_cycle, test/test_autograd.py::TestAutograd::test_current_graph_task_execution_order, test/test_autograd.py::TestAutograd::test_current_graph_task_id, test/test_autograd.py::TestAutograd::test_current_node, test/test_autograd.py::TestAutograd::test_custom_autograd_no_early_free, test/test_autograd.py::TestAutograd::test_custom_autograd_repeated_grad_grad, test/test_autograd.py::TestAutograd::test_custom_function_cycle, test/test_autograd.py::TestAutograd::test_custom_function_error, test/test_autograd.py::TestAutograd::test_custom_function_exception, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_forward_is_no_op, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_inplace_checks, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_non_differentiable, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_non_tensor_before_tensor_args, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_view_checks, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_wrong_formula, test/test_autograd.py::TestAutograd::test_custom_function_inplace_on_non_default_view, test/test_autograd.py::TestAutograd::test_custom_function_inplace_on_view_of_leaf, test/test_autograd.py::TestAutograd::test_custom_function_local_inplace, test/test_autograd.py::TestAutograd::test_custom_function_mark_dirty_not_differentiable, test/test_autograd.py::TestAutograd::test_custom_function_mark_output_view_of_intermediate, test/test_autograd.py::TestAutograd::test_custom_function_no_tensors, test/test_autograd.py::TestAutograd::test_custom_function_non_tensor_inputs_outputs, test/test_autograd.py::TestAutograd::test_custom_function_preserve_torch_function_when_return_as_is, test/test_autograd.py::TestAutograd::test_custom_function_return_view_in_nograd, test/test_autograd.py::TestAutograd::test_custom_function_save_for_forward, test/test_autograd.py::TestAutograd::test_custom_function_saved_tensors, test/test_autograd.py::TestAutograd::test_custom_function_setup_context_multi_input, test/test_autograd.py::TestAutograd::test_custom_function_setup_context_multi_output, test/test_autograd.py::TestAutograd::test_custom_function_setup_context_simple, test/test_autograd.py::TestAutograd::test_custom_function_vmap_defaults, test/test_autograd.py::TestAutograd::test_deep_reentrant, test/test_autograd.py::TestAutograd::test_default_saved_tensors_hooks_double_backward, test/test_autograd.py::TestAutograd::test_dep_nograd, test/test_autograd.py::TestAutograd::test_dependent_backward, test/test_autograd.py::TestAutograd::test_detach, test/test_autograd.py::TestAutograd::test_detach_base, test/test_autograd.py::TestAutograd::test_detach_then_inplace_raises_in_autograd, test/test_autograd.py::TestAutograd::test_diagonal_expanded_v, test/test_autograd.py::TestAutograd::test_dir, test/test_autograd.py::TestAutograd::test_disabling_saved_tensor_hooks, test/test_autograd.py::TestAutograd::test_disabling_saved_tensor_hooks_nested, test/test_autograd.py::TestAutograd::test_dont_materialize_grads, test/test_autograd.py::TestAutograd::test_duplicate_backward_root, test/test_autograd.py::TestAutograd::test_enable_grad_decorator_no_paren, test/test_autograd.py::TestAutograd::test_first_grad_fn_access_in_no_grad_mode, test/test_autograd.py::TestAutograd::test_free_deep_graph, test/test_autograd.py::TestAutograd::test_free_deep_graph_complicated, test/test_autograd.py::TestAutograd::test_free_deep_graph_pyfunction, test/test_autograd.py::TestAutograd::test_full_backward_hook_double_backward, test/test_autograd.py::TestAutograd::test_function, test/test_autograd.py::TestAutograd::test_function_returns_input, test/test_autograd.py::TestAutograd::test_function_returns_undefined_tensor, test/test_autograd.py::TestAutograd::test_gc_in_destructor, test/test_autograd.py::TestAutograd::test_grad, test/test_autograd.py::TestAutograd::test_grad_badcalls, test/test_autograd.py::TestAutograd::test_grad_batched_grad, test/test_autograd.py::TestAutograd::test_grad_empty_inputs, test/test_autograd.py::TestAutograd::test_grad_fn_attr_bindings, test/test_autograd.py::TestAutograd::test_grad_fn_badcalls, test/test_autograd.py::TestAutograd::test_grad_fn_input_metadata, test/test_autograd.py::TestAutograd::test_grad_fn_prehooks, test/test_autograd.py::TestAutograd::test_grad_fn_prehooks_multiple_outputs, test/test_autograd.py::TestAutograd::test_grad_fn_prehooks_remove_hooks, test/test_autograd.py::TestAutograd::test_grad_materialize_grads, test/test_autograd.py::TestAutograd::test_grad_mode_class_decoration, test/test_autograd.py::TestAutograd::test_grad_mode_restored_reentrant, test/test_autograd.py::TestAutograd::test_grad_nonleaf, test/test_autograd.py::TestAutograd::test_grad_nonleaf_many_outputs, test/test_autograd.py::TestAutograd::test_grad_nonleaf_register_hook, test/test_autograd.py::TestAutograd::test_grad_to_node, test/test_autograd.py::TestAutograd::test_grad_to_node_inplace, test/test_autograd.py::TestAutograd::test_grad_to_node_materialize, test/test_autograd.py::TestAutograd::test_grad_to_node_multi, test/test_autograd.py::TestAutograd::test_grad_to_node_set, test/test_autograd.py::TestAutograd::test_grad_unreachable, test/test_autograd.py::TestAutograd::test_grad_unreachable_discovery, test/test_autograd.py::TestAutograd::test_gradcheck_backward_mul_by_grad_output, test/test_autograd.py::TestAutograd::test_gradcheck_check_batched_grad, test/test_autograd.py::TestAutograd::test_gradcheck_check_forward_or_backward_only, 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test/test_autograd.py::TestAutograd::test_gradcheck_input_layout2, test/test_autograd.py::TestAutograd::test_gradcheck_input_layout3, test/test_autograd.py::TestAutograd::test_gradcheck_input_layout4, test/test_autograd.py::TestAutograd::test_gradcheck_jacobian_mismatch, test/test_autograd.py::TestAutograd::test_gradcheck_multiple_mkldnn_inputs, test/test_autograd.py::TestAutograd::test_gradcheck_nondeterministic, test/test_autograd.py::TestAutograd::test_gradcheck_output_shape_or_dtype_depend_on_values, test/test_autograd.py::TestAutograd::test_gradcheck_single_input, test/test_autograd.py::TestAutograd::test_gradcheck_test_outputs, test/test_autograd.py::TestAutograd::test_gradcheck_undefined_grad, test/test_autograd.py::TestAutograd::test_gradcheck_validates_input_mkldnn, test/test_autograd.py::TestAutograd::test_gradcheck_validates_inputs, test/test_autograd.py::TestAutograd::test_gradient_edge_output, test/test_autograd.py::TestAutograd::test_graph_save_on_cpu, 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test/test_autograd.py::TestAutograd::test_unused_output, test/test_autograd.py::TestAutograd::test_var_mean_differentiable, test/test_autograd.py::TestAutograd::test_variable_traverse, test/test_autograd.py::TestAutograd::test_version_counter, test/test_autograd.py::TestAutograd::test_view_func_replay, test/test_autograd.py::TestAutograd::test_view_func_replay_with_modified_state, test/test_autograd.py::TestAutograd::test_view_replay_enabled, test/test_autograd.py::TestAutograd::test_volatile_deprecated, test/test_autograd.py::TestAutograd::test_will_engine_execute_node, test/test_autograd.py::TestAutograd::test_wrapped_number_saved_tensors_hooks, test/test_autograd.py::TestAutogradForwardModeBatchedGrad::test_inplace_on_view_not_same_layout, test/test_autograd.py::TestAutogradForwardModeBatchedGrad::test_inplace_on_view_same_layout, test/test_autograd.py::TestAutogradForwardModeBatchedGrad::test_metadata_check_for_storage_numel_skipped, test/test_autograd.py::TestAutogradForwardModeBatchedGrad::test_out_of_place_basic, test/test_autograd.py::TestAutogradForwardModeBatchedGrad::test_out_of_place_not_same_layout, test/test_autograd.py::TestAutogradForwardMode::test_advanced_packing_unpacking, test/test_autograd.py::TestAutogradForwardMode::test_backward_graph_destruction, test/test_autograd.py::TestAutogradForwardMode::test_basic_packing_unpacking, test/test_autograd.py::TestAutogradForwardMode::test_codegen_ignores_undefined_outputs, test/test_autograd.py::TestAutogradForwardMode::test_create_new_zeros_with_same_meta, test/test_autograd.py::TestAutogradForwardMode::test_default_level, test/test_autograd.py::TestAutogradForwardMode::test_detach_view_tracking, test/test_autograd.py::TestAutogradForwardMode::test_forward_level_cleanup, test/test_autograd.py::TestAutogradForwardMode::test_fwd_grad_enabled, test/test_autograd.py::TestAutogradForwardMode::test_grad_cleanup, 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test/test_autograd.py::TestAutogradForwardMode::test_out_variant, test/test_autograd.py::TestAutogradForwardMode::test_print, test/test_autograd.py::TestAutogradForwardMode::test_set_fw_grad_having_own_fw_grad_at_same_level, test/test_autograd.py::TestAutogradForwardMode::test_set_fwd_grad_enabled, test/test_autograd.py::TestAutogradForwardMode::test_size_check, test/test_autograd.py::TestAutogradForwardMode::test_view_inplace_always_creates_a_view, test/test_autograd.py::TestAutogradForwardMode::test_view_inplace_differentiable_views, test/test_autograd.py::TestAutogradForwardMode::test_view_inplace_non_differentiable_views, test/test_autograd.py::TestAllowMutationOnSaved::test_backward_out_of_context, test/test_autograd.py::TestAllowMutationOnSaved::test_basic, test/test_autograd.py::TestAllowMutationOnSaved::test_disallow_nesting, test/test_autograd.py::TestAllowMutationOnSaved::test_double_backward, test/test_autograd.py::TestAllowMutationOnSaved::test_inplace_foreach, test/test_autograd.py::TestAllowMutationOnSaved::test_save_base_and_modify_view, test/test_autograd.py::TestAllowMutationOnSaved::test_save_view_modify_base, test/test_autograd.py::TestAllowMutationOnSaved::test_saved_but_not_anymore, test/test_autograd.py::TestAllowMutationOnSaved::test_saved_same_tensor_different_versions, test/test_autograd.py::TestAllowMutationOnSaved::test_saved_same_tensor_many_times, test/test_autograd.py::TestAllowMutationOnSaved::test_views, test/test_autograd.py::TestAllowMutationOnSaved::test_with_math_views, test/test_autograd.py::TestAllowMutationOnSaved::test_with_out_variant, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_context_manager, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_decorator, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_existing_autograd_session, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_handle_direct_view_on_rebase, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_handle_indirect_view_on_rebase, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_inf_mode_functional_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_inf_mode_inplace_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_inf_mode_view_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_normal_mode_functional_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_normal_mode_inplace_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_inf_tensor_in_normal_mode_view_op, test/test_autograd.py::TestAutogradInferenceMode::test_inference_mode_tensor_creation, test/test_autograd.py::TestAutogradInferenceMode::test_mix_inference_and_normal_tensor_functional_op, 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test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_ctor_getter_backward_cpu_complex128, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_ctor_getter_backward_cpu_float64, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_sparse_mask_autograd_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_strided_leaf_grad_layout_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_to_r_to_c_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_unused_output_device_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_warning_in_backward_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_where_functional_cpu, test/test_autograd.py::TestAutogradDeviceTypeCPU::test_where_scalar_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_autograd_composite_implicit_and_dispatch_registration_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_autograd_multiple_dispatch_registrations_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_backward_single_threaded_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_backward_tls_stash_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_foward_mode_AD_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_is_retain_graph_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_per_dispatch_key_input_saving_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_set_sequence_nr_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_view_copy_cpu 2025-07-17T08:00:25.6213511Z 2025-07-17T08:00:30.4290375Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:00:30.4293863Z import pkg_resources 2025-07-17T08:00:30.7836874Z Running test_quantization 2/5 ... [2025-07-17 08:00:30.783265] 2025-07-17T08:00:30.7838096Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:00:30.7840844Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'not serial', '--shard-id=2', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:00:30.783749] 2025-07-17T08:01:13.8286852Z 2025-07-17T08:01:13.8288404Z functorch/test_ops 8/8 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_8.8_b168be7062b22e7d_.log 2025-07-17T08:01:13.9224354Z Running 1238 items in this shard: test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_broadcast_to_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_broadcast_to_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_contiguous_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_mH_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_movedim_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_narrow_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_positive_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_positive_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_real_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_resolve_conj_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_transpose_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_as_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpySortAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SelectGenVmapAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_T_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rdiv___cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_any_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cdist_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_corrcoef_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_deg2rad_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diag_embed_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diff_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_equal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_flatten_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_floor_divide_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_igammac_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_select_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_binary_return_by_ref_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_inv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_power_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_singular_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_slogdet_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_svdvals_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logaddexp2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logcumsumexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logsumexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lu_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lu_unpack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_normalize_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_max_reduction_with_dim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_reduction_with_dim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_empty_strided_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_avg_pool1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_gaussian_nll_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_l1_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multilabel_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_normalize_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pixel_shuffle_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_poisson_nll_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_inf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_permute_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_put_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_repeat_interleave_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rsqrt_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_short_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sign_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_bartlett_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_softmax_with_dtype_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sort_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_i1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_ndtri_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_scaled_modified_bessel_k1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_square_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_t_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_topk_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trapz_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_uniform_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unique_consecutive_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsqueeze_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pad_constant_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_frexp_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32 2025-07-17T08:01:14.0147878Z 2025-07-17T08:01:17.7983263Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:01:17.7986756Z import pkg_resources 2025-07-17T08:01:17.9830519Z Running test_quantization 3/5 ... [2025-07-17 08:01:17.982548] 2025-07-17T08:01:17.9831322Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:01:17.9837632Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_quantization.py', '-m', 'not serial', '--shard-id=3', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:01:17.983341] 2025-07-17T08:08:11.7145437Z 2025-07-17T08:08:11.7147109Z test_quantization 1/5 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_1.5_229323a1abbb8945_.log 2025-07-17T08:08:11.7324460Z Running 267 items in this shard: test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool3d_ndhwc, test/test_quantization.py::TestQuantizedOps::test_add_scalar_relu, test/test_quantization.py::TestQuantizedOps::test_advanced_indexing, test/test_quantization.py::TestQuantizedOps::test_avg_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_cat_nhwc, test/test_quantization.py::TestQuantizedOps::test_leaky_relu_observed_output, test/test_quantization.py::TestQuantizedOps::test_linear_bias_unpack, test/test_quantization.py::TestQuantizedOps::test_max_pool2d, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_cudnn_nhwc, test/test_quantization.py::TestQuantizedOps::test_qmul_broadcast, test/test_quantization.py::TestQuantizedOps::test_qsoftmax, test/test_quantization.py::TestQuantizedOps::test_qthreshold, test/test_quantization.py::TestQNNPackOps::test_qnnpack_add, test/test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid_sweep, test/test_quantization.py::TestQNNPackOps::test_qnnpack_tanh, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_leaky_relu, test/test_quantization.py::TestQuantizedLinear::test_qlinear_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv1d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardtanh_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_swish_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv3d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose1d, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear_dynamic_fp16, test/test_quantization.py::TestDynamicQuantizedOps::test_unpacked_qlinear_dynamic_fp16_opcheck, test/test_quantization.py::TestComparatorOps::test_compare_tensor_scalar, test/test_quantization.py::TestPadding::test_reflection_pad1d, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2d_indices, test/test_quantization.py::TestQuantizedFunctionalOps::test_conv2d_api, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor_cachemask_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quantize_per_tensor_affine_inf, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_half_precision_numerics, test/test_quantization.py::TestQuantizedTensor::test_clone, test/test_quantization.py::TestQuantizedTensor::test_decomposed_dequantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_tensor, test/test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cpu, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_creation_cpu, test/test_quantization.py::TestQuantizedTensor::test_per_channel_to_device, test/test_quantization.py::TestQuantizedTensor::test_qscheme_pickle, test/test_quantization.py::TestQuantizedTensor::test_qtensor_copy, test/test_quantization.py::TestQuantizedTensor::test_repeat, test/test_quantization.py::TestObserver::test_dynamic_quant_observer, test/test_quantization.py::TestObserver::test_observer_qparams_respects_device_affinity, test/test_quantization.py::TestObserver::test_per_channel_observers, test/test_quantization.py::TestObserver::test_per_channel_observers_load_state_dict, test/test_quantization.py::TestObserver::test_state_dict_respects_device_affinity, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_add, test/test_quantization.py::TestStaticQuantizedModule::test_elu, test/test_quantization.py::TestStaticQuantizedModule::test_embedding_api, test/test_quantization.py::TestStaticQuantizedModule::test_leaky_relu, test/test_quantization.py::TestStaticQuantizedModule::test_linear_leaky_relu, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv2d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose2d, test/test_quantization.py::TestRecordHistogramObserver::test_record_observer, test/test_quantization.py::TestDistributed::test_qat_convbn_fused_syncbn_replacement, test/test_quantization.py::TestDistributed::test_syncbn_preserves_qconfig, test/test_quantization.py::TestFusedObsFakeQuantModule::test_default_fused_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_per_channel, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_module, test/test_quantization.py::TestBackendConfig::test_backend_config_set_backend_pattern_config, test/test_quantization.py::TestBackendConfig::test_backend_op_config_add_dtype_config, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_observation_type, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_root_module, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_convtranspose_per_channel_qconfig_none, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_manual, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested1, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_normalization, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding_bag, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantwrapper_attaches_qconfig_to_dequant, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_single_layer, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_bag_dynamic, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_ops_dynamic, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested2, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_single_layer, test/test_quantization.py::TestQuantizeEagerOps::test_conv_1d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_2d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_2d, test/test_quantization.py::TestQuantizeEagerOps::test_functional_module, test/test_quantization.py::TestQuantizeEagerOps::test_int16_reference_module, test/test_quantization.py::TestQuantizeEagerOps::test_linear, test/test_quantization.py::TestQuantizeEagerOps::test_relu, test/test_quantization.py::TestQuantizeEagerQAT::test_embedding_bag_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_manual, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_precomputed_fake_quant, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_relu, test/test_quantization.py::TestFuseEager::test_fusion_conv_with_bias, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_lstm_dynamic, test/test_quantization.py::TestFuseFx::test_fuse_linear_bn_eval, test/test_quantization.py::TestFuseFx::test_linear_tanh_not_fused_by_default, test/test_quantization.py::TestFuseFx::test_qconfig_fused_module, test/test_quantization.py::TestQuantizeFx::test_backend_config_scale_min, test/test_quantization.py::TestQuantizeFx::test_conv_bn_relu, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_set_observed_to_quantized_mapping, test/test_quantization.py::TestQuantizeFx::test_convert_qconfig_mapping, test/test_quantization.py::TestQuantizeFx::test_dynamic_linear_input_multiple_use, test/test_quantization.py::TestQuantizeFx::test_dynamic_quant_weight_observer, test/test_quantization.py::TestQuantizeFx::test_dynamic_with_fusion, test/test_quantization.py::TestQuantizeFx::test_fold_quant_dequant, test/test_quantization.py::TestQuantizeFx::test_fp32_input_fp32_output, test/test_quantization.py::TestQuantizeFx::test_masked_fill_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_not_used, test/test_quantization.py::TestQuantizeFx::test_observer_fqn, test/test_quantization.py::TestQuantizeFx::test_permute_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_preserved_attributes, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_split_tuple_args, test/test_quantization.py::TestQuantizeFx::test_qat_and_script, test/test_quantization.py::TestQuantizeFx::test_qconfig_dict_with_fused_modules, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_from_dict, test/test_quantization.py::TestQuantizeFx::test_qconfig_qat_module_type, test/test_quantization.py::TestQuantizeFx::test_quantized_input_fp32_output, test/test_quantization.py::TestQuantizeFx::test_remove_qconfig, test/test_quantization.py::TestQuantizeFx::test_reroute_tuple_getitem_patterns, test/test_quantization.py::TestQuantizeFx::test_save_observer_state_dict, test/test_quantization.py::TestQuantizeFx::test_trace_quantize_per_tensor, test/test_quantization.py::TestQuantizeFxOps::test_ave_pool_with_custom_cfg, test/test_quantization.py::TestQuantizeFxOps::test_bmm_int_reference, test/test_quantization.py::TestQuantizeFxOps::test_conv_module, test/test_quantization.py::TestQuantizeFxOps::test_copy_node_fp32_input, test/test_quantization.py::TestQuantizeFxOps::test_float_functional, test/test_quantization.py::TestQuantizeFxOps::test_functional_conv, test/test_quantization.py::TestQuantizeFxOps::test_gelu_normal, test/test_quantization.py::TestQuantizeFxOps::test_instance_norm, test/test_quantization.py::TestQuantizeFxOps::test_layer_norm, test/test_quantization.py::TestQuantizeFxOps::test_mul_relu, test/test_quantization.py::TestQuantizeFxOps::test_norm_weight_bias, test/test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle, test/test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle, test/test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle_module, test/test_quantization.py::TestQuantizeFxOps::test_ref_pattern_multi_use, test/test_quantization.py::TestQuantizeFxModels::test_resnet18_ddp, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_with_no_quant_inbetween, test/test_quantization.py::TestMetaDataPorting::test_no_metadata_porting, test/test_quantization.py::TestMetaDataPorting::test_simple_metadata_porting, test/test_quantization.py::TestNumericDebugger::test_deepcopy_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_run_decompositions_map_handle_to_new_nodes, test/test_quantization.py::TestQuantizePT2E::test_allow_exported_model_train_eval_idempotent, test/test_quantization.py::TestQuantizePT2E::test_prepare_obs_or_fq_callback, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_float8_e4m3fn, test/test_quantization.py::TestQuantizePT2E::test_reentrant, test/test_quantization.py::TestPT2ERepresentation::test_qdq, test/test_quantization.py::TestPT2ERepresentation::test_static_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_add_mul_scalar, test/test_quantization.py::TestXNNPACKQuantizer::test_conv1d_with_conv2d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv_linear_no_permute, test/test_quantization.py::TestXNNPACKQuantizer::test_gru, test/test_quantization.py::TestXNNPACKQuantizer::test_linear_gru, test/test_quantization.py::TestXNNPACKQuantizer::test_linear_relu, test/test_quantization.py::TestXNNPACKQuantizer::test_propagate_annotation, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_avg_pool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_single_input, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_dynamic_quant_linear, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_flatten_recipe2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_dynamic_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_with_mixed_configs, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_no_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_inplace_add_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_fold_bn_erases_bn_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_literal_args, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_preserve_source_fn_stack, test/test_quantization.py::TestQuantizePT2EQATModels::test_qat_mobilenet_v2, test/test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_count, test/test_quantization.py::TestFXGraphMatcher::test_results_order, test/test_quantization.py::TestFXGraphMatcher::test_simple_fun, test/test_quantization.py::TestFXGraphMatcher::test_simple_tensor_ops, test/test_quantization.py::TestFXGraphMatcher::test_user_defined_function, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_mul_inputs_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_meth_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_mod, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_shadow_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_loggers_preserve_qat_numerics, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_meth_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_loggers_preserve_qat_numerics, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module_scriptable, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_conv_bn_relu_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_from_list, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_ordering, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_linear, test/test_quantization.py::TestFxModelReportDetector::test_multi_linear_model_without_per_channel, test/test_quantization.py::TestFxModelReportDetector::test_sequential_model_format, test/test_quantization.py::TestFxModelReportObserver::test_random_epochs_and_batches, test/test_quantization.py::TestFxModelReportClass::test_generate_visualizer, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_report_gen_empty, test/test_quantization.py::TestFxDetectOutliers::test_no_outlier_report_gen, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_equalization_scales, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_graphs, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_results, test/test_quantization.py::TestSerialization::test_linear_relu_package_quantization_transforms, test/test_quantization.py::TestSerialization::test_lstm, test/test_quantization.py::TestSerialization::test_per_tensor_observer, test/test_quantization.py::TestQuantizeJit::test_conv_transpose, test/test_quantization.py::TestQuantizeJit::test_observer_with_ignored_function, test/test_quantization.py::TestQuantizeJit::test_single_linear_dynamic, test/test_quantization.py::TestQuantizeJit::test_skip_quant, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_in_submodule, test/test_quantization.py::TestQuantizeJitPasses::test_inplace_option, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_child_qconfig, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_if, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_in_submodule, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_weight_dtype, test/test_quantization.py::TestQuantizeJitOps::test_conv_with_benchmark_flag, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncRelu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_quant_multi_uses, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic, test/test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fuse_modules, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantize_jit, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_batchnorm, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_utils, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fusion_patterns, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_graph_module, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_quantize_fx, test/test_quantization.py::TestBitsCPU::test_cat_cpu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_float8_e8m0fnu_rne_rounding_cpu, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e8m0fnu 2025-07-17T08:08:11.7500311Z 2025-07-17T08:08:15.7293647Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:08:15.7296457Z import pkg_resources 2025-07-17T08:08:15.9066842Z Running export/test_export_with_inline_and_install 1/1 ... [2025-07-17 08:08:15.906256] 2025-07-17T08:08:15.9068576Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:08:15.9070970Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export_with_inline_and_install.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:08:15.906657] 2025-07-17T08:08:24.9988446Z 2025-07-17T08:08:24.9990357Z export/test_export_with_inline_and_install 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_with_inline_and_install_1.1_0b34b7a30a800bcc_.log 2025-07-17T08:08:24.9998158Z 2025-07-17T08:08:28.5512481Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:08:28.5515422Z import pkg_resources 2025-07-17T08:08:28.6765350Z Running dynamo/test_install_free_tensors 1/1 ... [2025-07-17 08:08:28.676018] 2025-07-17T08:08:28.6766139Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:08:28.6772682Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_install_free_tensors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:08:28.676464] 2025-07-17T08:08:32.2771189Z 2025-07-17T08:08:32.2772854Z dynamo/test_install_free_tensors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_install_free_tensors_1.1_d5956cc8b70a5d46_.log 2025-07-17T08:08:32.2774161Z 2025-07-17T08:08:36.5874492Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:08:36.5876196Z import pkg_resources 2025-07-17T08:08:36.7973233Z Running dynamo/cpython/3_13/test_list 1/1 ... [2025-07-17 08:08:36.796867] 2025-07-17T08:08:36.7974412Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:08:36.7978215Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_list.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:08:36.797435] 2025-07-17T08:08:43.2827685Z 2025-07-17T08:08:43.2829360Z dynamo/cpython/3_13/test_list 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_list_1.1_19369d177d4dfb49_.log 2025-07-17T08:08:43.2867691Z Running 65 items in this shard: test/dynamo/cpython/3_13/test_list.py::ListTest::test_addmul, test/dynamo/cpython/3_13/test_list.py::ListTest::test_append, test/dynamo/cpython/3_13/test_list.py::ListTest::test_basic, test/dynamo/cpython/3_13/test_list.py::ListTest::test_bigrepeat, test/dynamo/cpython/3_13/test_list.py::ListTest::test_clear, test/dynamo/cpython/3_13/test_list.py::ListTest::test_constructor_exception_handling, test/dynamo/cpython/3_13/test_list.py::ListTest::test_constructors, test/dynamo/cpython/3_13/test_list.py::ListTest::test_contains, test/dynamo/cpython/3_13/test_list.py::ListTest::test_contains_fake, test/dynamo/cpython/3_13/test_list.py::ListTest::test_contains_order, test/dynamo/cpython/3_13/test_list.py::ListTest::test_copy, test/dynamo/cpython/3_13/test_list.py::ListTest::test_count, test/dynamo/cpython/3_13/test_list.py::ListTest::test_count_index_remove_crashes, test/dynamo/cpython/3_13/test_list.py::ListTest::test_delitem, test/dynamo/cpython/3_13/test_list.py::ListTest::test_delslice, test/dynamo/cpython/3_13/test_list.py::ListTest::test_deopt_from_append_list, test/dynamo/cpython/3_13/test_list.py::ListTest::test_empty_slice, test/dynamo/cpython/3_13/test_list.py::ListTest::test_equal_operator_modifying_operand, test/dynamo/cpython/3_13/test_list.py::ListTest::test_exhausted_iterator, test/dynamo/cpython/3_13/test_list.py::ListTest::test_extend, test/dynamo/cpython/3_13/test_list.py::ListTest::test_extendedslicing, test/dynamo/cpython/3_13/test_list.py::ListTest::test_free_after_iterating, test/dynamo/cpython/3_13/test_list.py::ListTest::test_getitem, test/dynamo/cpython/3_13/test_list.py::ListTest::test_getitem_error, test/dynamo/cpython/3_13/test_list.py::ListTest::test_getitemoverwriteiter, test/dynamo/cpython/3_13/test_list.py::ListTest::test_getslice, test/dynamo/cpython/3_13/test_list.py::ListTest::test_iadd, test/dynamo/cpython/3_13/test_list.py::ListTest::test_identity, test/dynamo/cpython/3_13/test_list.py::ListTest::test_imul, test/dynamo/cpython/3_13/test_list.py::ListTest::test_index, test/dynamo/cpython/3_13/test_list.py::ListTest::test_init, test/dynamo/cpython/3_13/test_list.py::ListTest::test_insert, test/dynamo/cpython/3_13/test_list.py::ListTest::test_iterator_pickle, test/dynamo/cpython/3_13/test_list.py::ListTest::test_keyword_args, test/dynamo/cpython/3_13/test_list.py::ListTest::test_keywords_in_subclass, test/dynamo/cpython/3_13/test_list.py::ListTest::test_len, test/dynamo/cpython/3_13/test_list.py::ListTest::test_list_index_modifing_operand, test/dynamo/cpython/3_13/test_list.py::ListTest::test_list_resize_overflow, test/dynamo/cpython/3_13/test_list.py::ListTest::test_lt_operator_modifying_operand, test/dynamo/cpython/3_13/test_list.py::ListTest::test_minmax, test/dynamo/cpython/3_13/test_list.py::ListTest::test_no_comdat_folding, test/dynamo/cpython/3_13/test_list.py::ListTest::test_overflow, test/dynamo/cpython/3_13/test_list.py::ListTest::test_pickle, test/dynamo/cpython/3_13/test_list.py::ListTest::test_pop, test/dynamo/cpython/3_13/test_list.py::ListTest::test_preallocation, test/dynamo/cpython/3_13/test_list.py::ListTest::test_remove, test/dynamo/cpython/3_13/test_list.py::ListTest::test_repeat, test/dynamo/cpython/3_13/test_list.py::ListTest::test_repr, test/dynamo/cpython/3_13/test_list.py::ListTest::test_repr_deep, test/dynamo/cpython/3_13/test_list.py::ListTest::test_repr_large, test/dynamo/cpython/3_13/test_list.py::ListTest::test_repr_mutate, test/dynamo/cpython/3_13/test_list.py::ListTest::test_reverse, test/dynamo/cpython/3_13/test_list.py::ListTest::test_reversed, test/dynamo/cpython/3_13/test_list.py::ListTest::test_reversed_pickle, test/dynamo/cpython/3_13/test_list.py::ListTest::test_set_subscript, test/dynamo/cpython/3_13/test_list.py::ListTest::test_setitem, test/dynamo/cpython/3_13/test_list.py::ListTest::test_setitem_error, test/dynamo/cpython/3_13/test_list.py::ListTest::test_setslice, test/dynamo/cpython/3_13/test_list.py::ListTest::test_slice, test/dynamo/cpython/3_13/test_list.py::ListTest::test_slice_assign_iterator, test/dynamo/cpython/3_13/test_list.py::ListTest::test_sort, test/dynamo/cpython/3_13/test_list.py::ListTest::test_step_overflow, test/dynamo/cpython/3_13/test_list.py::ListTest::test_subscript, test/dynamo/cpython/3_13/test_list.py::ListTest::test_tier2_invalidates_iterator, test/dynamo/cpython/3_13/test_list.py::ListTest::test_truth 2025-07-17T08:08:43.2904892Z 2025-07-17T08:08:47.5584837Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:08:47.5588161Z import pkg_resources 2025-07-17T08:08:47.7585951Z Running functorch/test_vmap 1/2 ... [2025-07-17 08:08:47.757629] 2025-07-17T08:08:47.7586828Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:08:47.7589238Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:08:47.758124] 2025-07-17T08:09:06.2782924Z 2025-07-17T08:09:06.2784596Z test_quantization 3/5 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_3.5_91d6ee0563802240_.log 2025-07-17T08:09:06.2992752Z Running 259 items in this shard: test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool, test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_avg_pool3d_nhwc, test/test_quantization.py::TestQuantizedOps::test_batch_norm_relu, test/test_quantization.py::TestQuantizedOps::test_custom_module_multi_head_attention, test/test_quantization.py::TestQuantizedOps::test_hardswish, test/test_quantization.py::TestQuantizedOps::test_int8_add_onednn, test/test_quantization.py::TestQuantizedOps::test_int8_batch_norm_onednn, test/test_quantization.py::TestQuantizedOps::test_interpolate3d, test/test_quantization.py::TestQuantizedOps::test_max_pool2d_pt2e, test/test_quantization.py::TestQuantizedOps::test_qadd_broadcast, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_cudnn, test/test_quantization.py::TestQuantizedOps::test_qelu, test/test_quantization.py::TestQuantizedOps::test_qprelu, test/test_quantization.py::TestQuantizedOps::test_qrelu6, test/test_quantization.py::TestQuantizedOps::test_quantized_equal, test/test_quantization.py::TestQuantizedOps::test_sigmoid_dequantize_rounding_error, test/test_quantization.py::TestQuantizedOps::test_sigmoid_non_observed, test/test_quantization.py::TestQNNPackOps::test_avg_pool2d, test/test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid, test/test_quantization.py::TestQuantizedLinear::test_qlinear_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_gelu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_qnnpack_free_memory_and_unpack, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_relu_pt2e, test/test_quantization.py::TestQuantizedConv::test_benchmark, test/test_quantization.py::TestQuantizedConv::test_conv_reorder_issue_onednn, test/test_quantization.py::TestQuantizedConv::test_conv_transpose_reorder_issue_onednn, test/test_quantization.py::TestQuantizedConv::test_qconv1d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv2d_add_relu, test/test_quantization.py::TestQuantizedConv::test_qconv2d_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv3d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv1d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose3d, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear, test/test_quantization.py::TestDynamicQuantizedOps::test_qrnncell, test/test_quantization.py::TestDynamicQuantizedOps::test_wrapped_fbgemm_linear_fp16, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel_cachemask_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_forward_backward_per_tensor_with_amp, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_cachemask_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_half_precision_numerics, test/test_quantization.py::TestFakeQuantizeOps::test_fq_module_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_fq_serializable_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_channel_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_tensor_cpu, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_backward_op_fake_quant_off, test/test_quantization.py::TestQuantizedTensor::test_decomposed_choose_qparams_per_token_asymmetric_backward, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cuda, test/test_quantization.py::TestQuantizedTensor::test_jit_serialization, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_creation_cuda, test/test_quantization.py::TestQuantizedTensor::test_per_tensor_to_device, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_tensor_nhwc, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_select_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_int_repr, test/test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_permute, test/test_quantization.py::TestQuantizedTensor::test_quant_pin_memory, test/test_quantization.py::TestQuantizedTensor::test_quantize_per_channel_float_qparams, test/test_quantization.py::TestQuantizedTensor::test_torch_qtensor_deepcopy, test/test_quantization.py::TestObserver::test_histogram_observer_handle_OOM_due_to_close_min_max_value, test/test_quantization.py::TestObserver::test_histogram_observer_handle_close_to_infinity, test/test_quantization.py::TestObserver::test_histogram_observer_save_load_state_dict, test/test_quantization.py::TestObserver::test_zero_numel, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d, test/test_quantization.py::TestStaticQuantizedModule::test_conv1d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_add_relu, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv3d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_quant_dequant_api, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv1d, test/test_quantization.py::TestReferenceQuantizedModule::test_sparse, test/test_quantization.py::TestHistogramObserver::test_histogram_observer, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_extreme_inputs, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_same_inputs, test/test_quantization.py::TestHistogramObserver::test_observer_scriptable, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_reduce_range, test/test_quantization.py::TestBackendConfig::test_backend_config_from_dict, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_fused_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_reference_quantized_module, test/test_quantization.py::TestUtils::test_quantize_weight_clamping_per_channel, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_activations, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_activations_in_non_leaf_module_list, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_two_layers, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested3, test/test_quantization.py::TestQuantizeEagerQAT::test_dropout, test/test_quantization.py::TestQuantizeEagerQAT::test_qat_embedding_bag_errors, test/test_quantization.py::TestQuantizeEagerQAT::test_train_save_load_eval, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_relu, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_fixed_qparam_ops, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_numerics, test/test_quantization.py::TestFuseEager::test_fuse_module_eval, test/test_quantization.py::TestModelNumericsEager::test_weight_only_activation_only_fakequant, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_functional_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_conv_static, test/test_quantization.py::TestEqualizeEager::test_converged, test/test_quantization.py::TestEqualizeEager::test_equalize, test/test_quantization.py::TestBiasCorrectionEager::test_conv_chain, test/test_quantization.py::TestFuseFx::test_fuse_addtional_fuser_method, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_onednn, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_relu, test/test_quantization.py::TestFuseFx::test_fusion_pattern_with_multiple_inputs, test/test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx, test/test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx_dynamic_quant, test/test_quantization.py::TestQuantizeFx::test_attention, test/test_quantization.py::TestQuantizeFx::test_backend_config_check_for_weight_and_bias, test/test_quantization.py::TestQuantizeFx::test_backend_config_quantization_range, test/test_quantization.py::TestQuantizeFx::test_conv_linear_not_reference, test/test_quantization.py::TestQuantizeFx::test_conv_lowering, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_not_reference, test/test_quantization.py::TestQuantizeFx::test_convtranspose_per_channel_fails_early, test/test_quantization.py::TestQuantizeFx::test_custom_module_class_input_has_multiple_users, test/test_quantization.py::TestQuantizeFx::test_deepcopy_preserve_attributes, test/test_quantization.py::TestQuantizeFx::test_fp32_input_quantized_output, test/test_quantization.py::TestQuantizeFx::test_get_executorch_backend_config, test/test_quantization.py::TestQuantizeFx::test_linear_leaky_relu_lowering, test/test_quantization.py::TestQuantizeFx::test_linear_tanh_lowering, test/test_quantization.py::TestQuantizeFx::test_lowering_functional_conv_with_kwargs, test/test_quantization.py::TestQuantizeFx::test_mul_add_fp16_config, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_float_to_observed_mapping, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_names, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_to_dict, test/test_quantization.py::TestQuantizeFx::test_prepared_model_deepcopy, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_tuple_args, test/test_quantization.py::TestQuantizeFx::test_qat_skip_untraced, test/test_quantization.py::TestQuantizeFx::test_qconfig_dict_setup, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_global, test/test_quantization.py::TestQuantizeFx::test_qconfig_module_type, test/test_quantization.py::TestQuantizeFx::test_qnnpack_backend_config, test/test_quantization.py::TestQuantizeFx::test_quantized_input_quantized_output, test/test_quantization.py::TestQuantizeFx::test_ref_conv_module, test/test_quantization.py::TestQuantizeFx::test_reuse_input_qconfig, test/test_quantization.py::TestQuantizeFx::test_size_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_torch_transpose_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_transpose_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFxOps::test_bmm, test/test_quantization.py::TestQuantizeFxOps::test_boolean_tensor, test/test_quantization.py::TestQuantizeFxOps::test_chunk, test/test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_fp16, test/test_quantization.py::TestQuantizeFxOps::test_general_value_ops, test/test_quantization.py::TestQuantizeFxOps::test_leaky_relu, test/test_quantization.py::TestQuantizeFxOps::test_linear_static_fp16, test/test_quantization.py::TestQuantizeFxOps::test_quantized_mul_qat, test/test_quantization.py::TestQuantizeFxModels::test_prepare_serialize_switch_device_convert, test/test_quantization.py::TestQuantizeFxModels::test_qat_embedding_linear, test/test_quantization.py::TestQuantizeFxModels::test_switch_device_prepare_convert, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_quantization.py::TestGraphUtils::test_conv_bn_conv_relu, test/test_quantization.py::TestDuplicateDQPass::test_simple_duplicate_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_two_dq, test/test_quantization.py::TestNumericDebugger::test_prepare_for_propagation_comparison, test/test_quantization.py::TestQuantizePT2E::test_allow_implicit_sharing, test/test_quantization.py::TestQuantizePT2E::test_composable_quantizer_throw, test/test_quantization.py::TestQuantizePT2E::test_disallow_eval_train, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_observer_dedup, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_qat, test/test_quantization.py::TestQuantizePT2E::test_groupwise_per_channel_quant, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_int16, test/test_quantization.py::TestXNNPACKQuantizer::test_add_mul_long, test/test_quantization.py::TestXNNPACKQuantizer::test_conv2d, test/test_quantization.py::TestXNNPACKQuantizer::test_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_mul_float32_max, test/test_quantization.py::TestXNNPACKQuantizer::test_qat_dynamic_linear, test/test_quantization.py::TestXNNPACKQuantizerModels::test_resnet18, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_conv2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_maxpool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_dynamic_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_lowering_to_x86, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_case2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_with_mixed_configs, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig_with_underscores, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_literal_args, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_no_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_inplace_add_relu, test/test_quantization.py::TestFXGraphMatcher::test_dict_return_type, test/test_quantization.py::TestFXGraphMatcher::test_simple_mod, test/test_quantization.py::TestFXGraphMatcherModels::test_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_either_fp32_or_int8_input, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_only_kwargs_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_end_to_end, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_insert_padding, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_lstm_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_mobilenet_v2, test/test_quantization.py::TestFxModelReportDetector::test_conv_sub_class_considered, test/test_quantization.py::TestFxModelReportDetector::test_multiple_q_config_options, test/test_quantization.py::TestFxModelReportDetector::test_simple_conv, test/test_quantization.py::TestFxModelReportClass::test_equalization_mapping_generation, test/test_quantization.py::TestFxDetectOutliers::test_all_outlier_report_gen, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_prepare, test/test_quantization.py::TestEqualizeFx::test_selective_equalization, test/test_quantization.py::TestSerialization::test_linear_relu, test/test_quantization.py::TestQuantizeJit::test_single_linear, test/test_quantization.py::TestQuantizeJitPasses::test_finalize_debug, test/test_quantization.py::TestQuantizeJitPasses::test_fuse_linear, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_nested_if, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_reused_weight, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface, test/test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant_shared_class_type, test/test_quantization.py::TestQuantizeJitOps::test_cat_linear, test/test_quantization.py::TestQuantizeJitOps::test_clamp, test/test_quantization.py::TestQuantizeJitOps::test_elu, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_conv, test/test_quantization.py::TestQuantizeJitOps::test_quantized_conv_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar_relu, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_insert_quant_dequant_linear_dynamic, test/test_quantization.py::TestFusionPasses::test_quantized_add_relu_fusion, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantize, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_rnn, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_embedding_ops, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_qat, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_bn_relu, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_convert, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_equalize, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fuse, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e4m3fnuz 2025-07-17T08:09:06.3179376Z 2025-07-17T08:09:07.2355098Z Uploading artifacts took 0.95 seconds 2025-07-17T08:09:11.0151271Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:09:11.0154244Z import pkg_resources 2025-07-17T08:09:11.1466611Z Running functorch/test_vmap 2/2 ... [2025-07-17 08:09:11.146026] 2025-07-17T08:09:11.1467517Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:09:11.1474232Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:09:11.146447] 2025-07-17T08:10:15.1177693Z 2025-07-17T08:10:15.1184052Z test_quantization 2/5 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_2.5_1ba1ea4f2d9d69ec_.log 2025-07-17T08:10:15.1399958Z Running 259 items in this shard: test/test_quantization.py::TestQuantizedOps::test_avg_pool3d, test/test_quantization.py::TestQuantizedOps::test_batch_norm, test/test_quantization.py::TestQuantizedOps::test_channel_shuffle, test/test_quantization.py::TestQuantizedOps::test_equal, test/test_quantization.py::TestQuantizedOps::test_instance_norm, test/test_quantization.py::TestQuantizedOps::test_leaky_relu, test/test_quantization.py::TestQuantizedOps::test_max_pool3d, test/test_quantization.py::TestQuantizedOps::test_max_pool3d_nhwc, test/test_quantization.py::TestQuantizedOps::test_mul_scalar_relu, test/test_quantization.py::TestQuantizedOps::test_qlayer_norm, test/test_quantization.py::TestQuantizedOps::test_qrelu, test/test_quantization.py::TestQuantizedOps::test_qsoftmax_qnnpack, test/test_quantization.py::TestQuantizedOps::test_quantized_mean_qnnpack, test/test_quantization.py::TestQuantizedOps::test_std, test/test_quantization.py::TestQNNPackOps::test_hardtanh, test/test_quantization.py::TestQNNPackOps::test_qnnpack_add_broadcast, test/test_quantization.py::TestQNNPackOps::test_qnnpack_relu, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_relu_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_tanh, test/test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear, test/test_quantization.py::TestQuantizedConv::test_qconv1d, test/test_quantization.py::TestQuantizedConv::test_qconv1d_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv2d_add, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardtanh_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv3d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose2d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv2d, test/test_quantization.py::TestDynamicQuantizedOps::test_wrapped_fbgemm_pack_gemm_matrix_fp16_pt2_compliant, test/test_quantization.py::TestComparatorOps::test_compare_tensor_tensor, test/test_quantization.py::TestPadding::test_constant_padNd, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_2d_indices, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2bit, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_4bit, test/test_quantization.py::TestQuantizedFunctionalOps::test_conv3d_api, test/test_quantization.py::TestQuantizedFunctionalOps::test_grid_sample, test/test_quantization.py::TestQuantizedFunctionalOps::test_relu_api, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_tensor_cpu, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_backward_op, test/test_quantization.py::TestQuantizedTensor::test_compare_per_channel_device_numerics, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_to_memory_format, test/test_quantization.py::TestQuantizedTensor::test_per_tensor_qtensor_to_memory_format, test/test_quantization.py::TestQuantizedTensor::test_qtensor_channel_float_assignment, test/test_quantization.py::TestQuantizedTensor::test_qtensor_dtypes, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_put_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_legacy_new_failure, test/test_quantization.py::TestQuantizedTensor::test_qtensor_permute, test/test_quantization.py::TestQuantizedTensor::test_qtensor_resize, test/test_quantization.py::TestQuantizedTensor::test_qtensor_sub_byte_not_aligned_cols, test/test_quantization.py::TestFakeQuantize::test_fq_module_per_channel, test/test_quantization.py::TestObserver::test_histogram_observer_ignore_infinity, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d, test/test_quantization.py::TestStaticQuantizedModule::test_conv1d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv3d_api, test/test_quantization.py::TestStaticQuantizedModule::test_dropout_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_hard_swish, test/test_quantization.py::TestStaticQuantizedModule::test_layer_norm, test/test_quantization.py::TestStaticQuantizedModule::test_linear_tanh, test/test_quantization.py::TestStaticQuantizedModule::test_relu, test/test_quantization.py::TestStaticQuantizedModule::test_sigmoid, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose1d, test/test_quantization.py::TestDynamicQuantizedModule::test_linear_api, test/test_quantization.py::TestDynamicQuantizedModule::test_lstm_api, test/test_quantization.py::TestReferenceQuantizedModule::test_rnn_cell, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_against_reference, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_one_sided, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_single_inputs, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_update_within_range_succeeds, test/test_quantization.py::TestBackendConfig::test_backend_config_set_name, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_fuser_method, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_num_tensor_args_to_observation_type, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_qat_module, test/test_quantization.py::TestUtils::test_uint4_int4_dtype, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_two_layers, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_1d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_3d, test/test_quantization.py::TestQuantizeEagerOps::test_leaky_relu, test/test_quantization.py::TestQuantizeEagerQAT::test_conv_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_dynamic_qat_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_eval_only_fake_quant, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_symm_numerics, test/test_quantization.py::TestFuseEager::test_forward_hooks_preserved, test/test_quantization.py::TestFuseEager::test_fuse_modules_with_nested_hooks, test/test_quantization.py::TestFuseEager::test_fusion_convtranspose_bn_eval, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_functional_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_conv_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_mobilenet_v3, test/test_quantization.py::TestNumericSuiteEager::test_shadow_logger, test/test_quantization.py::TestEqualizeEager::test_cross_layer_equalization, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_lowering, test/test_quantization.py::TestFuseFx::test_fuse_convtranspose_bn_eval, test/test_quantization.py::TestFuseFx::test_fuse_linear_bn_leaky_relu_onednn, test/test_quantization.py::TestFuseFx::test_fuse_module_relu, test/test_quantization.py::TestFuseFx::test_problematic_fuse_example, test/test_quantization.py::TestQuantizeFx::test_channel_shuffle_lowering, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_set_preserved_attributes, test/test_quantization.py::TestQuantizeFx::test_copy_node_has_shared_actpp_instance, test/test_quantization.py::TestQuantizeFx::test_dict_output, test/test_quantization.py::TestQuantizeFx::test_fuse_custom_config_set_preserved_attributes, test/test_quantization.py::TestQuantizeFx::test_fused_module_qat_swap, test/test_quantization.py::TestQuantizeFx::test_fusion_pattern_unquantized, test/test_quantization.py::TestQuantizeFx::test_get_default_qconfig_valid_backend, test/test_quantization.py::TestQuantizeFx::test_getattr_with_nontensor_result, test/test_quantization.py::TestQuantizeFx::test_linear_bn, test/test_quantization.py::TestQuantizeFx::test_lowering_functional_linear_with_kwargs, test/test_quantization.py::TestQuantizeFx::test_pattern_match, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_output_quantized_indexes, test/test_quantization.py::TestQuantizeFx::test_prepare_mode, test/test_quantization.py::TestQuantizeFx::test_preserve_qconfig, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_args, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_split_list_args, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_object_type, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_to_dict, test/test_quantization.py::TestQuantizeFx::test_qconfig_none, test/test_quantization.py::TestQuantizeFx::test_qparams_buffers, test/test_quantization.py::TestQuantizeFx::test_quant_output_always_observed, test/test_quantization.py::TestQuantizeFx::test_quantized_model_type, test/test_quantization.py::TestQuantizeFx::test_register_patterns, test/test_quantization.py::TestQuantizeFx::test_reshape_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_stack_trace_preserved_linear, test/test_quantization.py::TestQuantizeFx::test_standalone_module_float_interface, test/test_quantization.py::TestQuantizeFx::test_state_dict, test/test_quantization.py::TestQuantizeFx::test_static_lstm, test/test_quantization.py::TestQuantizeFx::test_static_lstm_with_custom_fixed_qparams, test/test_quantization.py::TestQuantizeFx::test_sub_scalar, test/test_quantization.py::TestQuantizeFx::test_torch_unsqueeze_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_unsqueeze__nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_unsqueeze_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFxOps::test_add, test/test_quantization.py::TestQuantizeFxOps::test_add_relu_multiple_uses_of_relu, test/test_quantization.py::TestQuantizeFxOps::test_elu, test/test_quantization.py::TestQuantizeFxOps::test_embedding, test/test_quantization.py::TestQuantizeFxOps::test_embedding_bag, test/test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops, test/test_quantization.py::TestQuantizeFxOps::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizeFxOps::test_mish_reference, test/test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle_module, test/test_quantization.py::TestQuantizeFxOps::test_prelu, test/test_quantization.py::TestQuantizeFxOps::test_qbatch_norm_relu, test/test_quantization.py::TestQuantizeFxOps::test_quantized_add_qat, test/test_quantization.py::TestQuantizeFxOps::test_rnn, test/test_quantization.py::TestQuantizeFxOps::test_softmax_normal, test/test_quantization.py::TestQuantizeFxModels::test_model_dropout, test/test_quantization.py::TestQuantizeFxModels::test_qat_functional_linear, test/test_quantization.py::TestQuantizeFxModels::test_resnet_base, test/test_quantization.py::TestQuantizeFxModels::test_torchvision, test/test_quantization.py::TestGraphUtils::test_conv_bn_relu, test/test_quantization.py::TestGraphUtils::test_customized_equivalet_types_dict, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_dq, test/test_quantization.py::TestNumericDebugger::test_added_node_gets_unique_id, test/test_quantization.py::TestNumericDebugger::test_control_flow, test/test_quantization.py::TestNumericDebugger::test_extract_results_from_loggers_list_output, test/test_quantization.py::TestNumericDebugger::test_quantize_pt2e_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_run_decompositions_same_handle_id, test/test_quantization.py::TestNumericDebugger::test_simple, test/test_quantization.py::TestQuantizePT2E::test_composable_quantizer_linear_conv, test/test_quantization.py::TestQuantizePT2E::test_composable_quantizer_transform_for_annotation, test/test_quantization.py::TestQuantizePT2E::test_conv_transpose_bn_relu, test/test_quantization.py::TestQuantizePT2E::test_embedding_conv_linear_quantization, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_ptq, test/test_quantization.py::TestQuantizePT2E::test_fold_quantize_per_channel, test/test_quantization.py::TestQuantizePT2E::test_max_pool2d_quantizer, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout, test/test_quantization.py::TestQuantizePT2E::test_save_load, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity, test/test_quantization.py::TestQuantizePT2E::test_transform_for_annotation, test/test_quantization.py::TestQuantizePT2EAffineQuantization::test_channel_group_quantization, test/test_quantization.py::TestQuantizePT2EAffineQuantization::test_dynamic_affine_act_per_channel_weights, test/test_quantization.py::TestPT2ERepresentation::test_qdq_per_channel, test/test_quantization.py::TestXNNPACKQuantizer::test_conv_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear_int4_weight, test/test_quantization.py::TestXNNPACKQuantizer::test_linear_with_dynamic_shape, test/test_quantization.py::TestXNNPACKQuantizer::test_mul_and_inplace_mul, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_name, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_same_inputs, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_flatten_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_serials, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary2, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_fold_bn_erases_bn_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_bias_derived_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_per_channel_weight_custom_dtype, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_update_shared_qspec, test/test_quantization.py::TestFXGraphMatcher::test_methods, test/test_quantization.py::TestFXGraphMatcher::test_nodes_before_cat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_fp16_shadows_fp32, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_layer_names, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_ops_with_same_fp32_and_int8_signature, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_defined_function, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_functions, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteNShadows::test_extract_weights_linear, test/test_quantization.py::TestFXNumericSuiteNShadows::test_linear_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_linear_relu_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_logger_enabled_and_save_activations_flags, test/test_quantization.py::TestFXNumericSuiteNShadows::test_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteNShadows::test_partial_qconfig_mapping, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_linear, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_lstm_dynamic, test/test_quantization.py::TestFxModelReportDetectDynamicStatic::test_nested_detection_case, test/test_quantization.py::TestFxModelReportClass::test_prepare_model_callibration, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_match_with_report, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_branching, test/test_quantization.py::TestSerialization::test_conv2d_graph, test/test_quantization.py::TestSerialization::test_conv2d_graph_v3, test/test_quantization.py::TestSerialization::test_conv2d_nobias, test/test_quantization.py::TestSerialization::test_conv2d_relu, test/test_quantization.py::TestSerialization::test_conv3d, test/test_quantization.py::TestSerialization::test_linear_dynamic, test/test_quantization.py::TestQuantizeJit::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizeJitPasses::test_convtranspose_trace, test/test_quantization.py::TestQuantizeJitPasses::test_dedup_module_uses, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_general_ops, test/test_quantization.py::TestQuantizeJitPasses::test_quantize_fork_wait, test/test_quantization.py::TestQuantizeJitOps::test_general_value_ops, test/test_quantization.py::TestQuantizeJitOps::test_hardswish, test/test_quantization.py::TestQuantizeJitOps::test_instance_norm, test/test_quantization.py::TestQuantizeJitOps::test_layer_norm, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncInplaceRelu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_relu, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_shared_weights, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_weight_observer, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_quantize_dynamic_fp16, test/test_quantization.py::TestQuantizeDynamicJitOps::test_linear, test/test_quantization.py::TestDeprecatedJitQuantized::test_quantization_modules, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantization_mappings, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_stubs, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_embedding_ops, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_conv, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_dropout, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_import, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_linear_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_nn_intrinsic_fused, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_match_utils, test/test_quantization.py::TestBitsCPU::test_subclass_cpu, test/test_quantization.py::TestBitsCPU::test_types_cpu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e4m3fn 2025-07-17T08:10:15.1620907Z 2025-07-17T08:10:19.5909336Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:10:19.5913058Z import pkg_resources 2025-07-17T08:10:19.7543655Z Running test_nestedtensor 1/4 ... [2025-07-17 08:10:19.753807] 2025-07-17T08:10:19.7544855Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:10:19.7548378Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:10:19.754393] 2025-07-17T08:16:02.2817813Z 2025-07-17T08:16:02.2819047Z functorch/test_vmap 1/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.2_36183cf2dae22804_.log 2025-07-17T08:16:02.3380468Z Running 1055 items in this shard: test/functorch/test_vmap.py::TestVmapAPI::test_accepts_nested_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_batch_rule_does_not_need_to_handle_no_batched_input, test/functorch/test_vmap.py::TestVmapAPI::test_constant_function, test/functorch/test_vmap.py::TestVmapAPI::test_data_attribute, test/functorch/test_vmap.py::TestVmapAPI::test_data_dependent_control_flow_throws, test/functorch/test_vmap.py::TestVmapAPI::test_decomposition_under_python_dispatcher, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_masked_fill, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_warning, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_with_undefined_grad, test/functorch/test_vmap.py::TestVmapAPI::test_grad_unsupported_interaction, test/functorch/test_vmap.py::TestVmapAPI::test_in_dim_not_in_tensor_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_nary_different_levels, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_unary, test/functorch/test_vmap.py::TestVmapAPI::test_item_throws, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_negative_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_non_default_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_diag_embed, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_same_map_dim, test/functorch/test_vmap.py::TestVmapAPI::test_non_zero_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_none_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_noop_in_inner_vmap, 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test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_div_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_inplace_manyview_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_lgamma_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_log1p_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_log_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_max_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_median_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_min_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_mul_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_randomness_backend0_randomness_different_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_randomness_backend0_randomness_same_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_select_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_stack_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sub_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_trace_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_vmap_fallback_check_ok, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_where_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_grad_and_value_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jacfwd_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jvp_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_2_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_unbatched_randomness_error_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_different_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_same_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_first_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_none_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_first_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_first_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_first_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_last_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_none_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_False_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_different_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_different_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_same_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_unsupported_random_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_0_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_check_tensor_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_nt_and_batched_dense_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_unary_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_with_nt_and_batched_dense_with_nonzero_bdim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_multilevel_vmap_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_acts_as_dense_in_vmap_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_with_nonzero_in_dim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_with_nonzero_out_dim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_shape_call_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_vmap_fallback_check_ok 2025-07-17T08:16:02.3859946Z 2025-07-17T08:16:07.1345186Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:16:07.1348124Z import pkg_resources 2025-07-17T08:16:07.3438583Z Running inductor/test_torchinductor_dynamic_shapes 1/1 ... [2025-07-17 08:16:07.343235] 2025-07-17T08:16:07.3439912Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:16:07.3446728Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:16:07.343713] 2025-07-17T08:16:16.3522017Z 2025-07-17T08:16:16.3523806Z inductor/test_torchinductor_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_1.1_9d4c78ce7aae30ea_.log 2025-07-17T08:16:16.3525694Z 2025-07-17T08:16:20.0355229Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:16:20.0358095Z import pkg_resources 2025-07-17T08:16:20.1766295Z Running test_binary_ufuncs 1/1 ... [2025-07-17 08:16:20.175857] 2025-07-17T08:16:20.1767504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:16:20.1770036Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_binary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:16:20.176315] 2025-07-17T08:16:33.6183224Z 2025-07-17T08:16:33.6184598Z functorch/test_vmap 2/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_2.2_c71467d8188e389a_.log 2025-07-17T08:16:33.6692001Z Running 1067 items in this shard: test/functorch/test_vmap.py::TestVmapAPI::test_backward_unsupported_interaction, test/functorch/test_vmap.py::TestVmapAPI::test_batched_gradient_basic, test/functorch/test_vmap.py::TestVmapAPI::test_checkpoint, test/functorch/test_vmap.py::TestVmapAPI::test_different_map_dim_size_raises, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_does_not_warn_by_default, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_multiple_returns, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_warns_when_warnings_are_enabled, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_zero_dim, test/functorch/test_vmap.py::TestVmapAPI::test_func_with_no_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_func_with_no_tensors, test/functorch/test_vmap.py::TestVmapAPI::test_functools_partial, test/functorch/test_vmap.py::TestVmapAPI::test_in_dims_wrong_type_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_nary_same_levels, test/functorch/test_vmap.py::TestVmapAPI::test_integer_in_dim_but_not_tensor_input_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_outputs, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_outputs2, test/functorch/test_vmap.py::TestVmapAPI::test_nested_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_different_map_dim, test/functorch/test_vmap.py::TestVmapAPI::test_nn_module, test/functorch/test_vmap.py::TestVmapAPI::test_non_default_in_dims_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_non_tensor_output_raises, test/functorch/test_vmap.py::TestVmapAPI::test_nonzero_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_must_be_int_or_collection_of_int_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_none, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns_broadcast_nested, test/functorch/test_vmap.py::TestVmapAPI::test_reshape_dim_into, test/functorch/test_vmap.py::TestVmapAPI::test_restore_vmap_pytree_input_output, test/functorch/test_vmap.py::TestVmapAPI::test_restore_vmap_unexpanded_outputs, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_add, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_add_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_mul, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_mul_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_pow, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_pow_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_sub, test/functorch/test_vmap.py::TestVmapOperators::test_as_strided, test/functorch/test_vmap.py::TestVmapOperators::test_bmm, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_clamp, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_inplace_variant_clamp_max_, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_inplace_variant_clamp_min_, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_variant_clamp_min, test/functorch/test_vmap.py::TestVmapOperators::test_conj, test/functorch/test_vmap.py::TestVmapOperators::test_conj_bit, test/functorch/test_vmap.py::TestVmapOperators::test_contiguous, test/functorch/test_vmap.py::TestVmapOperators::test_conv2d, test/functorch/test_vmap.py::TestVmapOperators::test_copy_, test/functorch/test_vmap.py::TestVmapOperators::test_diagonal, test/functorch/test_vmap.py::TestVmapOperators::test_imag, test/functorch/test_vmap.py::TestVmapOperators::test_is_contiguous, test/functorch/test_vmap.py::TestVmapOperators::test_mean_dim, test/functorch/test_vmap.py::TestVmapOperators::test_mm, test/functorch/test_vmap.py::TestVmapOperators::test_mv, test/functorch/test_vmap.py::TestVmapOperators::test_narrow, test/functorch/test_vmap.py::TestVmapOperators::test_real, test/functorch/test_vmap.py::TestVmapOperators::test_repeat, test/functorch/test_vmap.py::TestVmapOperators::test_reshape_as, test/functorch/test_vmap.py::TestVmapOperators::test_roll_no_dims, test/functorch/test_vmap.py::TestVmapOperators::test_slogdet, test/functorch/test_vmap.py::TestVmapOperators::test_squeeze, test/functorch/test_vmap.py::TestVmapOperators::test_sum, test/functorch/test_vmap.py::TestVmapOperators::test_sum_dim, test/functorch/test_vmap.py::TestVmapOperators::test_trace, test/functorch/test_vmap.py::TestVmapOperators::test_transpose, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_acos, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_asin, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_ceil, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_cosh, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_digamma, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_exp, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_expm1, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_frac, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_lgamma, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_log1p, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_relu, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_round, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_rsqrt, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_sign, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_sinh, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_tanh, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_trunc, test/functorch/test_vmap.py::TestVmapOperators::test_unbind, test/functorch/test_vmap.py::TestVmapOperators::test_unsafe_view, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_composition_in_dim_0_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_composition_in_dim_0_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_composition_in_dim_0_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_composition_in_dim_1_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_composition_in_dim_1_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_composition_in_dim_1_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_0_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_0_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_0_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_0_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_1_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_1_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_error_in_dim_1_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_0_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_0_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_0_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_1_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_1_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_1_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_2_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_2_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_2_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_vmap_chunksize_in_dim_2_out_dim_2_randomness_error, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_0d_tensor_index_put_inplace_False_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_0d_tensor_index_put_inplace_True_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_batch_norm_training_False_track_running_stats_False_affine_True_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_batch_norm_training_False_track_running_stats_True_affine_False_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_batch_norm_training_False_track_running_stats_True_affine_True_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_batch_norm_training_True_track_running_stats_False_affine_True_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_batch_norm_training_True_track_running_stats_True_affine_True_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_flatten_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_foo_like_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_group_norm_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_linalg_svd_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_nested_advanced_indexing_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyCatCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyCubeCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyNMSCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyNonzeroCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpySortAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpySplitCopyCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpySplitCopyWithIntCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_NumpyViewCopyCustomOp_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_op_has_batch_rule___getitem___functorch_cpu_float32, 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test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_special_spherical_bessel_j0_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_special_zeta_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_split_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_split_with_sizes_copy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_split_with_sizes_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_sqrt_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_square_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_squeeze_copy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_squeeze_multiple_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_std_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_std_mean_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_stft_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_sum_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_sum_to_size_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_t_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_take_along_dim_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_take_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_tan_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_tanh_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_tensordot_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_to_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_topk_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_trapezoid_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_trapz_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_tril_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_tril_indices_cpu_int64, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_triu_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unbind_copy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_uniform_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unique_consecutive_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsafe_chunk_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsqueeze_copy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsqueeze_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_var_unbiased_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_as_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_as_real_cpu_complex64, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_vsplit_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_vstack_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_zeros_like_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cholesky_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cholesky_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_det_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_diagonal_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_eigvalsh_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_householder_product_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_inv_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_ldl_solve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lstsq_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_factor_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_factor_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_norm_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_rank_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_norm_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_pinv_hermitian_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_pinv_singular_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_qr_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_slogdet_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_triangular_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_vecdot_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_vector_norm_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_multi_dot_failure_1D_input_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_add_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_binary_cross_entropy_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_diagonal_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_expand_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_index_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_inplace_view_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_log_softmax_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_logsumexp_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_permute_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_randomness_backend0_randomness_error_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_reshape_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sdpa_backend0_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sigmoid_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_slice_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_threshold_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_unrelated_output_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_unrelated_output_multiple_grad_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_grad_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jacrev_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_vjp_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_vmap_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_same_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_0_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_1_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_2_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_chunk_vmap_in_dim_2_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_unbatched_randomness_different_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_dropout_unbatched_randomness_same_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_different_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_error_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_error_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_factory_ops_randomness_same_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_alpha_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_first_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_last_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_last_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_different_batched_input_none_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_last_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_last_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_none_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_error_batched_input_none_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_first_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_last_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_feature_dropout_randomness_same_batched_input_none_dim_3_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_jacfwd_with_random_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_like_functions_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_different_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_error_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_True_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_False_randomness_same_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_different_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_False_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_error_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_False_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_True_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_multinomial_use_generator_True_randomness_same_batched_call_True_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_different_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_error_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_False_randomness_same_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_error_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_error_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_same_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_2_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test__is_all_true_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test__is_any_true_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_vmap_fallback_check_ok, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_cat_batching_rule_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_nt_and_unbatched_dense_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_vmap_fallback_check 2025-07-17T08:16:33.7202120Z 2025-07-17T08:16:37.0448315Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:16:37.0449988Z import pkg_resources 2025-07-17T08:16:37.1711107Z Running functorch/test_aotdispatch 1/6 ... [2025-07-17 08:16:37.170689] 2025-07-17T08:16:37.1711978Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:16:37.1714508Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=1', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:16:37.171105] 2025-07-17T08:18:36.7904902Z 2025-07-17T08:18:36.7908442Z test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_binary_ufuncs_1.1_0a33fb17c880674e_.log 2025-07-17T08:18:37.3148155Z Running 12862 items in this shard: test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___add___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___and___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___eq___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___floordiv___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ge___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___gt___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iadd___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___iand___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ifloordiv___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___ilshift___not_implemented_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test___imod___not_implemented_cpu_float16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_eq_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_float_power_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_floor_divide_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmax_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmin_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_fmod_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gcd_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gcd_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gcd_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gcd_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gcd_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ge_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_gt_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_heaviside_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_hypot_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igamma_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_igammac_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_isclose_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_jiterator_binary_return_by_ref_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_lcm_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_ldexp_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_le_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logaddexp_cpu_float16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_and_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_logical_or_cpu_float16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_chebyshev_polynomial_w_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_h_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_hermite_polynomial_he_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_laguerre_polynomial_l_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_legendre_polynomial_p_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_special_shifted_chebyshev_polynomial_t_cpu_int8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_true_divide_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_every_other_xlogy_cpu_bfloat16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_atan2_cpu_uint8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_right_shift_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_right_shift_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_right_shift_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_bitwise_xor_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_clamp_max_cpu_uint8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_copysign_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_floor_rounding_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_no_rounding_mode_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_div_trunc_rounding_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_eq_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_float_power_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_floor_divide_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmax_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmin_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_fmod_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gcd_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ge_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_gt_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_heaviside_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_hypot_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igamma_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_igammac_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_isclose_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_jiterator_binary_return_by_ref_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lcm_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ldexp_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_le_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logaddexp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_and_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_or_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_logical_xor_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_lt_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_max_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_maximum_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_min_binary_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_minimum_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_mul_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_ne_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_nextafter_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_nextafter_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_nextafter_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_nextafter_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_polar_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_polar_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_pow_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_remainder_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_rsub_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_contig_vs_transposed_special_chebyshev_polynomial_t_cpu_int8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_copysign_subgradient_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cpow_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cpu_tensor_pow_cuda_scalar_tensor_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cremainder_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cross_device_binary_ops_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cross_device_inplace_error_msg_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_csub_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cuda_tensor_pow_scalar_tensor_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_cumulative_trapezoid_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_and_floordiv_script_vs_python_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_and_floordiv_vs_python_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_modes_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_nonfinite_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_div_rounding_numpy_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divide_by_zero_rounding_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_divmul_scalar_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_bfloat16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex128_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_complex64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_float64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_power_exceptions_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_scalar_pow_float_tensor_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_float_scalar_pow_float_tensor_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_div_extremal_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_scalar_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_tensor_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_floor_divide_zero_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_float_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_float_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_float_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_by_zero_integral_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_fmod_remainder_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_gcd_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex128_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex128_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_complex_cpu_complex64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bfloat16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_bool_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_float64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_heaviside_cross_device_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_hypot_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_hypot_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_hypot_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_hypot_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_idiv_and_ifloordiv_vs_python_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_inplace_division_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_inplace_dunders_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_int_and_float_pow_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_int_tensor_pow_neg_ints_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lcm_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lcm_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lcm_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_ldexp_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_lowp_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_lowp_cpu_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_lowp_cpu_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_lowp_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_weight_scalar_tensor_promotion_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_weight_scalar_tensor_promotion_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_weight_scalar_tensor_promotion_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_weight_scalar_tensor_promotion_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_weight_tensor_promotion_error_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_weight_tensor_promotion_error_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_lerp_weight_tensor_promotion_error_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp2_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp2_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logaddexp2_cpu_float64, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_logical_xor_with_nontrivial_alignment_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_long_tensor_pow_floats_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_and_minimum_subgradient_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex128_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_complex_cpu_complex64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_cross_device_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_float_nan_and_inf_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_forward_ad_float32_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_int_and_bool_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bfloat16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_bool_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_float64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_maximum_minimum_type_promotion_cpu_uint8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_min_max_binary_op_nan_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_min_max_binary_op_nan_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_mul_chalf_tensor_and_cpu_scalar_cpu_complex32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_mul_cpu, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_mul_intertype_scalar_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_mul_intertype_scalar_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_complex128, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_complex64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_muldiv_scalar_cpu_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_nextafter_bfloat16_cpu_bfloat16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_nextafter_cpu_float16, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_float16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_xlogy_xlog1py_cpu_int8_uint8, 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test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_bool_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_float64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int16_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int32_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int64_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_int8_uint8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_bool, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_float32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_float64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_int16, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_int32, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_int64, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_int8, test/test_binary_ufuncs.py::TestBinaryUfuncsCPU::test_zeta_cpu_uint8_uint8 2025-07-17T08:18:37.8288103Z 2025-07-17T08:18:40.3466755Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:18:40.3469877Z import pkg_resources 2025-07-17T08:18:40.4780511Z Running functorch/test_aotdispatch 2/6 ... [2025-07-17 08:18:40.477636] 2025-07-17T08:18:40.4781318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:18:40.4783488Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=2', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:18:40.478024] 2025-07-17T08:19:06.6496728Z 2025-07-17T08:19:06.6498114Z test_nestedtensor 1/4 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.4_5129b69ac5308aaa_.log 2025-07-17T08:19:06.6883986Z Running 375 items in this shard: test/test_nestedtensor.py::TestNestedTensor::test_2d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_2d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_float_batch_size_2_max_seq_len_3_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_float_batch_size_2_max_seq_len_3_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_cat, test/test_nestedtensor.py::TestNestedTensor::test_copy_, test/test_nestedtensor.py::TestNestedTensor::test_like_functions_randn_like, test/test_nestedtensor.py::TestNestedTensor::test_nested_tensor, test/test_nestedtensor.py::TestNestedTensor::test_size_dim, test/test_nestedtensor.py::TestNestedTensor::test_unbind_4, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_binary_ops_with_scalar_ge_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_bmm_cuda_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_bmm_noncontiguous_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_detach_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_detach_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_device_checks_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_dropout_jagged_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_dropout_jagged_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_embedding_jagged_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_linear_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_linear_noncontiguous_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_linear_noncontiguous_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_masked_fill_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_matmul_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_matmul_nt_with_broadcasted_t_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_matmul_with_bmm_path_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_narrow_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_128_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_128_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_384_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_8_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_indexing_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_indexing_noncontiguous_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_mul_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_scaled_dot_product_attention_input_dim_3_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_serialization_requires_grad_False_weights_only_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_softmax_noncontiguous_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_dim3_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_dim4_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_noncontiguous_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_cos_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_silu_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_sin_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_sqrt_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_tanh__cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_view_inference_mode_interaction_cpu_float32, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_backward_add_strided_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_backward_for_add_op_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_dropout_backward_jagged_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_gelu_backward_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_5d_size_128_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_edge_case_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_size_128_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_size_4_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_size_512_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_generates_leaf_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_linear_plus_transpose_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_reshape_backward_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_reshape_gradcheck_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_softmax_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_squeeze_gradcheck_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_relu_backward_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_selu_backward_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_to_buffer_series_ops_grad_with_broadcast_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_values_grad_with_broadcast_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_False_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_True_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_True_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_False_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_True_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_jagged_requires_grad_False_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_jagged_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_False_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_False_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_False_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_False_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_False_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_False_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_True_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_True_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_True_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_False_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_False_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_False_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_True_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_False_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_True_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_True_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_False_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_True_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_False_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_False_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_binary_pointwise_broadcasting_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_binary_pointwise_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_binary_pointwise_with_nested_int_second_arg_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_compile_padded_dense_conversion_preserves_metadata_cache_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_compile_preserves_metadata_cache_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_composite_op_with_custom_mode_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_construction_from_list_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_device_dtype_transfer_updates_offsets_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_flatten_decomp_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_flex_attention_noncontig_with_holes_False_cross_attention_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_flex_attention_noncontig_with_holes_True_cross_attention_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_flex_attention_noncontig_with_holes_True_cross_attention_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_is_contiguous_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_as_nested_tensor_components_require_grad_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_as_nested_tensor_components_require_grad_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_nested_tensor_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_nested_tensor_requires_grad_False_components_require_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_op_different_output_shape_dim_sum_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_op_different_output_shape_dim_sum_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_view_from_values_offsets_requires_grad_True_values_is_view_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_operate_on_batch_dim_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_with_lengths_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layout_under_torch_dispatch_mode_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_linear_nt_dim_3_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_linear_nt_dim_4_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_linear_nt_dim_5_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_sum_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_sum_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_1_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_2_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_2_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_sum_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_backwards_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_flop_counter_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_with_constant_sequence_length_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_with_constant_sequence_length_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_with_packed_in_proj_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_1_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_1_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_greater_than_1_same_output_shape_transpose_offset_2_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_with_lengths_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_with_lengths_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_specialize_dynamic_shape_recompile_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_squeeze_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_ragged_and_non_batch_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_ragged_and_non_batch_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_2_requires_grad_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_2_requires_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_3_requires_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_4_requires_grad_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_4_requires_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_2_requires_grad_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_2_requires_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_2_requires_grad_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_3_requires_grad_True_cpu_bool, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_backward_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_transpose_ragged_idx_3_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_view_ragged_idx_not_one_cpu, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward___rmod___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_add_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_amax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_amin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_angle_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_asin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_atan_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_ceil_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_chalf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_clamp_max_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_conj_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_erf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_erfinv_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_exp2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_float_power_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_frac_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_i0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_linalg_vector_norm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_logaddexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_masked_prod_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_masked_var_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_max_reduction_with_dim_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_narrow_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_celu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_hardtanh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_linear_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_logsigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_prelu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_softplus_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_softshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_threshold_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_polygamma_polygamma_n_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_polygamma_polygamma_n_2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_polygamma_polygamma_n_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_positive_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_rad2deg_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_real_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_reciprocal_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_remainder_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_sgn_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_sigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_i1e_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_ndtri_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_squeeze_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_where_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward___rmod___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward___rpow___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward___rsub___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_abs_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_acos_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_add_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_complex_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_digamma_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_frac_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_ldexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_logsumexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_mean_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_std_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_sum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_max_reduction_with_dim_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_min_binary_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_min_reduction_with_dim_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_mul_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_neg_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_embedding_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_hardshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_prelu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_rms_norm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_rrelu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_polar_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_prod_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_reciprocal_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_sigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_sin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_special_i1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_special_xlog1py_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_split_with_sizes_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_sqrt_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_std_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_true_divide_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_xlogy_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward___rpow___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_abs_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_angle_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_argmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_atan2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_cfloat_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_char_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_deg2rad_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_digamma_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_div_floor_rounding_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_erf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_erfc_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_erfinv_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_float_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_float_power_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_floor_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_floor_divide_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_frac_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_ge_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_half_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_isclose_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_isneginf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_jiterator_binary_return_by_ref_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_logical_not_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_logical_or_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_masked_amax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_ne_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_nn_functional_hardshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_nn_functional_linear_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_nn_functional_logsigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_nn_functional_relu6_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_nn_functional_rms_norm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_polar_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_polygamma_polygamma_n_1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_rad2deg_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_round_decimals_neg_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_rsub_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_short_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_sigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_sinc_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_sinh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_special_bessel_y0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_special_hermite_polynomial_he_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_special_spherical_bessel_j0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_special_zeta_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_split_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_tan_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_tanh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_true_divide_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_trunc_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_acos_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_acosh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_add_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_asinh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_cfloat_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_chunk_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_cos_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_count_nonzero_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_digamma_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_eq_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_erfc_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_erfinv_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_exp2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_float_power_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_floor_divide_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_fmin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_frexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_i0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_igamma_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_igammac_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_isposinf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_ldexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_log1p_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_logical_xor_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_lt_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_masked_argmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_masked_norm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_mean_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_min_binary_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_nn_functional_elu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_nn_functional_hardshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_nn_functional_prelu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_nn_functional_rms_norm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_nn_functional_softsign_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_nn_functional_tanhshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_nn_functional_threshold_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_polygamma_polygamma_n_4_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_pow_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_round_decimals_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_round_decimals_neg_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_airy_ai_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_bessel_j0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_chebyshev_polynomial_v_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_erfcx_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_hermite_polynomial_he_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_legendre_polynomial_p_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_modified_bessel_i0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_modified_bessel_i1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_scaled_modified_bessel_k0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_scaled_modified_bessel_k1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_split_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_sqrt_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_to_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_trunc_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_xlogy_cpu_float32 2025-07-17T08:19:06.7100018Z 2025-07-17T08:19:10.6746370Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:19:10.6747911Z import pkg_resources 2025-07-17T08:19:10.8055883Z Running functorch/test_aotdispatch 4/6 ... [2025-07-17 08:19:10.805165] 2025-07-17T08:19:10.8056704Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:19:10.8059259Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=4', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:19:10.805578] 2025-07-17T08:23:11.7806185Z 2025-07-17T08:23:11.7808160Z functorch/test_aotdispatch 1/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_1.6_2be86db0c395513d_.log 2025-07-17T08:23:11.8121807Z Running 353 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_mutation_data, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_pass_autocast_custom, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_pass_autocast_on, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_composite_impl_compile, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_and_none_require_gradients, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_and_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_other_input2, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_and_output_view, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_is_output, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_requires_grad_no_grad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_set__input_mutation, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_simple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_storage_resize_down, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_output_aliase_custom_autograd_function, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_mark_activations_dynamic_with_nested, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_nested_subclasses, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_nested_subclasses_complicated_inps, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_new_inp_requires_grad_now, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_non_tensor_and_none_inputs, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_and_returned_different_grad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_inplace_view_and_view, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_mutation_linear, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_output_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_op_depending_on_symint, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_real_weights_in_symbolic_mode_with_inplace_ops, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_set__not_allowed, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_set__steals_view_chain, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_subclass_metadata_mutation_req_grad_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_synthetic_base_base_attribute_is_none, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_input_mutation, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_map_1, test/functorch/test_aotdispatch.py::TestPartitioning::test_default_partitioner_getitem, test/functorch/test_aotdispatch.py::TestPartitioning::test_recompute_partitioning, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_input_data_and_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_input_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_output_requires_grad_in_no_grad, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_aot_module_simplified_preserves_stack_trace, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_aot_test_subclasses_with_tensor_factories, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_inductor_freezing_with_subclasses, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_noncontig_nonmemformat_tangents_dynamic_shapes_True_test_subclasses_False_device_cuda, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_rrelu, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_saved_tensors_hooks_recompile, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_external_calls_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_make_fx_vmap_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_nnc_scalar_cpu, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___rmul___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___rpow___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_acosh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addmv_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_cpu_float32, 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test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_index_fill_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_int_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_lu_factor_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_linalg_matrix_rank_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_log_softmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logaddexp2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_logical_and_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_lu_solve_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_map_triple_nested_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_argmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_fill_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_masked_median_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_maximum_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_movedim_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nanmedian_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_bilinear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_conv3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_dropout3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_hardswish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_huber_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_l1_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_pool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_pool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_mish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_mse_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_nonzero_static_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_norm_inf_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_outer_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_polar_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_rand_like_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_randn_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_reshape_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_resolve_neg_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_select_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_signal_windows_bartlett_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_softmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_softmax_with_dtype_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_bessel_y1_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_modified_bessel_k1_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_stack_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_sum_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_take_along_dim_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_trapz_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_triangular_solve_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_triu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_trunc_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unflatten_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unfold_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_uniform_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unique_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_unsqueeze_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_var_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_view_as_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_view_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_symbolic_exhaustive_where_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_BatchNorm2d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_CircularPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_CrossEntropyLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_GLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_GaussianNLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_InstanceNorm2d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_KLDivLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LPPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LSTMCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LeakyReLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LogSigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_PoissonNLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReLU6_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReplicationPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReplicationPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_SmoothL1Loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Softsign_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Transformer_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ZeroPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm1d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CTCLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CircularPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Hardshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_KLDivLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LSTM_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConvTranspose3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LeakyReLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LocalResponseNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MarginRankingLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softsign_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_TransformerEncoder_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ZeroPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_False_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_False_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_autocast_disable_guard, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_pass_autocast_custom, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_pass_autocast_off, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_complex_linear, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dupe_arg_returned_as_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_duplicated_arguments_on_tensor_overlap, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_grad_context, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_alias_everything, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_and_none_require_gradients, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_metadata2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_noncontiguous, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_storage_resize_before_set_, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_inputs_overlapping_with_mutation_guard_base, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_dupe_left_bias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_list_codegen, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mark_activations_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mark_activations_dynamic_with_nested, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mark_outputs_dynamic_use_autograd_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mutations_in_bw_detached_from_tangent, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_non_tensor_and_none_inputs, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_input_multi_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_mutation_linear, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_all_alias_types, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_saved_tensors_hooks_mutations_raise, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_view_detach, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_False_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_mutation_data, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_complex_linear, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_composite_impl_compile, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_custom_autograd, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_duplicated_arguments_on_tensor_overlap, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_grad_context, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_inference_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_aliased_with_mutation_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_inplace_requires_grad_true, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_set__nop, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_down_and_set_, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_output_aliase_custom_autograd_function, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_output_view_simple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_inputs_overlapping_unsqueeze_with_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_invalid_requires_grad_fake, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mark_outputs_dynamic_use_autograd_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_nested_subclasses_complicated_inps_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_and_returned_flipped, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_no_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_returned_multiple_times, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_all_alias_types, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__not_allowed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_subclass_metadata_mutation_req_grad_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_view_detach 2025-07-17T08:23:11.8305341Z 2025-07-17T08:23:14.9624903Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:23:14.9627762Z import pkg_resources 2025-07-17T08:23:15.0969038Z Running test_foreach 1/1 ... [2025-07-17 08:23:15.096488] 2025-07-17T08:23:15.0970725Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:23:15.0972984Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_foreach.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:23:15.096883] 2025-07-17T08:25:10.4325828Z 2025-07-17T08:25:10.4327059Z test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_foreach_1.1_d28047736b055bec_.log 2025-07-17T08:25:10.6340805Z Running 3577 items in this shard: test/test_foreach.py::TestForeachCPU::test_0dim_tensor_overload_cpu_ok_cpu, test/test_foreach.py::TestForeachCPU::test_0dim_tensor_overload_exception_cpu, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float32, 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test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_sqrt_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tan_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_tanh_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_trunc_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_bool, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_float16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_float32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_float64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int16, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int32, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int64, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_int8, test/test_foreach.py::TestForeachCPU::test_unary_op_tensors_on_different_devices__foreach_zero_cpu_uint8 2025-07-17T08:25:10.7761522Z 2025-07-17T08:25:13.7641325Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:25:13.7644285Z import pkg_resources 2025-07-17T08:25:13.8915461Z Running dynamo/cpython/3_13/test_generator_stop 1/1 ... [2025-07-17 08:25:13.891113] 2025-07-17T08:25:13.8916435Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:25:13.8919078Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_generator_stop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:25:13.891557] 2025-07-17T08:25:17.4147705Z 2025-07-17T08:25:17.4149090Z dynamo/cpython/3_13/test_generator_stop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_generator_stop_1.1_844db7c138eca7be_.log 2025-07-17T08:25:17.4151155Z Running 2 items in this shard: test/dynamo/cpython/3_13/test_generator_stop.py::TestPEP479::test_stopiteration_wrapping, test/dynamo/cpython/3_13/test_generator_stop.py::TestPEP479::test_stopiteration_wrapping_context 2025-07-17T08:25:17.4152117Z 2025-07-17T08:25:20.7332236Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:25:20.7335054Z import pkg_resources 2025-07-17T08:25:20.8633045Z Running dynamo/cpython/3_13/test_exception_variations 1/1 ... [2025-07-17 08:25:20.862844] 2025-07-17T08:25:20.8634007Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:25:20.8636762Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_exception_variations.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:25:20.863287] 2025-07-17T08:25:24.4336007Z 2025-07-17T08:25:24.4337835Z dynamo/cpython/3_13/test_exception_variations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_exception_variations_1.1_a2a589efb3e821c8_.log 2025-07-17T08:25:24.4350694Z Running 15 items in this shard: test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested_else, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested_exception_in_else, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested_exception_in_except, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested_exception_in_finally_no_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_nested_exception_in_finally_with_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_else, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_else_finally, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_else_finally_no_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_else_no_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_finally, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_finally_no_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_except_no_exception, test/dynamo/cpython/3_13/test_exception_variations.py::ExceptTestCases::test_try_finally_no_exception 2025-07-17T08:25:24.4361224Z 2025-07-17T08:25:27.9746729Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:25:27.9749708Z import pkg_resources 2025-07-17T08:25:28.1004149Z Running dynamo/cpython/3_13/test_int_literal 1/1 ... [2025-07-17 08:25:28.099973] 2025-07-17T08:25:28.1005003Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:25:28.1007087Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_int_literal.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:25:28.100362] 2025-07-17T08:25:31.5197229Z 2025-07-17T08:25:31.5198910Z dynamo/cpython/3_13/test_int_literal 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_int_literal_1.1_675833f74f029074_.log 2025-07-17T08:25:31.5204293Z Running 6 items in this shard: test/dynamo/cpython/3_13/test_int_literal.py::TestHexOctBin::test_bin_baseline, test/dynamo/cpython/3_13/test_int_literal.py::TestHexOctBin::test_bin_unsigned, test/dynamo/cpython/3_13/test_int_literal.py::TestHexOctBin::test_hex_baseline, test/dynamo/cpython/3_13/test_int_literal.py::TestHexOctBin::test_hex_unsigned, test/dynamo/cpython/3_13/test_int_literal.py::TestHexOctBin::test_oct_baseline, test/dynamo/cpython/3_13/test_int_literal.py::TestHexOctBin::test_oct_unsigned 2025-07-17T08:25:31.5208426Z 2025-07-17T08:25:34.7111825Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:25:34.7114711Z import pkg_resources 2025-07-17T08:25:34.8689575Z Running dynamo/cpython/3_13/test_with 1/1 ... [2025-07-17 08:25:34.868092] 2025-07-17T08:25:34.8690463Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:25:34.8697689Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_with.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:25:34.868558] 2025-07-17T08:25:39.0913352Z 2025-07-17T08:25:39.0914848Z dynamo/cpython/3_13/test_with 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_with_1.1_8f1a9d79544b4186_.log 2025-07-17T08:25:39.0964628Z Running 51 items in this shard: test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testAssignmentToNoneError, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testAssignmentToTupleContainingNoneError, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testAssignmentToTupleOnlyContainingNoneError, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testEnterAttributeError1, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testEnterAttributeError2, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testEnterThrows, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testExitAttributeError, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testExitThrows, test/dynamo/cpython/3_13/test_with.py::FailureTestCase::testNameError, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testBoundGenerator, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testInlineGeneratorBoundSyntax, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testInlineGeneratorBoundToDottedVariable, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testInlineGeneratorBoundToExistingVariable, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testInlineGeneratorSyntax, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testNestedSingleStatements, test/dynamo/cpython/3_13/test_with.py::NonexceptionalTestCase::testUnboundGenerator, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testMultipleArgBound, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testMultipleArgUnbound, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testSingleArgBoundToMultipleElementTupleError, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testSingleArgBoundToNonTuple, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testSingleArgBoundToSingleElementParenthesizedList, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testSingleArgInlineGeneratorSyntax, test/dynamo/cpython/3_13/test_with.py::NestedNonexceptionalTestCase::testSingleArgUnbound, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testErrorsInBool, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testExceptionNormalized, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testMultipleResourcesInSingleStatement, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testNestedExceptionAfterInnerStatement, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testNestedExceptionBeforeInnerStatement, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testNestedSingleStatements, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testRaisedGeneratorExit1, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testRaisedGeneratorExit2, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testRaisedStopIteration1, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testRaisedStopIteration2, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testRaisedStopIteration3, test/dynamo/cpython/3_13/test_with.py::ExceptionalTestCase::testSingleResource, test/dynamo/cpython/3_13/test_with.py::NonLocalFlowControlTestCase::testWithBreak, test/dynamo/cpython/3_13/test_with.py::NonLocalFlowControlTestCase::testWithContinue, test/dynamo/cpython/3_13/test_with.py::NonLocalFlowControlTestCase::testWithRaise, test/dynamo/cpython/3_13/test_with.py::NonLocalFlowControlTestCase::testWithReturn, test/dynamo/cpython/3_13/test_with.py::NonLocalFlowControlTestCase::testWithYield, test/dynamo/cpython/3_13/test_with.py::AssignmentTargetTestCase::testMultipleComplexTargets, test/dynamo/cpython/3_13/test_with.py::AssignmentTargetTestCase::testSingleComplexTarget, test/dynamo/cpython/3_13/test_with.py::AssignmentTargetTestCase::testWithExtendedTargets, test/dynamo/cpython/3_13/test_with.py::ExitSwallowsExceptionTestCase::testExitFalseDoesntSwallowException, test/dynamo/cpython/3_13/test_with.py::ExitSwallowsExceptionTestCase::testExitTrueSwallowsException, test/dynamo/cpython/3_13/test_with.py::NestedWith::testEnterReturnsTuple, test/dynamo/cpython/3_13/test_with.py::NestedWith::testExceptionInEnter, test/dynamo/cpython/3_13/test_with.py::NestedWith::testExceptionInExit, test/dynamo/cpython/3_13/test_with.py::NestedWith::testExceptionInExprList, test/dynamo/cpython/3_13/test_with.py::NestedWith::testExceptionLocation, test/dynamo/cpython/3_13/test_with.py::NestedWith::testNoExceptions 2025-07-17T08:25:39.1004194Z 2025-07-17T08:25:43.7034533Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:25:43.7037851Z import pkg_resources 2025-07-17T08:25:43.8912514Z Running dynamo/cpython/3_13/test_numeric_tower 1/1 ... [2025-07-17 08:25:43.890675] 2025-07-17T08:25:43.8913979Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:25:43.8916318Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_numeric_tower.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:25:43.891141] 2025-07-17T08:25:47.6121844Z 2025-07-17T08:25:47.6123546Z dynamo/cpython/3_13/test_numeric_tower 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_numeric_tower_1.1_fe53db8ba5627325_.log 2025-07-17T08:25:47.6130272Z Running 9 items in this shard: test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_binary_floats, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_bools, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_complex, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_decimals, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_fractions, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_hash_normalization, test/dynamo/cpython/3_13/test_numeric_tower.py::HashTest::test_integers, test/dynamo/cpython/3_13/test_numeric_tower.py::ComparisonTest::test_complex, test/dynamo/cpython/3_13/test_numeric_tower.py::ComparisonTest::test_mixed_comparisons 2025-07-17T08:25:47.6133575Z 2025-07-17T08:25:51.6788569Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:25:51.6791807Z import pkg_resources 2025-07-17T08:25:51.8682086Z Running dynamo/cpython/3_13/test_ordered_dict 1/1 ... [2025-07-17 08:25:51.867523] 2025-07-17T08:25:51.8683152Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:25:51.8685704Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_ordered_dict.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:25:51.868064] 2025-07-17T08:26:15.1737523Z 2025-07-17T08:26:15.1739681Z dynamo/cpython/3_13/test_ordered_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_ordered_dict_1.1_5816bb669864471c_.log 2025-07-17T08:26:15.1996946Z Running 295 items in this shard: test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_468, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_abc, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_clear, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_copying, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_delitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_delitem_hash_collision, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_detect_deletion_during_iteration, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_dict_clear, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_dict_delitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_dict_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_dict_popitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_dict_setdefault, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_dict_setitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_dict_update, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_equality, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_free_after_iterating, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictTests::test_fromkeys, 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test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_dict_setitem, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_dict_update, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_equality, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_free_after_iterating, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_fromkeys, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_highly_nested, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_highly_nested_subclass, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_init, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_init_calls, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_issue119004_change_linked_list_by_clear, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_issue119004_change_linked_list_by_delete_key, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_issue119004_change_size_by_clear, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_issue119004_change_size_by_delete_key, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_issue119004_change_size_by_delete_key_in_dict_eq, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_issue24347, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_issue24348, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_issue24667, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_iterators, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_iterators_empty, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_iterators_pickling, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_key_change_during_iteration, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_merge_operator, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_move_to_end, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_move_to_end_issue25406, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_ordered_dict_items_result_gc, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_overridden_init, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_override_update, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_pickle_recursive, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_popitem, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_popitem_last, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_reduce_not_too_fat, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_reference_loop, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_reinsert, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_repr, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_repr_recursive, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_repr_recursive_values, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_setdefault, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_setitem, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_sizeof, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_sizeof_exact, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_sorted_iterators, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_update, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_views, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_weakref_list_is_not_traversed, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictSubclassTests::test_yaml_linkage, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonOrderedDictWithSlotsCopyingTests::test_copying, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonOrderedDictWithSlotsCopyingTests::test_copying, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_bool, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_constructor, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_get, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_getitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_items, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_keys, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_len, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_popitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_read, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_setdefault, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_update, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_values, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonGeneralMappingTests::test_write, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_bool, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_constructor, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_get, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_getitem, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_items, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_keys, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_len, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_popitem, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_read, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_setdefault, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_update, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_values, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonGeneralMappingTests::test_write, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_bool, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_constructor, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_get, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_getitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_items, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_keys, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_len, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_popitem, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_read, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_setdefault, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_update, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_values, test/dynamo/cpython/3_13/test_ordered_dict.py::PurePythonSubclassMappingTests::test_write, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_bool, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_constructor, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_get, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_getitem, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_items, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_keys, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_len, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_popitem, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_read, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_setdefault, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_update, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_values, test/dynamo/cpython/3_13/test_ordered_dict.py::CPythonSubclassMappingTests::test_write, test/dynamo/cpython/3_13/test_ordered_dict.py::PySimpleLRUCacheTests::test_add_after_full, test/dynamo/cpython/3_13/test_ordered_dict.py::PySimpleLRUCacheTests::test_change_order_on_get, test/dynamo/cpython/3_13/test_ordered_dict.py::PySimpleLRUCacheTests::test_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::PySimpleLRUCacheTests::test_popitem, test/dynamo/cpython/3_13/test_ordered_dict.py::CSimpleLRUCacheTests::test_add_after_full, test/dynamo/cpython/3_13/test_ordered_dict.py::CSimpleLRUCacheTests::test_change_order_on_get, test/dynamo/cpython/3_13/test_ordered_dict.py::CSimpleLRUCacheTests::test_pop, test/dynamo/cpython/3_13/test_ordered_dict.py::CSimpleLRUCacheTests::test_popitem 2025-07-17T08:26:15.2251409Z 2025-07-17T08:26:18.9548406Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:26:18.9551494Z import pkg_resources 2025-07-17T08:26:19.1822516Z Running dynamo/cpython/3_13/test_baseexception 1/1 ... [2025-07-17 08:26:19.181323] 2025-07-17T08:26:19.1823649Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:26:19.1825579Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_baseexception.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:26:19.181804] 2025-07-17T08:26:23.5043427Z 2025-07-17T08:26:23.5045209Z dynamo/cpython/3_13/test_baseexception 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_baseexception_1.1_fafd2033c81dfb79_.log 2025-07-17T08:26:23.5055872Z Running 11 items in this shard: test/dynamo/cpython/3_13/test_baseexception.py::ExceptionClassTests::test_builtins_new_style, test/dynamo/cpython/3_13/test_baseexception.py::ExceptionClassTests::test_inheritance, test/dynamo/cpython/3_13/test_baseexception.py::ExceptionClassTests::test_interface_multi_arg, test/dynamo/cpython/3_13/test_baseexception.py::ExceptionClassTests::test_interface_no_arg, test/dynamo/cpython/3_13/test_baseexception.py::ExceptionClassTests::test_interface_single_arg, test/dynamo/cpython/3_13/test_baseexception.py::ExceptionClassTests::test_setstate_refcount_no_crash, test/dynamo/cpython/3_13/test_baseexception.py::UsageTests::test_catch_BaseException_instance, test/dynamo/cpython/3_13/test_baseexception.py::UsageTests::test_catch_non_BaseException, test/dynamo/cpython/3_13/test_baseexception.py::UsageTests::test_catch_string, test/dynamo/cpython/3_13/test_baseexception.py::UsageTests::test_raise_new_style_non_exception, test/dynamo/cpython/3_13/test_baseexception.py::UsageTests::test_raise_string 2025-07-17T08:26:23.5065835Z 2025-07-17T08:26:27.6308435Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:26:27.6311310Z import pkg_resources 2025-07-17T08:26:27.7801527Z Running dynamo/cpython/3_13/test_int 1/1 ... [2025-07-17 08:26:27.779618] 2025-07-17T08:26:27.7802715Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:26:27.7808764Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_int.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:26:27.780473] 2025-07-17T08:26:33.7060960Z 2025-07-17T08:26:33.7062501Z dynamo/cpython/3_13/test_int 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_int_1.1_0831a602b19b6128_.log 2025-07-17T08:26:33.7099017Z Running 46 items in this shard: test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_basic, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_error_message, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_base_bad_types, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_base_indexable, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_base_limits, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_memoryview, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_returns_int_subclass, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_subclass_with_index, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_int_subclass_with_int, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_intconversion, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_invalid_signs, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_issue31619, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_keyword_args, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_no_args, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_non_numeric_input_types, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_small_ints, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_string_float, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_underscores, test/dynamo/cpython/3_13/test_int.py::IntTestCases::test_unicode, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_denial_of_service_prevented_int_to_str, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_denial_of_service_prevented_str_to_int, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_disabled_limit, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_int_from_other_bases, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_int_max_str_digits_is_per_interpreter, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_max_str_digits, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_max_str_digits_edge_cases, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_power_of_two_bases_unlimited, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_sign_not_counted, test/dynamo/cpython/3_13/test_int.py::IntStrDigitLimitsTests::test_underscores_ignored, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_denial_of_service_prevented_int_to_str, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_denial_of_service_prevented_str_to_int, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_disabled_limit, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_int_from_other_bases, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_int_max_str_digits_is_per_interpreter, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_max_str_digits, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_max_str_digits_edge_cases, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_power_of_two_bases_unlimited, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_sign_not_counted, test/dynamo/cpython/3_13/test_int.py::IntSubclassStrDigitLimitsTests::test_underscores_ignored, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_int_divmod, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_int_to_decimal, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_int_to_decimal_2, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_misbehavior_error_path_from_str, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_misbehavior_error_path_to_str, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_roundtrip, test/dynamo/cpython/3_13/test_int.py::PyLongModuleTests::test_pylong_str_to_int 2025-07-17T08:26:33.7133825Z 2025-07-17T08:26:37.8040013Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:26:37.8043061Z import pkg_resources 2025-07-17T08:26:37.9664147Z Running dynamo/cpython/3_13/test_itertools 1/1 ... [2025-07-17 08:26:37.965983] 2025-07-17T08:26:37.9665153Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:26:37.9668444Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_itertools.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:26:37.966458] 2025-07-17T08:26:47.9617089Z 2025-07-17T08:26:47.9618772Z dynamo/cpython/3_13/test_itertools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_itertools_1.1_152fb423e28b955d_.log 2025-07-17T08:26:47.9696011Z Running 139 items in this shard: test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_StopIteration, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_accumulate, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_batched, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_bug_7244, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_chain, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_chain_from_iterable, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_chain_reducible, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_chain_setstate, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_overflow, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_with_replacement, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_with_replacement_overflow, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_with_replacement_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinations_with_replacement_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_combinatorics, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_compress, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_count, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_count_threading, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_count_with_step, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_count_with_step_threading, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_cycle, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_cycle_copy_pickle, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_cycle_setstate, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_cycle_unpickle_compat, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_dropwhile, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_filter, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_filterfalse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_groupby, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_immutable_types, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_islice, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_map, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_pairwise, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_pairwise_reenter, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_pairwise_reenter2, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_pairwise_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_permutations, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_permutations_overflow, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_permutations_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_permutations_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product_issue_25021, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product_overflow, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product_pickling, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_product_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_repeat, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_repeat_with_negative_times, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_starmap, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_takewhile, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_tee, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_tee_concurrent, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_tee_dealloc_segfault, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_tee_del_backward, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_tee_reenter, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip_longest_bad_iterable, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip_longest_pickling, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip_longest_result_gc, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip_longest_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_zip_tuple_reuse, test/dynamo/cpython/3_13/test_itertools.py::TestBasicOps::test_ziplongest, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_accumulate, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_accumulate_reducible, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_accumulate_reducible_none, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_chain, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_chain_from_iterable, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_combinations, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_combinations_with_replacement, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_compress, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_count, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_cycle, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_dropwhile, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_filter, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_filterfalse, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_groupby, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_islice, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_map, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_permutations, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_product, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_repeat, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_stapmap, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_takewhile, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_zip, test/dynamo/cpython/3_13/test_itertools.py::TestExamples::test_zip_longest, test/dynamo/cpython/3_13/test_itertools.py::TestPurePythonRoughEquivalents::test_batched_recipe, test/dynamo/cpython/3_13/test_itertools.py::TestPurePythonRoughEquivalents::test_islice_recipe, test/dynamo/cpython/3_13/test_itertools.py::TestPurePythonRoughEquivalents::test_tee_recipe, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_accumulate, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_batched, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_chain, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_chain_from_iterable, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_combinations, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_combinations_with_replacement, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_compress, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_count, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_cycle, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_dropwhile, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_filter, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_filterfalse, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_groupby, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_islice, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_issue2246, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_map, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_pairwise, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_permutations, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_product, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_repeat, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_starmap, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_takewhile, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_zip, test/dynamo/cpython/3_13/test_itertools.py::TestGC::test_zip_longest, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_accumulate, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_batched, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_chain, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_compress, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_cycle, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_dropwhile, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_filter, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_filterfalse, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_groupby, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_islice, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_map, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_pairwise, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_product, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_starmap, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_takewhile, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_tee, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_zip, test/dynamo/cpython/3_13/test_itertools.py::TestVariousIteratorArgs::test_ziplongest, test/dynamo/cpython/3_13/test_itertools.py::LengthTransparency::test_repeat, test/dynamo/cpython/3_13/test_itertools.py::LengthTransparency::test_repeat_with_negative_times, test/dynamo/cpython/3_13/test_itertools.py::RegressionTests::test_issue30347_1, test/dynamo/cpython/3_13/test_itertools.py::RegressionTests::test_issue30347_2, test/dynamo/cpython/3_13/test_itertools.py::RegressionTests::test_long_chain_of_empty_iterables, test/dynamo/cpython/3_13/test_itertools.py::RegressionTests::test_sf_793826, test/dynamo/cpython/3_13/test_itertools.py::RegressionTests::test_sf_950057, test/dynamo/cpython/3_13/test_itertools.py::SubclassWithKwargsTest::test_keywords_in_subclass 2025-07-17T08:26:47.9796678Z 2025-07-17T08:26:51.3510831Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:26:51.3513683Z import pkg_resources 2025-07-17T08:26:51.4796378Z Running dynamo/cpython/3_13/test_userlist 1/1 ... [2025-07-17 08:26:51.479198] 2025-07-17T08:26:51.4797299Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:26:51.4799744Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_userlist.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:26:51.479574] 2025-07-17T08:26:56.3517003Z 2025-07-17T08:26:56.3518527Z dynamo/cpython/3_13/test_userlist 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_userlist_1.1_36686368419535dc_.log 2025-07-17T08:26:56.3544804Z Running 51 items in this shard: test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_add_specials, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_addmul, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_append, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_bigrepeat, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_clear, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_constructor_exception_handling, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_constructors, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_contains, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_contains_fake, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_contains_order, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_copy, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_count, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_delitem, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_delslice, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_exhausted_iterator, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_extend, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_extendedslicing, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_free_after_iterating, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_getitem, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_getitem_error, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_getitemoverwriteiter, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_getslice, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_iadd, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_imul, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_index, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_init, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_insert, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_len, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_minmax, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_mixedadd, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_mixedcmp, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_pickle, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_pop, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_radd_specials, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_remove, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_repeat, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_repr, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_repr_deep, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_reverse, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_reversed, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_set_subscript, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_setitem, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_setitem_error, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_setslice, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_slice, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_slice_assign_iterator, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_slice_type, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_sort, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_subscript, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_truth, test/dynamo/cpython/3_13/test_userlist.py::UserListTest::test_userlist_copy 2025-07-17T08:26:56.3570298Z 2025-07-17T08:26:59.0308252Z 2025-07-17T08:26:59.0309726Z functorch/test_aotdispatch 4/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_4.6_39fda6e749b6c933_.log 2025-07-17T08:26:59.0646108Z Running 346 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_False_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_mutation_on_grad_out, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_pass_autocast_off, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_buffer_copied_in_graph_with_different_shapes, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dupe_arg_returned_as_output, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dynamic_shape_output_not_in_bw_graph, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_inplace_requires_grad_true, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_aliases_bases_out_of_order, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_false_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_requires_grad_detach, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_simple_with_none_and_nontensor, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_storage_resize_up, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_output_view_simple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_dupe, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_requires_grad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_requires_grad_fake, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_module, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_nonidempotent_amp, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_and_returned, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_returned_multiple_times, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_multiple_inputs_get_correct_one, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_dict, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_saved_tensors_hooks_mutations_raise, 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test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_custom_tensor_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dupe_arg, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_inner_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_aliased_with_mutation_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_data_and_metadata_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_bases_out_of_order, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_and_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_return, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_simple_with_none_and_nontensor, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_storage_resize_down, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_requires_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_requires_grad_fake, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_inplace_view_and_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_multiple_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_no_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_outputs_are_aliased, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_single_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_some_output_requires_grad_input_doesnt, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_synthetic_base_base_attribute_is_none, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_autocast_disable_guard, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_mutation_forward_inputs_create_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dupe_arg, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_data_and_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_aliases_other_input2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_invalid_dupe_left_bias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_inplace_view_and_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_mutation_linear, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_op_depending_on_symint, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__and_data_mutation_bad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__steals_view_chain, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_view_and_inplace_view 2025-07-17T08:26:59.0978960Z 2025-07-17T08:26:59.8801983Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:26:59.8804913Z import pkg_resources 2025-07-17T08:27:00.0229394Z Running dynamo/cpython/3_13/test_cmath 1/1 ... [2025-07-17 08:27:00.022335] 2025-07-17T08:27:00.0230339Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:27:00.0233473Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_cmath.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:27:00.022824] 2025-07-17T08:27:02.4219775Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:27:02.4222839Z import pkg_resources 2025-07-17T08:27:02.5513784Z Running dynamo/cpython/3_13/test_math 1/1 ... [2025-07-17 08:27:02.550977] 2025-07-17T08:27:02.5514580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:27:02.5517483Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_math.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:27:02.551399] 2025-07-17T08:27:04.0943320Z 2025-07-17T08:27:04.0945188Z dynamo/cpython/3_13/test_cmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_cmath_1.1_46750660e6b387e2_.log 2025-07-17T08:27:04.0964974Z Running 33 items in this shard: test/dynamo/cpython/3_13/test_cmath.py::CMathTests::testAtanSign, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::testAtanhSign, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::testTanhSign, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_abs, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_abs_overflows, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_cmath_matches_math, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_constants, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_infinity_and_nan_constants, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_input_type, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_isfinite, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_isinf, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_isnan, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_phase, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_polar, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_polar_errno, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_rect, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_specific_values, test/dynamo/cpython/3_13/test_cmath.py::CMathTests::test_user_object, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_asymmetry, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_complex_near_zero, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_complex_special, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_complex_values, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_decimals, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_eight_decimal_places, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_fractions, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_identical, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_identical_infinite, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_inf_ninf_nan, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_integers, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_near_zero, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_negative_tolerances, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_reject_complex_tolerances, test/dynamo/cpython/3_13/test_cmath.py::IsCloseTests::test_zero_tolerance 2025-07-17T08:27:04.0983704Z 2025-07-17T08:27:07.4179681Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:27:07.4181231Z import pkg_resources 2025-07-17T08:27:07.5470651Z Running dynamo/cpython/3_13/test_operator 1/1 ... [2025-07-17 08:27:07.546621] 2025-07-17T08:27:07.5471409Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:27:07.5473512Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_operator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:27:07.547029] 2025-07-17T08:27:11.2676613Z 2025-07-17T08:27:11.2678257Z dynamo/cpython/3_13/test_operator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_operator_1.1_29e2e0f9682ec445_.log 2025-07-17T08:27:11.2719097Z Running 106 items in this shard: test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test___all__, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_abs, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_add, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_attrgetter, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_attrgetter_signature, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_bitwise_and, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_bitwise_or, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_bitwise_xor, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_call, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_concat, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_contains, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_countOf, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_delitem, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_dunder_is_original, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_eq, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_floordiv, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_ge, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_getitem, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_gt, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_iconcat_without_getitem, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_index, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_indexOf, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_inplace, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_invert, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_is, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_is_not, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_itemgetter, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_itemgetter_signature, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_le, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_length_hint, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_lshift, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_lt, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_matmul, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_methodcaller, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_methodcaller_signature, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_mod, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_mul, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_ne, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_neg, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_not_, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_pos, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_pow, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_rshift, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_setitem, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_sub, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_truediv, test/dynamo/cpython/3_13/test_operator.py::PyOperatorTestCase::test_truth, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test___all__, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_abs, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_add, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_attrgetter, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_attrgetter_signature, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_bitwise_and, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_bitwise_or, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_bitwise_xor, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_call, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_concat, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_contains, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_countOf, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_delitem, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_dunder_is_original, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_eq, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_floordiv, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_ge, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_getitem, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_gt, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_iconcat_without_getitem, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_index, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_indexOf, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_inplace, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_invert, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_is, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_is_not, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_itemgetter, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_itemgetter_signature, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_le, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_length_hint, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_lshift, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_lt, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_matmul, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_methodcaller, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_methodcaller_signature, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_mod, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_mul, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_ne, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_neg, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_not_, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_pos, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_pow, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_rshift, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_setitem, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_sub, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_truediv, test/dynamo/cpython/3_13/test_operator.py::COperatorTestCase::test_truth, test/dynamo/cpython/3_13/test_operator.py::PyPyOperatorPickleTestCase::test_attrgetter, test/dynamo/cpython/3_13/test_operator.py::PyPyOperatorPickleTestCase::test_itemgetter, test/dynamo/cpython/3_13/test_operator.py::PyPyOperatorPickleTestCase::test_methodcaller, test/dynamo/cpython/3_13/test_operator.py::PyCOperatorPickleTestCase::test_attrgetter, test/dynamo/cpython/3_13/test_operator.py::PyCOperatorPickleTestCase::test_itemgetter, test/dynamo/cpython/3_13/test_operator.py::PyCOperatorPickleTestCase::test_methodcaller, test/dynamo/cpython/3_13/test_operator.py::CPyOperatorPickleTestCase::test_attrgetter, test/dynamo/cpython/3_13/test_operator.py::CPyOperatorPickleTestCase::test_itemgetter, test/dynamo/cpython/3_13/test_operator.py::CPyOperatorPickleTestCase::test_methodcaller, test/dynamo/cpython/3_13/test_operator.py::CCOperatorPickleTestCase::test_attrgetter, test/dynamo/cpython/3_13/test_operator.py::CCOperatorPickleTestCase::test_itemgetter, test/dynamo/cpython/3_13/test_operator.py::CCOperatorPickleTestCase::test_methodcaller 2025-07-17T08:27:11.2755249Z 2025-07-17T08:27:14.4322326Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:27:14.4325203Z import pkg_resources 2025-07-17T08:27:14.5616397Z Running dynamo/cpython/3_13/test_userdict 1/1 ... [2025-07-17 08:27:14.561211] 2025-07-17T08:27:14.5617318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:27:14.5619437Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_userdict.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:27:14.561637] 2025-07-17T08:27:17.9309750Z 2025-07-17T08:27:17.9311118Z dynamo/cpython/3_13/test_userdict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_userdict_1.1_a44dd8461ef1cd7d_.log 2025-07-17T08:27:17.9325077Z Running 25 items in this shard: test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_all, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_bool, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_clear, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_constructor, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_contains, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_copy, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_eq, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_fromkeys, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_get, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_getitem, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_init, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_items, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_keys, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_len, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_missing, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_mutatingiteration, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_pop, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_popitem, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_read, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_repr, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_repr_deep, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_setdefault, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_update, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_values, test/dynamo/cpython/3_13/test_userdict.py::UserDictTest::test_write 2025-07-17T08:27:17.9336531Z 2025-07-17T08:27:21.3885354Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:27:21.3888802Z import pkg_resources 2025-07-17T08:27:21.5173354Z Running dynamo/cpython/3_13/test_set 1/1 ... [2025-07-17 08:27:21.516875] 2025-07-17T08:27:21.5174893Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:27:21.5181791Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_set.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:27:21.517305] 2025-07-17T08:27:29.0566700Z 2025-07-17T08:27:29.0568103Z dynamo/cpython/3_13/test_math 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_math_1.1_6fe2365e4840418b_.log 2025-07-17T08:27:29.0592737Z Running 84 items in this shard: test/dynamo/cpython/3_13/test_math.py::MathTests::testAcos, test/dynamo/cpython/3_13/test_math.py::MathTests::testAcosh, test/dynamo/cpython/3_13/test_math.py::MathTests::testAsin, test/dynamo/cpython/3_13/test_math.py::MathTests::testAsinh, test/dynamo/cpython/3_13/test_math.py::MathTests::testAtan, test/dynamo/cpython/3_13/test_math.py::MathTests::testAtan2, test/dynamo/cpython/3_13/test_math.py::MathTests::testAtanh, test/dynamo/cpython/3_13/test_math.py::MathTests::testCbrt, test/dynamo/cpython/3_13/test_math.py::MathTests::testCeil, test/dynamo/cpython/3_13/test_math.py::MathTests::testComb, test/dynamo/cpython/3_13/test_math.py::MathTests::testConstants, test/dynamo/cpython/3_13/test_math.py::MathTests::testCopysign, test/dynamo/cpython/3_13/test_math.py::MathTests::testCos, test/dynamo/cpython/3_13/test_math.py::MathTests::testCosh, test/dynamo/cpython/3_13/test_math.py::MathTests::testDegrees, test/dynamo/cpython/3_13/test_math.py::MathTests::testDist, test/dynamo/cpython/3_13/test_math.py::MathTests::testExp, test/dynamo/cpython/3_13/test_math.py::MathTests::testExp2, test/dynamo/cpython/3_13/test_math.py::MathTests::testFabs, test/dynamo/cpython/3_13/test_math.py::MathTests::testFactorial, test/dynamo/cpython/3_13/test_math.py::MathTests::testFactorialHugeInputs, test/dynamo/cpython/3_13/test_math.py::MathTests::testFactorialNonIntegers, test/dynamo/cpython/3_13/test_math.py::MathTests::testFloor, test/dynamo/cpython/3_13/test_math.py::MathTests::testFmod, test/dynamo/cpython/3_13/test_math.py::MathTests::testFrexp, test/dynamo/cpython/3_13/test_math.py::MathTests::testFsum, test/dynamo/cpython/3_13/test_math.py::MathTests::testGcd, test/dynamo/cpython/3_13/test_math.py::MathTests::testHypot, test/dynamo/cpython/3_13/test_math.py::MathTests::testHypotAccuracy, test/dynamo/cpython/3_13/test_math.py::MathTests::testIsfinite, test/dynamo/cpython/3_13/test_math.py::MathTests::testIsinf, test/dynamo/cpython/3_13/test_math.py::MathTests::testIsnan, test/dynamo/cpython/3_13/test_math.py::MathTests::testIsqrt, test/dynamo/cpython/3_13/test_math.py::MathTests::testLdexp, test/dynamo/cpython/3_13/test_math.py::MathTests::testLog, test/dynamo/cpython/3_13/test_math.py::MathTests::testLog10, test/dynamo/cpython/3_13/test_math.py::MathTests::testLog1p, test/dynamo/cpython/3_13/test_math.py::MathTests::testLog2, test/dynamo/cpython/3_13/test_math.py::MathTests::testLog2Exact, test/dynamo/cpython/3_13/test_math.py::MathTests::testModf, test/dynamo/cpython/3_13/test_math.py::MathTests::testPerm, test/dynamo/cpython/3_13/test_math.py::MathTests::testPow, test/dynamo/cpython/3_13/test_math.py::MathTests::testRadians, test/dynamo/cpython/3_13/test_math.py::MathTests::testRemainder, test/dynamo/cpython/3_13/test_math.py::MathTests::testSin, test/dynamo/cpython/3_13/test_math.py::MathTests::testSinh, test/dynamo/cpython/3_13/test_math.py::MathTests::testSqrt, test/dynamo/cpython/3_13/test_math.py::MathTests::testSumProd, test/dynamo/cpython/3_13/test_math.py::MathTests::testTan, test/dynamo/cpython/3_13/test_math.py::MathTests::testTanh, test/dynamo/cpython/3_13/test_math.py::MathTests::testTanhSign, test/dynamo/cpython/3_13/test_math.py::MathTests::test_exceptions, test/dynamo/cpython/3_13/test_math.py::MathTests::test_inf_constant, test/dynamo/cpython/3_13/test_math.py::MathTests::test_input_exceptions, test/dynamo/cpython/3_13/test_math.py::MathTests::test_issue39871, test/dynamo/cpython/3_13/test_math.py::MathTests::test_lcm, test/dynamo/cpython/3_13/test_math.py::MathTests::test_math_dist_leak, test/dynamo/cpython/3_13/test_math.py::MathTests::test_mtestfile, test/dynamo/cpython/3_13/test_math.py::MathTests::test_nan_constant, test/dynamo/cpython/3_13/test_math.py::MathTests::test_nextafter, test/dynamo/cpython/3_13/test_math.py::MathTests::test_prod, test/dynamo/cpython/3_13/test_math.py::MathTests::test_sumprod_accuracy, test/dynamo/cpython/3_13/test_math.py::MathTests::test_sumprod_extended_precision_accuracy, test/dynamo/cpython/3_13/test_math.py::MathTests::test_sumprod_stress, test/dynamo/cpython/3_13/test_math.py::MathTests::test_testfile, test/dynamo/cpython/3_13/test_math.py::MathTests::test_trunc, test/dynamo/cpython/3_13/test_math.py::MathTests::test_ulp, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_asymmetry, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_decimals, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_eight_decimal_places, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_fractions, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_identical, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_identical_infinite, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_inf_ninf_nan, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_integers, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_near_zero, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_negative_tolerances, test/dynamo/cpython/3_13/test_math.py::IsCloseTests::test_zero_tolerance, test/dynamo/cpython/3_13/test_math.py::FMATests::test_fma_infinities, test/dynamo/cpython/3_13/test_math.py::FMATests::test_fma_nan_results, test/dynamo/cpython/3_13/test_math.py::FMATests::test_fma_overflow, test/dynamo/cpython/3_13/test_math.py::FMATests::test_fma_single_round, test/dynamo/cpython/3_13/test_math.py::FMATests::test_fma_zero_result, test/dynamo/cpython/3_13/test_math.py::FMATests::test_random 2025-07-17T08:27:29.0615473Z 2025-07-17T08:27:31.6463811Z 2025-07-17T08:27:31.6465521Z dynamo/cpython/3_13/test_set 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_set_1.1_919b45218507045b_.log 2025-07-17T08:27:31.6688488Z Running 623 items in this shard: test/dynamo/cpython/3_13/test_set.py::TestSet::test_add, test/dynamo/cpython/3_13/test_set.py::TestSet::test_and, test/dynamo/cpython/3_13/test_set.py::TestSet::test_badcmp, test/dynamo/cpython/3_13/test_set.py::TestSet::test_clear, test/dynamo/cpython/3_13/test_set.py::TestSet::test_constructor_identity, test/dynamo/cpython/3_13/test_set.py::TestSet::test_container_iterator, test/dynamo/cpython/3_13/test_set.py::TestSet::test_contains, test/dynamo/cpython/3_13/test_set.py::TestSet::test_copy, test/dynamo/cpython/3_13/test_set.py::TestSet::test_cyclical_repr, test/dynamo/cpython/3_13/test_set.py::TestSet::test_deepcopy, test/dynamo/cpython/3_13/test_set.py::TestSet::test_difference, test/dynamo/cpython/3_13/test_set.py::TestSet::test_difference_update, test/dynamo/cpython/3_13/test_set.py::TestSet::test_discard, test/dynamo/cpython/3_13/test_set.py::TestSet::test_do_not_rehash_dict_keys, test/dynamo/cpython/3_13/test_set.py::TestSet::test_equality, test/dynamo/cpython/3_13/test_set.py::TestSet::test_free_after_iterating, test/dynamo/cpython/3_13/test_set.py::TestSet::test_gc, test/dynamo/cpython/3_13/test_set.py::TestSet::test_hash, test/dynamo/cpython/3_13/test_set.py::TestSet::test_iand, test/dynamo/cpython/3_13/test_set.py::TestSet::test_init, test/dynamo/cpython/3_13/test_set.py::TestSet::test_inplace_on_self, test/dynamo/cpython/3_13/test_set.py::TestSet::test_intersection, test/dynamo/cpython/3_13/test_set.py::TestSet::test_intersection_update, test/dynamo/cpython/3_13/test_set.py::TestSet::test_ior, test/dynamo/cpython/3_13/test_set.py::TestSet::test_isdisjoint, test/dynamo/cpython/3_13/test_set.py::TestSet::test_isub, test/dynamo/cpython/3_13/test_set.py::TestSet::test_iterator_pickling, test/dynamo/cpython/3_13/test_set.py::TestSet::test_ixor, test/dynamo/cpython/3_13/test_set.py::TestSet::test_len, test/dynamo/cpython/3_13/test_set.py::TestSet::test_new_or_init, test/dynamo/cpython/3_13/test_set.py::TestSet::test_or, test/dynamo/cpython/3_13/test_set.py::TestSet::test_pickling, test/dynamo/cpython/3_13/test_set.py::TestSet::test_pop, test/dynamo/cpython/3_13/test_set.py::TestSet::test_remove, test/dynamo/cpython/3_13/test_set.py::TestSet::test_remove_keyerror_set, test/dynamo/cpython/3_13/test_set.py::TestSet::test_remove_keyerror_unpacking, test/dynamo/cpython/3_13/test_set.py::TestSet::test_rich_compare, test/dynamo/cpython/3_13/test_set.py::TestSet::test_setOfFrozensets, test/dynamo/cpython/3_13/test_set.py::TestSet::test_set_literal, test/dynamo/cpython/3_13/test_set.py::TestSet::test_set_literal_evaluation_order, test/dynamo/cpython/3_13/test_set.py::TestSet::test_set_literal_insertion_order, test/dynamo/cpython/3_13/test_set.py::TestSet::test_sub, test/dynamo/cpython/3_13/test_set.py::TestSet::test_sub_and_super, test/dynamo/cpython/3_13/test_set.py::TestSet::test_subclass_with_custom_hash, test/dynamo/cpython/3_13/test_set.py::TestSet::test_symmetric_difference, test/dynamo/cpython/3_13/test_set.py::TestSet::test_symmetric_difference_update, test/dynamo/cpython/3_13/test_set.py::TestSet::test_union, test/dynamo/cpython/3_13/test_set.py::TestSet::test_uniquification, test/dynamo/cpython/3_13/test_set.py::TestSet::test_update, test/dynamo/cpython/3_13/test_set.py::TestSet::test_weakref, test/dynamo/cpython/3_13/test_set.py::TestSet::test_xor, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_add, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_and, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_badcmp, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_clear, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_constructor_identity, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_container_iterator, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_contains, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_copy, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_cyclical_repr, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_deepcopy, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_difference, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_difference_update, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_discard, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_do_not_rehash_dict_keys, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_equality, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_free_after_iterating, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_gc, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_hash, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_iand, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_init, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_inplace_on_self, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_intersection, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_intersection_update, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_ior, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_isdisjoint, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_isub, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_iterator_pickling, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_ixor, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_keywords_in_subclass, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_len, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_new_or_init, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_or, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_pickling, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_pop, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_remove, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_remove_keyerror_set, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_remove_keyerror_unpacking, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_rich_compare, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_setOfFrozensets, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_set_literal, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_set_literal_evaluation_order, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_set_literal_insertion_order, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_sub, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_sub_and_super, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_subclass_with_custom_hash, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_symmetric_difference, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_symmetric_difference_update, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_union, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_uniquification, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_update, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_weakref, test/dynamo/cpython/3_13/test_set.py::TestSetSubclass::test_xor, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_and, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_badcmp, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_constructor_identity, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_container_iterator, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_contains, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_copy, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_cyclical_repr, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_deepcopy, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_difference, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_do_not_rehash_dict_keys, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_equality, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_free_after_iterating, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_frozen_as_dictkey, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_gc, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_hash, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_hash_caching, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_hash_effectiveness, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_init, test/dynamo/cpython/3_13/test_set.py::TestFrozenSet::test_intersection, 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test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_isub_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_iteration_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_ixor_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_le_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_lt_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_ne_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_or_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_sub_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestBinaryOpsMutating_Subclass_Set::test_xor_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_intersection_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_intersection_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_isdisjoint_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_issubset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_issuperset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_symmetric_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_symmetric_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_union_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Set::test_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_intersection_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_intersection_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_isdisjoint_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_issubset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_issuperset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_symmetric_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_symmetric_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_union_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Subclass::test_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_intersection_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_intersection_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_isdisjoint_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_issubset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_issuperset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_symmetric_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_symmetric_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_union_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Subclass::test_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_intersection_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_intersection_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_isdisjoint_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_issubset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_issuperset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_symmetric_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_symmetric_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_union_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Subclass_Set::test_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_intersection_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_intersection_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_isdisjoint_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_issubset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_issuperset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_symmetric_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_symmetric_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_union_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_Dict::test_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_intersection_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_intersection_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_isdisjoint_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_issubset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_issuperset_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_symmetric_difference_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_symmetric_difference_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_union_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestMethodsMutating_Set_List::test_update_with_mutation, test/dynamo/cpython/3_13/test_set.py::TestGraphs::test_cube, test/dynamo/cpython/3_13/test_set.py::TestGraphs::test_cuboctahedron 2025-07-17T08:27:31.6905385Z 2025-07-17T08:27:32.0753366Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:27:32.0756215Z import pkg_resources 2025-07-17T08:27:32.2046221Z Running dynamo/cpython/3_13/test_iter 1/1 ... [2025-07-17 08:27:32.204189] 2025-07-17T08:27:32.2047180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:27:32.2049217Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_iter.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:27:32.204538] 2025-07-17T08:27:34.8509238Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:27:34.8512092Z import pkg_resources 2025-07-17T08:27:34.9800594Z Running dynamo/cpython/3_13/test_bool 1/1 ... [2025-07-17 08:27:34.979576] 2025-07-17T08:27:34.9801404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:27:34.9804818Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_bool.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:27:34.980040] 2025-07-17T08:27:36.3755339Z 2025-07-17T08:27:36.3756820Z dynamo/cpython/3_13/test_iter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_iter_1.1_ae0516121a231048_.log 2025-07-17T08:27:36.3775238Z Running 57 items in this shard: test/dynamo/cpython/3_13/test_iter.py::TestCase::test_3720, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_builtin_filter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_builtin_list, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_builtin_map, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_builtin_max_min, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_builtin_tuple, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_builtin_zip, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_countOf, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_error_iter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_exception_function, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_exception_locations, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_exception_sequence, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_extending_list_with_iterator_does_not_segfault, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_free_after_iterating, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_in_and_not_in, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_indexOf, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_basic, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_big_range, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_callable, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_class_for, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_class_iter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_dict, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_empty, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_file, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_for_loop, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_function, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_function_concealing_reentrant_exhaustion, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_function_stop, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_idempotency, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_independence, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_neg_setstate, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_overflow, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_range, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_string, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_iter_tuple, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_mutating_seq_class_exhausted_iter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_mutating_seq_class_iter_pickle, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_nested_comprehensions_for, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_nested_comprehensions_iter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_new_style_iter_class, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_reduce_mutating_builtins_iter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_ref_counting_behavior, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_seq_class_for, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_seq_class_iter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_callable, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_dict, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_enumerate, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_list, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_range, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_sequence, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_string, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_tuple, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_sinkstate_yield, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_stop_sequence, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_unicode_join_endcase, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_unpack_iter, test/dynamo/cpython/3_13/test_iter.py::TestCase::test_writelines 2025-07-17T08:27:36.3793383Z 2025-07-17T08:27:38.6507235Z 2025-07-17T08:27:38.6508911Z dynamo/cpython/3_13/test_bool 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_bool_1.1_f829e13aec3800f6_.log 2025-07-17T08:27:38.6518434Z Running 31 items in this shard: test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_blocked, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_bool_called_at_least_once, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_bool_new, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_boolean, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_callable, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_complex, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_contains, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_convert, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_convert_to_bool, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_fileclosed, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_float, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_format, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_from_bytes, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_hasattr, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_int, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_interpreter_convert_to_bool_raises, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_isinstance, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_issubclass, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_keyword_args, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_marshal, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_math, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_operator, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_pickle, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_picklevalues, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_real_and_imag, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_repr, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_sane_len, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_str, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_string, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_subclass, test/dynamo/cpython/3_13/test_bool.py::BoolTest::test_types 2025-07-17T08:27:38.6526924Z 2025-07-17T08:27:39.7112143Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:27:39.7115538Z import pkg_resources 2025-07-17T08:27:39.8794605Z Running dynamo/cpython/3_13/test_sort 1/1 ... [2025-07-17 08:27:39.879082] 2025-07-17T08:27:39.8795134Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:27:39.8797324Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_sort.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:27:39.879455] 2025-07-17T08:27:42.0782363Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:27:42.0785111Z import pkg_resources 2025-07-17T08:27:42.2072369Z Running dynamo/cpython/3_13/test_float 1/1 ... [2025-07-17 08:27:42.206784] 2025-07-17T08:27:42.2073303Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:27:42.2076395Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_float.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:27:42.207198] 2025-07-17T08:27:43.5504038Z 2025-07-17T08:27:43.5505372Z dynamo/cpython/3_13/test_sort 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_sort_1.1_e3b8dcf323df37ec_.log 2025-07-17T08:27:43.5519707Z Running 21 items in this shard: test/dynamo/cpython/3_13/test_sort.py::TestBase::testStressfully, test/dynamo/cpython/3_13/test_sort.py::TestBase::test_small_stability, test/dynamo/cpython/3_13/test_sort.py::TestBugs::test_bug453523, test/dynamo/cpython/3_13/test_sort.py::TestBugs::test_undetected_mutation, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_baddecorator, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_decorated, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_key_with_exception, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_key_with_mutating_del, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_key_with_mutating_del_and_exception, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_key_with_mutation, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_reverse, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_reverse_stability, test/dynamo/cpython/3_13/test_sort.py::TestDecorateSortUndecorate::test_stability, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_none_in_tuples, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_not_all_tuples, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_safe_object_compare, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_unsafe_float_compare, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_unsafe_latin_compare, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_unsafe_long_compare, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_unsafe_object_compare, test/dynamo/cpython/3_13/test_sort.py::TestOptimizedCompares::test_unsafe_tuple_compare 2025-07-17T08:27:43.5531638Z 2025-07-17T08:27:45.8775465Z 2025-07-17T08:27:45.8777071Z dynamo/cpython/3_13/test_float 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_float_1.1_9f5c88df709fe695_.log 2025-07-17T08:27:45.8794343Z Running 50 items in this shard: test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_error_message, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float_ceil, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float_containment, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float_floor, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float_memoryview, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float_mod, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float_pow, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_float_with_comma, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_floatasratio, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_floatconversion, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_hash, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_hash_nan, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_is_integer, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_keyword_args, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_keywords_in_subclass, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_noargs, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_non_numeric_input_types, test/dynamo/cpython/3_13/test_float.py::GeneralFloatCases::test_underscores, test/dynamo/cpython/3_13/test_float.py::FormatFunctionsTestCase::test_getformat, test/dynamo/cpython/3_13/test_float.py::IEEEFormatTestCase::test_double_specials_do_unpack, test/dynamo/cpython/3_13/test_float.py::IEEEFormatTestCase::test_float_specials_do_unpack, test/dynamo/cpython/3_13/test_float.py::IEEEFormatTestCase::test_serialized_float_rounding, test/dynamo/cpython/3_13/test_float.py::FormatTestCase::test_format, test/dynamo/cpython/3_13/test_float.py::FormatTestCase::test_format_testfile, test/dynamo/cpython/3_13/test_float.py::FormatTestCase::test_issue35560, test/dynamo/cpython/3_13/test_float.py::FormatTestCase::test_issue5864, test/dynamo/cpython/3_13/test_float.py::ReprTestCase::test_repr, test/dynamo/cpython/3_13/test_float.py::ReprTestCase::test_short_repr, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_None_ndigits, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_format_specials, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_inf_nan, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_inf_nan_ndigits, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_large_n, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_matches_float_format, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_overflow, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_previous_round_bugs, test/dynamo/cpython/3_13/test_float.py::RoundTestCase::test_small_n, test/dynamo/cpython/3_13/test_float.py::InfNanTest::test_inf_as_str, test/dynamo/cpython/3_13/test_float.py::InfNanTest::test_inf_from_str, test/dynamo/cpython/3_13/test_float.py::InfNanTest::test_inf_signs, test/dynamo/cpython/3_13/test_float.py::InfNanTest::test_nan_as_str, test/dynamo/cpython/3_13/test_float.py::InfNanTest::test_nan_from_str, test/dynamo/cpython/3_13/test_float.py::InfNanTest::test_nan_signs, test/dynamo/cpython/3_13/test_float.py::HexFloatTestCase::test_ends, test/dynamo/cpython/3_13/test_float.py::HexFloatTestCase::test_from_hex, test/dynamo/cpython/3_13/test_float.py::HexFloatTestCase::test_invalid_inputs, test/dynamo/cpython/3_13/test_float.py::HexFloatTestCase::test_roundtrip, test/dynamo/cpython/3_13/test_float.py::HexFloatTestCase::test_subclass, test/dynamo/cpython/3_13/test_float.py::HexFloatTestCase::test_whitespace 2025-07-17T08:27:45.8810464Z 2025-07-17T08:27:46.9387008Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:27:46.9389834Z import pkg_resources 2025-07-17T08:27:47.0990163Z Running dynamo/cpython/3_13/test_dict 1/1 ... [2025-07-17 08:27:47.098558] 2025-07-17T08:27:47.0990971Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:27:47.0996104Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_dict.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:27:47.099194] 2025-07-17T08:27:49.2828800Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:27:49.2831641Z import pkg_resources 2025-07-17T08:27:49.4126731Z Running dynamo/cpython/3_13/test_complex 1/1 ... [2025-07-17 08:27:49.412276] 2025-07-17T08:27:49.4127309Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:27:49.4129796Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_complex.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:27:49.412677] 2025-07-17T08:27:52.9829565Z 2025-07-17T08:27:52.9831543Z dynamo/cpython/3_13/test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_complex_1.1_29eb78e191191d9d_.log 2025-07-17T08:27:52.9849940Z Running 35 items in this shard: test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test___complex__, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_abs, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_add, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_boolcontext, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_conjugate, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_constructor, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_constructor_from_string, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_constructor_negative_nans_from_string, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_constructor_special_numbers, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_divmod, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_divmod_zero_division, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_floordiv, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_floordiv_zero_division, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_format, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_getnewargs, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_hash, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_mod, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_mod_zero_division, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_mul, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_neg, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_negated_imaginary_literal, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_negative_zero_repr_str, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_overflow, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_plus_minus_0j, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_pos, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_pow, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_pow_with_small_integer_exponents, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_repr_roundtrip, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_repr_str, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_richcompare, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_richcompare_boundaries, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_sub, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_truediv, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_truediv_zero_division, test/dynamo/cpython/3_13/test_complex.py::ComplexTest::test_underscores 2025-07-17T08:27:52.9867377Z 2025-07-17T08:27:56.3585640Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:27:56.3589338Z import pkg_resources 2025-07-17T08:27:56.5518901Z Running dynamo/cpython/3_13/test_tuple 1/1 ... [2025-07-17 08:27:56.550853] 2025-07-17T08:27:56.5520023Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:27:56.5522792Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_tuple.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:27:56.551340] 2025-07-17T08:28:07.1006658Z 2025-07-17T08:28:07.1008005Z dynamo/cpython/3_13/test_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_dict_1.1_7c734771e433b0be_.log 2025-07-17T08:28:07.1057712Z Running 112 items in this shard: test/dynamo/cpython/3_13/test_dict.py::DictTest::test_bad_key, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_bool, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_clear, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_constructor, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_container_iterator, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_contains, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_copy, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_copy_fuzz, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_copy_maintains_tracking, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_copy_noncompact, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dict_contain_use_after_free, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dict_copy_order, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dict_items_result_gc, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dict_items_result_gc_reversed, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dictitems_contains_use_after_free, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dictview_mixed_set_operations, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dictview_set_operations_on_items, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_dictview_set_operations_on_keys, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_empty_presized_dict_in_freelist, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_eq, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_equal_operator_modifying_operand, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_errors_in_view_containment_check, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_free_after_iterating, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_fromkeys, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_fromkeys_operator_modifying_dict_operand, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_fromkeys_operator_modifying_set_operand, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_get, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_getitem, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_init_use_after_free, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_instance_dict_getattr_str_subclass, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_invalid_keyword_arguments, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_itemiterator_pickling, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_items, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_items_symmetric_difference, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_iterator_pickling, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_keys, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_keys_contained, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_len, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_literal_constructor, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_merge_and_mutate, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_merge_operator, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_missing, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_mutating_iteration, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_mutating_iteration_delete, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_mutating_iteration_delete_over_items, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_mutating_iteration_delete_over_values, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_mutating_lookup, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_object_set_item_single_instance_non_str_key, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_oob_indexing_dictiter_iternextitem, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_pop, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_popitem, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_reentrant_insertion, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_repr, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_repr_deep, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_resize1, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_resize2, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_reverse_iterator_for_empty_dict, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_reverse_iterator_for_shared_shared_dicts, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_reversed, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_reverseitemiterator_pickling, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_reverseiterator_pickling, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_reversevaluesiterator_pickling, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_setdefault, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_setdefault_atomic, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_setitem_atomic_at_resize, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_splittable_del, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_splittable_pop, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_splittable_pop_pending, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_splittable_popitem, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_splittable_setdefault, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_splittable_to_generic_combinedtable, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_splittable_update, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_store_evilattr, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_str_nonstr, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_string_keys_can_track_values, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_track_dynamic, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_track_literals, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_track_subtypes, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_tuple_keyerror, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_update, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_values, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_valuesiterator_pickling, test/dynamo/cpython/3_13/test_dict.py::DictTest::test_views_mapping, test/dynamo/cpython/3_13/test_dict.py::CAPITest::test_getitem_knownhash, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_bool, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_constructor, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_get, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_getitem, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_items, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_keys, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_len, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_pop, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_popitem, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_read, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_setdefault, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_update, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_values, test/dynamo/cpython/3_13/test_dict.py::GeneralMappingTests::test_write, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_bool, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_constructor, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_get, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_getitem, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_items, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_keys, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_len, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_pop, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_popitem, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_read, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_setdefault, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_update, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_values, test/dynamo/cpython/3_13/test_dict.py::SubclassMappingTests::test_write 2025-07-17T08:28:07.1106179Z 2025-07-17T08:28:10.4030246Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:28:10.4033209Z import pkg_resources 2025-07-17T08:28:10.5312870Z Running test_package 1/1 ... [2025-07-17 08:28:10.530882] 2025-07-17T08:28:10.5313554Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:28:10.5316174Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:28:10.531276] 2025-07-17T08:28:16.2575598Z 2025-07-17T08:28:16.2576877Z test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_package_1.1_04fc87b650666ea7_.log 2025-07-17T08:28:16.2646932Z Running 137 items in this shard: test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestDependencyAPI::test_allow_empty_with_error, test/test_package.py::TestDependencyAPI::test_broken_dependency, test/test_package.py::TestDependencyAPI::test_deny, test/test_package.py::TestDependencyAPI::test_deny_glob, test/test_package.py::TestDependencyAPI::test_extern, test/test_package.py::TestDependencyAPI::test_extern_glob, test/test_package.py::TestDependencyAPI::test_extern_glob_allow_empty, test/test_package.py::TestDependencyAPI::test_externing_c_extension, test/test_package.py::TestDependencyAPI::test_implicit_intern, test/test_package.py::TestDependencyAPI::test_intern_error, test/test_package.py::TestDependencyAPI::test_invalid_import, test/test_package.py::TestDependencyAPI::test_mock, test/test_package.py::TestDependencyAPI::test_mock_glob, test/test_package.py::TestDependencyAPI::test_mock_glob_allow_empty, test/test_package.py::TestDependencyAPI::test_pickle_mocked, test/test_package.py::TestDependencyAPI::test_pickle_mocked_all, test/test_package.py::TestDependencyAPI::test_repackage_mocked_module, test/test_package.py::TestDependencyHooks::test_extern_and_mock_hook, test/test_package.py::TestDependencyHooks::test_multiple_extern_hooks, test/test_package.py::TestDependencyHooks::test_multiple_mock_hooks, test/test_package.py::TestDependencyHooks::test_remove_hooks, test/test_package.py::TestDependencyHooks::test_single_hook, test/test_package.py::TestDiGraph::test_all_paths, test/test_package.py::TestDiGraph::test_contains, test/test_package.py::TestDiGraph::test_contains_non_hashable, test/test_package.py::TestDiGraph::test_edges, test/test_package.py::TestDiGraph::test_forward_closure, test/test_package.py::TestDiGraph::test_iter, test/test_package.py::TestDiGraph::test_node_attr_update, test/test_package.py::TestDiGraph::test_node_attrs, test/test_package.py::TestDiGraph::test_predecessor_not_in_graph, test/test_package.py::TestDiGraph::test_predecessors, test/test_package.py::TestDiGraph::test_successor_not_in_graph, test/test_package.py::TestDiGraph::test_successors, test/test_package.py::DirectoryReaderTest::test_importer_access, test/test_package.py::DirectoryReaderTest::test_loading_has_record, test/test_package.py::DirectoryReaderTest::test_loading_module, test/test_package.py::DirectoryReaderTest::test_loading_pickle, test/test_package.py::DirectoryReaderTest::test_package_resource_access, test/test_package.py::DirectoryReaderTest::test_resource_access_by_path, test/test_package.py::DirectoryReaderTest::test_resource_reader, test/test_package.py::DirectoryReaderTest::test_scriptobject_failure_message, test/test_package.py::TestGlobGroup::test_exclude, test/test_package.py::TestGlobGroup::test_exclude_from_all, test/test_package.py::TestGlobGroup::test_invalid_raw, test/test_package.py::TestGlobGroup::test_list_include_exclude, test/test_package.py::TestGlobGroup::test_one_star, test/test_package.py::TestGlobGroup::test_one_star_middle, test/test_package.py::TestGlobGroup::test_one_star_multiple_in_component, test/test_package.py::TestGlobGroup::test_one_star_partial, test/test_package.py::TestGlobGroup::test_one_star_partial_extension, test/test_package.py::TestGlobGroup::test_raw_two_star, test/test_package.py::TestGlobGroup::test_two_star, test/test_package.py::TestGlobGroup::test_two_star_end, test/test_package.py::TestGlobGroup::test_two_star_middle, test/test_package.py::TestGlobGroup::test_two_star_multiple, test/test_package.py::TestImporter::test_ordered_importer_basic, test/test_package.py::TestImporter::test_ordered_importer_whichmodule, test/test_package.py::TestImporter::test_package_importer_whichmodule_no_dunder_module, test/test_package.py::TestImporter::test_single_ordered_importer, test/test_package.py::TestImporter::test_sys_importer, test/test_package.py::TestImporter::test_sys_importer_roundtrip, test/test_package.py::TestLoadBCPackages::test_load_bc_packages_fx_module, test/test_package.py::TestLoadBCPackages::test_load_bc_packages_nn_module, test/test_package.py::TestLoadBCPackages::test_load_bc_packages_torchscript_module, test/test_package.py::TestMangling::test_demangle_base, test/test_package.py::TestMangling::test_demangler_multiple_manglers, test/test_package.py::TestMangling::test_is_mangled, test/test_package.py::TestMangling::test_mangle_empty_errors, test/test_package.py::TestMangling::test_mangle_prefix, test/test_package.py::TestMangling::test_mangler_is_consistent, test/test_package.py::TestMangling::test_package_mangler, test/test_package.py::TestMangling::test_roundtrip_mangling, test/test_package.py::TestMangling::test_unique_manglers, test/test_package.py::TestMangling::test_unique_module_names, test/test_package.py::TestMisc::test_dunder_package_present, test/test_package.py::TestMisc::test_dunder_package_works_from_package, test/test_package.py::TestMisc::test_exporter_content_lists, test/test_package.py::TestMisc::test_file_structure, test/test_package.py::TestMisc::test_file_structure_has_file, test/test_package.py::TestMisc::test_inspect_class, test/test_package.py::TestMisc::test_is_from_package, test/test_package.py::TestMisc::test_load_python_version_from_package, test/test_package.py::TestMisc::test_loaders_that_remap_files_work_ok, test/test_package.py::TestMisc::test_python_version, test/test_package.py::TestMisc::test_std_lib_sys_hackery_checks, test/test_package.py::ModelTest::test_model_save, test/test_package.py::ModelTest::test_resnet, test/test_package.py::ModelTest::test_script_resnet, test/test_package.py::TestPackageFX::test_package_fx_custom_tracer, test/test_package.py::TestPackageFX::test_package_fx_package, test/test_package.py::TestPackageFX::test_package_fx_simple, test/test_package.py::TestPackageFX::test_package_fx_with_imports, test/test_package.py::TestPackageFX::test_package_fx_wrap, test/test_package.py::TestPackageFX::test_package_gm_preserve_stack_trace, test/test_package.py::TestPackageFX::test_package_then_fx, test/test_package.py::TestPackageScript::test_different_package_interface, test/test_package.py::TestPackageScript::test_different_package_script_class, test/test_package.py::TestPackageScript::test_load_shared_scriptmodules, test/test_package.py::TestPackageScript::test_load_shared_tensors, test/test_package.py::TestPackageScript::test_load_shared_tensors_repackaged, test/test_package.py::TestPackageScript::test_mixing_packaged_and_inline_modules, test/test_package.py::TestPackageScript::test_mixing_packaged_and_inline_modules_shared_code, test/test_package.py::TestPackageScript::test_package_interface, test/test_package.py::TestPackageScript::test_package_script_class, test/test_package.py::TestPackageScript::test_package_script_class_referencing_self, test/test_package.py::TestPackageScript::test_save_eager_mods_sharing_scriptmodule, test/test_package.py::TestPackageScript::test_save_independent_scriptmodules, test/test_package.py::TestPackageScript::test_save_repeat_scriptmodules, test/test_package.py::TestPackageScript::test_save_scriptmodule, test/test_package.py::TestPackageScript::test_save_scriptmodule_file, test/test_package.py::TestPackageScript::test_save_scriptmodule_only_necessary_code, test/test_package.py::TestPackageScript::test_save_scriptmodule_with_submods, test/test_package.py::TestPackageScript::test_save_scriptmodules_in_container, test/test_package.py::TestPackageScript::test_save_scriptmodules_submod_redefinition, test/test_package.py::TestPackageScript::test_save_shared_tensors, test/test_package.py::TestPackageScript::test_saving_and_scripting_packaged_mod, test/test_package.py::TestPackageScript::test_scriptmodules_repeat_save, test/test_package.py::TestPackageScript::test_tensor_sharing_pickle, test/test_package.py::TestRepackage::test_repackage_import_indirectly_via_parent_module, test/test_package.py::TestResources::test_importer_access, test/test_package.py::TestResources::test_package_resource_access, test/test_package.py::TestResources::test_resource_access_by_path, test/test_package.py::TestResources::test_resource_reader, test/test_package.py::TestSaveLoad::test_bad_dunder_imports, test/test_package.py::TestSaveLoad::test_dunder_imports, test/test_package.py::TestSaveLoad::test_exporting_mismatched_code, test/test_package.py::TestSaveLoad::test_pickle, test/test_package.py::TestSaveLoad::test_pickle_long_name_with_protocol_4, test/test_package.py::TestSaveLoad::test_save_imported_module, test/test_package.py::TestSaveLoad::test_save_imported_module_using_package_importer, test/test_package.py::TestSaveLoad::test_save_load_fp8, test/test_package.py::TestSaveLoad::test_save_module, test/test_package.py::TestSaveLoad::test_save_module_binary, test/test_package.py::TestSaveLoad::test_saving_source, test/test_package.py::TestSaveLoad::test_saving_string 2025-07-17T08:28:16.2714017Z 2025-07-17T08:28:20.0437435Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:28:20.0440462Z import pkg_resources 2025-07-17T08:28:20.2149300Z Running test_decomp 1/1 ... [2025-07-17 08:28:20.214568] 2025-07-17T08:28:20.2149738Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:28:20.2153274Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:28:20.214947] 2025-07-17T08:28:31.1733473Z 2025-07-17T08:28:31.1735337Z dynamo/cpython/3_13/test_tuple 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_tuple_1.1_7e2066851a6a7149_.log 2025-07-17T08:28:31.1760507Z Running 36 items in this shard: test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_addmul, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_bigrepeat, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_bug7466, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_constructors, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_contains, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_contains_fake, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_contains_order, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_count, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_free_after_iterating, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_getitem, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_getitem_error, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_getitemoverwriteiter, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_getslice, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_hash_exact, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_hash_optional, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_iadd, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_imul, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_index, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_iterator_pickle, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_keyword_args, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_keywords_in_subclass, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_len, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_lexicographic_ordering, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_minmax, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_no_comdat_folding, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_pickle, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_repeat, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_repr, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_repr_large, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_reversed_pickle, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_subscript, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_track_dynamic, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_track_literals, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_track_subtypes, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_truth, test/dynamo/cpython/3_13/test_tuple.py::TupleTest::test_tupleresizebug 2025-07-17T08:28:31.1782582Z 2025-07-17T08:28:34.5387634Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:28:34.5389395Z import pkg_resources 2025-07-17T08:28:34.7147858Z Running test_autoload 1/1 ... [2025-07-17 08:28:34.713732] 2025-07-17T08:28:34.7148689Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:28:34.7150786Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_autoload.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:28:34.714199] 2025-07-17T08:28:38.4851776Z 2025-07-17T08:28:38.4853202Z test_autoload 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autoload_1.1_bd864fd945dbad07_.log 2025-07-17T08:28:38.4855214Z Running 1 items in this shard: test/test_autoload.py::TestDeviceBackendAutoload::test_autoload 2025-07-17T08:28:38.4856254Z 2025-07-17T08:28:41.7542829Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:28:41.7545738Z import pkg_resources 2025-07-17T08:28:41.9322996Z Running export/test_retraceability 1/1 ... [2025-07-17 08:28:41.931764] 2025-07-17T08:28:41.9323842Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:28:41.9329219Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_retraceability.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:28:41.932237] 2025-07-17T08:28:49.4005655Z 2025-07-17T08:28:49.4007755Z export/test_retraceability 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_retraceability_1.1_b371ed8ab619c557_.log 2025-07-17T08:28:49.4009716Z 2025-07-17T08:28:53.0102266Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:28:53.0105307Z import pkg_resources 2025-07-17T08:28:53.1421073Z Running test_utils_config_module 1/1 ... [2025-07-17 08:28:53.141689] 2025-07-17T08:28:53.1421910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:28:53.1425202Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_utils_config_module.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:28:53.142133] 2025-07-17T08:28:56.6119859Z 2025-07-17T08:28:56.6121412Z test_utils_config_module 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_config_module_1.1_6cc0b71e0ee82281_.log 2025-07-17T08:28:56.6136368Z Running 22 items in this shard: test/test_utils_config_module.py::TestConfigModule::test_alias, test/test_utils_config_module.py::TestConfigModule::test_bad_jk_type, test/test_utils_config_module.py::TestConfigModule::test_base_value_loading, test/test_utils_config_module.py::TestConfigModule::test_codegen_config, test/test_utils_config_module.py::TestConfigModule::test_codegen_config_function, test/test_utils_config_module.py::TestConfigModule::test_dict_copy_semantics, test/test_utils_config_module.py::TestConfigModule::test_env_name_semantics, test/test_utils_config_module.py::TestConfigModule::test_env_name_string_semantics, test/test_utils_config_module.py::TestConfigModule::test_get_hash, test/test_utils_config_module.py::TestConfigModule::test_invalid_config_float, test/test_utils_config_module.py::TestConfigModule::test_invalid_config_int, test/test_utils_config_module.py::TestConfigModule::test_make_closur_patcher, test/test_utils_config_module.py::TestConfigModule::test_multi_env, test/test_utils_config_module.py::TestConfigModule::test_none_override_semantics, test/test_utils_config_module.py::TestConfigModule::test_overrides, test/test_utils_config_module.py::TestConfigModule::test_patch, test/test_utils_config_module.py::TestConfigModule::test_reference_is_default, test/test_utils_config_module.py::TestConfigModule::test_reference_semantics, test/test_utils_config_module.py::TestConfigModule::test_save_config, test/test_utils_config_module.py::TestConfigModule::test_save_config_portable, test/test_utils_config_module.py::TestConfigModule::test_type_loading, test/test_utils_config_module.py::TestConfigModule::test_unittest_patch 2025-07-17T08:28:56.6150329Z 2025-07-17T08:28:59.8492317Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:28:59.8494008Z import pkg_resources 2025-07-17T08:28:59.9777491Z Running test_mkl_verbose 1/1 ... [2025-07-17 08:28:59.977368] 2025-07-17T08:28:59.9777992Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:28:59.9780938Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkl_verbose.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:28:59.977782] 2025-07-17T08:29:07.0534071Z 2025-07-17T08:29:07.0535424Z test_mkl_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkl_verbose_1.1_a16aaa67a7023f7b_.log 2025-07-17T08:29:07.0537920Z Running 2 items in this shard: test/test_mkl_verbose.py::TestMKLVerbose::test_verbose_off, test/test_mkl_verbose.py::TestMKLVerbose::test_verbose_on 2025-07-17T08:29:07.0539282Z 2025-07-17T08:29:10.3177580Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:29:10.3180580Z import pkg_resources 2025-07-17T08:29:10.4477032Z Running inductor/test_triton_extension_backend 1/1 ... [2025-07-17 08:29:10.447259] 2025-07-17T08:29:10.4478359Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:29:10.4480557Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:29:10.447646] 2025-07-17T08:29:17.6906899Z 2025-07-17T08:29:17.6908934Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_77ff9f86c04ce601_.log 2025-07-17T08:29:17.6910473Z 2025-07-17T08:29:19.0097691Z Uploading artifacts took 1.32 seconds 2025-07-17T08:29:20.9075656Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:29:20.9078744Z import pkg_resources 2025-07-17T08:29:21.0349103Z Running dynamo/test_deque_reconstruct 1/1 ... [2025-07-17 08:29:21.034026] 2025-07-17T08:29:21.0349921Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:29:21.0351794Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_deque_reconstruct.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:29:21.034414] 2025-07-17T08:29:24.2884374Z 2025-07-17T08:29:24.2885896Z dynamo/test_deque_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deque_reconstruct_1.1_b3916892e268f60d_.log 2025-07-17T08:29:24.2887245Z 2025-07-17T08:29:27.4502919Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:29:27.4505713Z import pkg_resources 2025-07-17T08:29:27.5773517Z Running test_license 1/1 ... [2025-07-17 08:29:27.576878] 2025-07-17T08:29:27.5774277Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:29:27.5777026Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_license.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:29:27.577332] 2025-07-17T08:29:31.4005070Z 2025-07-17T08:29:31.4006814Z test_license 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_license_1.1_a117a69137b004a2_.log 2025-07-17T08:29:31.4008713Z Running 2 items in this shard: test/test_license.py::TestLicense::test_distinfo_license, test/test_license.py::TestLicense::test_license_for_wheel 2025-07-17T08:29:31.4009870Z 2025-07-17T08:29:34.7541616Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:29:34.7544799Z import pkg_resources 2025-07-17T08:29:34.9016868Z Running inductor/test_cpp_wrapper_hipify 1/1 ... [2025-07-17 08:29:34.901256] 2025-07-17T08:29:34.9018040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:29:34.9020645Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpp_wrapper_hipify.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:29:34.901627] 2025-07-17T08:29:38.2587281Z 2025-07-17T08:29:38.2588974Z inductor/test_cpp_wrapper_hipify 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpp_wrapper_hipify_1.1_1b5898ab053c3bad_.log 2025-07-17T08:29:38.2590497Z 2025-07-17T08:29:41.4288486Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:29:41.4291538Z import pkg_resources 2025-07-17T08:29:41.6032752Z Running inductor/test_external_callables 1/1 ... [2025-07-17 08:29:41.602859] 2025-07-17T08:29:41.6033428Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:29:41.6036206Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_external_callables.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:29:41.603254] 2025-07-17T08:29:45.3862367Z 2025-07-17T08:29:45.3863932Z inductor/test_external_callables 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_external_callables_1.1_a27f3b614d0e966e_.log 2025-07-17T08:29:45.3865409Z 2025-07-17T08:29:48.5810239Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:29:48.5813147Z import pkg_resources 2025-07-17T08:29:48.7094373Z Running test_mkldnn_verbose 1/1 ... [2025-07-17 08:29:48.709009] 2025-07-17T08:29:48.7095180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:29:48.7097553Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn_verbose.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:29:48.709438] 2025-07-17T08:29:55.0339217Z 2025-07-17T08:29:55.0340336Z test_mkldnn_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_verbose_1.1_8d99a6a7e304aa9a_.log 2025-07-17T08:29:55.0342288Z Running 2 items in this shard: test/test_mkldnn_verbose.py::TestMKLDNNVerbose::test_verbose_off, test/test_mkldnn_verbose.py::TestMKLDNNVerbose::test_verbose_on 2025-07-17T08:29:55.0343007Z 2025-07-17T08:29:58.3652324Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:29:58.3653872Z import pkg_resources 2025-07-17T08:29:58.4915060Z Running export/test_serdes 1/1 ... [2025-07-17 08:29:58.491124] 2025-07-17T08:29:58.4915526Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:29:58.4917980Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_serdes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:29:58.491525] 2025-07-17T08:30:05.3278999Z 2025-07-17T08:30:05.3280703Z export/test_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serdes_1.1_85b48859a2bf0e6f_.log 2025-07-17T08:30:05.3281925Z 2025-07-17T08:30:08.6144100Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:30:08.6147046Z import pkg_resources 2025-07-17T08:30:08.7416290Z Running dynamo/test_recompiles 1/1 ... [2025-07-17 08:30:08.741207] 2025-07-17T08:30:08.7417093Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:30:08.7419411Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_recompiles.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:30:08.741612] 2025-07-17T08:30:11.9778201Z 2025-07-17T08:30:11.9779706Z dynamo/test_recompiles 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompiles_1.1_bb819aa2514c22f4_.log 2025-07-17T08:30:11.9780990Z 2025-07-17T08:30:15.2197978Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:30:15.2199531Z import pkg_resources 2025-07-17T08:30:15.3476050Z Running dynamo/cpython/3_13/test_unittest/test_assertions 1/1 ... [2025-07-17 08:30:15.347165] 2025-07-17T08:30:15.3476985Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:30:15.3478800Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/cpython/3_13/test_unittest/test_assertions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:30:15.347550] 2025-07-17T08:30:19.8184288Z 2025-07-17T08:30:19.8185974Z dynamo/cpython/3_13/test_unittest/test_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.cpython.3_13.test_unittest.test_assertions_1.1_1975ad274f26cfc1_.log 2025-07-17T08:30:19.8218367Z Running 35 items in this shard: test/dynamo/cpython/3_13/test_unittest/test_assertions.py::Test_Assertions::testAssertNotRegex, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::Test_Assertions::test_AlmostEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::Test_Assertions::test_AmostEqualWithDelta, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::Test_Assertions::test_assertRaises, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::Test_Assertions::test_assertRaises_frames_survival, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAlmostEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertDictEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertFalse, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertGreater, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertGreaterEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertIn, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertIs, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertIsNone, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertIsNot, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertIsNotNone, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertLess, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertLessEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertMultiLineEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertNotIn, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertNotRegex, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertRaises, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertRaisesRegex, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertRegex, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertSequenceEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertSetEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertTrue, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertWarns, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testAssertWarnsRegex, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testDefault, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testNotAlmostEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::testNotEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::test_assertNotWarns, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::test_baseAssertEqual, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::test_formatMessage_unicode_error, test/dynamo/cpython/3_13/test_unittest/test_assertions.py::TestLongMessage::test_formatMsg 2025-07-17T08:30:19.8246914Z 2025-07-17T08:30:23.0127794Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:30:23.0130750Z import pkg_resources 2025-07-17T08:30:23.1696460Z Running test_comparison_utils 1/1 ... [2025-07-17 08:30:23.169200] 2025-07-17T08:30:23.1697992Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:30:23.1704363Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_comparison_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:30:23.169921] 2025-07-17T08:30:26.5396083Z 2025-07-17T08:30:26.5397350Z test_comparison_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_comparison_utils_1.1_8a540c004d71f53d_.log 2025-07-17T08:30:26.5402105Z Running 7 items in this shard: test/test_comparison_utils.py::TestComparisonUtils::test_all_equal_no_assert, test/test_comparison_utils.py::TestComparisonUtils::test_all_equal_no_assert_nones, test/test_comparison_utils.py::TestComparisonUtils::test_assert_device, test/test_comparison_utils.py::TestComparisonUtils::test_assert_dtype, test/test_comparison_utils.py::TestComparisonUtils::test_assert_layout, test/test_comparison_utils.py::TestComparisonUtils::test_assert_sizes, test/test_comparison_utils.py::TestComparisonUtils::test_assert_strides 2025-07-17T08:30:26.5406242Z 2025-07-17T08:30:29.5839972Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:30:29.5842890Z import pkg_resources 2025-07-17T08:30:29.7106253Z Running test_ops 1/8 ... [2025-07-17 08:30:29.710253] 2025-07-17T08:30:29.7107740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:30:29.7109867Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:30:29.710658] 2025-07-17T08:30:40.4450191Z 2025-07-17T08:30:40.4451624Z functorch/test_aotdispatch 2/6 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_2.6_038c9c3233999cef_.log 2025-07-17T08:30:40.4655619Z Running 376 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_default_partitioner_saves_symints_not_tensors_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_dynamic_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_metadata_mutation_aliases, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_output_view_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_return, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_storage_resize_before_set_, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_dupe_fake, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_invalid_dupe_left_bias, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_mark_outputs_dynamic_use_autograd_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_mark_outputs_dynamic_use_autograd_True, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_and_returned_flipped, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_multiple_mixed, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_some_outputs_dont_require_grad_non_view, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_functionalized_rng_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_input_dupes_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_input_mutation_on_input_requiring_grad_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_metadata_mutation_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_conv_and_bn, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_outdtype, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_reshape, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_with_cond_nested, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_simplified_pytrees_banned, test/functorch/test_aotdispatch.py::TestPartitioning::test_generate_gives_inference_graph, test/functorch/test_aotdispatch.py::TestPartitioning::test_min_cut_partitioner_output_tensor_shape_tensor, test/functorch/test_aotdispatch.py::TestPartitioning::test_min_cut_partitioner_raise_getitems, test/functorch/test_aotdispatch.py::TestPartitioning::test_preserve_random, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_simple, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_flex_attn_noncontiguous_tangents, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_grads_no_force_contiguous_dense, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_noncontig_nonmemformat_tangents_dynamic_shapes_True_test_subclasses_True_device_cuda, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_rrelu_with_noise_mutation, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_subclass_parameters_torture_case, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_tangent_type_coercion, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_make_fx_jacrev_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_make_fx_vjp_cpu, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___radd___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__segment_reduce_offsets_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__softmax_backward_data_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__unsafe_masked_index_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_abs_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_acos_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addmm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addr_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_alias_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_amax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_atan2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_block_diag_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_broadcast_shapes_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_broadcast_to_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cat_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_clamp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_clamp_max_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_column_stack_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_constant_pad_nd_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cummax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_diagflat_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_diagonal_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_diagonal_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_expand_copy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_expand_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_fftshift_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_ifft_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_ihfft_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_rfftn_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_flatten_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_float_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fmod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_full_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_grid_sampler_2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_index_reduce_amin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_inner_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_isfinite_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_isnan_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_ldexp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_cholesky_ex_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_eigvalsh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_matrix_power_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_slogdet_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_solve_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_logdet_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_logical_xor_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_logsumexp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_lt_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_mT_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_masked_logsumexp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_masked_prod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_maximum_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_native_batch_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nextafter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_bilinear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_cross_entropy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_dropout3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_embedding_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_glu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_hardtanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_l1_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_leaky_relu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_mish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_pad_constant_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_prelu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_relu_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_softmin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_softsign_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_tanhshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nonzero_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_nonzero_static_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_qr_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_rand_like_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_randn_like_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_resize__cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_resolve_conj_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_round_decimals_neg_3_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_rsqrt_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_signal_windows_hamming_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_sort_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_bessel_y1_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_special_spherical_bessel_j0_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_std_mean_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_svd_lowrank_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_t_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_take_along_dim_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_tanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_tensor_split_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_tensordot_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_transpose_cpu_float32, 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test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_LogSoftmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MaxPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_NLLLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RNN_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_SiLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Tanhshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Threshold_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_TransformerDecoderLayer_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ZeroPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveAvgPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveMaxPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AvgPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm3d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CircularPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConvTranspose3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CosineEmbeddingLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GRUCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GRU_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Hardswish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm1d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm2d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LPPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LSTMCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConv1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConv2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConv3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Linear_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LogSigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiheadAttention_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RNN_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RNN_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_SELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Sigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_SmoothL1Loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ZeroPad3d_cpu_float32, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_pass_autocast_on, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_buffer_copied_in_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_buffer_copied_in_graph_with_different_shapes, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_default_partitioner_saves_symints_not_tensors_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dynamic_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_data_and_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_inplace_requires_grad_true, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_aliases_other_input2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_is_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_set__input_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_inputs_overlapping_unsqueeze_with_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_multi_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_no_grad_input_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_and_returned_different_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_single, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_real_weights_in_symbolic_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_real_weights_in_symbolic_mode_with_inplace_ops, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_set__steals_view_chain, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_some_outputs_dont_require_grad_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_buffer_copied_in_graph_with_different_shapes, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_default_partitioner_saves_symints_not_tensors_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dupe_arg_returned_as_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dupe_arg_torture, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dynamic_shape_output_not_in_bw_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_inner_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_data_and_metadata_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_aliases_bases_out_of_order, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_and_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_hidden_from_autograd_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_modifies_autograd_meta_of_aliases, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_requires_grad_detach, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_requires_grad_no_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_before_set_, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_up, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_output_view_mutate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mark_activations_dynamic_with_nested, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mem_leak_from_save_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mutation_of_input_in_fw_and_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_new_inp_requires_grad_now, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_inplace_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_multiple_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_outputs_are_aliased, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_real_weights_in_symbolic_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_set__and_data_mutation_good, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_single_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_some_output_requires_grad_input_doesnt, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_some_outputs_dont_require_grad_non_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_some_outputs_dont_require_grad_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_squeeze_mutation 2025-07-17T08:30:40.4854159Z 2025-07-17T08:30:43.7611077Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:30:43.7613901Z import pkg_resources 2025-07-17T08:30:43.8908527Z Running test_ops 3/8 ... [2025-07-17 08:30:43.890487] 2025-07-17T08:30:43.8909171Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:30:43.8912962Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=3', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:30:43.890928] 2025-07-17T08:32:46.8584499Z 2025-07-17T08:32:46.8586046Z test_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.1_322fdd9bd6bdf18f_.log 2025-07-17T08:32:47.3174822Z Running 9005 items in this shard: test/test_decomp.py::TestDecompCPU::test_arange_graph_cpu, test/test_decomp.py::TestDecompCPU::test_batch_norm_unflatten_weight_bias_cpu, test/test_decomp.py::TestDecompCPU::test_bernoulli_default_cpu, test/test_decomp.py::TestDecompCPU::test_broadcasting_index_copy_cpu, test/test_decomp.py::TestDecompCPU::test_cat_single_input_cpu, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_uint8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_int16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svdvals_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svdvals_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svdvals_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svdvals_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorinv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorinv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorinv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorinv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_multinomial_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_multinomial_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_multinomial_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_multinomial_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmean_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_native_dropout_backward_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_dropout_backward_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_layer_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_layer_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_layer_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_native_layer_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ne_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_new_full_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_full_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_full_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_full_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_full_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_zeros_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_alpha_dropout_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_alpha_dropout_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_alpha_dropout_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_alpha_dropout_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_avg_pool3d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_batch_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_batch_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_batch_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_batch_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_bilinear_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_bilinear_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_bilinear_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nn_functional_bilinear_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch__scaled_mm_cpu_float8_e4m3fn, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch__scaled_mm_cpu_float8_e5m2, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_complex64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_indices_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_indices_cpu_int32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_uniform_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_uniform_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_uniform_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_uniform_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_uniform_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_uniform_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_uint16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_uint32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_uint64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_complex_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_complex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_complex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_real_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_real_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_masked_fill_cpu, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_complex_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_complex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_complex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_int16, 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test/test_decomp.py::TestDecompCPU::test_quick_core_backward__unsafe_masked_index_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward__unsafe_masked_index_put_accumulate_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_addcmul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_addr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_alias_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_baddbmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_bernoulli_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_block_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_clamp_max_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_clamp_min_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_deg2rad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_diag_embed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_diagonal_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_dot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_expand_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_frac_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_index_add_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_index_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_index_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_lerp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_linalg_cross_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logaddexp2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logaddexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_masked_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nan_to_num_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nansum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_native_dropout_backward_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_glu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_hardshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_hardswish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool2d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool3d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_softshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_unfold_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_norm_fro_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_norm_inf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_norm_nuc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_rad2deg_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_renorm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_roll_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_rot90_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_rsub_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_select_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_sgn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_sinc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_entr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_log_ndtr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_xlog1py_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_split_list_args_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_split_with_sizes_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_squeeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_squeeze_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_squeeze_multiple_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_stack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_sum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_t_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_t_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_take_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_trace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_transpose_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_transpose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_tril_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_triu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_unbind_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_unfold_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_unsafe_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_unsqueeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_vdot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_xlogy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_int16, 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test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_uint8, 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test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_uint8, 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test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_frac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_frac_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_frac_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_frac_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_frexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_frexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_frexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_frexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_ge_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_bfloat16, 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test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_complex64, 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test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardswish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_huber_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_complex64, 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test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_polar_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_polar_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tril_indices_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_tril_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_triu_indices_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_triu_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_bool, 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test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_GRU_eval_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_GRU_eval_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_GRU_train_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_GRU_train_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_eval_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_eval_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_train_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_train_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_eval_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_eval_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_train_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_train_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_uniform_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_amp_batch_norm_backward_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_contiguous_log_softmax_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_contiguous_softmax_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_elu_backward_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_exponential_non_inf_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_native_layer_norm_cpu_decomp_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_decomp.py::DecompOneOffTestsCPU::test_threshold_backward_dtype_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_weight_norm_interface_cpu, test/test_decomp.py::HasDecompTest::test_aten_core_operators, test/test_decomp.py::HasDecompTest::test_has_decomposition 2025-07-17T08:32:47.8921624Z 2025-07-17T08:32:51.5731114Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:32:51.5734071Z import pkg_resources 2025-07-17T08:32:51.7644416Z Running test_ops 6/8 ... [2025-07-17 08:32:51.764001] 2025-07-17T08:32:51.7645180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:32:51.7650156Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=6', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:32:51.764644] 2025-07-17T08:39:57.4427553Z 2025-07-17T08:39:57.4429298Z test_ops 1/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.8_faea50637c5e9ba1_.log 2025-07-17T08:39:57.6842056Z Running 4301 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu___getitem___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rmatmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__batch_norm_with_update_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_int_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_long_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_as_strided_partial_views_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_flip_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_fliplr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_log_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_narrow_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_new_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_unfold_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_vsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__unsafe_masked_index_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_baddbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_block_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cauchy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cholesky_inverse_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_corrcoef_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cummin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_double_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_geometric_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_grid_sampler_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_solve_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_lu_unpack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_ormqr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_pinverse_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_quantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_rand_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_scalar_tensor_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_svd_lowrank_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_tensordot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_to_sparse_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_triangular_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_unique_cpu_float32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_H_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_as_strided_scatter_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_cat_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_chunk_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_conj_physical_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_contiguous_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_double_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_eq_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_isreal_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_linalg_diagonal_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_mH_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_neg_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_new_zeros_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_repeat_interleave_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_select_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_slice_cpu_complex32, test/test_ops.py::TestCommonCPU::test_dtypes___rsub___cpu, test/test_ops.py::TestCommonCPU::test_dtypes__native_batch_norm_legit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_complex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_float_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_acosh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_addcmul_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_addr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_arange_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_atleast_1d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_chunk_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_conj_physical_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_cosh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_dot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_dsplit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_empty_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_equal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_expand_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_fftshift_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_ifft2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_ifftshift_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_irfftn_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_rfft2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fill_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fliplr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_hypot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_igamma_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_index_add_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_lgamma_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_linalg_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_log2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_log_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nan_to_num_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_alpha_dropout_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_channel_shuffle_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_group_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_hardtanh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_layer_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_smooth_l1_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_normal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_pow_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_randn_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_reshape_as_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_rsub_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_bessel_j0_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_entr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_erfcx_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_multigammaln_mvlgamma_p_1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_take_along_dim_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_tensor_split_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_triu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_unfold_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_unsqueeze_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_view_as_complex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__unsafe_masked_index_put_accumulate_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_abs_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_addcmul_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_addmm_decomposed_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_asin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bmm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bool_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_chalf_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_clamp_max_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_clone_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_combinations_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_constant_pad_nd_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cross_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_diagonal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_empty_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_equal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_expand_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_eye_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fft_hfft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fft_ifft2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_flipud_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_floor_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fmax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_frexp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_index_reduce_amax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_int_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_isinf_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_cholesky_ex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_cond_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_diagonal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_ldl_solve_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_lu_factor_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_qr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_solve_ex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_vector_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_logaddexp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_logit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_logspace_tensor_overload_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_logsumexp_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_select_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_softmax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_meshgrid_variadic_tensors_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_minimum_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_mvlgamma_mvlgamma_p_1_cpu, 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test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_logsigmoid_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_max_unpool1d_grad_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pad_constant_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pad_replicate_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pad_replicate_negative_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pdist_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_silu_complex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_smooth_l1_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_softmin_with_dtype_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_softplus_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_tanhshrink_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_unfold_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_upsample_bilinear_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nonzero_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_ormqr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_polygamma_polygamma_n_2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_resolve_conj_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_round_decimals_3_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_scatter_add_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_scatter_reduce_amin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_scatter_reduce_mean_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_signal_windows_bartlett_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_signal_windows_general_hamming_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_sinh_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_sparse_mm_reduce_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_chebyshev_polynomial_u_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_chebyshev_polynomial_w_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_laguerre_polynomial_l_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_modified_bessel_i0_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_sqrt_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_squeeze_multiple_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_svd_lowrank_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_to_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unfold_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unsqueeze_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_var_unbiased_cpu, test/test_ops.py::TestCommonCPU::test_errors___rmul___cpu, test/test_ops.py::TestCommonCPU::test_errors___ror___cpu, test/test_ops.py::TestCommonCPU::test_errors_cauchy_cpu, test/test_ops.py::TestCommonCPU::test_errors_empty_permuted_cpu, test/test_ops.py::TestCommonCPU::test_errors_eq_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_hfft2_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_rfftn_cpu, test/test_ops.py::TestCommonCPU::test_errors_fliplr_cpu, test/test_ops.py::TestCommonCPU::test_errors_float_power_cpu, test/test_ops.py::TestCommonCPU::test_errors_geometric_cpu, test/test_ops.py::TestCommonCPU::test_errors_heaviside_cpu, test/test_ops.py::TestCommonCPU::test_errors_hypot_cpu, test/test_ops.py::TestCommonCPU::test_errors_ldexp_cpu, test/test_ops.py::TestCommonCPU::test_errors_linalg_cross_cpu, test/test_ops.py::TestCommonCPU::test_errors_logcumsumexp_cpu, test/test_ops.py::TestCommonCPU::test_errors_logical_or_cpu, test/test_ops.py::TestCommonCPU::test_errors_masked_select_cpu, test/test_ops.py::TestCommonCPU::test_errors_mul_cpu, test/test_ops.py::TestCommonCPU::test_errors_multinomial_cpu, test/test_ops.py::TestCommonCPU::test_errors_neg_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_multi_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_multilabel_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_triplet_margin_with_distance_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_renorm_cpu, test/test_ops.py::TestCommonCPU::test_errors_reshape_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_exponential_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_sum_layout1_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_sum_layout4_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_xlog1py_cpu, test/test_ops.py::TestCommonCPU::test_errors_sum_to_size_cpu, test/test_ops.py::TestCommonCPU::test_errors_take_cpu, test/test_ops.py::TestCommonCPU::test_errors_triu_cpu, test/test_ops.py::TestCommonCPU::test_errors_view_copy_cpu, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch__chunk_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_acosh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_atan_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ceil_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_clamp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_clamp_min_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_digamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_erf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_exp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_expm1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ifft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ifft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_rfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_histogram_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_kthvalue_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_cond_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_inv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logical_not_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_narrow_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_norm_nuc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_normal_number_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_outer_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_entr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_i0e_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_square_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_t_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_view_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_vstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_where_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___getitem___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___radd___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rdiv___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmod___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___ror___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rxor___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__softmax_backward_data_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_acos_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_acos_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_decomposed_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_all_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_partial_views_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bfloat16_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_xor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdouble_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cfloat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_copysign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cosh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diff_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_dstack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_equal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_floor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ge_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_half_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_heaviside_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_heaviside_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_inner_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isclose_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isneginf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isneginf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isreal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_kthvalue_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_eigh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lstsq_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_slogdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logaddexp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logcumsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_and_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_and_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mT_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_matmul_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nan_to_num_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nan_to_num_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanmedian_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_native_dropout_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ne_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_zeros_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_gelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_linear_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_local_response_norm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_mish_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_circular_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_unshuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_selu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softsign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_tanhshrink_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ones_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_put_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rand_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_randn_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_real_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_real_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_reciprocal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_resize_as__cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rsub_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_mean_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sgn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_entr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i1e_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtri_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_xlog1py_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_squeeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_std_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sum_to_size_cpu_int64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lu_solve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_multi_dot_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_norm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_tensorinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linspace_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log1p_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_softmax_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_or_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_fill_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_mean_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_meshgrid_list_of_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_min_reduction_with_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_minimum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_movedim_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nanmean_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_gelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_linear_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softsign_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nonzero_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nonzero_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nonzero_static_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_norm_inf_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_pinverse_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_polygamma_polygamma_n_1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_put_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rad2deg_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rand_like_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_randint_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_randn_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_renorm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resize_as__cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resize_as__cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_round_decimals_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rsub_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_add_cpu_int64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_erfcx_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_log_ndtr_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_modified_bessel_k1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_ndtri_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_ndtri_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_polygamma_special_polygamma_n_0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_scaled_modified_bessel_k1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_t_cpu_int64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_topk_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_trace_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_transpose_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_tril_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_triu_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_triu_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_true_divide_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unflatten_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unfold_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unique_consecutive_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unique_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unique_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_unsqueeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_view_as_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_view_as_real_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_view_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_vstack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_where_cpu_float32, test/test_ops.py::TestCommonCPU::test_numpy_ref_diagflat_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_equal_cpu_complex128, test/test_ops.py::TestCommonCPU::test_numpy_ref_item_cpu_float64, test/test_ops.py::TestCommonCPU::test_numpy_ref_linalg_tensorinv_cpu_float64, test/test_ops.py::TestCommonCPU::test_numpy_ref_meshgrid_variadic_tensors_cpu_complex128, test/test_ops.py::TestCommonCPU::test_numpy_ref_nn_functional_l1_loss_cpu_float64, test/test_ops.py::TestCommonCPU::test_numpy_ref_nn_functional_layer_norm_cpu_float64, test/test_ops.py::TestCommonCPU::test_numpy_ref_nn_functional_rms_norm_cpu_float64, test/test_ops.py::TestCommonCPU::test_numpy_ref_permute_cpu_complex128, test/test_ops.py::TestCommonCPU::test_numpy_ref_squeeze_copy_cpu_complex128, test/test_ops.py::TestCommonCPU::test_numpy_ref_unbind_cpu_float64, test/test_ops.py::TestCommonCPU::test_numpy_ref_unbind_cpu_int64, test/test_ops.py::TestCommonCPU::test_out___getitem___cpu_float32, test/test_ops.py::TestCommonCPU::test_out___rpow___cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs__conversions_bfloat16_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs__conversions_cfloat_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs__conversions_half_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs__conversions_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_acos_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_addcmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_atan_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_bucketize_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_clamp_min_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_clone_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_conj_physical_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_eq_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_expm1_cpu_float32, test/test_ops.py::TestCommonCPU::test_out__refs_fft_fft_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_out_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestCommonCPU::test_out_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_nn_functional_threshold_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_pca_lowrank_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_pow_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_addbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_addcdiv_cpu_complex64, 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test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_irfft2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fft_irfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_float_power_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_i0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_select_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_index_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_eigh_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_eigvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_inv_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_inv_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_multi_dot_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_norm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_solve_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log10_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log1p_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log1p_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_log2_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logit_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logsumexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_maximum_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_mul_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_nansum_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_neg_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_ormqr_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_round_decimals_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_stack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_t_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_tril_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_unfold_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_unfold_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_view_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_rot90_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_searchsorted_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_split_with_sizes_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_std_mean_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_sum_to_size_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_unsqueeze_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_var_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_warning___rmod___cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs__conversions_char_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs__conversions_complex_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs__conversions_polar_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_abs_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_addr_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_arange_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_as_strided_copy_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_broadcast_tensors_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_bucketize_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_cauchy_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_conj_physical_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_diagonal_copy_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_dsplit_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_fft_hfft2_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_fft_ifftshift_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_fft_ihfft2_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_fft_ihfftn_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_floor_divide_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_fmod_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_gt_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_isclose_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_isneginf_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_lcm_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_lgamma_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_linspace_cpu, test/test_ops.py::TestCommonCPU::test_out_warning__refs_log1p_cpu, 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test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_ones_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_ravel_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_renorm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_rot90_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_squeeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_squeeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_stack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_tensor_split_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_to_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_tril_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_var_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_vstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_as_strided_partial_views_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_block_diag_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_byte_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diag_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_exp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_expand_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_expand_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_expm1_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_irfft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_flatten_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_flipud_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_gather_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_isreal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_kron_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cross_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eig_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_inv_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_matrix_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_hermitian_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log10_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logcumsumexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logical_not_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logspace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mT_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_normalize_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_neg_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_l1_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pixel_shuffle_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_permute_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_pinverse_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_positive_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_qr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_repeat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_repeat_interleave_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_rsqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_square_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_mean_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_view_as_real_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_zeros_like_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_half_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_short_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_acosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atleast_2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_constant_pad_nd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_count_nonzero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_eq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_irfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_flatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_flip_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_index_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isinf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_svd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_zeros_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_l1_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_permute_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_repeat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sigmoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_trace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unbind_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unflatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_vdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_view_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_view_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_any_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_asin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diff_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_double_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_einsum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_eq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_equal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_fft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_int_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isnan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_kron_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lerp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_cond_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_det_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_inv_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_factor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lstsq_grad_oriented_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lu_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_pinv_hermitian_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_narrow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_new_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_constant_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nonzero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_normal_in_place_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_qr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resolve_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sgn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sinh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_svd_lowrank_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_t_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trapz_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsafe_chunk_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsafe_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsqueeze_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_where_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view_T_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___radd___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rsub___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_any_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_asinh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ceil_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_chunk_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_column_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_conj_physical_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_eye_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_hfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_rfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fliplr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_hstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isfinite_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_le_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logaddexp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_masked_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_native_layer_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_neg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_glu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_mish_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_mse_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_prelu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_reshape_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_bessel_j1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_i1e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_ndtr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_squeeze_multiple_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tensor_split_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unfold_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_acos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addcdiv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_block_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cauchy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cdouble_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cholesky_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_copysign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_div_trunc_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_exp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expand_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_eye_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_irfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_grid_sampler_2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_inner_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isneginf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eig_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eigh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lu_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_rank_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_rank_hermitian_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_norm_subgradients_at_zero_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logaddexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logdet_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logical_not_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lu_unpack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_reduction_with_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_median_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_meshgrid_list_of_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_native_batch_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_binary_cross_entropy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv_transpose2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_cosine_similarity_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_dropout2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_embedding_bag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_local_response_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_mse_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_reflect_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_replicate_negative_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pdist_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_softsign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_randint_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_repeat_interleave_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_bartlett_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_hamming_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_hann_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sinh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_slice_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sparse_sampled_addmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_y0_cpu_float64, 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test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_new_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_remainder_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_entr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_torch__scaled_mm_cpu_float8_e4m3fn, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_uniform_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_acosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addmm_decomposed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_angle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_hfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_half_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___getitem___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rmatmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addcmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_partial_views_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fmod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tensordot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_eq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_geqrf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isfinite_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vander_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_xor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_multinomial_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ne_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_pca_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unique_consecutive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___getitem___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__batch_norm_with_update_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_any_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bool_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_char_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_contiguous_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ihfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_imag_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isfinite_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logaddexp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_not_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_narrow_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nonzero_static_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_xlogy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_bool, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int8, test/test_ops.py::TestTagsCPU::test_tags___rpow___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_int_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_addcdiv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_addcmul_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_clamp_min_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_clone_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_constant_pad_nd_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cos_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cosh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_dsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_erfc_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_exp2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_exp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_ihfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fill_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_flip_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_item_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_lcm_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_native_layer_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_softplus_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_normal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_ones_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_real_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_bessel_j1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_xlog1py_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sqrt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_square_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_squeeze_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_std_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_t_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_unflatten_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_vsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__softmax_backward_data_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_addr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_argmin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_asin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_atleast_2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_bitwise_left_shift_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_block_diag_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_bmm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cholesky_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_clamp_min_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_conj_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cos_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cummax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_diag_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_diag_embed_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_dstack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_empty_permuted_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_equal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_exp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_fft_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_ihfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_flip_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_float_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fmax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ge_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_histogram_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_igammac_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_fill_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_reduce_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ldexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_le_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lerp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_det_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_tensorinv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_log_softmax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lu_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lu_unpack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_cumprod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_logaddexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_logsumexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_normalize_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_var_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_matrix_exp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nanquantile_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_native_batch_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_neg_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_new_empty_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_new_ones_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_relu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_selu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_silu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nonzero_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_norm_fro_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ones_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_resolve_neg_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sign_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_blackman_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sinh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_slice_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_bessel_y0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_split_list_args_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_squeeze_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_stack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_std_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tan_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tanh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tile_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_transpose_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_trunc_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unbind_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_uniform_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_var_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_var_unbiased_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_zeros_like_cpu_float32 2025-07-17T08:39:57.9166646Z 2025-07-17T08:40:01.0512344Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:40:01.0515236Z import pkg_resources 2025-07-17T08:40:01.1830665Z Running test_ops 7/8 ... [2025-07-17 08:40:01.182104] 2025-07-17T08:40:01.1831151Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:40:01.1832306Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=7', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:40:01.182555] 2025-07-17T08:41:23.2368884Z 2025-07-17T08:41:23.2370238Z test_ops 3/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_3.8_fa3576802d0f2a03_.log 2025-07-17T08:41:23.5875967Z Running 4347 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_cdouble_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_char_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_short_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_addcdiv_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_chunk_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_exponential_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_fft_ifftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_linalg_vector_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_reshape_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_special_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_std_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_tril_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_addmm_decomposed_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_addr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_atleast_1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_bmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_expand_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_fmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_full_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_put_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_inv_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_multi_dot_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_errors_gt_cpu, test/test_ops.py::TestCommonCPU::test_errors_hstack_cpu, test/test_ops.py::TestCommonCPU::test_errors_igamma_cpu, test/test_ops.py::TestCommonCPU::test_errors_isclose_cpu, test/test_ops.py::TestCommonCPU::test_errors_jiterator_binary_return_by_ref_cpu, test/test_ops.py::TestCommonCPU::test_errors_linalg_diagonal_cpu, test/test_ops.py::TestCommonCPU::test_errors_ne_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_adaptive_avg_pool1d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_adaptive_avg_pool2d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_adaptive_avg_pool3d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_gelu_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_soft_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_reshape_as_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_cosine_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_nuttall_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_mul_layout3_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_sum_layout2_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_chebyshev_polynomial_w_cpu, test/test_ops.py::TestCommonCPU::test_errors_view_cpu, test/test_ops.py::TestCommonCPU::test_errors_vsplit_cpu, test/test_ops.py::TestCommonCPU::test_errors_vstack_cpu, test/test_ops.py::TestCommonCPU::test_errors_where_cpu, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_angle_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_fftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ifftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fmod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_histc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_isneginf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lgamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_vecdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lt_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_softplus_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nonzero_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_randn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_decimals_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_decimals_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sgn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_i1e_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_zeta_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_transpose_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_triangular_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_unsqueeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_H_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___getitem___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rand___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmatmul___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmul___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rsub___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_decomposed_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_not_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_or_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_right_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_block_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_byte_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_clone_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagflat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_dist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_trunc_rounding_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_permuted_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fill_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_flip_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_flipud_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_frac_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gt_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_hstack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_i0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_select_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_item_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_kron_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ldexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lerp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_vander_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_vander_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_softmax_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_select_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_std_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_variadic_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nansum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nansum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_narrow_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_glu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu6_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softmin_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softsign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_threshold_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_threshold_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nonzero_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_norm_fro_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_normal_in_place_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ormqr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rot90_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_decimals_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_sum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sort_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_airy_ai_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_j0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_h_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_he_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i0e_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_legendre_polynomial_p_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_v_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_triu_indices_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_uniform_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsafe_chunk_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsafe_split_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_zero__cpu_float32, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_all_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_argwhere_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_atleast_1d_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_cartesian_prod_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_column_stack_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_deg2rad_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_empty_like_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_erfc_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_expand_copy_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_expand_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_eye_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fill_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fmax_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_full_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_half_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_hstack_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_linalg_diagonal_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_log_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_maximum_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_nn_functional_unfold_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_outer_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_polygamma_polygamma_n_3_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_put_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_rad2deg_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_reciprocal_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_sgn_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_bessel_j0_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_chebyshev_polynomial_v_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_erfcx_cpu_bool, 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test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_xlog1py_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_sqrt_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_square_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_squeeze_multiple_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_svd_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_tanh_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_tile_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unbind_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unflatten_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unsqueeze_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_view_as_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_vstack_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_zero__cpu_float32, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_long_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_as_strided_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_asinh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_atleast_2d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_chunk_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_clone_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_diagonal_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_equal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_irfft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_index_add_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_isinf_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_istft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_matrix_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_new_full_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_channel_shuffle_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_pixel_shuffle_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_tanhshrink_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_triplet_margin_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_positive_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_rsub_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_special_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_std_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_view_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_addcmul_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_allclose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_as_strided_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_atan_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cfloat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_chunk_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_clone_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_corrcoef_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diff_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_dsplit_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_equal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_half_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cholesky_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lu_factor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lu_factor_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_svdvals_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logical_xor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logsumexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_cumprod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_select_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_sum_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_meshgrid_variadic_tensors_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_empty_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_full_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_zeros_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_reflect_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_triplet_margin_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_ones_like_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_ormqr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_outer_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_prod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_randn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_reshape_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_resolve_neg_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_short_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sin_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sinc_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sparse_sampled_addmm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_with_sizes_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_svd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tan_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tanh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_to_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_transpose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unfold_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsqueeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_where_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___getitem___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_chalf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_all_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_as_strided_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_cosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_dstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_ifft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_index_select_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_cross_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_svdvals_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logaddexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_neg_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_softmin_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_reshape_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sgn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sinc_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sinh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_tril_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_angle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_argwhere_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_as_strided_partial_views_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atleast_2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_broadcast_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_byte_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cartesian_prod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_chalf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cholesky_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cumulative_trapezoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_permuted_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expand_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_fftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_flatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_float_power_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_full_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_hstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_inner_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isinf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_istft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_inv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lstsq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_matrix_power_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_qr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_slogdet_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_and_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_logsumexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_normalize_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv3d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_circular_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_reflect_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_replicate_negative_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pixel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_unfold_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ormqr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_put_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_reciprocal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_reshape_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resize__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_slice_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_squeeze_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trapezoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unflatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_var_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view__chunk_cat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_T_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_as_strided_partial_views_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atan2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atleast_2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_clone_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cumprod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cumsum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diagonal_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_dsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_expand_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_fft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ifft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ihfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_irfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_float_power_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isneginf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_vecdot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logical_or_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_lt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_narrow_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_ones_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_zeros_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_leaky_relu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_pixel_unshuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_round_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_multigammaln_mvlgamma_p_1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_multigammaln_mvlgamma_p_5_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_spherical_bessel_j0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_zeta_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sum_to_size_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_to_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_true_divide_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unfold_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_var_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_arange_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_bmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_bucketize_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_chunk_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_clone_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_count_nonzero_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cummin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cumulative_trapezoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_deg2rad_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_equal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_erf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_exp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expand_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expm1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_irfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fliplr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_float_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_floor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_gather_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_histc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_i0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isposinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isreal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_le_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_power_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_pinv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_slogdet_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_vector_norm_cpu_float64, 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test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_istft_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_item_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_jiterator_unary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_householder_product_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_log1p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_glu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_randint_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_short_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signbit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_bessel_j1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tensordot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_as_real_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_vstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_or_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_bucketize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_byte_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cdouble_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cholesky_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clamp_min_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___radd___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atan2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cartesian_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cdouble_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_copysign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_erfc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ifftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_floor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_glu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_threshold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sinc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unfold_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_H_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_abs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_alias_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_asin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_asinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_copysign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_deg2rad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_hfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_flip_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_embedding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_ormqr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_permute_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_repeat_interleave_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_squeeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trunc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unfold_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_digamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_equal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_erf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_erfc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_hfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_frac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_heaviside_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isneginf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_or_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_narrow_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_prelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softplus_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nonzero_static_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ones_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ravel_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scalar_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_hann_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_j1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_torch__scaled_mm_cpu_float8_e4m3fn, test/test_ops.py::TestFakeTensorCPU::test_fake_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tril_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_unravel_index_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_view_as_real_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_H_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_T_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___radd___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_abs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_acosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addcmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_alias_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_angle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argsort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_as_strided_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bincount_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_left_shift_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clamp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_constant_pad_nd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_count_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_digamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_fftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_hfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ihfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_irfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fmod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gcd_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ge_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_histogram_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_igamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isneginf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isposinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lcm_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_matrix_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randint_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_short_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_squeeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_uniform_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float64, test/test_ops.py::TestTagsCPU::test_tags___getitem___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__chunk_cat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_bool_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_chalf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_alias_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_arange_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_broadcast_to_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_deg2rad_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_diag_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_expand_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_exponential_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_eye_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_ifftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_rfft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_flatten_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_floor_divide_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_geometric_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_gt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isneginf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isreal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linalg_vecdot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_log1p_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nextafter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_renorm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_signbit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_i1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_ndtr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_ndtri_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_squeeze_multiple_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_unsqueeze_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_any_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_as_strided_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_atan2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_atleast_3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_broadcast_shapes_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cartesian_prod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_complex_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_copysign_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_corrcoef_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_count_nonzero_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_deg2rad_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_diagonal_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_eq_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_exp2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_expand_as_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_ifft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_irfft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fliplr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_floor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_floor_divide_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_gather_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_gradient_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_histc_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_hstack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_reduce_amax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_jiterator_unary_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_cond_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_eigvals_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_inv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_qr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_slogdet_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_svdvals_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logaddexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logical_not_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logsumexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_argmin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_minimum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_native_dropout_backward_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nextafter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_mish_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_unfold_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_norm_nuc_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ones_like_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_pca_lowrank_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_pinverse_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_put_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_rand_like_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_real_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_reshape_as_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_resize_as__cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_rsub_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_select_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_nuttall_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_log_ndtr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_scaled_modified_bessel_k1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_zeta_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_square_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_svd_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unsafe_chunk_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_view_as_real_cpu_complex64, test/test_ops.py::TestTagsCPU::test_tags_zeros_cpu_float32 2025-07-17T08:41:23.9153572Z 2025-07-17T08:41:26.9213159Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:41:26.9216530Z import pkg_resources 2025-07-17T08:41:27.1090387Z Running dynamo/test_base_output 1/1 ... [2025-07-17 08:41:27.108613] 2025-07-17T08:41:27.1091440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:41:27.1094716Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_base_output.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:41:27.109137] 2025-07-17T08:41:31.2941580Z 2025-07-17T08:41:31.2943155Z dynamo/test_base_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_output_1.1_fa3b552bf1b0e773_.log 2025-07-17T08:41:31.2944521Z 2025-07-17T08:41:36.2104402Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:41:36.2107429Z import pkg_resources 2025-07-17T08:41:36.4034662Z Running inductor/test_kernel_benchmark 1/1 ... [2025-07-17 08:41:36.402886] 2025-07-17T08:41:36.4035648Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:41:36.4038052Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_kernel_benchmark.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:41:36.403341] 2025-07-17T08:41:45.6840810Z 2025-07-17T08:41:45.6847850Z inductor/test_kernel_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_benchmark_1.1_b724e5559cd227f2_.log 2025-07-17T08:41:45.6856461Z 2025-07-17T08:41:49.6306286Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:41:49.6309695Z import pkg_resources 2025-07-17T08:41:49.8391637Z Running inductor/test_triton_cpu_backend 1/1 ... [2025-07-17 08:41:49.838729] 2025-07-17T08:41:49.8392695Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:41:49.8398304Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_cpu_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:41:49.839459] 2025-07-17T08:42:00.4595226Z 2025-07-17T08:42:00.4601611Z inductor/test_triton_cpu_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_cpu_backend_1.1_b9aa8051d4afd1ff_.log 2025-07-17T08:42:00.4610240Z 2025-07-17T08:42:04.7670136Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:42:04.7673031Z import pkg_resources 2025-07-17T08:42:04.9151474Z Running export/test_functionalized_assertions 1/1 ... [2025-07-17 08:42:04.914664] 2025-07-17T08:42:04.9154034Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:42:04.9242269Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_functionalized_assertions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:42:04.915085] 2025-07-17T08:42:09.5247582Z 2025-07-17T08:42:09.5249638Z export/test_functionalized_assertions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_functionalized_assertions_1.1_d0490153181ffcc2_.log 2025-07-17T08:42:09.5256632Z Running 2 items in this shard: test/export/test_functionalized_assertions.py::TestFuntionalAssertions::test_functional_assert_async_msg, test/export/test_functionalized_assertions.py::TestFuntionalAssertions::test_functional_sym_constrain_range 2025-07-17T08:42:09.5259761Z 2025-07-17T08:42:13.2418280Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:42:13.2421294Z import pkg_resources 2025-07-17T08:42:13.4381076Z Running inductor/test_analysis 1/1 ... [2025-07-17 08:42:13.437595] 2025-07-17T08:42:13.4381887Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:42:13.4385252Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_analysis.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:42:13.438070] 2025-07-17T08:42:22.1840168Z 2025-07-17T08:42:22.1841945Z inductor/test_analysis 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_analysis_1.1_78ff7046831d3208_.log 2025-07-17T08:42:22.1865021Z Running 26 items in this shard: test/inductor/test_analysis.py::TestUtils::test_tabulate2d, test/inductor/test_analysis.py::TestUtils::test_zip_dicts, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat0_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat0_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat1_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat1_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat2_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat2_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat3_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_against_flop_counter_maxat3_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_augment_trace_helper_unit_cpu, test/inductor/test_analysis.py::TestAnalysisCPU::test_diff_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_diff_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_diff_cpu_float64, test/inductor/test_analysis.py::TestAnalysisCPU::test_noop_cpu, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat0_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat0_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat1_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat1_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat2_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat2_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat3_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_pointwise_bandwidth_maxat3_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_triton_has_metadata_maxat0_cpu_float16, test/inductor/test_analysis.py::TestAnalysisCPU::test_triton_has_metadata_maxat0_cpu_float32, test/inductor/test_analysis.py::TestAnalysisCPU::test_triton_has_metadata_maxat0_cpu_float64 2025-07-17T08:42:22.1887002Z 2025-07-17T08:42:26.3627876Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:42:26.3631006Z import pkg_resources 2025-07-17T08:42:26.5480471Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-07-17 08:42:26.547589] 2025-07-17T08:42:26.5481365Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:42:26.5484356Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:42:26.548054] 2025-07-17T08:42:36.3128055Z 2025-07-17T08:42:36.3129525Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_a3ebd53f87a8fedc_.log 2025-07-17T08:42:36.3130736Z 2025-07-17T08:42:40.8729146Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:42:40.8732209Z import pkg_resources 2025-07-17T08:42:41.0564925Z Running inductor/test_compiled_autograd 1/1 ... [2025-07-17 08:42:41.056053] 2025-07-17T08:42:41.0565553Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:42:41.0567904Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_compiled_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:42:41.056431] 2025-07-17T08:42:51.5019322Z 2025-07-17T08:42:51.5021004Z inductor/test_compiled_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_autograd_1.1_df839b31f31fa033_.log 2025-07-17T08:42:51.5022786Z 2025-07-17T08:42:55.8801363Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:42:55.8804392Z import pkg_resources 2025-07-17T08:42:56.0724085Z Running typing/test_python_operators 1/1 ... [2025-07-17 08:42:56.071872] 2025-07-17T08:42:56.0728225Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:42:56.0739116Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'typing/test_python_operators.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:42:56.073426] 2025-07-17T08:43:01.0563100Z 2025-07-17T08:43:01.0567296Z typing/test_python_operators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/typing.test_python_operators_1.1_bf113b953c05c466_.log 2025-07-17T08:43:01.0770814Z Running 318 items in this shard: test/typing/test_python_operators.py::TestPythonOperators::test_binary_a100_op_%_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a101_op_%_b101, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a102_op_%_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a103_op_%_b103, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a104_op_*_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a105_op_*_b105, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a106_op_*_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a107_op_*_b107, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a108_op_**_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a109_op_**_b109, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a110_op_**_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a111_op_**_b111, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a112_op_+_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a113_op_+_b113, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a114_op_+_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a115_op_+_b115, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a116_op_-_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a117_op_-_b117, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a118_op_-_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a119_op_-_b119, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a120_op_/_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a121_op_/_b121, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a122_op_/_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a123_op_/_b123, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a124_op_//_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a125_op_//_b125, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a126_op_//_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a127_op_//_b127, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a128_op_&_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a129_op_&_b129, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a130_op_&_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a131_op_&_b131, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a132_op_<<_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a133_op_<<_b133, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a134_op_<<_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a135_op_<<_b135, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a136_op_>>_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a137_op_>>_b137, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a138_op_>>_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a139_op_>>_b139, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a140_op_^_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a141_op_^_b141, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a142_op_^_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a143_op_^_b143, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a144_op_|_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a145_op_|_b145, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a146_op_|_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a147_op_|_b147, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a148_op_@_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a149_op_@_b149, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a150_op_@_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a151_op_@_b151, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a228_op_!=_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a229_op_!=_b229, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a230_op_!=_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a231_op_!=_b231, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a232_op_<_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a233_op_<_b233, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a234_op_<_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a235_op_<_b235, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a236_op_<=_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a237_op_<=_b237, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a238_op_<=_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a239_op_<=_b239, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a240_op_==_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a241_op_==_b241, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a242_op_==_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a243_op_==_b243, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a244_op_>_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a245_op_>_b245, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a246_op_>_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a247_op_>_b247, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a248_op_>=_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a249_op_>=_b249, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a250_op_>=_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a251_op_>=_b251, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a252_op_%_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a253_op_%_b253, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a254_op_%_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a255_op_%_b255, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a256_op_*_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a257_op_*_b257, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a258_op_*_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a259_op_*_b259, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a260_op_**_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a261_op_**_b261, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a262_op_**_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a263_op_**_b263, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a264_op_+_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a265_op_+_b265, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a266_op_+_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a267_op_+_b267, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a268_op_-_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a269_op_-_b269, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a270_op_-_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a271_op_-_b271, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a272_op_/_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a273_op_/_b273, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a274_op_/_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a275_op_/_b275, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a276_op_//_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a277_op_//_b277, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a278_op_//_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a279_op_//_b279, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a280_op_&_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a281_op_&_b281, 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test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_+_b191, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_+_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_+_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_-_b193, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_-_b195, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_-_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_-_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_//_b201, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_//_b203, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_//_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_//_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_/_b197, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_/_b199, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_/_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_/_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_<<_b209, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_<<_b211, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_<<_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_<<_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_<=_b161, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_<=_b163, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_<=_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_<=_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_<_b157, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_<_b159, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_<_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_<_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_==_b165, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_==_b167, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_==_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_==_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_>=_b173, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_>=_b175, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_>=_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_>=_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_>>_b213, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_>>_b215, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_>>_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_>>_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_>_b169, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_>_b171, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_>_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_>_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_@_b225, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_@_b227, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_@_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_@_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_^_b217, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_^_b219, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_^_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_^_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_|_b221, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_|_b223, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_|_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a_3_op_|_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_operators_are_correct_and_complete, test/typing/test_python_operators.py::TestPythonOperators::test_type_tests_are_complete, test/typing/test_python_operators.py::TestPythonOperators::test_unary_op_+_a1, test/typing/test_python_operators.py::TestPythonOperators::test_unary_op_+_a3, test/typing/test_python_operators.py::TestPythonOperators::test_unary_op_+_a_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_unary_op_+_a_3, test/typing/test_python_operators.py::TestPythonOperators::test_unary_op_-_a5, test/typing/test_python_operators.py::TestPythonOperators::test_unary_op_-_a7, test/typing/test_python_operators.py::TestPythonOperators::test_unary_op_-_a_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_unary_op_-_a_3, test/typing/test_python_operators.py::TestPythonOperators::test_unary_op_~_a11, test/typing/test_python_operators.py::TestPythonOperators::test_unary_op_~_a9, test/typing/test_python_operators.py::TestPythonOperators::test_unary_op_~_a_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_unary_op_~_a_3 2025-07-17T08:43:01.0894845Z 2025-07-17T08:43:04.2493084Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:43:04.2495682Z import pkg_resources 2025-07-17T08:43:04.3865748Z Running torch_np/test_nep50_examples 1/1 ... [2025-07-17 08:43:04.386157] 2025-07-17T08:43:04.3866663Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:43:04.3869144Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_nep50_examples.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:43:04.386552] 2025-07-17T08:43:10.1611439Z 2025-07-17T08:43:10.1613096Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_5d707fd76ead8c07_.log 2025-07-17T08:43:10.3117736Z Running 1573 items in this shard: test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_3j + array(3, complex64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_True + uint8(2), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array(1_0, float32) + 1e-14 == 1_0, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([0_1], float32) == float64(0_1), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([100], uint8) + 200, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 1, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 200, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 300, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + array(1, int64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + int64(1), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_0], float32) + 1e-14 == 1_0, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + 3, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + array(1_, float64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + float64(1_), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + int64(3), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_bool_(True) + 1, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_float32(1) + 1j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_float32(1) + 3e100, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_float32(5) + 5j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_int16(2) + 2, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_int16(4) + 4j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_int32(1) + 5j, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_uint8(1) + 2, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_uint8(1) + 300, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_uint8(100) + 200, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar27_array27, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar28_array28, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar29_array29, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar30_array30, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar31_array31, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar32_array32, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar33_array33, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar34_array34, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar35_array35, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array10, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array11, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array12, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array13, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array14, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array15, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_add_scalar_1_array16, 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test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_True_array4, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_True_array5, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_True_array6, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_True_array7, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_compare_ufuncs_name_true_divide_scalar_True_array8, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar27_array27_dtype27, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar28_array28_dtype28, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar29_array29_dtype29, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar30_array30_dtype30, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar31_array31_dtype31, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar32_array32_dtype32, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar33_array33_dtype33, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar34_array34_dtype34, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar35_array35_dtype35, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array10_dtype10, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array11_dtype11, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array12_dtype12, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array13_dtype13, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array14_dtype14, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array15_dtype15, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array16_dtype16, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array17_dtype17, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_1_array9_dtype9, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array18_dtype18, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array19_dtype19, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array20_dtype20, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array21_dtype21, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array22_dtype22, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array23_dtype23, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array24_dtype24, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array25_dtype25, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_2_0_array26_dtype26, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array0_dtype0, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array1_dtype1, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array2_dtype2, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array3_dtype3, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array4_dtype4, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array5_dtype5, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array6_dtype6, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array7_dtype7, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array8_dtype8 2025-07-17T08:43:10.4582912Z 2025-07-17T08:43:14.3702995Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:43:14.3706299Z import pkg_resources 2025-07-17T08:43:14.5597039Z Running inductor/test_best_config 1/1 ... [2025-07-17 08:43:14.559287] 2025-07-17T08:43:14.5599140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:43:14.5604136Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_best_config.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:43:14.560003] 2025-07-17T08:43:19.1689143Z 2025-07-17T08:43:19.1690666Z test_ops 6/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_6.8_841c62343081e01c_.log 2025-07-17T08:43:19.4227078Z Running 4238 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu___rand___cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_bool_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_cfloat_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_arange_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_constant_pad_nd_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_fmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_geometric_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_index_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_logaddexp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_logspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_masked_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_mul_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_new_empty_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_new_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_normal__in_place_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_repeat_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_reshape_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_special_xlog1py_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_stft_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_transpose_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_vstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_arange_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_as_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_as_strided_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_bitwise_right_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu_contiguous_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_dist_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_empty_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_empty_permuted_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_fft_ifftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_flip_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_hsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_igamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_int_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_isin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_kron_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_kthvalue_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_ldexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_matrix_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_pinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_logaddexp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_matrix_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nanmedian_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_narrow_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_native_dropout_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_new_empty_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_new_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_norm_nuc_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_select_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_sort_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_zeros_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_as_strided_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_atleast_1d_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_diagonal_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_empty_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_empty_permuted_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_fft_ifftshift_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_fill_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_full_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_movedim_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_new_empty_strided_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_nonzero_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_norm_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_permute_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_dtypes_H_cpu, test/test_ops.py::TestCommonCPU::test_dtypes___getitem___cpu, test/test_ops.py::TestCommonCPU::test_dtypes___rmod___cpu, test/test_ops.py::TestCommonCPU::test_dtypes__chunk_cat_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_cdouble_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_double_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_as_strided_scatter_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_asin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_bitwise_or_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_block_diag_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_broadcast_tensors_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_clone_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_column_stack_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_eye_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_fft_rfftn_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_floor_divide_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_geometric_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_hstack_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_imag_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_linalg_svdvals_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_logspace_tensor_overload_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_lt_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_native_layer_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_new_zeros_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_dropout_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_gelu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_softmin_with_dtype_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_softplus_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_nn_functional_tanhshrink_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_normal_number_mean_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_permute_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_real_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_remainder_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_renorm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_repeat_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_rsqrt_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_select_scatter_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_log_ndtr_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_logit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_multigammaln_mvlgamma_p_3_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_ndtri_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_special_softmax_with_dtype_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_stft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_sum_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_tan_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_vdot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_view_copy_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs_vsplit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__segment_reduce_lengths_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__segment_reduce_offsets_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__unsafe_masked_index_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_addcdiv_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_addmm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_any_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_atleast_1d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_atleast_3d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bfloat16_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_bitwise_not_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_broadcast_to_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cat_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cdouble_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cfloat_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_chunk_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cumprod_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cumsum_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_diag_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_diff_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_dot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_dsplit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_eq_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fft_fftshift_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fft_ihfftn_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_fft_rfftn_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_gt_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_histc_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_histogram_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_index_fill_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_isposinf_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_isreal_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_kthvalue_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_ldl_factor_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_lstsq_grad_oriented_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_lu_solve_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_multi_dot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_tensorinv_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_lu_unpack_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_amax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_amin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_argmax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_var_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_max_reduction_with_dim_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_min_binary_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_msort_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_native_batch_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_new_ones_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_adaptive_avg_pool2d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_cosine_embedding_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_embedding_bag_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_fractional_max_pool3d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_gaussian_nll_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_gelu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_instance_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_layer_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_leaky_relu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_max_pool1d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_nll_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_normalize_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pixel_unshuffle_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_soft_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_threshold_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nonzero_static_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_pinverse_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_prod_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_repeat_interleave_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_round_decimals_neg_3_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_rsub_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_short_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_signal_windows_hann_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_signal_windows_nuttall_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_signbit_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_sinc_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_softmax_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_bessel_j1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_i1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_stack_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_std_unbiased_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_tan_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_topk_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_torch_ops_aten__efficient_attention_forward_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_torch_ops_aten__flash_attention_forward_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_transpose_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_trapezoid_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_unique_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_zeros_cpu, test/test_ops.py::TestCommonCPU::test_errors___radd___cpu, test/test_ops.py::TestCommonCPU::test_errors_amax_cpu, test/test_ops.py::TestCommonCPU::test_errors_bitwise_or_cpu, test/test_ops.py::TestCommonCPU::test_errors_dot_cpu, test/test_ops.py::TestCommonCPU::test_errors_dsplit_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_fftn_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_ihfft2_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_ihfft_cpu, test/test_ops.py::TestCommonCPU::test_errors_fft_ihfftn_cpu, test/test_ops.py::TestCommonCPU::test_errors_flipud_cpu, test/test_ops.py::TestCommonCPU::test_errors_fmax_cpu, test/test_ops.py::TestCommonCPU::test_errors_histogramdd_cpu, test/test_ops.py::TestCommonCPU::test_errors_index_add_cpu, test/test_ops.py::TestCommonCPU::test_errors_kthvalue_cpu, test/test_ops.py::TestCommonCPU::test_errors_linalg_lstsq_grad_oriented_cpu, test/test_ops.py::TestCommonCPU::test_errors_linspace_tensor_overload_cpu, test/test_ops.py::TestCommonCPU::test_errors_logical_and_cpu, test/test_ops.py::TestCommonCPU::test_errors_lt_cpu, test/test_ops.py::TestCommonCPU::test_errors_maximum_cpu, test/test_ops.py::TestCommonCPU::test_errors_min_binary_cpu, test/test_ops.py::TestCommonCPU::test_errors_narrow_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_avg_pool3d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_conv3d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_margin_ranking_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_rms_norm_cpu, test/test_ops.py::TestCommonCPU::test_errors_ormqr_cpu, test/test_ops.py::TestCommonCPU::test_errors_scatter_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_bartlett_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_blackman_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_hamming_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_kaiser_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_mul_layout1_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_randn_like_layout1_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_randn_like_layout2_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_zeros_like_layout1_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_shifted_chebyshev_polynomial_v_cpu, test/test_ops.py::TestCommonCPU::test_errors_tril_cpu, test/test_ops.py::TestCommonCPU::test_errors_vdot_cpu, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addmm_decomposed_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_arange_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_clamp_max_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_column_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cosh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_empty_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_rfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_rfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_gather_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_geqrf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ldexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lerp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_eigvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_matrix_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_multi_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_pinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log10_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log1p_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logical_or_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nextafter_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_norm_fro_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ormqr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_renorm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_erfcx_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmv_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_alias_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argsort_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bernoulli_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bincount_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_and_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_left_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bucketize_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bucketize_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cartesian_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cartesian_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdouble_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_char_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cholesky_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_max_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_combinations_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_conj_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cummin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagflat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_digamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_digamma_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_permuted_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_erfc_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expm1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifft_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_float_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_floor_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gradient_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_hypot_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_inner_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isposinf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_inv_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_pinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_tensorinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_tensor_overload_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_or_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lu_unpack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mH_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_var_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_var_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_matmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_matrix_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_min_reduction_with_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_movedim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mv_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_narrow_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_empty_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_ones_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_cosine_embedding_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_elu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_constant_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nonzero_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_outer_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_permute_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_3_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_put_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rad2deg_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_reciprocal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_remainder_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_repeat_interleave_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_resolve_neg_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rsqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_amax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_searchsorted_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_select_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_cosine_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_hann_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_multiple_devices_square_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_squeeze_multiple_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_std_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_t_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tensor_split_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_trace_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_trace_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_transpose_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_l1_loss_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_linear_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_constant_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_reflect_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_replicate_negative_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pairwise_distance_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_relu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softsign_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_threshold_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_normal_number_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_outer_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_pca_lowrank_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_pow_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rand_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ravel_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_repeat_interleave_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resize__cpu_int64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_var_unbiased_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_vdot_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_view_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_xlogy_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_zeros_like_cpu_complex64, test/test_ops.py::TestCommonCPU::test_numpy_ref_aminmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_argwhere_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_equal_cpu_float64, test/test_ops.py::TestCommonCPU::test_numpy_ref_equal_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_item_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_jiterator_2inputs_2outputs_cpu_complex128, test/test_ops.py::TestCommonCPU::test_numpy_ref_linalg_cross_cpu_int64, test/test_ops.py::TestCommonCPU::test_numpy_ref_linalg_tensorsolve_cpu_complex128, 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test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_float_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_fmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_frexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_inner_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_lerp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_eigh_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_pinv_hermitian_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_slogdet_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linalg_solve_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_linspace_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_logcumsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_masked_select_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_mm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_mm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_mv_cpu_complex64, 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test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_narrow_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_ne_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_new_ones_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_reciprocal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_roll_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sgn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sin_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sinc_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_square_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sum_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_t_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_take_along_dim_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unbind_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unfold_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unsqueeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_abs_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_argwhere_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_as_strided_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_conj_physical_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_constant_pad_nd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_dstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_einsum_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_eq_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_hfftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_ifftshift_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_flip_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fliplr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_put_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_jiterator_2inputs_2outputs_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_diagonal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_ldl_factor_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_ldl_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lstsq_grad_oriented_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_matrix_power_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_matrix_rank_hermitian_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_multi_dot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_tensorinv_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_vecdot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logaddexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_matmul_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_normalize_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_replicate_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_replicate_negative_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pixel_unshuffle_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_real_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_t_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tril_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_true_divide_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unbind_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unflatten_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_vdot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_zero__cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_T_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___rdiv___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___rmul___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_bfloat16_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_double_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_int_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_abs_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_addr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_any_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_as_strided_partial_views_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atleast_1d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_cat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_cumprod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_cumsum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diag_embed_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diagonal_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_empty_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_fft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_ifftshift_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_hstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isclose_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_lerp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logical_and_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logical_or_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logical_xor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_meshgrid_variadic_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_pow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_prod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_renorm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_special_log_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_t_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unbind_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unsqueeze_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_var_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_var_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_add_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addcdiv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_allclose_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_as_strided_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_as_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bool_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_char_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diag_embed_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dist_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_exp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expand_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_irfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_put_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_cross_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_pinv_singular_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_vector_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_not_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lu_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_cumprod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_matmul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_movedim_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ne_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_new_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resolve_neg_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_rsqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_split_list_args_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_std_unbiased_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sum_to_size_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_t_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_take_along_dim_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tile_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_to_sparse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_transpose_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_transpose_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_triangular_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unfold_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zeros_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_contiguous_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_count_nonzero_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_div_no_rounding_mode_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_div_trunc_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_exp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_expm1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_hfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_rfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_flipud_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_floor_divide_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_igammac_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_lgamma_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_vector_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_meshgrid_variadic_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_gelu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_margin_ranking_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_softshrink_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_normal__in_place_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_normal_number_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_pow_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_rad2deg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_renorm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_repeat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_entr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sqrt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sub_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tanh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_trace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_transpose_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_transpose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_view_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_xlogy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_zeros_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addbmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_allclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_angle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_char_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_clamp_min_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_combinations_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_conj_physical_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cumprod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diagonal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diff_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_permuted_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_exponential_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ihfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fmin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_frac_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_frexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_hstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_igamma_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_add_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_reduce_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_int_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_unary_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_kthvalue_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lgamma_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_cholesky_ex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_inv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_inv_ex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lu_factor_ex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_long_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_argmin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_select_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_min_reduction_with_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mode_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nanmean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_cross_entropy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_ctc_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_embedding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_fractional_max_pool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_hardswish_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_hardtanh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_nll_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_normalize_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_replicate_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pairwise_distance_cpu_float64, 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test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_randn_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_nuttall_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_take_along_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_transpose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unique_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_zeros_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_and_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_not_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_broadcast_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cholesky_inverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addcmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addmv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_alias_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_ceil_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ihfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_frac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_ldexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lerp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_matrix_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_prelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_ormqr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_pow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___radd___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addcdiv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_baddbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_broadcast_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cartesian_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_ceil_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_column_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_combinations_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cov_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_erfc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_flatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_float_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_grid_sampler_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_hstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_ldexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_householder_product_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_log1p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_maximum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_threshold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_squeeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unsqueeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_view_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cummin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diag_embed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_fftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_hfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ihfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_full_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lerp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eigh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polar_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_pow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_renorm_cpu_float32, 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test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randn_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_searchsorted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_entr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_transpose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unravel_index_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_bool, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_bool, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_bool, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_uint8, test/test_ops.py::TestTagsCPU::test_tags_T_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags___rdiv___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags___ror___cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_bfloat16_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_char_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_bitwise_or_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_broadcast_shapes_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_chunk_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_diag_embed_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_diagonal_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_equal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_expand_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_fftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_hfft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_rfft_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fmin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_heaviside_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_hypot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linalg_vector_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logaddexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logical_not_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logical_xor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logsumexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_lt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_movedim_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_mul_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_permute_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_randn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_ravel_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_rot90_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_rsqrt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sinc_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_std_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_take_along_dim_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_tril_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_true_divide_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_unsqueeze_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_view_as_complex_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_view_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_where_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_addcdiv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_amax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_amin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_argwhere_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_atan_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_atanh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cholesky_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_combinations_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_conj_physical_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cumsum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_diagflat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_diff_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_dsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_einsum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_empty_strided_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_erf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_expand_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_expm1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_hfft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_rfft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fill_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_flatten_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_frac_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_gcd_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_hsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_hypot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_igamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_put_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_index_reduce_amin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_jiterator_binary_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_inv_ex_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_lu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_lu_factor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_vecdot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_vector_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linspace_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logaddexp2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logical_xor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_median_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nan_to_num_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nansum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_new_zeros_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_permute_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_positive_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_rad2deg_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_repeat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_add_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sigmoid_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signbit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_i1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_i1e_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_xlog1py_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_std_mean_unbiased_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_svd_lowrank_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unfold_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_unique_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_var_cpu_float32 2025-07-17T08:43:19.7175213Z 2025-07-17T08:43:22.6132834Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:43:22.6135750Z import pkg_resources 2025-07-17T08:43:22.7497532Z Running inductor/test_compile_worker 1/1 ... [2025-07-17 08:43:22.749275] 2025-07-17T08:43:22.7498521Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:43:22.7502463Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_compile_worker.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:43:22.749816] 2025-07-17T08:43:23.2184940Z 2025-07-17T08:43:23.2186487Z inductor/test_best_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_best_config_1.1_84377abb95b0e2c7_.log 2025-07-17T08:43:23.2187673Z 2025-07-17T08:43:27.5049620Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:43:27.5052633Z import pkg_resources 2025-07-17T08:43:27.6970067Z Running test_ops_jit 1/2 ... [2025-07-17 08:43:27.696540] 2025-07-17T08:43:27.6970845Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:43:27.6973967Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_jit.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:43:27.697053] 2025-07-17T08:43:30.0470042Z 2025-07-17T08:43:30.0471441Z inductor/test_compile_worker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_worker_1.1_0af3bf70c8fe55fa_.log 2025-07-17T08:43:30.0472619Z 2025-07-17T08:43:33.5961389Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:43:33.5965065Z import pkg_resources 2025-07-17T08:43:33.7231817Z Running inductor/test_triton_wrapper 1/1 ... [2025-07-17 08:43:33.722679] 2025-07-17T08:43:33.7233201Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:43:33.7240148Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:43:33.723075] 2025-07-17T08:43:40.4553639Z 2025-07-17T08:43:40.4555117Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_cdb0fa866b778c2d_.log 2025-07-17T08:43:40.4555898Z 2025-07-17T08:43:43.7058687Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:43:43.7061885Z import pkg_resources 2025-07-17T08:43:43.8358838Z Running inductor/test_aot_inductor_package 1/1 ... [2025-07-17 08:43:43.834851] 2025-07-17T08:43:43.8359735Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:43:43.8361692Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_aot_inductor_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:43:43.835279] 2025-07-17T08:43:52.2482916Z 2025-07-17T08:43:52.2484748Z inductor/test_aot_inductor_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_aot_inductor_package_1.1_eeaaee35146eca00_.log 2025-07-17T08:43:52.2490360Z 2025-07-17T08:43:56.6195808Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:43:56.6198830Z import pkg_resources 2025-07-17T08:43:56.8296051Z Running inductor/test_move_constructors_to_cuda 1/1 ... [2025-07-17 08:43:56.829047] 2025-07-17T08:43:56.8296988Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:43:56.8308742Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_move_constructors_to_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:43:56.830348] 2025-07-17T08:44:06.3681911Z 2025-07-17T08:44:06.3683223Z inductor/test_move_constructors_to_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_cuda_1.1_b2cafeb57e720ac5_.log 2025-07-17T08:44:06.3684144Z 2025-07-17T08:44:10.0279567Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:44:10.0282656Z import pkg_resources 2025-07-17T08:44:10.1753043Z Running inductor/test_async_compile 1/1 ... [2025-07-17 08:44:10.174859] 2025-07-17T08:44:10.1753903Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:44:10.1756256Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_async_compile.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:44:10.175222] 2025-07-17T08:44:18.9902561Z 2025-07-17T08:44:18.9904294Z inductor/test_async_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_async_compile_1.1_c97f8c0bfadda348_.log 2025-07-17T08:44:18.9905720Z 2025-07-17T08:44:22.8473306Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:44:22.8476239Z import pkg_resources 2025-07-17T08:44:22.9782960Z Running dynamo/test_skip_non_tensor 1/1 ... [2025-07-17 08:44:22.977777] 2025-07-17T08:44:22.9784624Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:44:22.9786686Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_skip_non_tensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:44:22.978174] 2025-07-17T08:44:26.4657138Z 2025-07-17T08:44:26.4658872Z dynamo/test_skip_non_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_skip_non_tensor_1.1_418f13e955c6e435_.log 2025-07-17T08:44:26.4660624Z 2025-07-17T08:44:29.5631875Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:44:29.5635351Z import pkg_resources 2025-07-17T08:44:29.6938875Z Running inductor/test_torchinductor 1/1 ... [2025-07-17 08:44:29.693248] 2025-07-17T08:44:29.6940251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:44:29.6942559Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_torchinductor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:44:29.693667] 2025-07-17T08:44:37.1107306Z 2025-07-17T08:44:37.1108905Z inductor/test_torchinductor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_1.1_32050b9a5cd88c39_.log 2025-07-17T08:44:37.1110432Z 2025-07-17T08:44:40.9672979Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:44:40.9675804Z import pkg_resources 2025-07-17T08:44:41.1670329Z Running dynamo/test_buffers_override 1/1 ... [2025-07-17 08:44:41.166521] 2025-07-17T08:44:41.1671384Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:44:41.1674557Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_buffers_override.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:44:41.167120] 2025-07-17T08:44:46.1496260Z 2025-07-17T08:44:46.1497831Z dynamo/test_buffers_override 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_buffers_override_1.1_10139f56ff7e1bac_.log 2025-07-17T08:44:46.1499369Z 2025-07-17T08:44:51.0539820Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:44:51.0542779Z import pkg_resources 2025-07-17T08:44:51.1851586Z Running dynamo/test_resume 1/1 ... [2025-07-17 08:44:51.184209] 2025-07-17T08:44:51.1852096Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:44:51.1853313Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_resume.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:44:51.184679] 2025-07-17T08:44:54.5729005Z 2025-07-17T08:44:54.5730270Z dynamo/test_resume 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_resume_1.1_1f3d65a011e481b9_.log 2025-07-17T08:44:54.5731308Z 2025-07-17T08:44:58.4866330Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:44:58.4870020Z import pkg_resources 2025-07-17T08:44:58.6147414Z Running inductor/test_coordinate_descent_tuner 1/1 ... [2025-07-17 08:44:58.614310] 2025-07-17T08:44:58.6148453Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:44:58.6150776Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_coordinate_descent_tuner.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:44:58.614682] 2025-07-17T08:45:06.1887687Z 2025-07-17T08:45:06.1889646Z inductor/test_coordinate_descent_tuner 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_coordinate_descent_tuner_1.1_d8d77f9b65af926b_.log 2025-07-17T08:45:06.1891141Z 2025-07-17T08:45:09.5404865Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:45:09.5407884Z import pkg_resources 2025-07-17T08:45:09.6658924Z Running inductor/test_combo_kernels 1/1 ... [2025-07-17 08:45:09.665516] 2025-07-17T08:45:09.6659684Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:45:09.6661648Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_combo_kernels.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:45:09.665879] 2025-07-17T08:45:17.2609528Z 2025-07-17T08:45:17.2611142Z inductor/test_combo_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_combo_kernels_1.1_ff3f518511fdbcb4_.log 2025-07-17T08:45:17.2612675Z 2025-07-17T08:45:20.9395662Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:45:20.9398552Z import pkg_resources 2025-07-17T08:45:21.1744887Z Running test_proxy_tensor 2/2 ... [2025-07-17 08:45:21.174032] 2025-07-17T08:45:21.1745725Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:45:21.1753259Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_proxy_tensor.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:45:21.174926] 2025-07-17T08:48:13.4778207Z 2025-07-17T08:48:13.4779486Z test_ops 7/8 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_7.8_e4fc24052c4ac089_.log 2025-07-17T08:48:13.7757919Z Running 4287 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rxor___cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_double_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_addcmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_as_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_contiguous_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_empty_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_flipud_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_narrow_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_trace_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_vdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_as_strided_partial_views_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_atleast_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_atleast_3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_chalf_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_char_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cholesky_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_column_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_constant_pad_nd_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cummax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_dsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_flipud_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_index_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_istft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_eigvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_logdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_mT_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_masked_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_multinomial_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_permute_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_rot90_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_split_list_args_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_unfold_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_unique_consecutive_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_view_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing___getitem___cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing__chunk_cat_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_add_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_atleast_2d_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_char_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_empty_like_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_fft_fftshift_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_imag_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_index_add_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_index_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_index_fill_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_masked_fill_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_narrow_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_narrow_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_ones_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_randn_like_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_ravel_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_reshape_as_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_roll_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_split_with_sizes_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_transpose_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_unfold_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_where_cpu_complex32, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_half_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_int_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_long_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_polar_cpu, test/test_ops.py::TestCommonCPU::test_dtypes__refs__conversions_short_cpu, 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test/test_ops.py::TestCommonCPU::test_dtypes_contiguous_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cos_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_cumulative_trapezoid_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_diagonal_scatter_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_div_floor_rounding_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_empty_strided_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_erf_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_erfinv_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_exp2_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_expand_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_exponential_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_full_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_igamma_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_index_select_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_inner_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_isin_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_istft_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_jiterator_binary_return_by_ref_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_cholesky_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_cross_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_householder_product_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_ldl_factor_ex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_lu_factor_ex_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linalg_vecdot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_linspace_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_logical_not_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_logical_xor_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_long_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_lu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_mH_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_normalize_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_std_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_masked_sum_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_matmul_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_maximum_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_median_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_meshgrid_list_of_tensors_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_multinomial_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_mvlgamma_mvlgamma_p_5_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_native_layer_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_new_zeros_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_avg_pool1d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_conv2d_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_cosine_similarity_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_elu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_embedding_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_hardsigmoid_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_hinge_embedding_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_interpolate_area_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_interpolate_nearest-exact_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_linear_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_max_unpool2d_grad_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_multi_head_attention_forward_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_one_hot_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_pad_reflect_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_poisson_nll_loss_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_prelu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_rms_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_scaled_dot_product_attention_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_selu_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_nn_functional_softshrink_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_norm_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_normal_in_place_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_ones_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_ones_like_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_polygamma_polygamma_n_1_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_randn_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_repeat_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_roll_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_signal_windows_exponential_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_i1e_cpu, test/test_ops.py::TestCommonCPU::test_dtypes_special_scaled_modified_bessel_k1_cpu, 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test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ge_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_heaviside_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_max_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nan_to_num_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nanmean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_permute_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_pow_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_quantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sinc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_log_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tensordot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tril_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_xlogy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rdiv___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__chunk_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_put_accumulate_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_abs_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_all_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_angle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_arange_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_arange_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argwhere_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_asin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_shapes_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_min_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_column_stack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_corrcoef_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cov_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cross_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cummin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diag_embed_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_floor_rounding_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_equal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_erfc_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_exp2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_full_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_gcd_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ge_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gradient_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_grid_sampler_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_histogramdd_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_add_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_mean_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isclose_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isinf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isnan_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isreal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_le_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log10_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_xor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_binary_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_maximum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_minimum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mul_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanmean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_full_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_bilinear_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_celu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_channel_shuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_norm_inf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_permute_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rad2deg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_resize__cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_resolve_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_roll_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rot90_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rsqrt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scalar_tensor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_airy_ai_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i0e_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i1e_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_laguerre_polynomial_l_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_zeta_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_split_with_sizes_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sqrt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_squeeze_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sub_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_take_along_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_take_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_tensor_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_topk_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_transpose_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_trunc_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unflatten_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_unique_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_unsafe_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_var_mean_unbiased_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_vstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_H_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values___rdiv___cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values__chunk_cat_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values__unsafe_masked_index_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_alias_copy_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_any_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_as_strided_scatter_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_atanh_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_atleast_2d_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_block_diag_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_cdouble_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_clamp_min_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_constant_pad_nd_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_cummax_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_cummin_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_diagonal_scatter_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_div_no_rounding_mode_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_empty_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_empty_permuted_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_empty_strided_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_fftshift_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_hfft_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_ihfft2_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_irfft2_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_fft_rfftn_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_flip_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_isfinite_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_isnan_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_isneginf_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_log10_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_masked_scatter_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_max_binary_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_max_reduction_no_dim_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_meshgrid_variadic_tensors_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_mode_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_new_empty_strided_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_new_full_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_new_zeros_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_permute_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_repeat_interleave_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_reshape_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_scatter_reduce_prod_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_short_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_sin_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_bessel_y0_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_i1e_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_legendre_polynomial_p_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_modified_bessel_k0_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_special_zeta_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_squeeze_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_sum_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_sum_to_size_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_tan_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_triu_cpu_bool, test/test_ops.py::TestCommonCPU::test_non_standard_bool_values_unsafe_split_cpu_bool, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples___rmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples___rpow___cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples___rsub___cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples___rsub___cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_acos_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_acos_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_acosh_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_acosh_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_addmm_decomposed_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_all_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_asinh_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_atan_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_atleast_1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_baddbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_baddbmm_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_bincount_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_broadcast_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_broadcast_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_bucketize_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cartesian_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cat_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cdouble_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_chalf_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_char_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_clone_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_combinations_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_conj_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_corrcoef_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cross_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumsum_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagflat_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dist_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_double_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_einsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_strided_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_equal_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_erfinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_expm1_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifft2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_ifft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_irfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_rfft2_cpu_float32, 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test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log1p_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_meshgrid_list_of_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_movedim_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_channel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_pixel_unshuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_permute_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_positive_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_roll_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_rsqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_rsub_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_square_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_squeeze_multiple_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_vsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_abs_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmm_decomposed_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_all_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atleast_1d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bfloat16_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_block_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cholesky_inverse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_column_stack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_combinations_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_corrcoef_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cov_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cross_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagflat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_exp2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expm1_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_hfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_flipud_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_half_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_hsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_binary_return_by_ref_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_factor_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_tensorsolve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_vander_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log10_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_long_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mT_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv_transpose1d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_l1_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_linear_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pinverse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_repeat_interleave_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_reshape_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resize_as__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_scalar_tensor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_square_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_take_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tensor_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tril_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_triu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsqueeze_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_as_real_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zero__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zeros_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view___rmod___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rmul___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__native_batch_norm_legit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_bfloat16_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_char_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_double_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_half_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_addcmul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_alias_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_as_strided_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_block_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_conj_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_constant_pad_nd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diagonal_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_eq_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_fft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fmod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_hypot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_select_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_svdvals_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log1p_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logical_and_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_meshgrid_list_of_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_celu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_pixel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_randn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_real_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_reciprocal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sinc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_erfcx_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_logit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_squeeze_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_t_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vdot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__unsafe_masked_index_put_accumulate_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_alias_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_broadcast_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_byte_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cartesian_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ceil_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_conj_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_constant_pad_nd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_div_no_rounding_mode_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_double_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_rfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fmod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_full_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ge_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_half_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_histogramdd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isfinite_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_binary_return_by_ref_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_det_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eigvals_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_ldl_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lu_factor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_vander_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mH_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_amax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_argmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_cumprod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_sum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_var_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_reduction_no_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_minimum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_msort_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_multinomial_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nan_to_num_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_narrow_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_native_dropout_backward_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_neg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_avg_pool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_huber_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_instance_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_linear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_nearest_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_logsigmoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_unpool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pixel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_selu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_upsample_bilinear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_upsample_nearest_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_permute_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_4_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_rand_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_randint_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_renorm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_round_decimals_neg_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_rsub_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scalar_tensor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scatter_reduce_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sgn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_exponential_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_gaussian_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_general_cosine_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_j0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_j1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_y1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_chebyshev_polynomial_v_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_i1e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_scaled_modified_bessel_k1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_std_mean_unbiased_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_to_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_trunc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_unbind_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_view_as_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_view_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_where_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_xlogy_cpu_float64, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_addcmul_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_alias_copy_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_atan__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_atanh_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_bitwise_or_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_block_diag_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_ceil__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_clamp_max_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_clone_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_conj_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_contiguous_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_cos_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_diagonal_scatter_cpu, 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test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_igamma__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_imag_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_lcm__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_logaddexp_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_logspace_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_neg__cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_new_full_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_nn_functional_channel_shuffle_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_nn_functional_hinge_embedding_loss_cpu, test/test_ops.py::TestRefsOpsInfoCPU::test_refs_are_in_decomp_table_op__refs_normal_cpu, 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test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rmod___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addmv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atleast_1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atleast_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cfloat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cholesky_inverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clamp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clamp_min_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diag_embed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expand_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softplus_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_permuted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_float_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gcd_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isreal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log10_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_and_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nextafter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_normal_in_place_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randn_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_roll_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_short_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signbit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_triu_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rpow___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rsub___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__softmax_backward_data_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_acos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_and_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_heaviside_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_and_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_long_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ne_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_normal_in_place_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ones_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randint_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ravel_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scalar_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int16, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_float_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_half_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_polar_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_short_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_abs_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_acos_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_all_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_amax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_partial_views_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_bitwise_xor_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_broadcast_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_conj_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cumsum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_digamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_div_floor_rounding_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_dot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_expand_as_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_fftshift_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_hfft_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_irfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_flipud_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_floor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fmax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_frexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_index_add_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isclose_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isinf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isnan_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linspace_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_masked_fill_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_narrow_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_narrow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_elu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_prelu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_selu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_normal_number_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_positive_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_pow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_rad2deg_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_repeat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_reshape_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_round_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_rsub_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sinh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_bessel_j0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_erfcx_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_i1e_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_log_ndtr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sub_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_tanh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_triu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_triu_indices_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_xlogy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_as_strided_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_bincount_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags_cauchy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cdist_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_ceil_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_clamp_max_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_clone_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_constant_pad_nd_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_cross_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_digamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_erfinv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_expand_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_hfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_ifftshift_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_fft_irfft_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_float_power_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_geometric_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_gt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_heaviside_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_i0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_inner_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_isclose_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_isposinf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_item_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_lgamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_cross_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_eigh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_linalg_lu_solve_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_logical_and_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_long_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_amin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_cumsum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_std_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_masked_sum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_multinomial_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_narrow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_gelu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_glu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_prelu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_softmin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nn_functional_threshold_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_nonzero_static_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_permute_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_pow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_prod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_randint_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scalar_tensor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sgn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_cosine_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_signal_windows_hann_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_squeeze_multiple_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_sub_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_take_along_dim_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_tensor_split_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_topk_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_trace_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_transpose_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags_vstack_cpu_float32 2025-07-17T08:48:14.0439957Z 2025-07-17T08:48:18.2606207Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:48:18.2609280Z import pkg_resources 2025-07-17T08:48:18.4638877Z Running inductor/test_minifier_utils 1/1 ... [2025-07-17 08:48:18.463412] 2025-07-17T08:48:18.4721754Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:48:18.4726916Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_minifier_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:48:18.472324] 2025-07-17T08:48:29.9713112Z 2025-07-17T08:48:29.9715066Z inductor/test_minifier_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_utils_1.1_029b46425505685a_.log 2025-07-17T08:48:29.9720885Z Running 3 items in this shard: test/inductor/test_minifier_utils.py::MinifierUtilsTests::test_convert_module_to_string, test/inductor/test_minifier_utils.py::MinifierUtilsTests::test_invalid_output, test/inductor/test_minifier_utils.py::MinifierUtilsTests::test_non_exportable 2025-07-17T08:48:29.9723511Z 2025-07-17T08:48:34.5795737Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:48:34.5798901Z import pkg_resources 2025-07-17T08:48:34.7918385Z Running dynamo/test_modules 1/1 ... [2025-07-17 08:48:34.791372] 2025-07-17T08:48:34.7919447Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:48:34.7923826Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:48:34.791919] 2025-07-17T08:48:43.0958118Z 2025-07-17T08:48:43.0959731Z dynamo/test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modules_1.1_29ce761a1a8518d6_.log 2025-07-17T08:48:43.0965476Z 2025-07-17T08:48:47.4040070Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:48:47.4043160Z import pkg_resources 2025-07-17T08:48:47.6148604Z Running inductor/test_kernel_optimization 1/1 ... [2025-07-17 08:48:47.614397] 2025-07-17T08:48:47.6153503Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:48:47.6155835Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_kernel_optimization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:48:47.614867] 2025-07-17T08:48:56.4058304Z 2025-07-17T08:48:56.4060402Z inductor/test_kernel_optimization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_optimization_1.1_9e03c610ffa69687_.log 2025-07-17T08:48:56.4146210Z 2025-07-17T08:49:00.0582725Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:49:00.0586439Z import pkg_resources 2025-07-17T08:49:00.1891046Z Running dynamo/test_sdpa 1/1 ... [2025-07-17 08:49:00.188681] 2025-07-17T08:49:00.1892132Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:49:00.1895073Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_sdpa.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:49:00.189103] 2025-07-17T08:49:04.1080882Z 2025-07-17T08:49:04.1082429Z dynamo/test_sdpa 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sdpa_1.1_30331f5303efe9a6_.log 2025-07-17T08:49:04.1083926Z 2025-07-17T08:49:08.4743637Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:49:08.4745897Z import pkg_resources 2025-07-17T08:49:08.6789709Z Running inductor/test_foreach 1/1 ... [2025-07-17 08:49:08.678421] 2025-07-17T08:49:08.6790520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:49:08.6797733Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_foreach.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:49:08.678883] 2025-07-17T08:49:18.2864336Z 2025-07-17T08:49:18.2865575Z inductor/test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_foreach_1.1_3d9dbcb560a3bc43_.log 2025-07-17T08:49:18.2866692Z 2025-07-17T08:49:22.3985216Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:49:22.3992247Z import pkg_resources 2025-07-17T08:49:22.5847312Z Running dynamo/test_utils 1/1 ... [2025-07-17 08:49:22.584057] 2025-07-17T08:49:22.5848050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:49:22.5854428Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:49:22.584486] 2025-07-17T08:49:25.9164628Z 2025-07-17T08:49:25.9166188Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_d5404ffeedad3754_.log 2025-07-17T08:49:25.9167322Z 2025-07-17T08:49:27.2706504Z Uploading artifacts took 1.35 seconds 2025-07-17T08:49:29.3437825Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:49:29.3440830Z import pkg_resources 2025-07-17T08:49:29.5201100Z Running dynamo/test_frame_init 1/1 ... [2025-07-17 08:49:29.519202] 2025-07-17T08:49:29.5201965Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:49:29.5204149Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_frame_init.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:49:29.519630] 2025-07-17T08:49:33.1830124Z 2025-07-17T08:49:33.1831673Z dynamo/test_frame_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_frame_init_1.1_6a6ff852e35e2b2c_.log 2025-07-17T08:49:33.1832823Z 2025-07-17T08:49:37.0094926Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:49:37.0097658Z import pkg_resources 2025-07-17T08:49:37.1799855Z Running profiler/test_kineto 1/1 ... [2025-07-17 08:49:37.179535] 2025-07-17T08:49:37.1800702Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:49:37.1802866Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_kineto.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:49:37.179897] 2025-07-17T08:49:40.7501129Z 2025-07-17T08:49:40.7502810Z profiler/test_kineto 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_kineto_1.1_435f58af67c7a511_.log 2025-07-17T08:49:40.7505452Z Running 1 items in this shard: test/profiler/test_kineto.py::SimpleKinetoInitializationTest::test_kineto_profiler_with_environment_variable 2025-07-17T08:49:40.7506918Z 2025-07-17T08:49:44.3553962Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:49:44.3556986Z import pkg_resources 2025-07-17T08:49:44.4836963Z Running test_fx_experimental 1/1 ... [2025-07-17 08:49:44.482997] 2025-07-17T08:49:44.4837795Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:49:44.4839945Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx_experimental.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:49:44.483413] 2025-07-17T08:51:10.6716570Z 2025-07-17T08:51:10.6717925Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_1f20cb178b4c57d8_.log 2025-07-17T08:51:10.7366453Z Running 721 items in this shard: test/test_fx_experimental.py::TestFXExperimental::test_annotate_getitem_node, test/test_fx_experimental.py::TestFXExperimental::test_annotate_returns_with_schema, test/test_fx_experimental.py::TestFXExperimental::test_aot_based_partition, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_no_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_empty_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_multiline_message, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion_mixed_dtype, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion_not_running_state, test/test_fx_experimental.py::TestFXExperimental::test_cost_aware_partition, test/test_fx_experimental.py::TestFXExperimental::test_fetch, test/test_fx_experimental.py::TestFXExperimental::test_find_single_partition, test/test_fx_experimental.py::TestFXExperimental::test_lack_of_devices, test/test_fx_experimental.py::TestFXExperimental::test_large_node_error, test/test_fx_experimental.py::TestFXExperimental::test_merge_matmuls, test/test_fx_experimental.py::TestFXExperimental::test_meta_tracer, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args_perserve_type, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args_preserve_meta, test/test_fx_experimental.py::TestFXExperimental::test_normalize_binary_operators, test/test_fx_experimental.py::TestFXExperimental::test_normalize_modules_exhaustive, test/test_fx_experimental.py::TestFXExperimental::test_optimize_for_inference_cpu, test/test_fx_experimental.py::TestFXExperimental::test_optimize_for_inference_cpu_torchvision, test/test_fx_experimental.py::TestFXExperimental::test_partition_device_mapping, test/test_fx_experimental.py::TestFXExperimental::test_partition_latency, test/test_fx_experimental.py::TestFXExperimental::test_partition_node_manipulation, test/test_fx_experimental.py::TestFXExperimental::test_replace_target_nodes_with, test/test_fx_experimental.py::TestFXExperimental::test_saturate_host, test/test_fx_experimental.py::TestFXExperimental::test_size_based_partition, test/test_fx_experimental.py::TestFXExperimental::test_sparse_nn_partition, test/test_fx_experimental.py::TestFXExperimental::test_split_module_dead_code, test/test_fx_experimental.py::TestFXExperimental::test_split_module_default_arg, test/test_fx_experimental.py::TestFXExperimental::test_split_module_input_names, test/test_fx_experimental.py::TestFXExperimental::test_split_module_keep_original_order_and_noop_graph, test/test_fx_experimental.py::TestFXExperimental::test_split_module_kwargs_expansion, test/test_fx_experimental.py::TestFXExperimental::test_split_module_return_node, test/test_fx_experimental.py::TestFXExperimental::test_split_qualname_mapping, test/test_fx_experimental.py::TestFXExperimental::test_subgraph_creation, test/test_fx_experimental.py::TestFXExperimental::test_subgraph_trivial_resnet, test/test_fx_experimental.py::TestFXExperimental::test_subgraph_uniquename, test/test_fx_experimental.py::TestFXExperimental::test_to_folder, test/test_fx_experimental.py::TestFXExperimental::test_traceable_function_with_nonstandard_name, test/test_fx_experimental.py::TestFXExperimental::test_type_matches, test/test_fx_experimental.py::TestTranslationValidation::test_sat, test/test_fx_experimental.py::TestTranslationValidation::test_sat_bitwise, test/test_fx_experimental.py::TestTranslationValidation::test_sympy_to_z3, test/test_fx_experimental.py::TestTranslationValidation::test_unsat, test/test_fx_experimental.py::TestTranslationValidation::test_z3str, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_args_op_overload_cpu, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_H_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_T_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___getitem___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___radd___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rdiv___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rmatmul___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rmod___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rmul___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rpow___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive___rsub___cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__batch_norm_with_update_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__chunk_cat_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__native_batch_norm_legit_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__segment_reduce_lengths_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__segment_reduce_offsets_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__softmax_backward_data_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__unsafe_masked_index_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_abs_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_acos_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_acosh_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_add_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_addbmm_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_addcdiv_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_addcmul_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_addmm_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_addmm_decomposed_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_addmv_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_addr_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_alias_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_all_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_allclose_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_amax_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_amin_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_aminmax_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_angle_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_any_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_arange_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_argmax_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_argmin_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_argsort_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_argwhere_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_as_strided_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_as_strided_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_as_strided_partial_views_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_as_strided_scatter_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_asin_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_asinh_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_atan2_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_atan_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_atanh_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_atleast_1d_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_atleast_2d_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_atleast_3d_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_baddbmm_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_bernoulli_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_bfloat16_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_block_diag_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_bmm_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_bool_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_broadcast_shapes_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_broadcast_tensors_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_broadcast_to_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_bucketize_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_byte_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cartesian_prod_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cat_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cauchy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cdist_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cdouble_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_ceil_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cfloat_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_chalf_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_char_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cholesky_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cholesky_inverse_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cholesky_solve_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_chunk_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_clamp_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_clamp_max_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_clamp_min_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_clone_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_column_stack_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_combinations_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_complex_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_conj_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_conj_physical_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_constant_pad_nd_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_contiguous_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_copysign_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_corrcoef_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_cos_cpu_float32, 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test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unfold_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_uniform_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unique_consecutive_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unique_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsafe_chunk_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsafe_split_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsqueeze_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsqueeze_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_mean_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_mean_unbiased_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_unbiased_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_vdot_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_as_complex_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_as_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_vsplit_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_vstack_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_where_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_xlogy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_zero__cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_zeros_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_zeros_like_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_quantized_eb_cpu 2025-07-17T08:51:10.8011241Z 2025-07-17T08:51:13.9656469Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:51:13.9659268Z import pkg_resources 2025-07-17T08:51:14.0946280Z Running test_flop_counter 1/1 ... [2025-07-17 08:51:14.094184] 2025-07-17T08:51:14.0947097Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:51:14.0949854Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_flop_counter.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:51:14.094609] 2025-07-17T08:51:18.5665897Z 2025-07-17T08:51:18.5667368Z test_flop_counter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_flop_counter_1.1_72f70cf7b16ea8de_.log 2025-07-17T08:51:18.5679032Z Running 22 items in this shard: test/test_flop_counter.py::TestFlopCounter::test_addmm_out, test/test_flop_counter.py::TestFlopCounter::test_autograd_op, test/test_flop_counter.py::TestFlopCounter::test_backward, test/test_flop_counter.py::TestFlopCounter::test_backward_reset, test/test_flop_counter.py::TestFlopCounter::test_conv_backwards_as_decomposition, test/test_flop_counter.py::TestFlopCounter::test_conv_transpose_loop, test/test_flop_counter.py::TestFlopCounter::test_convs, test/test_flop_counter.py::TestFlopCounter::test_custom, test/test_flop_counter.py::TestFlopCounter::test_custom_op, test/test_flop_counter.py::TestFlopCounter::test_flop_counter_variety, test/test_flop_counter.py::TestFlopCounter::test_hook_registration, test/test_flop_counter.py::TestFlopCounter::test_inference_mode, test/test_flop_counter.py::TestFlopCounter::test_module, test/test_flop_counter.py::TestFlopCounter::test_nested_attention_fake_tensors, test/test_flop_counter.py::TestFlopCounter::test_noop, test/test_flop_counter.py::TestFlopCounter::test_op, test/test_flop_counter.py::TestFlopCounter::test_pytrees, test/test_flop_counter.py::TestFlopCounter::test_scaled_mm, test/test_flop_counter.py::TestFlopCounter::test_sdpa, test/test_flop_counter.py::TestFlopCounter::test_sdpa_nested_tensor, test/test_flop_counter.py::TestFlopCounter::test_torchscript, test/test_flop_counter.py::TestFlopCounter::test_warning 2025-07-17T08:51:18.5690831Z 2025-07-17T08:51:21.8126242Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:51:21.8129464Z import pkg_resources 2025-07-17T08:51:21.9429641Z Running test_typing 1/1 ... [2025-07-17 08:51:21.942524] 2025-07-17T08:51:21.9430392Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:51:21.9432474Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_typing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:51:21.942899] 2025-07-17T08:51:46.8996442Z 2025-07-17T08:51:46.8999471Z test_ops_jit 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_jit_1.2_db5e94b3921f27ad_.log 2025-07-17T08:51:46.9377050Z Running 596 items in this shard: test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_acos_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_asin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_atan2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_clamp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_div_trunc_rounding_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_erfinv_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_exp2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_expm1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_ge_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_i0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_igamma_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_igammac_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_lgamma_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_linalg_det_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_lt_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_matmul_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_matrix_exp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_min_binary_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_movedim_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_neg_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv_transpose1d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_conv_transpose2d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_group_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_layer_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_nn_functional_rms_norm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_outer_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_decimals_0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_round_decimals_3_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_sigmoid_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_sinc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_softmax_with_dtype_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_sub_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_tanh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_jit_alias_remapping_xlogy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_H_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_H_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_T_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___radd___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___radd___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rdiv___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmatmul___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rmod___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rpow___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rpow___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rsub___cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit___rsub___cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__chunk_cat_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__segment_reduce_offsets_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__softmax_backward_data_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__unsafe_masked_index_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit__upsample_bilinear2d_aa_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_abs_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_acosh_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_add_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addbmm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcdiv_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addcmul_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_decomposed_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmm_decomposed_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addmv_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addr_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_addr_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_alias_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_all_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_allclose_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_allclose_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_amin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_angle_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_angle_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_any_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_arange_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argmax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argmin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_argwhere_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_partial_views_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_as_strided_partial_views_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_asin_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_asinh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atan2_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atan_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atan_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_1d_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_1d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_atleast_2d_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_baddbmm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_block_diag_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bmm_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bmm_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bool_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bool_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_tensors_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_tensors_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_to_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_broadcast_to_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_bucketize_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cartesian_prod_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cat_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cdouble_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_ceil_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cfloat_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cfloat_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_chalf_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_inverse_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_inverse_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cholesky_solve_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_chunk_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_chunk_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clamp_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_clamp_max_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_column_stack_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_combinations_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_complex_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_conj_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_conj_physical_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_constant_pad_nd_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_contiguous_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_contiguous_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_copysign_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_corrcoef_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_corrcoef_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cos_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cosh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_count_nonzero_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cov_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cov_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cummax_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_cumprod_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diag_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diag_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diag_embed_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diag_embed_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagflat_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagonal_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagonal_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diagonal_scatter_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_diff_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_digamma_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dist_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_div_trunc_rounding_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dot_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_double_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dsplit_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_dstack_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_einsum_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_empty_cpu_complex64, 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test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_modified_bessel_i0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_modified_bessel_i1_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_ndtr_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_spherical_bessel_j0_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_special_xlog1py_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_list_args_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_list_args_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_with_sizes_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_with_sizes_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_split_with_sizes_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sqrt_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_square_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_squeeze_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_squeeze_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_squeeze_multiple_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_stack_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_mean_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_mean_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_std_mean_unbiased_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_stft_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sub_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sum_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_sum_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_svd_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_svd_lowrank_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_svd_lowrank_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_t_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_t_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_t_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tan_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tanh_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tanh_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tensor_split_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tile_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tile_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_to_sparse_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trace_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_transpose_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_transpose_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_transpose_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trapz_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triangular_solve_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_tril_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_triu_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_trunc_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unbind_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unbind_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unbind_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unfold_copy_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unfold_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unfold_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_uniform_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unique_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsafe_chunk_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsafe_split_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsafe_split_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_unsqueeze_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_unbiased_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_mean_unbiased_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_var_unbiased_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_as_real_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_view_copy_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_vsplit_cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_where_cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zero__cpu_complex64, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zero__cpu_float32, test/test_ops_jit.py::TestJitCPU::test_variant_consistency_jit_zeros_like_cpu_float32 2025-07-17T08:51:46.9587034Z 2025-07-17T08:51:50.1288232Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:51:50.1289871Z import pkg_resources 2025-07-17T08:51:50.2563041Z Running inductor/test_fx_fusion 1/1 ... [2025-07-17 08:51:50.255918] 2025-07-17T08:51:50.2563645Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:51:50.2566078Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fx_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:51:50.256301] 2025-07-17T08:51:54.7255031Z 2025-07-17T08:51:54.7256302Z inductor/test_fx_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fx_fusion_1.1_2d117ca5e0eac9c4_.log 2025-07-17T08:51:54.7257054Z 2025-07-17T08:51:58.2405819Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:51:58.2408943Z import pkg_resources 2025-07-17T08:51:58.3694885Z Running test_meta 1/1 ... [2025-07-17 08:51:58.369041] 2025-07-17T08:51:58.3696064Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:51:58.3700254Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_meta.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:51:58.369636] 2025-07-17T08:52:47.0990547Z 2025-07-17T08:52:47.0993384Z test_proxy_tensor 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_proxy_tensor_2.2_daf88a0167e3bc90_.log 2025-07-17T08:52:47.1881580Z Running 1833 items in this shard: test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_constant_blowup, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_decomposition_interpreter, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_empty_like_doesnt_burn_in_defaults, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_inplace_metadata, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_make_fx_model_fwd_bwd, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_mode_tracing_factory_function, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_pickle_issue89626, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_pr_86917, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_pre_dispatch_functionalization, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_pre_dispatch_linear, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_pre_dispatch_no_grad, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_proxy_tensor, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_proxy_tensor_mode_with_decomp_table_preserves_proxy, test/test_proxy_tensor.py::TestGenericProxyTensorReal::test_val_metadata_mutation, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_amp_cache, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_constant_proxy_tensor_mut, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_constant_random, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_decomp_of_capture, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_decomposition_interpreter, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_inplace_metadata, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_make_fx_model_double_param, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_make_fx_overloads, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_make_fx_reentrant_dispatch, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_make_fx_simple, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_mode_tracing_factory_function, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_pickle_issue89626, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_pre_dispatch_functionalization, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_pre_dispatch_linear, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_pre_dispatch_mode_stack, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_proxy_tensor, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_strides, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_tensor_constants, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_trace_subclasses, test/test_proxy_tensor.py::TestGenericProxyTensorFake::test_varargs, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_allclose, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_constant_blowup, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_inplace_metadata, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_isolated_graphmodule, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_make_fx_model_double_param, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_make_fx_model_fwd_bwd, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_pickle_issue89626, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_pre_dispatch_linear, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_pre_dispatch_mode_stack, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_proxy_tensor, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_proxy_tensor_mode_with_decomp_table_preserves_proxy, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_resnet18_backward_trace, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_scalar_device, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_tensor_constants, test/test_proxy_tensor.py::TestGenericProxyTensorSymbolic::test_val_metadata_mutation, test/test_proxy_tensor.py::TestFakeProxyTensor::test_alias, test/test_proxy_tensor.py::TestFakeProxyTensor::test_free_fake, test/test_proxy_tensor.py::TestFakeProxyTensor::test_issue82547, test/test_proxy_tensor.py::TestFakeProxyTensor::test_use_fake_and_tensor, test/test_proxy_tensor.py::TestSymbolicTracing::test_arange_unbacked_output_size, test/test_proxy_tensor.py::TestSymbolicTracing::test_binary_broadcast, test/test_proxy_tensor.py::TestSymbolicTracing::test_boolean_index, test/test_proxy_tensor.py::TestSymbolicTracing::test_cat, test/test_proxy_tensor.py::TestSymbolicTracing::test_cpu_scalar_cuda, test/test_proxy_tensor.py::TestSymbolicTracing::test_cumsum_unbacked, test/test_proxy_tensor.py::TestSymbolicTracing::test_deduped_shape, test/test_proxy_tensor.py::TestSymbolicTracing::test_guard_lowerbound_range_refinement_multivariate, test/test_proxy_tensor.py::TestSymbolicTracing::test_invalidate_nonzero, test/test_proxy_tensor.py::TestSymbolicTracing::test_invalidate_nonzero_propagate_real_tensors, test/test_proxy_tensor.py::TestSymbolicTracing::test_item, test/test_proxy_tensor.py::TestSymbolicTracing::test_make_fx_with_custom_tracer_preserving_nn_module_stack, test/test_proxy_tensor.py::TestSymbolicTracing::test_mod_gcd_unbacked, test/test_proxy_tensor.py::TestSymbolicTracing::test_neg_shape, test/test_proxy_tensor.py::TestSymbolicTracing::test_new_empty, test/test_proxy_tensor.py::TestSymbolicTracing::test_non_symint_size_spec, test/test_proxy_tensor.py::TestSymbolicTracing::test_reflect_r_over_x, test/test_proxy_tensor.py::TestSymbolicTracing::test_resize_from_zero, test/test_proxy_tensor.py::TestSymbolicTracing::test_rmethod, test/test_proxy_tensor.py::TestSymbolicTracing::test_size_with_tensor, test/test_proxy_tensor.py::TestSymbolicTracing::test_split_unbacked_sizes, test/test_proxy_tensor.py::TestSymbolicTracing::test_sqrt_size, test/test_proxy_tensor.py::TestSymbolicTracing::test_tensor_symfloat, test/test_proxy_tensor.py::TestSymbolicTracing::test_unbacked_batch_resnet, test/test_proxy_tensor.py::TestSymbolicTracing::test_unbacked_slice, test/test_proxy_tensor.py::TestSymbolicTracing::test_unbacked_unification, test/test_proxy_tensor.py::TestSymbolicTracing::test_unbacked_unify_dependency_violation, test/test_proxy_tensor.py::TestSymbolicTracing::test_unbacked_unify_guard, test/test_proxy_tensor.py::TestSymbolicTracing::test_view_divisibility_unbacked_relatively_prime, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_H_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_NumpyCubeCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_NumpyMulCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_NumpyMulScalarCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_NumpyNMSCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_NumpySplitCopyCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_NumpyViewCopyCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive___getitem___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive___radd___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive___rdiv___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive___rmod___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive___rmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive___rsub___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive__batch_norm_with_update_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive__chunk_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive__segment_reduce_lengths_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive__softmax_backward_data_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_acos_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_acosh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_addcdiv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_addcmul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_addr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_alias_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_angle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_any_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_arange_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_argmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_argsort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_argwhere_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_as_strided_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_as_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_asin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_asinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_atleast_1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_baddbmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_bmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_broadcast_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_bucketize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cauchy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_ceil_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_chalf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cholesky_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_chunk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_clamp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_clamp_max_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_complex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_constant_pad_nd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_contiguous_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_copysign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_corrcoef_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cos_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cov_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cummin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_cumprod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_deg2rad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_diag_embed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_diagonal_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_diagonal_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_diff_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_digamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_div_trunc_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_dot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_double_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_dstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_einsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_empty_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_empty_permuted_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_empty_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_eq_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_equal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_erf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_erfinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_exp2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_expand_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_expand_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_expm1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_fft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_fftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_hfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_hfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_ifftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_ihfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_ihfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_rfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_rfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_fft_rfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_flex_attention_backward_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_flip_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_flipud_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_floor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_gather_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_ge_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_gradient_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_grid_sampler_2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_half_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_histc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_histogram_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_hsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_igamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_igammac_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_index_reduce_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_index_reduce_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_index_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_inner_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_int_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_invoke_subgraph_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_isfinite_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_isin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_isinf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_isneginf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_isposinf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_isreal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_kthvalue_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_ldexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_le_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_lgamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_cholesky_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_cholesky_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_cross_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_eigh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_eigvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_eigvalsh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_householder_product_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_inv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_inv_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_ldl_factor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_ldl_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_lu_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_matrix_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_multi_dot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_pinv_hermitian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_slogdet_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_solve_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_svd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_svdvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_tensorsolve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linalg_vecdot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linspace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_linspace_tensor_overload_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_log10_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_log1p_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_log2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_log_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_logcumsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_logdet_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_logical_and_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_logical_not_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_logical_or_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_logit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_logspace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_logspace_tensor_overload_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_long_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_lt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_lu_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_map_nested_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_map_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_log_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_normalize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_masked_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_max_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_max_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_maximum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_min_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_min_reduction_no_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nansum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_narrow_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_native_batch_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_native_dropout_backward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_native_layer_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_ne_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_new_empty_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_new_full_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nextafter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_alpha_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_batch_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_conv2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_conv_transpose2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_ctc_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_dropout3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_elu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_embedding_bag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_gelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_glu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_grid_sample_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_hardswish_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_hardtanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_instance_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_interpolate_area_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_interpolate_bicubic_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_l1_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_layer_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_linear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_local_response_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_max_unpool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_pad_constant_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_pad_replicate_negative_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_rms_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_selu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_silu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_softshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_softsign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_tanhshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nn_functional_upsample_nearest_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_nonzero_static_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_ones_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_ormqr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_outer_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_pca_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_permute_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_pinverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_polygamma_polygamma_n_1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_rad2deg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_randint_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_randint_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_randn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_remainder_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_repeat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_resolve_neg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_roll_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_round_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_round_decimals_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_round_decimals_neg_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_rsub_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_scatter_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_scatter_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_scatter_reduce_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_scatter_reduce_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_select_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_short_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_bartlett_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_general_hamming_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_hamming_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signal_windows_hann_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_signbit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_slice_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_entr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_i0e_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_i1e_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_special_xlog1py_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_squeeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_squeeze_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_std_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_std_mean_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_std_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_stft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sub_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_svd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_t_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_take_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_tanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_tensor_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_tile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_to_sparse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_topk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_triu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_trunc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unflatten_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unfold_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unique_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unsafe_chunk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_unsafe_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_var_mean_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_var_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_view_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_view_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_vsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_while_loop_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_xlogy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_zero__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_exhaustive_zeros_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_H_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_NumpyCatCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_NumpyCubeCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_NumpyMulCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_NumpyNMSCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_NumpyNonzeroCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_NumpySortCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_NumpySplitCopyCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_NumpyTakeCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_NumpyViewCopyCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive___rdiv___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive___rmod___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive___rpow___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive__batch_norm_with_update_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive__chunk_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive__native_batch_norm_legit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive__segment_reduce_lengths_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive__segment_reduce_offsets_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_abs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_addcdiv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_addcmul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_addmv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_alias_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_allclose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_aminmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_any_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_argmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_argsort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_as_strided_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_as_strided_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_atan2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_atan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_atanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_atleast_1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_atleast_3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_baddbmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_bernoulli_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_bfloat16_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_block_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_bool_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_broadcast_shapes_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_bucketize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_byte_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cartesian_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cdist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_ceil_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cfloat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_chalf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_char_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_clamp_max_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_complex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cond_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_conj_physical_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_constant_pad_nd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_copysign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_corrcoef_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cosh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_count_nonzero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cross_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cummax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cumprod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_cumulative_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_diag_embed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_diagflat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_digamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_dist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_div_trunc_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_dot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_empty_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_empty_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_empty_permuted_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_empty_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_eq_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_equal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_erf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_erfc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_exp2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_expand_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_expand_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_expm1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_eye_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_fft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_fftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_fftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_hfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_ifftshift_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_ihfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_ihfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_irfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_irfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_rfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_rfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fft_rfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_flex_attention_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_fliplr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_float_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_frac_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_full_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_geqrf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_gradient_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_grid_sampler_2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_gt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_half_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_heaviside_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_histc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_histogram_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_histogramdd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_hstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_igamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_igammac_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_index_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_index_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_index_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_index_reduce_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_index_reduce_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_int_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_invoke_quant_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_isclose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_isinf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_isposinf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_isreal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_jiterator_unary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_kthvalue_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_ldexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_le_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_cond_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_cross_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_det_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_eig_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_householder_product_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_inv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_inv_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_lu_factor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_lu_factor_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_lu_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_matrix_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_pinv_hermitian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_solve_triangular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_vander_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_linalg_vector_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_log2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_log_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_log_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_log_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logcumsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logical_not_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logical_or_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_logspace_tensor_overload_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_long_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_lu_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_mH_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_map_triple_nested_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_softmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_masked_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_matrix_exp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_max_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_max_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_maximum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_min_reduction_no_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_minimum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_movedim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_mul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_multinomial_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nansum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_narrow_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_native_batch_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_native_layer_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_ne_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_neg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_new_empty_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_alpha_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_batch_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_celu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_channel_shuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_conv1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_conv_transpose2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_dropout3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_elu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_gelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_hardswish_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_interpolate_area_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_interpolate_bicubic_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_kl_div_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_linear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_local_response_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_logsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_unpool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_rms_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_silu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_softmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_softshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_tanhshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nn_functional_threshold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nonzero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_nonzero_static_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_norm_fro_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_normal_in_place_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_normal_number_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_ormqr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_outer_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_pinverse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_polar_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_polygamma_polygamma_n_1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_positive_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_quantile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_rand_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_randn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_ravel_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_real_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_reciprocal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_remainder_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_renorm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_reshape_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_resize__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_resolve_neg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_rot90_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_round_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_round_decimals_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_round_decimals_neg_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_rsqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_rsub_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_scatter_reduce_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_scatter_reduce_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_searchsorted_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sgn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_short_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_bartlett_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_blackman_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signal_windows_nuttall_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_signbit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sinc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_slice_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_slice_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sparse_mm_reduce_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_airy_ai_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_bessel_y0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_entr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_erfcx_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_i0e_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_i1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_i1e_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_log_ndtr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_ndtr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_special_zeta_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_split_with_sizes_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_split_with_sizes_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_squeeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_squeeze_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_squeeze_multiple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_std_mean_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_stft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_sum_to_size_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_tan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_tanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_tensordot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_to_sparse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_topk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_trace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_transpose_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_transpose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_triangular_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_triu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_trunc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unbind_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unbind_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unflatten_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unfold_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unique_consecutive_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_unique_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_var_mean_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_vdot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_view_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_view_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_where_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_xlogy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_fake_exhaustive_zero__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpyCubeCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpySplitCopyCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___radd___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___rmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___rpow___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive___rsub___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive__batch_norm_with_update_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive__segment_reduce_lengths_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive__segment_reduce_offsets_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive__unsafe_masked_index_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_acos_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addcdiv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addmm_decomposed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_addr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_allclose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_any_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_argmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_argmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_argsort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_as_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_as_strided_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_asin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_atanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_baddbmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_block_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_broadcast_shapes_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_broadcast_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_broadcast_to_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_byte_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cartesian_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cdist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cdouble_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_char_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_clamp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_clamp_max_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_clamp_min_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_column_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cond_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_conj_physical_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_constant_pad_nd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_corrcoef_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cos_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cosh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cross_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cummax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_digamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_dot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_dstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_einsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_empty_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_empty_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_eq_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_erf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_erfc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_erfinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_exp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_expand_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_fft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_fftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_hfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ifft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ifft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_ihfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_irfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_irfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_rfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_rfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fft_rfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_flatten_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_flex_attention_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_flip_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fliplr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_flipud_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_float_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_floor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_floor_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_fmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_frac_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_frexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_full_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_geometric_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_gradient_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_grid_sampler_2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_histogramdd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_hstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_hypot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_igammac_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_reduce_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_index_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_H_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpyMulCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpyNMSCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpyNonzeroCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpySplitCopyCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_NumpyTakeCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_T_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace___radd___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace___rdiv___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace___rmod___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace___rmul___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace___rpow___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace__batch_norm_with_update_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace__native_batch_norm_legit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace__segment_reduce_lengths_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace__unsafe_masked_index_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace__unsafe_masked_index_put_accumulate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace__upsample_bilinear2d_aa_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_addbmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_addcdiv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_addmv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_addr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_alias_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_angle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_any_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_arange_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_argmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_argwhere_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_as_strided_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_as_strided_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_atan2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_atanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_atleast_1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_atleast_2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_atleast_3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_bfloat16_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_bool_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_broadcast_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_broadcast_to_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_bucketize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_byte_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cdist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cdouble_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ceil_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cfloat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_char_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_chunk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_clone_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_column_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_combinations_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_complex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_count_nonzero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cov_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cross_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cummax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cummin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_cumprod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_diag_embed_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_diagonal_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_diagonal_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_diff_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_div_no_rounding_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_double_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_dsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_einsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_empty_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_eq_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_erfinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_exp2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_expand_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_eye_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_fft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_hfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ifft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_ihfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_rfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_rfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fft_rfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_flatten_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_flipud_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_float_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_floor_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_fmod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_frac_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_full_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_full_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_gather_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_geqrf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_gradient_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_gt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_half_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_hstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_igamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_igammac_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_reduce_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_reduce_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_index_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_int_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isclose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isneginf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_isreal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_jiterator_unary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_kron_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ldexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_le_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lerp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_cholesky_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_cond_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_det_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_eig_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_householder_product_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_inv_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_factor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_factor_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_rank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_multi_dot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_norm_subgradients_at_zero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_hermitian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_slogdet_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_solve_triangular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_svd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_tensorinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_tensorsolve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linalg_vector_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linspace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_linspace_tensor_overload_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log10_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log1p_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_log_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logaddexp2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logcumsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logdet_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logical_not_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_logical_xor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_lu_unpack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mH_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mT_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_argmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_argmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_cumprod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_log_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_normalize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_softmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_masked_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_matmul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_matrix_exp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_max_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_max_reduction_no_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_maximum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_meshgrid_list_of_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_meshgrid_variadic_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_min_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_min_reduction_no_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_min_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nan_to_num_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nanmean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nanmedian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nansum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_narrow_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_narrow_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_native_batch_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_native_dropout_backward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ne_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_new_empty_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_new_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_new_zeros_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nextafter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_binary_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_celu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_channel_shuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_cosine_similarity_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_elu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_embedding_bag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_embedding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_fractional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_gelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_group_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_instance_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_bicubic_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_linear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_trilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_kl_div_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_l1_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_layer_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_linear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool1d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool2d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool3d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_mish_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_mse_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_multi_head_attention_forward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_multi_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_multilabel_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_normalize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_constant_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_reflect_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_replicate_negative_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_poisson_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_prelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_relu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_rms_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_rrelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_smooth_l1_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_softmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_softplus_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_softshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_softsign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_upsample_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nn_functional_upsample_nearest_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_nonzero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_norm_inf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_normal_number_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ones_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ormqr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_outer_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_permute_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polar_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_pow_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_quantile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_rad2deg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_rand_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_randint_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_randn_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_ravel_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_real_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_reciprocal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_remainder_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_repeat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_repeat_interleave_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_resize_as__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_resolve_neg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_roll_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_rot90_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_round_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_round_decimals_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_round_decimals_neg_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scalar_tensor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_searchsorted_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_bartlett_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_blackman_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_exponential_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_gaussian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_general_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_general_hamming_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signal_windows_kaiser_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_signbit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_slice_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_softmax_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_bessel_j0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_v_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_hermite_polynomial_he_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_i1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_i1e_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_laguerre_polynomial_l_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_legendre_polynomial_p_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_log_ndtr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_i0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_i1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_k1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_ndtr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_ndtri_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_scaled_modified_bessel_k0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_scaled_modified_bessel_k1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_special_zeta_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_square_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_squeeze_multiple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_std_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_std_mean_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_stft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_sum_to_size_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_svd_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_take_along_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_take_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_tensor_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_to_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_to_sparse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_topk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_transpose_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_transpose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_trapz_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_triangular_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_triu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unfold_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unique_consecutive_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unsafe_chunk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_unsqueeze_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_var_mean_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_var_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_vdot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_view_as_complex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_view_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_view_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_vsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_where_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_inplace_xlogy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_invoke_quant_packed_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_invoke_quant_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isclose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isnan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isneginf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_isreal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_jiterator_unary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_cholesky_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_det_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eig_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eigvals_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_eigvalsh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_householder_product_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_inv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_inv_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_ldl_factor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lstsq_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_lu_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_matrix_rank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_pinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_pinv_singular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_solve_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_svd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_tensorsolve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_vecdot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linalg_vector_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_linspace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log1p_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_log2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logaddexp2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logcumsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logspace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logspace_tensor_overload_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_logsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_lu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_map_triple_nested_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_argmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_argmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_log_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_normalize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_softmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_masked_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_matmul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_matrix_exp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_max_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_maximum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_min_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_min_reduction_with_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_minimum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_movedim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_msort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nan_to_num_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nanmedian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nanquantile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_narrow_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_native_batch_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_native_dropout_backward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_neg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_empty_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_new_full_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_avg_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_cross_entropy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_ctc_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_dropout2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_dropout3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_dropout_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_embedding_bag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_glu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hardshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hardtanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_instance_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_area_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bicubic_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_kl_div_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_l1_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_local_response_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_logsigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_constant_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pad_replicate_negative_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pdist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_prelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_rms_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_rrelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_selu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_softsign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_tanhshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_threshold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nn_functional_upsample_nearest_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_nonzero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_norm_fro_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ones_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_H_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpyMulCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpyMulScalarCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpyNonzeroCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpySortCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpySplitCopyCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_NumpyViewCopyCustomOp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out___radd___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out___rdiv___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out___rmod___cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out__batch_norm_with_update_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out__native_batch_norm_legit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out__segment_reduce_lengths_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out__segment_reduce_offsets_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out__unsafe_masked_index_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_abs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_acos_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_acosh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_addbmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_addcmul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_addmv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_addr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_alias_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_all_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_allclose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_aminmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_argmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_argwhere_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_as_strided_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_as_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_as_strided_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_asinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_atan2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_atanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_atleast_1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_atleast_2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_atleast_3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_bernoulli_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_bool_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_broadcast_to_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_bucketize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cauchy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_char_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cholesky_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cholesky_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_chunk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_clamp_min_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_column_stack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_combinations_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_contiguous_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cosh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_count_nonzero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cov_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cross_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cummin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_cumprod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_deg2rad_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_diag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_diagonal_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_digamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_dist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_div_floor_rounding_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_div_no_rounding_mode_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_dot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_double_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_dsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_dstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_einsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_empty_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_eq_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_equal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_erf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_erfc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_expand_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_expm1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_eye_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_fft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_fftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_hfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_ifft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_ifft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_ifftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_ihfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_ihfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_irfft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_irfftn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fft_rfft2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_float_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_floor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_fmod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_frexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_full_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_full_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_gather_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_ge_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_geometric_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_gradient_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_grid_sampler_2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_half_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_heaviside_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_histc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_histogramdd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_hstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_hypot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_igamma_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_igammac_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_index_put_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_index_reduce_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_index_reduce_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_index_reduce_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_index_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_isclose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_isnan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_isneginf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_isposinf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_jiterator_2inputs_2outputs_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_jiterator_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_jiterator_unary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_kron_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_kthvalue_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_ldexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_le_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_lerp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_cholesky_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_cond_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_det_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_diagonal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_eigh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_eigvalsh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_householder_product_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_inv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_inv_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_ldl_factor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_ldl_factor_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_lstsq_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_lstsq_grad_oriented_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_lu_factor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_lu_factor_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_lu_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_matrix_power_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_matrix_rank_hermitian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_multi_dot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_norm_subgradients_at_zero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_pinv_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_solve_ex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_svd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linalg_vecdot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linspace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_linspace_tensor_overload_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_log1p_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_log_normal_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_logaddexp2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_logaddexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_logcumsumexp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_logdet_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_logical_and_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_logical_or_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_logit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_logspace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_logspace_tensor_overload_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_long_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_lu_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_argmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_cumprod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_cumsum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_fill_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_softmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_masked_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_matrix_exp_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_max_binary_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_max_reduction_no_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_median_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_meshgrid_variadic_tensors_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_min_reduction_no_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_msort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mul_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nanmean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nanquantile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nansum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_narrow_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_native_batch_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_native_dropout_backward_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_native_layer_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_neg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_new_empty_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_new_empty_strided_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_new_full_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nextafter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_avg_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_batch_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_bilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_celu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_channel_shuffle_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_conv2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_conv3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_conv_transpose1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_conv_transpose3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_dropout2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_dropout3d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_elu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_embedding_bag_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_glu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_grid_sample_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_group_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_hardshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_hardswish_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_hardtanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_hinge_embedding_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_instance_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_interpolate_trilinear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_l1_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_linear_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_local_response_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_margin_ranking_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_pool2d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_max_unpool1d_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_mish_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_mse_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_multilabel_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_normalize_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_pad_circular_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_pad_reflect_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_pad_replicate_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_pairwise_distance_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_pdist_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_poisson_nll_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_prelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_relu6_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_rrelu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_selu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_silu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_soft_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_softmin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_tanhshrink_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_threshold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_triplet_margin_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nn_functional_upsample_nearest_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nonzero_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_nonzero_static_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_norm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_norm_inf_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_norm_nuc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_normal_in_place_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_normal_number_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_outer_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_permute_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_polygamma_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_positive_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_pow_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_quantile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_randint_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_randint_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_randn_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_renorm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_repeat_interleave_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_reshape_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_resolve_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_resolve_neg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_roll_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_rot90_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_round_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_round_decimals_neg_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_rsub_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_scalar_tensor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_scatter_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_scatter_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_scatter_reduce_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_scatter_reduce_prod_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_searchsorted_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_select_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_select_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_short_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sigmoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signal_windows_bartlett_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signal_windows_blackman_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signal_windows_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signal_windows_gaussian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signal_windows_general_cosine_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signal_windows_hamming_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signal_windows_nuttall_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_signbit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sinc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_slice_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sparse_sampled_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_bessel_j0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_bessel_j1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_bessel_y1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_chebyshev_polynomial_v_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_entr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_erfcx_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_i1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_i1e_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_modified_bessel_i1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_modified_bessel_k1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_ndtr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_scaled_modified_bessel_k0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_scaled_modified_bessel_k1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_special_spherical_bessel_j0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_split_list_args_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_split_with_sizes_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sqrt_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_square_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_squeeze_multiple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_std_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_std_mean_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_std_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_sum_to_size_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_svd_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_svd_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_t_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_take_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_tanh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_tensordot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_to_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_to_sparse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_trace_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_transpose_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_triangular_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_tril_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_triu_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_trunc_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_unbind_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_unflatten_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_unfold_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_unfold_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_uniform_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_unique_consecutive_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_unsafe_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_unsqueeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_unsqueeze_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_view_as_complex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_out_view_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_outer_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_permute_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polar_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_qr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_quantile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_rad2deg_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_randint_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_randint_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_randn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_randn_like_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_ravel_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_renorm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_repeat_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_repeat_interleave_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resize__cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_resolve_conj_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_roll_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_round_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_round_decimals_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_round_decimals_neg_3_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scalar_tensor_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scan_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_add_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_amax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_amin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_scatter_reduce_sum_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_searchsorted_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sgn_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_short_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sign_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_bartlett_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_blackman_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_gaussian_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_general_hamming_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_hamming_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signal_windows_hann_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_signbit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sin_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sinh_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_slice_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_slice_scatter_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_softmax_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sort_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_airy_ai_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_j1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_bessel_y0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_w_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_i0e_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_i1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_ndtr_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_ndtri_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_xlog1py_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_special_zeta_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_split_with_sizes_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_square_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_squeeze_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_squeeze_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_std_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_std_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_std_mean_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_std_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_stft_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_sub_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_svd_lowrank_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_take_along_dim_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_take_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tan_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tensor_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tensordot_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_tile_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_to_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_to_sparse_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_topk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_transpose_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_trapezoid_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_triangular_solve_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_true_divide_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unbind_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unfold_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unsafe_chunk_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unsafe_split_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_unsqueeze_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_var_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_var_mean_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_var_unbiased_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_view_as_complex_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_view_as_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_view_copy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_vsplit_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_vstack_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_where_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_while_loop_simple_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_xlogy_cpu_float32, test/test_proxy_tensor.py::TestProxyTensorOpInfoCPU::test_make_fx_symbolic_exhaustive_zero__cpu_float32 2025-07-17T08:52:47.2739607Z 2025-07-17T08:52:50.3886160Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:52:50.3889235Z import pkg_resources 2025-07-17T08:52:50.5167672Z Running test_functionalization 1/1 ... [2025-07-17 08:52:50.516339] 2025-07-17T08:52:50.5168536Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:52:50.5171033Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functionalization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:52:50.516722] 2025-07-17T08:52:55.5121913Z 2025-07-17T08:52:55.5123011Z test_typing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_typing_1.1_23915e9ffdb32901_.log 2025-07-17T08:52:55.5134085Z Running 18 items in this shard: test/test_typing.py::TestTyping::test_fail_arithmetic_ops.py, test/test_typing.py::TestTyping::test_fail_creation_ops.py, test/test_typing.py::TestTyping::test_fail_random.py, test/test_typing.py::TestTyping::test_fail_torch_size.py, test/test_typing.py::TestTyping::test_reveal_module_list.py, test/test_typing.py::TestTyping::test_reveal_namedtuple.py, test/test_typing.py::TestTyping::test_reveal_opt_size.py, test/test_typing.py::TestTyping::test_reveal_size.py, test/test_typing.py::TestTyping::test_reveal_tensor_constructors.py, test/test_typing.py::TestTyping::test_reveal_tensor_copy.py, test/test_typing.py::TestTyping::test_reveal_tensor_sampling.py, test/test_typing.py::TestTyping::test_reveal_torch_optim.py, test/test_typing.py::TestTyping::test_success_arithmetic_ops.py, test/test_typing.py::TestTyping::test_success_creation_ops.py, test/test_typing.py::TestTyping::test_success_cuda_steam.py, test/test_typing.py::TestTyping::test_success_distributions.py, test/test_typing.py::TestTyping::test_success_math_ops.py, test/test_typing.py::TestTyping::test_success_torch_size.py 2025-07-17T08:52:55.5145035Z 2025-07-17T08:52:59.2176914Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:52:59.2178491Z import pkg_resources 2025-07-17T08:52:59.3497979Z Running test_utils_filelock 1/1 ... [2025-07-17 08:52:59.349385] 2025-07-17T08:52:59.3498504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:52:59.3500521Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_utils_filelock.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:52:59.349783] 2025-07-17T08:52:59.4958979Z 2025-07-17T08:52:59.4960275Z test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_1.1_235a05038f50f377_.log 2025-07-17T08:52:59.5032902Z Running 112 items in this shard: test/test_functionalization.py::TestFunctionalization::test_advanced_indexing, test/test_functionalization.py::TestFunctionalization::test_advanced_indexing_correct_strides, test/test_functionalization.py::TestFunctionalization::test_aliases_maintained_after_pass_when_reapplying_views, test/test_functionalization.py::TestFunctionalization::test_as_strided, test/test_functionalization.py::TestFunctionalization::test_batch_norm, test/test_functionalization.py::TestFunctionalization::test_cat, test/test_functionalization.py::TestFunctionalization::test_channels_last_contiguous, test/test_functionalization.py::TestFunctionalization::test_copy_, test/test_functionalization.py::TestFunctionalization::test_copy_stride_mismatch, test/test_functionalization.py::TestFunctionalization::test_diagonal, test/test_functionalization.py::TestFunctionalization::test_diagonal_mutated_input, test/test_functionalization.py::TestFunctionalization::test_everything, test/test_functionalization.py::TestFunctionalization::test_expand_symint, test/test_functionalization.py::TestFunctionalization::test_fill_, test/test_functionalization.py::TestFunctionalization::test_freeze, test/test_functionalization.py::TestFunctionalization::test_index_mutation_on_non_input, test/test_functionalization.py::TestFunctionalization::test_inplace_on_non_view, test/test_functionalization.py::TestFunctionalization::test_instance_norm, test/test_functionalization.py::TestFunctionalization::test_metadata_change, test/test_functionalization.py::TestFunctionalization::test_metadata_change_out_op, test/test_functionalization.py::TestFunctionalization::test_mixed_wrappers_invalid, test/test_functionalization.py::TestFunctionalization::test_mixed_wrappers_valid, test/test_functionalization.py::TestFunctionalization::test_multi_out, test/test_functionalization.py::TestFunctionalization::test_multiple_views_of_same_base, test/test_functionalization.py::TestFunctionalization::test_mutable_op_not_inplace_or_other, test/test_functionalization.py::TestFunctionalization::test_mutation_overlapping_mem, test/test_functionalization.py::TestFunctionalization::test_nested_functions_propagate_updates, test/test_functionalization.py::TestFunctionalization::test_only_one_view, test/test_functionalization.py::TestFunctionalization::test_optional_tensor_list, test/test_functionalization.py::TestFunctionalization::test_python_functionalization, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_conj, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_is_conj, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_is_neg, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_lift_fresh, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_lift_fresh_storage, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_neg, test/test_functionalization.py::TestFunctionalization::test_python_functionalization_zero_tensor, test/test_functionalization.py::TestFunctionalization::test_reapply_views_simple, test/test_functionalization.py::TestFunctionalization::test_resize_larger_invalid, test/test_functionalization.py::TestFunctionalization::test_resize_larger_valid, test/test_functionalization.py::TestFunctionalization::test_resize_same_size_diff_rank, test/test_functionalization.py::TestFunctionalization::test_resize_smaller, test/test_functionalization.py::TestFunctionalization::test_save_for_backwards_segfault, test/test_functionalization.py::TestFunctionalization::test_scalars, test/test_functionalization.py::TestFunctionalization::test_set_, test/test_functionalization.py::TestFunctionalization::test_simple, test/test_functionalization.py::TestFunctionalization::test_simple_out, test/test_functionalization.py::TestFunctionalization::test_slice, test/test_functionalization.py::TestFunctionalization::test_split, test/test_functionalization.py::TestFunctionalization::test_split_with_sizes, test/test_functionalization.py::TestFunctionalization::test_tensor_ctr, test/test_functionalization.py::TestFunctionalization::test_tensor_list_composite, test/test_functionalization.py::TestFunctionalization::test_tensor_list_mixed_functional_nonfunctional, test/test_functionalization.py::TestFunctionalization::test_unbind, test/test_functionalization.py::TestFunctionalization::test_view_clone_view_inplace, test/test_functionalization.py::TestFunctionalization::test_view_inplace, test/test_functionalization.py::TestCrossRefFunctionalization::test_advanced_indexing, test/test_functionalization.py::TestCrossRefFunctionalization::test_advanced_indexing_correct_strides, test/test_functionalization.py::TestCrossRefFunctionalization::test_aliases_maintained_after_pass_when_reapplying_views, test/test_functionalization.py::TestCrossRefFunctionalization::test_as_strided, test/test_functionalization.py::TestCrossRefFunctionalization::test_batch_norm, test/test_functionalization.py::TestCrossRefFunctionalization::test_cat, test/test_functionalization.py::TestCrossRefFunctionalization::test_channels_last_contiguous, test/test_functionalization.py::TestCrossRefFunctionalization::test_copy_, test/test_functionalization.py::TestCrossRefFunctionalization::test_copy_stride_mismatch, test/test_functionalization.py::TestCrossRefFunctionalization::test_diagonal, test/test_functionalization.py::TestCrossRefFunctionalization::test_diagonal_mutated_input, test/test_functionalization.py::TestCrossRefFunctionalization::test_everything, test/test_functionalization.py::TestCrossRefFunctionalization::test_expand_symint, test/test_functionalization.py::TestCrossRefFunctionalization::test_fill_, test/test_functionalization.py::TestCrossRefFunctionalization::test_freeze, test/test_functionalization.py::TestCrossRefFunctionalization::test_index_mutation_on_non_input, test/test_functionalization.py::TestCrossRefFunctionalization::test_inplace_on_non_view, test/test_functionalization.py::TestCrossRefFunctionalization::test_instance_norm, test/test_functionalization.py::TestCrossRefFunctionalization::test_metadata_change, test/test_functionalization.py::TestCrossRefFunctionalization::test_metadata_change_out_op, test/test_functionalization.py::TestCrossRefFunctionalization::test_mixed_wrappers_invalid, test/test_functionalization.py::TestCrossRefFunctionalization::test_mixed_wrappers_valid, test/test_functionalization.py::TestCrossRefFunctionalization::test_multi_out, test/test_functionalization.py::TestCrossRefFunctionalization::test_multiple_views_of_same_base, test/test_functionalization.py::TestCrossRefFunctionalization::test_mutable_op_not_inplace_or_other, test/test_functionalization.py::TestCrossRefFunctionalization::test_mutation_overlapping_mem, test/test_functionalization.py::TestCrossRefFunctionalization::test_nested_functions_propagate_updates, test/test_functionalization.py::TestCrossRefFunctionalization::test_only_one_view, test/test_functionalization.py::TestCrossRefFunctionalization::test_optional_tensor_list, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_conj, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_is_conj, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_is_neg, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_lift_fresh, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_lift_fresh_storage, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_neg, test/test_functionalization.py::TestCrossRefFunctionalization::test_python_functionalization_zero_tensor, test/test_functionalization.py::TestCrossRefFunctionalization::test_reapply_views_simple, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_larger_invalid, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_larger_valid, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_same_size_diff_rank, test/test_functionalization.py::TestCrossRefFunctionalization::test_resize_smaller, test/test_functionalization.py::TestCrossRefFunctionalization::test_save_for_backwards_segfault, test/test_functionalization.py::TestCrossRefFunctionalization::test_scalars, test/test_functionalization.py::TestCrossRefFunctionalization::test_set_, test/test_functionalization.py::TestCrossRefFunctionalization::test_simple, test/test_functionalization.py::TestCrossRefFunctionalization::test_simple_out, test/test_functionalization.py::TestCrossRefFunctionalization::test_slice, test/test_functionalization.py::TestCrossRefFunctionalization::test_split, test/test_functionalization.py::TestCrossRefFunctionalization::test_split_with_sizes, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_ctr, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_list_composite, test/test_functionalization.py::TestCrossRefFunctionalization::test_tensor_list_mixed_functional_nonfunctional, test/test_functionalization.py::TestCrossRefFunctionalization::test_unbind, test/test_functionalization.py::TestCrossRefFunctionalization::test_view_clone_view_inplace, test/test_functionalization.py::TestCrossRefFunctionalization::test_view_inplace 2025-07-17T08:52:59.5127990Z 2025-07-17T08:53:02.8720201Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:53:02.8723218Z import pkg_resources 2025-07-17T08:53:03.0020433Z Running dynamo/test_pre_dispatch 1/1 ... [2025-07-17 08:53:03.001663] 2025-07-17T08:53:03.0021342Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:53:03.0023988Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_pre_dispatch.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:53:03.002078] 2025-07-17T08:53:03.0203058Z 2025-07-17T08:53:03.0204320Z test_utils_filelock 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_filelock_1.1_4edee745d1aa8e0e_.log 2025-07-17T08:53:03.0206419Z Running 2 items in this shard: test/test_utils_filelock.py::TestFileLock::test_no_crash, test/test_utils_filelock.py::TestFileLock::test_sequencing 2025-07-17T08:53:03.0207086Z 2025-07-17T08:53:06.2157280Z 2025-07-17T08:53:06.2158600Z dynamo/test_pre_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pre_dispatch_1.1_043bf302469ea141_.log 2025-07-17T08:53:06.2159307Z 2025-07-17T08:53:06.3011255Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:53:06.3013063Z import pkg_resources 2025-07-17T08:53:06.4311433Z Running export/test_export 1/1 ... [2025-07-17 08:53:06.430772] 2025-07-17T08:53:06.4312077Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:53:06.4314777Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_export.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:53:06.431166] 2025-07-17T08:53:09.5459805Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:53:09.5461358Z import pkg_resources 2025-07-17T08:53:09.6750438Z Running export/test_tools 1/1 ... [2025-07-17 08:53:09.674643] 2025-07-17T08:53:09.6750898Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:53:09.6753748Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_tools.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:53:09.675065] 2025-07-17T08:53:17.7027968Z 2025-07-17T08:53:17.7028986Z export/test_tools 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_tools_1.1_72b96354f84ecc2e_.log 2025-07-17T08:53:17.7030813Z Running 2 items in this shard: test/export/test_tools.py::TestExportTools::test_report_exportability_basic, test/export/test_tools.py::TestExportTools::test_report_exportability_with_issues 2025-07-17T08:53:17.7031741Z 2025-07-17T08:53:20.8690735Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:53:20.8693600Z import pkg_resources 2025-07-17T08:53:20.9981876Z Running inductor/test_torchinductor_opinfo 1/1 ... [2025-07-17 08:53:20.997742] 2025-07-17T08:53:20.9982822Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:53:20.9984992Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:53:20.998136] 2025-07-17T08:53:29.3298168Z 2025-07-17T08:53:29.3299906Z inductor/test_torchinductor_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_1.1_5261b185a65388df_.log 2025-07-17T08:53:29.3301452Z 2025-07-17T08:53:32.5461382Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:53:32.5464577Z import pkg_resources 2025-07-17T08:53:32.6798810Z Running inductor/test_static_cuda_launcher 1/1 ... [2025-07-17 08:53:32.678672] 2025-07-17T08:53:32.6800446Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:53:32.6804067Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_static_cuda_launcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:53:32.679142] 2025-07-17T08:53:39.6811926Z 2025-07-17T08:53:39.6813658Z inductor/test_static_cuda_launcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_static_cuda_launcher_1.1_ab613db14395e55c_.log 2025-07-17T08:53:39.6871166Z 2025-07-17T08:53:42.9535871Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:53:42.9538977Z import pkg_resources 2025-07-17T08:53:43.0807890Z Running inductor/test_utils 1/1 ... [2025-07-17 08:53:43.080292] 2025-07-17T08:53:43.0808751Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:53:43.0810802Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:53:43.080726] 2025-07-17T08:53:46.7007401Z 2025-07-17T08:53:46.7008751Z inductor/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_utils_1.1_48a4737536e42451_.log 2025-07-17T08:53:46.7014512Z Running 7 items in this shard: test/inductor/test_utils.py::TestUtilsCPU::testSympySubs_cpu, test/inductor/test_utils.py::TestUtilsCPU::test_flops_fx_cpu, test/inductor/test_utils.py::TestUtilsCPU::test_get_device_tflops_cpu_bfloat16, test/inductor/test_utils.py::TestUtilsCPU::test_get_device_tflops_cpu_float16, test/inductor/test_utils.py::TestUtilsCPU::test_get_device_tflops_cpu_float32, test/inductor/test_utils.py::TestUtilsCPU::test_sympy_str_cpu, test/inductor/test_utils.py::TestUtilsCPU::test_zip_schema_cpu 2025-07-17T08:53:46.7018681Z 2025-07-17T08:53:49.9037335Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:53:49.9038906Z import pkg_resources 2025-07-17T08:53:50.0347519Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-07-17 08:53:50.034304] 2025-07-17T08:53:50.0348796Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:53:50.0351397Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:53:50.034736] 2025-07-17T08:53:53.4223418Z 2025-07-17T08:53:53.4225667Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_54fa719e2dfca3c6_.log 2025-07-17T08:53:53.4227913Z Running 0 items in this shard: 2025-07-17T08:53:53.4228264Z 2025-07-17T08:53:56.6773670Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:53:56.6776597Z import pkg_resources 2025-07-17T08:53:56.8068008Z Running inductor/test_subgraph_choice 1/1 ... [2025-07-17 08:53:56.806382] 2025-07-17T08:53:56.8068947Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:53:56.8071456Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_subgraph_choice.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:53:56.806771] 2025-07-17T08:54:03.7564070Z 2025-07-17T08:54:03.7565676Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_c1132e8e5ba7f99f_.log 2025-07-17T08:54:03.7567163Z 2025-07-17T08:54:07.0426113Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:54:07.0427661Z import pkg_resources 2025-07-17T08:54:07.1728254Z Running dynamo/test_dicts 1/1 ... [2025-07-17 08:54:07.172422] 2025-07-17T08:54:07.1728788Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:54:07.1731114Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_dicts.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:54:07.172822] 2025-07-17T08:54:10.7315259Z 2025-07-17T08:54:10.7316173Z dynamo/test_dicts 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dicts_1.1_fd010952c6592f27_.log 2025-07-17T08:54:10.7316871Z 2025-07-17T08:54:14.0193426Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:54:14.0196396Z import pkg_resources 2025-07-17T08:54:14.1488141Z Running dynamo/test_dynamic_shapes 1/1 ... [2025-07-17 08:54:14.148387] 2025-07-17T08:54:14.1488912Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:54:14.1491053Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:54:14.148776] 2025-07-17T08:54:22.5450296Z 2025-07-17T08:54:22.5451615Z dynamo/test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dynamic_shapes_1.1_01e4278333664377_.log 2025-07-17T08:54:22.5452366Z 2025-07-17T08:54:25.7207642Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:54:25.7210541Z import pkg_resources 2025-07-17T08:54:25.8486270Z Running test_pytree 1/1 ... [2025-07-17 08:54:25.848228] 2025-07-17T08:54:25.8486865Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:54:25.8488860Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_pytree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:54:25.848633] 2025-07-17T08:54:30.8708660Z 2025-07-17T08:54:30.8709985Z test_pytree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pytree_1.1_9e1d9e62467192fa_.log 2025-07-17T08:54:30.8740116Z Running 98 items in this shard: test/test_pytree.py::TestGenericPytree::test_aligned_public_apis, test/test_pytree.py::TestGenericPytree::test_broadcast_to_and_flatten_cxx, test/test_pytree.py::TestGenericPytree::test_broadcast_to_and_flatten_py, test/test_pytree.py::TestGenericPytree::test_enum_treespec_roundtrip_cxx, test/test_pytree.py::TestGenericPytree::test_enum_treespec_roundtrip_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_defaultdict_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_defaultdict_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_deque_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_deque_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_dict_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_dict_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_leaf_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_leaf_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_list_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_list_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_namedtuple_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_namedtuple_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_nested_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_nested_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_ordereddict_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_ordereddict_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_return_types_max_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_return_types_max_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_return_types_min_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_return_types_min_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_tuple_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_tuple_py, test/test_pytree.py::TestGenericPytree::test_flatten_with_is_leaf_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_with_is_leaf_py, test/test_pytree.py::TestGenericPytree::test_is_namedtuple_cxx, test/test_pytree.py::TestGenericPytree::test_is_namedtuple_py, test/test_pytree.py::TestGenericPytree::test_is_structseq_cxx, test/test_pytree.py::TestGenericPytree::test_is_structseq_py, test/test_pytree.py::TestGenericPytree::test_pytree_serialize_bad_input_cxx, test/test_pytree.py::TestGenericPytree::test_pytree_serialize_bad_input_py, test/test_pytree.py::TestGenericPytree::test_register_pytree_node_cxx, test/test_pytree.py::TestGenericPytree::test_register_pytree_node_py, test/test_pytree.py::TestGenericPytree::test_tree_all_any_cxx, test/test_pytree.py::TestGenericPytree::test_tree_all_any_py, test/test_pytree.py::TestGenericPytree::test_tree_map_cxx, test/test_pytree.py::TestGenericPytree::test_tree_map_multi_inputs_cxx, test/test_pytree.py::TestGenericPytree::test_tree_map_multi_inputs_py, test/test_pytree.py::TestGenericPytree::test_tree_map_only_cxx, test/test_pytree.py::TestGenericPytree::test_tree_map_only_predicate_fn_cxx, test/test_pytree.py::TestGenericPytree::test_tree_map_only_predicate_fn_py, test/test_pytree.py::TestGenericPytree::test_tree_map_only_py, test/test_pytree.py::TestGenericPytree::test_tree_map_py, test/test_pytree.py::TestPythonPytree::test_constant, test/test_pytree.py::TestPythonPytree::test_constant_default_eq_error, test/test_pytree.py::TestPythonPytree::test_constant_default_hash_error, test/test_pytree.py::TestPythonPytree::test_dataclass, test/test_pytree.py::TestPythonPytree::test_deprecated_register_pytree_node, test/test_pytree.py::TestPythonPytree::test_flatten_flatten_with_key_consistency, test/test_pytree.py::TestPythonPytree::test_import_pytree_doesnt_import_optree, test/test_pytree.py::TestPythonPytree::test_key_access, test/test_pytree.py::TestPythonPytree::test_key_str, test/test_pytree.py::TestPythonPytree::test_pytree_context_serialize_bad, test/test_pytree.py::TestPythonPytree::test_pytree_custom_type_serialize, test/test_pytree.py::TestPythonPytree::test_pytree_custom_type_serialize_bad, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_bad_protocol, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_defaultdict_enum, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_enum, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_namedtuple, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_namedtuple_bad, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_register_bad, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec0, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec1, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec2, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec3, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec4, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec5, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec6, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec7, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec8, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec9, test/test_pytree.py::TestPythonPytree::test_register_dataclass_class, test/test_pytree.py::TestPythonPytree::test_saved_serialized, test/test_pytree.py::TestPythonPytree::test_tree_flatten_with_path_is_leaf, test/test_pytree.py::TestPythonPytree::test_tree_flatten_with_path_roundtrip, test/test_pytree.py::TestPythonPytree::test_tree_leaves_with_path, test/test_pytree.py::TestPythonPytree::test_tree_map_with_path, test/test_pytree.py::TestPythonPytree::test_tree_map_with_path_multiple_trees, test/test_pytree.py::TestPythonPytree::test_treespec_equality, test/test_pytree.py::TestPythonPytree::test_treespec_repr, test/test_pytree.py::TestCxxPytree::test_pytree_custom_type_serialize, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_namedtuple, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec0, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec1, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec2, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec3, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec4, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec5, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec6, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec7, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec8, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec9, test/test_pytree.py::TestCxxPytree::test_treespec_equality, test/test_pytree.py::TestCxxPytree::test_treespec_repr 2025-07-17T08:54:30.8768622Z 2025-07-17T08:54:33.9639994Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:54:33.9642937Z import pkg_resources 2025-07-17T08:54:34.0934961Z Running higher_order_ops/test_with_effects 1/1 ... [2025-07-17 08:54:34.093101] 2025-07-17T08:54:34.0935846Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:54:34.0939227Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'higher_order_ops/test_with_effects.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:54:34.093540] 2025-07-17T08:54:43.0565343Z 2025-07-17T08:54:43.0567408Z export/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_1.1_9055a5be34fe9348_.log 2025-07-17T08:54:43.0825171Z Running 421 items in this shard: test/export/test_export.py::TestDynamismExpression::test_export_assume_static_by_default, test/export/test_export.py::TestDynamismExpression::test_export_constraints_error, test/export/test_export.py::TestDynamismExpression::test_export_constraints_error_not_in_range, test/export/test_export.py::TestDynamismExpression::test_export_inline_constraints, test/export/test_export.py::TestDynamismExpression::test_export_slice_maxsize, test/export/test_export.py::TestDynamismExpression::test_export_slice_unbacked_dim1, test/export/test_export.py::TestDynamismExpression::test_export_strict_narrow_unbacked_expr, test/export/test_export.py::TestDynamismExpression::test_reshape_view_backed_size_oblivious, test/export/test_export.py::TestExport::test__scaled_dot_product_flash_attention, test/export/test_export.py::TestExport::test_additional_inputs_constants, test/export/test_export.py::TestExport::test_allow_explicit_guards_as_runtime_asserts, test/export/test_export.py::TestExport::test_args_type_checked, test/export/test_export.py::TestExport::test_aten_lift_fresh_copy, test/export/test_export.py::TestExport::test_attention, test/export/test_export.py::TestExport::test_attr_assignment_extra, test/export/test_export.py::TestExport::test_automatic_constrain_size, test/export/test_export.py::TestExport::test_automatic_dynamic_shapes_constant_relation, test/export/test_export.py::TestExport::test_automatic_dynamic_shapes_linear_relation, test/export/test_export.py::TestExport::test_automatic_dynamic_shapes_simple_equality, test/export/test_export.py::TestExport::test_baddbmm, test/export/test_export.py::TestExport::test_basic, test/export/test_export.py::TestExport::test_basic_non_strict_fake_tensor, test/export/test_export.py::TestExport::test_basic_non_strict_real_tensor, test/export/test_export.py::TestExport::test_bincount, test/export/test_export.py::TestExport::test_buffer_util, test/export/test_export.py::TestExport::test_capture_subclass_constructor, test/export/test_export.py::TestExport::test_capture_subclass_constructor_torch_ir, test/export/test_export.py::TestExport::test_capture_subclass_wrong, test/export/test_export.py::TestExport::test_check_specialized_int, test/export/test_export.py::TestExport::test_checks_to_constrain_range, test/export/test_export.py::TestExport::test_cleanup_dynamic_markers, test/export/test_export.py::TestExport::test_colin_unbacked_backed_vr_sub, test/export/test_export.py::TestExport::test_colon_parameter, test/export/test_export.py::TestExport::test_compiling_state, test/export/test_export.py::TestExport::test_cond_access_identical_symint_closure, test/export/test_export.py::TestExport::test_cond_branches_return_constant_int, test/export/test_export.py::TestExport::test_cond_branches_return_same_int, test/export/test_export.py::TestExport::test_cond_buffers, test/export/test_export.py::TestExport::test_cond_contains_unbacked_no_escape, test/export/test_export.py::TestExport::test_cond_int_closure, test/export/test_export.py::TestExport::test_cond_unflatten, test/export/test_export.py::TestExport::test_cond_with_module_stack_export_with, test/export/test_export.py::TestExport::test_cond_with_module_stack_export_with_unflatten, test/export/test_export.py::TestExport::test_constant_aliasing, test/export/test_export.py::TestExport::test_constant_input_naming, test/export/test_export.py::TestExport::test_constant_no_user_inp, test/export/test_export.py::TestExport::test_constant_output, test/export/test_export.py::TestExport::test_constant_output_dup, test/export/test_export.py::TestExport::test_constant_requires_grad_const, test/export/test_export.py::TestExport::test_constant_return, test/export/test_export.py::TestExport::test_constant_tensor_mutation, test/export/test_export.py::TestExport::test_constant_tensor_with_non_functional, test/export/test_export.py::TestExport::test_constant_tensor_with_non_functional_nested, test/export/test_export.py::TestExport::test_constrain_decomp, test/export/test_export.py::TestExport::test_constrain_size_in_eager, test/export/test_export.py::TestExport::test_constrain_size_with_constrain_value, test/export/test_export.py::TestExport::test_constrain_size_with_various_cases, test/export/test_export.py::TestExport::test_conv_dynamic, test/export/test_export.py::TestExport::test_crop_like, test/export/test_export.py::TestExport::test_cse_for_symint, test/export/test_export.py::TestExport::test_custom_op_auto_functionalize, test/export/test_export.py::TestExport::test_custom_op_auto_functionalize_pre_dispatch, test/export/test_export.py::TestExport::test_custom_op_auto_warn_pre_dispatch, test/export/test_export.py::TestExport::test_custom_op_preserve, test/export/test_export.py::TestExport::test_custom_pytree, test/export/test_export.py::TestExport::test_custom_tag_metadata_re_export, test/export/test_export.py::TestExport::test_decomp_batch_norm_functional_predispatch, test/export/test_export.py::TestExport::test_decomp_item_in_prim_after_decomposition, test/export/test_export.py::TestExport::test_decomp_item_in_prim_before_decomposition, test/export/test_export.py::TestExport::test_default_decomposition_core_cia_ops, test/export/test_export.py::TestExport::test_derived_dim_1_2, test/export/test_export.py::TestExport::test_derived_dim_basic, test/export/test_export.py::TestExport::test_derived_dim_integer, test/export/test_export.py::TestExport::test_derived_dim_nested, test/export/test_export.py::TestExport::test_derived_dim_out_of_order, test/export/test_export.py::TestExport::test_derived_dim_out_of_order_repeat_derived, test/export/test_export.py::TestExport::test_derived_dim_out_of_order_simplified, test/export/test_export.py::TestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived, test/export/test_export.py::TestExport::test_derived_dim_repeat_derived, test/export/test_export.py::TestExport::test_device_to_dynamic, test/export/test_export.py::TestExport::test_device_to_gpu, test/export/test_export.py::TestExport::test_device_to_mutation, test/export/test_export.py::TestExport::test_device_to_mutation_float, test/export/test_export.py::TestExport::test_device_to_static, test/export/test_export.py::TestExport::test_dim_1_2, test/export/test_export.py::TestExport::test_dim_auto_and_dim, test/export/test_export.py::TestExport::test_dim_dynamic, test/export/test_export.py::TestExport::test_dim_dynamic_divisibility, test/export/test_export.py::TestExport::test_dim_dynamic_specialization, test/export/test_export.py::TestExport::test_dim_hint_range_violations, test/export/test_export.py::TestExport::test_dim_hint_ranges, test/export/test_export.py::TestExport::test_disable_forced_specializations_errors, test/export/test_export.py::TestExport::test_disable_forced_specializations_ok, test/export/test_export.py::TestExport::test_distributed_all_gather, test/export/test_export.py::TestExport::test_distributed_all_gather_into_tensor, test/export/test_export.py::TestExport::test_distributed_all_reduce, test/export/test_export.py::TestExport::test_distributed_all_to_all_single, test/export/test_export.py::TestExport::test_distributed_reduce_scatter_tensor, test/export/test_export.py::TestExport::test_dont_duck_size_for_auto_dynamic, test/export/test_export.py::TestExport::test_double_lifted_constants, test/export/test_export.py::TestExport::test_draft_export_checks_aliasing, test/export/test_export.py::TestExport::test_draft_export_checks_mutation, test/export/test_export.py::TestExport::test_draft_export_checks_mutation_list, test/export/test_export.py::TestExport::test_draft_export_checks_mutation_with_nan, test/export/test_export.py::TestExport::test_draft_export_fake_kernel_inference_errors, test/export/test_export.py::TestExport::test_draft_export_infers_fake_kernel, test/export/test_export.py::TestExport::test_duplicate_modules_with_non_persistent_buffers, test/export/test_export.py::TestExport::test_dynamic_lr_shift, test/export/test_export.py::TestExport::test_dynamic_shapes_bounds, test/export/test_export.py::TestExport::test_dynamic_shapes_builder_basic, test/export/test_export.py::TestExport::test_dynamic_shapes_builder_kwargs, test/export/test_export.py::TestExport::test_dynamic_shapes_builder_pytree, test/export/test_export.py::TestExport::test_dynamic_shapes_dataclass, test/export/test_export.py::TestExport::test_dynamic_shapes_inferred_basic, test/export/test_export.py::TestExport::test_dynamic_shapes_serdes_generic, test/export/test_export.py::TestExport::test_dynamic_shapes_serdes_user_errors, test/export/test_export.py::TestExport::test_dynamic_shapes_serdes_various, test/export/test_export.py::TestExport::test_dynamic_shapes_spec_with_pytree, test/export/test_export.py::TestExport::test_dynamic_sym_round, test/export/test_export.py::TestExport::test_ends_of_bounds_oblivious, test/export/test_export.py::TestExport::test_error_does_not_reference_eager_fallback, test/export/test_export.py::TestExport::test_error_when_passing_mutating_primitive_op, test/export/test_export.py::TestExport::test_export_api_with_dynamic_shapes, test/export/test_export.py::TestExport::test_export_as_backend, test/export/test_export.py::TestExport::test_export_associative_scan_lifted_buffers, test/export/test_export.py::TestExport::test_export_associative_scan_symbol_dim, test/export/test_export.py::TestExport::test_export_associative_scan_symbol_scandim, test/export/test_export.py::TestExport::test_export_aten_to_unflatten, test/export/test_export.py::TestExport::test_export_aten_to_unflatten_subclass, test/export/test_export.py::TestExport::test_export_aten_to_unflatten_subclass_pre_dispatch, test/export/test_export.py::TestExport::test_export_cond_preserve_torch_fn_for_subgraphs, test/export/test_export.py::TestExport::test_export_cond_symbool_pred, test/export/test_export.py::TestExport::test_export_cond_warns_constant_pred, test/export/test_export.py::TestExport::test_export_custom_decomp_table_basic_pop, test/export/test_export.py::TestExport::test_export_custom_decomp_table_container_methods, test/export/test_export.py::TestExport::test_export_custom_op_lib, test/export/test_export.py::TestExport::test_export_custom_triton_kernel, test/export/test_export.py::TestExport::test_export_custom_triton_kernel_mutable, test/export/test_export.py::TestExport::test_export_decomp_torture_case_1, test/export/test_export.py::TestExport::test_export_decomp_torture_case_2, test/export/test_export.py::TestExport::test_export_decomps_dynamic, test/export/test_export.py::TestExport::test_export_decomps_simple, test/export/test_export.py::TestExport::test_export_dynamo_config, test/export/test_export.py::TestExport::test_export_for_training_run_decomp, test/export/test_export.py::TestExport::test_export_for_training_with_container_type, test/export/test_export.py::TestExport::test_export_for_training_with_dynamic_shapes, test/export/test_export.py::TestExport::test_export_for_training_with_mutation, test/export/test_export.py::TestExport::test_export_for_training_with_state_dict_hooks, test/export/test_export.py::TestExport::test_export_func_with_default_kwargs, test/export/test_export.py::TestExport::test_export_func_with_keyword_only_args, test/export/test_export.py::TestExport::test_export_func_with_kwargs, test/export/test_export.py::TestExport::test_export_func_with_pytree_kwargs, test/export/test_export.py::TestExport::test_export_func_with_var_keyword_args, test/export/test_export.py::TestExport::test_export_func_with_var_keyword_pytree_args, test/export/test_export.py::TestExport::test_export_func_with_var_postional_args, test/export/test_export.py::TestExport::test_export_function_schema, test/export/test_export.py::TestExport::test_export_graph_with_no_inputs, test/export/test_export.py::TestExport::test_export_input_mutation_bug, test/export/test_export.py::TestExport::test_export_input_mutation_dynamic_shape, test/export/test_export.py::TestExport::test_export_input_mutation_static_shape, test/export/test_export.py::TestExport::test_export_linear_preserve_dynamic_shape, test/export/test_export.py::TestExport::test_export_max_nonstrict, test/export/test_export.py::TestExport::test_export_max_onnx_reported, test/export/test_export.py::TestExport::test_export_method, test/export/test_export.py::TestExport::test_export_mod_constraints, test/export/test_export.py::TestExport::test_export_module, test/export/test_export.py::TestExport::test_export_preserve_linear_at_aot_level, test/export/test_export.py::TestExport::test_export_preserve_linear_but_not_custom_op, test/export/test_export.py::TestExport::test_export_scan_pytree_output, test/export/test_export.py::TestExport::test_export_script_module, test/export/test_export.py::TestExport::test_export_statically_known_true, test/export/test_export.py::TestExport::test_export_then_compile_tensor_ctor, test/export/test_export.py::TestExport::test_export_with_autocast, test/export/test_export.py::TestExport::test_export_with_fake_tensor_inputs, test/export/test_export.py::TestExport::test_export_with_fake_tensor_inputs_on_cuda_devices, test/export/test_export.py::TestExport::test_export_with_inline_constraints, test/export/test_export.py::TestExport::test_export_with_inline_constraints_complex, test/export/test_export.py::TestExport::test_export_with_set_grad_enabled, test/export/test_export.py::TestExport::test_export_with_wrong_inputs, test/export/test_export.py::TestExport::test_external_call_non_strict_real_tensor, test/export/test_export.py::TestExport::test_fake_inputs, test/export/test_export.py::TestExport::test_fake_weights, test/export/test_export.py::TestExport::test_float_conversion, test/export/test_export.py::TestExport::test_float_conversion_from_int, test/export/test_export.py::TestExport::test_fqn, test/export/test_export.py::TestExport::test_from_node_metadata_export, test/export/test_export.py::TestExport::test_full_on_scalar_tensor, test/export/test_export.py::TestExport::test_hints_wrapper, test/export/test_export.py::TestExport::test_hoo_inline_users_issue, test/export/test_export.py::TestExport::test_if_functional, test/export/test_export.py::TestExport::test_if_post_autograd_op_preserved, test/export/test_export.py::TestExport::test_inline_script_class_method, test/export/test_export.py::TestExport::test_inline_script_class_method_recursive, test/export/test_export.py::TestExport::test_inline_script_function, test/export/test_export.py::TestExport::test_inline_script_method, test/export/test_export.py::TestExport::test_int_shape_specialization, test/export/test_export.py::TestExport::test_intermediate_shape_comp, test/export/test_export.py::TestExport::test_is_exporting, test/export/test_export.py::TestExport::test_is_non_negative_check_function, test/export/test_export.py::TestExport::test_is_nonzero, test/export/test_export.py::TestExport::test_isnonzero, test/export/test_export.py::TestExport::test_issue_113041, test/export/test_export.py::TestExport::test_issue_157289, test/export/test_export.py::TestExport::test_istft_op, test/export/test_export.py::TestExport::test_keep_composite_ops_invalid, test/export/test_export.py::TestExport::test_keep_composite_ops_linear_convd, test/export/test_export.py::TestExport::test_keep_composite_ops_linear_convd_for_training_ir, test/export/test_export.py::TestExport::test_kwarg_dynamic_shapes_diff_order, test/export/test_export.py::TestExport::test_kwargs_reorder, test/export/test_export.py::TestExport::test_layer_sharing, test/export/test_export.py::TestExport::test_lazy_module_kwargs, test/export/test_export.py::TestExport::test_lifted_constants, test/export/test_export.py::TestExport::test_linear_conv, test/export/test_export.py::TestExport::test_malformed_fqn_from_source_name, test/export/test_export.py::TestExport::test_map, test/export/test_export.py::TestExport::test_map_buffers, test/export/test_export.py::TestExport::test_mask_nonzero_static, test/export/test_export.py::TestExport::test_masked_select_dynamic, test/export/test_export.py::TestExport::test_math_pow, test/export/test_export.py::TestExport::test_mismatched_dynamic_shapes, test/export/test_export.py::TestExport::test_mixed_input, test/export/test_export.py::TestExport::test_module, test/export/test_export.py::TestExport::test_module_dict_key, test/export/test_export.py::TestExport::test_module_input, test/export/test_export.py::TestExport::test_module_input_subclasses_parameterization_nested, test/export/test_export.py::TestExport::test_module_list_slice, test/export/test_export.py::TestExport::test_module_with_dict_container_inp_out, test/export/test_export.py::TestExport::test_modules_access_for_deleted_submodule, test/export/test_export.py::TestExport::test_more_multidimensional_slicing, test/export/test_export.py::TestExport::test_multidimensional_slicing, test/export/test_export.py::TestExport::test_multinomial_dynamic, test/export/test_export.py::TestExport::test_multiple_definitions_same_name_dim, test/export/test_export.py::TestExport::test_nested_dynamic_shapes_spec, test/export/test_export.py::TestExport::test_nested_module, test/export/test_export.py::TestExport::test_nested_module_with_constant_buffer, test/export/test_export.py::TestExport::test_nested_module_with_init_buffer, test/export/test_export.py::TestExport::test_nested_module_with_parameter, test/export/test_export.py::TestExport::test_nn_module_stack, test/export/test_export.py::TestExport::test_nn_module_stack_shared_submodule, test/export/test_export.py::TestExport::test_no_check_is_size_error, test/export/test_export.py::TestExport::test_no_suggested_fixes_for_data_dependent_errors, test/export/test_export.py::TestExport::test_no_tensor_computation, test/export/test_export.py::TestExport::test_no_tensor_computation_2, test/export/test_export.py::TestExport::test_no_tensor_computation_3, test/export/test_export.py::TestExport::test_no_tensor_computation_4, test/export/test_export.py::TestExport::test_non_arg_name_dynamic_shapes_api, test/export/test_export.py::TestExport::test_non_arg_name_dynamic_shapes_api_with_container_type, test/export/test_export.py::TestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg, test/export/test_export.py::TestExport::test_non_persistent_buffer, test/export/test_export.py::TestExport::test_non_strict_dynamic_shapes, test/export/test_export.py::TestExport::test_non_strict_dynamic_shapes_suggested_fixes, test/export/test_export.py::TestExport::test_none_buffers, test/export/test_export.py::TestExport::test_nonstrict_retrace_preserves_metadata, test/export/test_export.py::TestExport::test_nonzero_2, test/export/test_export.py::TestExport::test_nonzero_dynamic, test/export/test_export.py::TestExport::test_not_registered_parameter, test/export/test_export.py::TestExport::test_operator_aten_tensor_mode_variant, test/export/test_export.py::TestExport::test_output_node_name, test/export/test_export.py::TestExport::test_pad_sequence, test/export/test_export.py::TestExport::test_param_util, test/export/test_export.py::TestExport::test_partial_patched_forward, test/export/test_export.py::TestExport::test_placeholder_naming_collisions, test/export/test_export.py::TestExport::test_placeholder_naming_collisions_hoo_subgraphs, test/export/test_export.py::TestExport::test_placeholder_naming_order, test/export/test_export.py::TestExport::test_placeholder_naming_order_variadic, test/export/test_export.py::TestExport::test_placeholder_update_preserving, test/export/test_export.py::TestExport::test_predispatch_cond, test/export/test_export.py::TestExport::test_predispatch_grad_wrappers, test/export/test_export.py::TestExport::test_preserve_module_call_signature_unflatten_specialization, test/export/test_export.py::TestExport::test_preserve_requires_grad_placeholders, test/export/test_export.py::TestExport::test_preserve_shape_dynamism_for_unused_inputs, test/export/test_export.py::TestExport::test_profiling_code, test/export/test_export.py::TestExport::test_python_asserts_with_sym_int, test/export/test_export.py::TestExport::test_pytree_register_data_class, test/export/test_export.py::TestExport::test_pytree_register_nested_data_class, test/export/test_export.py::TestExport::test_raise_user_error_when_guard_on_data_dependent_operation, test/export/test_export.py::TestExport::test_range_constraints_with_replacement, test/export/test_export.py::TestExport::test_real_tensor_alias_dtype_mismatch, test/export/test_export.py::TestExport::test_real_tensor_bool_cast, test/export/test_export.py::TestExport::test_real_tensor_errors_on_aliasing_custom_op, test/export/test_export.py::TestExport::test_real_tensor_for_max_op, test/export/test_export.py::TestExport::test_real_tensor_size_mismatch, test/export/test_export.py::TestExport::test_redundant_assert_max_upper_bound, test/export/test_export.py::TestExport::test_redundant_asserts, test/export/test_export.py::TestExport::test_refine_dynamic_shapes_from_suggested_fixes, test/export/test_export.py::TestExport::test_register_constant, test/export/test_export.py::TestExport::test_repeat_interleave, test/export/test_export.py::TestExport::test_replace_unbacked_with_very_large_upperbound, test/export/test_export.py::TestExport::test_replaced_unbacked_bindings, test/export/test_export.py::TestExport::test_reshape_view_helper, test/export/test_export.py::TestExport::test_retracable_ep, test/export/test_export.py::TestExport::test_retrace_pre_autograd, test/export/test_export.py::TestExport::test_run_decomposition_supports_user_input_mutation, test/export/test_export.py::TestExport::test_run_decompositions_keep_metadata, test/export/test_export.py::TestExport::test_run_decompositions_keep_tensor_constant_metadata, test/export/test_export.py::TestExport::test_runtime_assert_for_prim, test/export/test_export.py::TestExport::test_runtime_assert_for_prm_str, test/export/test_export.py::TestExport::test_runtime_assert_with_size, test/export/test_export.py::TestExport::test_sequential_slicing, test/export/test_export.py::TestExport::test_set_example_inputs, test/export/test_export.py::TestExport::test_set_grad_empty, test/export/test_export.py::TestExport::test_set_grad_unflatten, test/export/test_export.py::TestExport::test_setgrad_lifted_tensor, test/export/test_export.py::TestExport::test_shared_submodule_nn_module_stack, test/export/test_export.py::TestExport::test_simple_export_for_training, test/export/test_export.py::TestExport::test_simple_unbacked_view, test/export/test_export.py::TestExport::test_size_input, test/export/test_export.py::TestExport::test_slice_nn_module_stack, test/export/test_export.py::TestExport::test_solver_unsupported_sympy_function, test/export/test_export.py::TestExport::test_specialize_derived_dim_roots, test/export/test_export.py::TestExport::test_split_const_gm_with_lifted_constants, test/export/test_export.py::TestExport::test_stack_trace, test/export/test_export.py::TestExport::test_stack_trace_make_fx, test/export/test_export.py::TestExport::test_state_primitives, test/export/test_export.py::TestExport::test_state_shape_attribute_assignment, test/export/test_export.py::TestExport::test_state_tensors, test/export/test_export.py::TestExport::test_static_dim_constraints, test/export/test_export.py::TestExport::test_subclass_nested_attr_access, test/export/test_export.py::TestExport::test_subclass_nested_attr_access_complicated_metadata, test/export/test_export.py::TestExport::test_subclass_nested_attr_access_const_metadata, test/export/test_export.py::TestExport::test_subclass_nested_attr_access_const_metadata_not_top_level, test/export/test_export.py::TestExport::test_subclass_nested_attr_access_submodule, test/export/test_export.py::TestExport::test_subclasses_parameterization, test/export/test_export.py::TestExport::test_subclasses_parameterization_nested, test/export/test_export.py::TestExport::test_suggest_torch_checks_with_non_negative_check, test/export/test_export.py::TestExport::test_suggest_torch_checks_with_regular_check, test/export/test_export.py::TestExport::test_suggested_fixes_for_data_dependent_errors_basic, test/export/test_export.py::TestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers, test/export/test_export.py::TestExport::test_suggested_fixes_new_roots, test/export/test_export.py::TestExport::test_sym_float_operators, test/export/test_export.py::TestExport::test_sym_or_sym_and, test/export/test_export.py::TestExport::test_sym_sqrt, test/export/test_export.py::TestExport::test_symbool_item, test/export/test_export.py::TestExport::test_symfloat_item, test/export/test_export.py::TestExport::test_symint_input_additional_inputs, test/export/test_export.py::TestExport::test_symint_input_basic, test/export/test_export.py::TestExport::test_symint_input_ranges, test/export/test_export.py::TestExport::test_symint_input_shapes_collection, test/export/test_export.py::TestExport::test_symint_input_specialization, test/export/test_export.py::TestExport::test_symint_item, test/export/test_export.py::TestExport::test_symint_output, test/export/test_export.py::TestExport::test_symint_tensor_return, test/export/test_export.py::TestExport::test_tensor_attribute_zero_args, test/export/test_export.py::TestExport::test_tensor_constant_aten_to, test/export/test_export.py::TestExport::test_tensor_constant_with_wrapped_method, test/export/test_export.py::TestExport::test_to_module_with_mutated_buffer, test/export/test_export.py::TestExport::test_to_module_with_mutated_buffer_multiple, test/export/test_export.py::TestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later, test/export/test_export.py::TestExport::test_tolist, test/export/test_export.py::TestExport::test_torch_check_eq_commutativity, test/export/test_export.py::TestExport::test_torch_fn, test/export/test_export.py::TestExport::test_trace_under_fake, test/export/test_export.py::TestExport::test_train_eval_on_exported_preautograd_module, test/export/test_export.py::TestExport::test_unbacked_bincount, test/export/test_export.py::TestExport::test_unbacked_bindings_for_divisible_u_symint, test/export/test_export.py::TestExport::test_unbacked_deferred_runtime_retrace, test/export/test_export.py::TestExport::test_unbacked_expand, test/export/test_export.py::TestExport::test_unbacked_infer_size, test/export/test_export.py::TestExport::test_unbacked_kth_value, test/export/test_export.py::TestExport::test_unbacked_linear_layer_norm_input, test/export/test_export.py::TestExport::test_unbacked_noncontig_lin, test/export/test_export.py::TestExport::test_unbacked_pad, test/export/test_export.py::TestExport::test_unbacked_scalar_constructor, test/export/test_export.py::TestExport::test_unbacked_slice, test/export/test_export.py::TestExport::test_unbacked_to_cond, test/export/test_export.py::TestExport::test_unbacked_to_cond_passthrough, test/export/test_export.py::TestExport::test_unbacked_unsqueeze, test/export/test_export.py::TestExport::test_unflatten_asserts, test/export/test_export.py::TestExport::test_unflatten_buffer_update_child2parent_swap, test/export/test_export.py::TestExport::test_unflatten_isinstance, test/export/test_export.py::TestExport::test_unflatten_multiple_graphs_dispatch, test/export/test_export.py::TestExport::test_unflatten_multiple_graphs_preserve_signature_no_error, test/export/test_export.py::TestExport::test_unflatten_multiple_graphs_shared_submodule, test/export/test_export.py::TestExport::test_unflatten_multiple_graphs_state, test/export/test_export.py::TestExport::test_unflatten_no_unroll, test/export/test_export.py::TestExport::test_unflatten_placeholder_update_child2parent_swap, test/export/test_export.py::TestExport::test_unflatten_placeholder_update_grandchild2cousin_swap, test/export/test_export.py::TestExport::test_unflatten_random_dag_5, test/export/test_export.py::TestExport::test_unflatten_random_dag_6, test/export/test_export.py::TestExport::test_unflatten_random_dag_buf_8, test/export/test_export.py::TestExport::test_unflatten_random_dag_const_preserving_3, test/export/test_export.py::TestExport::test_unflatten_random_dag_const_preserving_3_1, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_4, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_6, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_9, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_preserving_10, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_preserving_4, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_preserving_5, test/export/test_export.py::TestExport::test_unflatten_random_dag_mutating_buf_preserving_7, test/export/test_export.py::TestExport::test_unflatten_random_dag_preserving_4, test/export/test_export.py::TestExport::test_unused_aliases, test/export/test_export.py::TestExport::test_unused_constant, test/export/test_export.py::TestExport::test_use_embedding_twice, test/export/test_export.py::TestExport::test_user_input_and_buffer_mutation, test/export/test_export.py::TestExport::test_while_loop_simple, test/export/test_export.py::TestExport::test_wrapper_module, test/export/test_export.py::TestOneOffModelExportResult::test_constant_fqn, test/export/test_export.py::TestOneOffModelExportResult::test_constant_name, test/export/test_export.py::TestOneOffModelExportResult::test_duplicated_getitem, test/export/test_export.py::TestOneOffModelExportResult::test_hf_logging_logger, test/export/test_export.py::TestOneOffModelExportResult::test_input_output_no_stacktrace, test/export/test_export.py::TestOneOffModelExportResult::test_int_list_output, test/export/test_export.py::TestOneOffModelExportResult::test_logging_logger, test/export/test_export.py::TestOneOffModelExportResult::test_nested_retrace, test/export/test_export.py::TestOneOffModelExportResult::test_none_input_output, test/export/test_export.py::TestOneOffModelExportResult::test_primitive_constant_output, test/export/test_export.py::TestOneOffModelExportResult::test_print, test/export/test_export.py::TestOneOffModelExportResult::test_print_graph_signature, test/export/test_export.py::TestOneOffModelExportResult::test_scaled_dot_product_attention_cpu, test/export/test_export.py::TestOneOffModelExportResult::test_scaled_dot_product_attention_cuda, test/export/test_export.py::TestOneOffModelExportResult::test_unbacked_sdpa, test/export/test_export.py::TestOneOffModelExportResult::test_warning, test/export/test_export.py::TestExportCustomClass::test_export_script_module, test/export/test_export.py::TestExportCustomClass::test_export_unbacked_lt, test/export/test_export.py::TestExportCustomClass::test_int_lift_constant, test/export/test_export.py::TestExportCustomClass::test_lift_custom_obj, test/export/test_export.py::TestExportCustomClass::test_preserve_cia_op, test/export/test_export.py::TestExportCustomClass::test_preserve_non_cia_op, test/export/test_export.py::TestExportCustomClass::test_unbacked_contiguous, test/export/test_export.py::TestExportCustomClass::test_unbacked_select_index 2025-07-17T08:54:43.1077651Z 2025-07-17T08:54:46.3080687Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:54:46.3083706Z import pkg_resources 2025-07-17T08:54:46.4369861Z Running dynamo/test_fx_graph_runnable 1/1 ... [2025-07-17 08:54:46.436556] 2025-07-17T08:54:46.4370804Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:54:46.4374082Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_fx_graph_runnable.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:54:46.437050] 2025-07-17T08:54:49.7718625Z 2025-07-17T08:54:49.7720183Z dynamo/test_fx_graph_runnable 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_graph_runnable_1.1_a595e4f5755c58ee_.log 2025-07-17T08:54:49.7721544Z 2025-07-17T08:54:50.6354276Z 2025-07-17T08:54:50.6355901Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_e5d0302b6e125d30_.log 2025-07-17T08:54:50.6370787Z Running 18 items in this shard: test/higher_order_ops/test_with_effects.py::TestWithEffects::test_alias_op, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_aot_eager, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_aot_eager_requires_grad, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_inductor, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_inductor_external_op_return_none, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effectful_custom_op_with_subclasses, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effectful_op_in_backward, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_aliased_outputs, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_input_mutation_is_output, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_input_mutation_return, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_input_output_view_simple, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_print, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_print_with_buffer_mutations, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_print_with_input_mutations, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_register_effectful_custom_op, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_regular_effectful_op_in_forward_and_backward, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_regular_effectful_op_only_in_backward, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_torchbind_custom_op 2025-07-17T08:54:50.6384872Z 2025-07-17T08:54:53.0288530Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:54:53.0290428Z import pkg_resources 2025-07-17T08:54:53.1584150Z Running test_openmp 1/1 ... [2025-07-17 08:54:53.158014] 2025-07-17T08:54:53.1585117Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:54:53.1587275Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_openmp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:54:53.158430] 2025-07-17T08:54:53.9028674Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:54:53.9030208Z import pkg_resources 2025-07-17T08:54:54.0460347Z Running inductor/test_compiled_optimizers 1/1 ... [2025-07-17 08:54:54.045629] 2025-07-17T08:54:54.0460969Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:54:54.0463808Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_compiled_optimizers.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:54:54.046060] 2025-07-17T08:55:02.9703678Z 2025-07-17T08:55:02.9705043Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_f6d8a5d09c02a095_.log 2025-07-17T08:55:02.9706834Z Running 2 items in this shard: test/test_openmp.py::TestOpenMP_ParallelFor::test_n_threads, test/test_openmp.py::TestOpenMP_ParallelFor::test_one_thread 2025-07-17T08:55:02.9707857Z 2025-07-17T08:55:03.1716878Z 2025-07-17T08:55:03.1718757Z inductor/test_compiled_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compiled_optimizers_1.1_a19385752dd0298c_.log 2025-07-17T08:55:03.1720330Z 2025-07-17T08:55:06.3433049Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:55:06.3436027Z import pkg_resources 2025-07-17T08:55:06.4573521Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:55:06.4576524Z import pkg_resources 2025-07-17T08:55:06.4737941Z Running inductor/test_minifier 1/1 ... [2025-07-17 08:55:06.473415] 2025-07-17T08:55:06.4738848Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:55:06.4741828Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:55:06.473814] 2025-07-17T08:55:06.5877074Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-07-17 08:55:06.587291] 2025-07-17T08:55:06.5878162Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:55:06.5880283Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_ufuncs_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:55:06.587695] 2025-07-17T08:55:11.3090180Z 2025-07-17T08:55:11.3091500Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_aafa91546ff01a02_.log 2025-07-17T08:55:11.3263480Z Running 371 items in this shard: test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_broadcast_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc1, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc10, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc11, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc12, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc13, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc14, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc15, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc16, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc2, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc3, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc4, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc5, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc6, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc7, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc8, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc9, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc1, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc10, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc11, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc12, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc13, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc14, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc15, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc16, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc2, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc3, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc4, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc5, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc6, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc7, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc8, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc9, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc0, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc1, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc10, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc11, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc12, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc13, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc14, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc15, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc16, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc2, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc3, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc4, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc5, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc6, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc7, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc8, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_broadcast_ufunc9, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc10_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc10_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc10_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc11_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc11_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc11_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc12_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc12_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc12_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc13_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc13_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc13_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc14_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc14_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc14_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_equiv_ufunc15_out_dtype_complex128, 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test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc10_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc10_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc10_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc11_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc11_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc11_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc12_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc12_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc12_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc13_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc13_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc13_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc14_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc14_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc14_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc15_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc15_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc15_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc16_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc16_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc16_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc0_op0_iop0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc1_op1_iop1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc2_op2_iop2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc0_op0_iop0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc1_op1_iop1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc2_op2_iop2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc0_op0_iop0_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc1_op1_iop1_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_scalar_ufunc2_op2_iop2_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestUfuncDtypeKwd::test_binary_ufunc_dtype, test/torch_np/test_ufuncs_basic.py::TestUfuncDtypeKwd::test_binary_ufunc_dtype_and_out 2025-07-17T08:55:11.3437963Z 2025-07-17T08:55:13.3733645Z 2025-07-17T08:55:13.3735109Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_8287930849617992_.log 2025-07-17T08:55:13.3736516Z 2025-07-17T08:55:14.7521639Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:55:14.7524734Z import pkg_resources 2025-07-17T08:55:14.8816930Z Running test_compile_benchmark_util 1/1 ... [2025-07-17 08:55:14.881255] 2025-07-17T08:55:14.8817849Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:55:14.8820602Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_compile_benchmark_util.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:55:14.881683] 2025-07-17T08:55:16.7302590Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:55:16.7305514Z import pkg_resources 2025-07-17T08:55:16.8583932Z Running export/test_passes 1/1 ... [2025-07-17 08:55:16.858055] 2025-07-17T08:55:16.8584394Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:55:16.8587485Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:55:16.858453] 2025-07-17T08:55:18.4011950Z 2025-07-17T08:55:18.4013175Z test_compile_benchmark_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_compile_benchmark_util_1.1_40cc481f5ed881f3_.log 2025-07-17T08:55:18.4014416Z Running 1 items in this shard: test/test_compile_benchmark_util.py::TestCompileBenchmarkUtil::test_training_and_inference 2025-07-17T08:55:18.4014963Z 2025-07-17T08:55:21.6824679Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:55:21.6827940Z import pkg_resources 2025-07-17T08:55:21.8130933Z Running inductor/test_helion_kernels 1/1 ... [2025-07-17 08:55:21.812621] 2025-07-17T08:55:21.8131742Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:55:21.8134044Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_helion_kernels.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:55:21.813072] 2025-07-17T08:55:28.5134312Z 2025-07-17T08:55:28.5135650Z inductor/test_helion_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_helion_kernels_1.1_9340943a67b056a4_.log 2025-07-17T08:55:28.5136669Z 2025-07-17T08:55:31.0052459Z 2025-07-17T08:55:31.0053852Z test_meta 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.1_0b542b653b341093_.log 2025-07-17T08:55:32.5795318Z Running 40815 items in this shard: test/test_meta.py::TestMetaConverter::test_channels_last, test/test_meta.py::TestMetaConverter::test_channels_last_leaf, test/test_meta.py::TestMetaConverter::test_channels_last_non_leaf, test/test_meta.py::TestMetaConverter::test_complex_noncontiguous_bug, test/test_meta.py::TestMetaConverter::test_empty_strided_non_dense_leaf, test/test_meta.py::TestMetaConverter::test_imag, test/test_meta.py::TestMetaConverter::test_inplace_set_storage, test/test_meta.py::TestMetaConverter::test_leaf, test/test_meta.py::TestMetaConverter::test_non_leaf, test/test_meta.py::TestMetaConverter::test_non_leaf_torture, test/test_meta.py::TestMetaConverter::test_requires_grad_false, test/test_meta.py::TestMetaConverter::test_tensor_outlives_converter, test/test_meta.py::TestMetaConverter::test_view_as_complex, test/test_meta.py::TestMetaConverter::test_view_as_real, test/test_meta.py::TestMetaConverter::test_view_dtype, test/test_meta.py::TestMetaConverter::test_view_mutate, test/test_meta.py::TestMetaConverter::test_view_of_leaf, test/test_meta.py::TestMetaConverter::test_view_of_non_leaf, test/test_meta.py::TestMetaConverter::test_view_of_view_of_leaf, test/test_meta.py::TestMetaConverter::test_weakref, test/test_meta.py::TestMetaCPU::test_batch_norm_backward_output_mask0_cpu, test/test_meta.py::TestMetaCPU::test_batch_norm_backward_output_mask1_cpu, test/test_meta.py::TestMetaCPU::test_batch_norm_backward_output_mask2_cpu, test/test_meta.py::TestMetaCPU::test_batch_norm_backward_output_mask3_cpu, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___radd___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___rdiv___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___rmod___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___rmul___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___rpow___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___rsub___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs__conversions_complex_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs__conversions_polar_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_add_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_atan2_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_clamp_max_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_clamp_min_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_copysign_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_div_floor_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_div_no_rounding_mode_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_div_trunc_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_eq_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_float_power_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_floor_divide_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_fmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_fmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_fmod_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_ge_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_gt_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_heaviside_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_hypot_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_igamma_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_igammac_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_isclose_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_le_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_logaddexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_logical_and_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_logical_or_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_logical_xor_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_lt_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_maximum_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_minimum_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_mul_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_ne_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_nextafter_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_pow_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_remainder_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_rsub_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_special_xlog1py_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_special_zeta_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_sub_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_true_divide_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_xlogy_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_add_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_atan2_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_clamp_max_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_clamp_min_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_complex_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_copysign_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_div_floor_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_div_no_rounding_mode_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_div_trunc_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_eq_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_float_power_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_floor_divide_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_fmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_fmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_fmod_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_ge_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_gt_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_heaviside_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_hypot_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_igamma_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_igammac_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_isclose_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_jiterator_binary_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_jiterator_binary_return_by_ref_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_ldexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_le_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_logaddexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_logical_and_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_logical_or_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_logical_xor_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_lt_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_max_binary_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_maximum_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_min_binary_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_minimum_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_mul_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_ne_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_nextafter_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_polar_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_pow_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_remainder_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_rsub_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_chebyshev_polynomial_t_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_chebyshev_polynomial_u_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_chebyshev_polynomial_v_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_chebyshev_polynomial_w_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_hermite_polynomial_h_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_hermite_polynomial_he_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_laguerre_polynomial_l_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_legendre_polynomial_p_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_xlog1py_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_special_zeta_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_sub_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_true_divide_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype_xlogy_cpu_float32, test/test_meta.py::TestMetaCPU::test_cdist_forward_cpu, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_H_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_T_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___getitem___cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___radd___cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rand___cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rand___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rand___cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rand___cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rand___cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rand___cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rdiv___cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmatmul___cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace___rmatmul___cpu_complex128, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log2_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log2_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log2_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_normal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_normal_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_normal_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_normal_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_log_softmax_with_dtype_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logaddexp2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logaddexp2_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logaddexp2_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logaddexp2_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logaddexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logaddexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logaddexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logaddexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logaddexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logaddexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logcumsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logcumsumexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logcumsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logcumsumexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logcumsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logcumsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logdet_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logdet_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logdet_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logdet_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_and_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_and_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_and_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_and_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_and_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_and_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_and_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_and_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_and_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_and_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_and_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_and_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_or_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_or_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_or_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_or_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_or_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_or_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_or_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_or_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_or_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_or_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_or_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_or_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_xor_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_xor_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_xor_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_xor_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_xor_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_xor_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_xor_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_xor_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_xor_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_xor_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_xor_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logical_xor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logit_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logit_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logit_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logit_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logit_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logit_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logit_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logit_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_long_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lt_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lt_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lt_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lt_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lt_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lt_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lt_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lt_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lt_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lt_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_unpack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_unpack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_unpack_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_lu_unpack_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mH_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_mT_cpu_complex32, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_transpose_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_transpose_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_transpose_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_transpose_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_transpose_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_transpose_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_transpose_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_transpose_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_transpose_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_transpose_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_transpose_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_transpose_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_transpose_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapezoid_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapezoid_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapezoid_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapezoid_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapezoid_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapezoid_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapezoid_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapezoid_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapezoid_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapezoid_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapezoid_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapz_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapz_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapz_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapz_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapz_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapz_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapz_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapz_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapz_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapz_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trapz_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triangular_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triangular_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triangular_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triangular_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_tril_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_tril_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_tril_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_tril_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_tril_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_tril_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_tril_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_tril_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_tril_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_tril_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_tril_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_tril_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_tril_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_tril_indices_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_tril_indices_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triu_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triu_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triu_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triu_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triu_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triu_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triu_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triu_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triu_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triu_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triu_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triu_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triu_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triu_indices_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_triu_indices_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_true_divide_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_true_divide_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_true_divide_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_true_divide_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_true_divide_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_true_divide_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_true_divide_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_true_divide_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_true_divide_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_true_divide_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_true_divide_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_true_divide_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trunc_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trunc_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trunc_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trunc_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trunc_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trunc_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trunc_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trunc_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_trunc_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unbind_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unflatten_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unflatten_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unflatten_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unflatten_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unflatten_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unflatten_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unflatten_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unflatten_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unflatten_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unflatten_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unflatten_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unflatten_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unflatten_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unfold_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_uniform_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_uniform_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_uniform_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_uniform_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_uniform_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_uniform_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_consecutive_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_consecutive_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_consecutive_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_consecutive_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_consecutive_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_consecutive_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_consecutive_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_consecutive_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_consecutive_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_consecutive_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_cpu_uint16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_cpu_uint32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_cpu_uint64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unique_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unravel_index_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unravel_index_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unravel_index_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unravel_index_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unravel_index_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unsafe_chunk_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unsafe_chunk_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unsafe_chunk_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unsafe_chunk_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unsafe_chunk_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unsafe_chunk_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unsafe_chunk_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unsafe_chunk_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unsafe_chunk_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unsafe_chunk_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unsafe_chunk_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unsafe_chunk_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_unsafe_chunk_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sign_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sign_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sign_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sign_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sinh_cpu_int64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sqrt_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_zero_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__native_batch_norm_legit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__native_batch_norm_legit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__native_batch_norm_legit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__native_batch_norm_legit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_lengths_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_lengths_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_lengths_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_lengths_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_offsets_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_offsets_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_offsets_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__segment_reduce_offsets_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__softmax_backward_data_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__softmax_backward_data_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__softmax_backward_data_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__softmax_backward_data_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__upsample_bilinear2d_aa_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__upsample_bilinear2d_aa_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__upsample_bilinear2d_aa_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_abs_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_acos_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_acosh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_int64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bernoulli_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bernoulli_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bernoulli_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bernoulli_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_left_shift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_left_shift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_left_shift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_left_shift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_left_shift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_right_shift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_right_shift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_right_shift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_right_shift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_right_shift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_shapes_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cauchy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cauchy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cauchy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cauchy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdist_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdist_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_inverse_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_inverse_cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_bool, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_int16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_complex32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fliplr_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_floor_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vander_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vander_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vecdot_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vecdot_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vecdot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vecdot_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vecdot_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vecdot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vector_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vector_norm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vector_norm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vector_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vector_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vector_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_normal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_normal_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_normal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_normal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp2_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logcumsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logcumsumexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logcumsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logcumsumexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logcumsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logcumsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logdet_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logdet_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logdet_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logdet_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_or_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_xor_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_logit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_unpack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_unpack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_unpack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_unpack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_log_softmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_log_softmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_log_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_log_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logaddexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logaddexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logaddexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logaddexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_median_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_median_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_median_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_median_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_avg_pool2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_avg_pool2d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_avg_pool3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_avg_pool3d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_avg_pool3d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_batch_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_batch_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_batch_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_batch_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_bilinear_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_bilinear_cpu_float16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_permute_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_pinverse_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_pinverse_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_pinverse_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_pinverse_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polar_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polar_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_qr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_qr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_qr_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_qr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_quantile_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_quantile_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_int16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_0_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_0_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_0_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_0_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_3_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_3_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_3_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_float16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tan_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tan_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_tan_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_tan_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tan_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tan_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tan_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tan_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tan_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tan_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tan_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tan_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tile_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch__scaled_mm_cpu_float8_e4m3fn, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch__scaled_mm_cpu_float8_e5m2, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_triangular_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_triangular_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_triangular_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_triangular_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_indices_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_indices_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_indices_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_indices_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_complex128, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_complex32, 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test/test_meta.py::TestMetaCPU::test_meta_outplace__upsample_bilinear2d_aa_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_abs_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_abs_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_abs_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_abs_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_abs_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_abs_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_abs_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_abs_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_abs_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_abs_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_abs_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_abs_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_acos_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_acosh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_add_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addbmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcdiv_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcdiv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcdiv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcdiv_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcdiv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcdiv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addcmul_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmm_decomposed_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_allclose_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_allclose_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_allclose_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_allclose_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_allclose_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_allclose_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_amin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_amin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_amin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_amin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_amin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_amin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_amin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_amin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_amin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_amin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_float16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bernoulli_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bernoulli_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bernoulli_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bernoulli_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bincount_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bincount_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bincount_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bincount_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bincount_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_left_shift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_left_shift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_left_shift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_left_shift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_left_shift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_right_shift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_right_shift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_right_shift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_right_shift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_right_shift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_floor_rounding_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_div_no_rounding_mode_cpu_complex128, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_eq_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_eq_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_eq_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_eq_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_eq_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_eq_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_eq_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_eq_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_eq_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_eq_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_eq_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_equal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_equal_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_equal_cpu_complex128, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_xor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logspace_tensor_overload_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logsumexp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_long_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_lt_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_unpack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_unpack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_unpack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_lu_unpack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mH_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mT_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_amin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_argmin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumprod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_log_softmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_log_softmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_log_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_log_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logaddexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logaddexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logaddexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logaddexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logsumexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logsumexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logsumexp_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_uint16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_uint32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_uint64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unravel_index_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unravel_index_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unravel_index_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unravel_index_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unravel_index_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_copy_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_var_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_unbiased_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_unbiased_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_unbiased_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_unbiased_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_unbiased_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_unbiased_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_complex_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_complex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_complex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_real_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_real_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_uint8, test/test_meta.py::TestMetaCPU::test_nan_to_num_cpu, test/test_meta.py::TestMetaCPU::test_nonzero_cpu, test/test_meta.py::TestMetaCPU::test_quantized_embedding_bag_cpu, test/test_meta.py::TestMetaCPU::test_segment_reduce_backward_cpu, test/test_meta.py::TestMetaCPU::test_stride_for_index_Tensor_cpu, test/test_meta.py::TestMetaCPU::test_triangular_solve_out_cpu 2025-07-17T08:55:33.9844858Z 2025-07-17T08:55:33.9846205Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:55:33.9847725Z import pkg_resources 2025-07-17T08:55:33.9848083Z Running torch_np/test_random 1/1 ... [2025-07-17 08:55:31.829622] 2025-07-17T08:55:33.9848504Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:55:33.9849625Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_random.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:55:31.830009] 2025-07-17T08:55:34.3637046Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:55:34.3638661Z import pkg_resources 2025-07-17T08:55:34.4922747Z Running test_namedtensor 1/1 ... [2025-07-17 08:55:34.491886] 2025-07-17T08:55:34.4923464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:55:34.4926376Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_namedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:55:34.492287] 2025-07-17T08:55:35.7007437Z 2025-07-17T08:55:35.7008715Z torch_np/test_random 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_random_1.1_7ea43640da785210_.log 2025-07-17T08:55:35.7025389Z Running 41 items in this shard: test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_func0, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_func1, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_func2, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_func3, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_func6, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_func7, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_random_random, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_False_random_sample, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_func0, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_func1, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_func2, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_func3, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_func6, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_func7, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_random_random, test/torch_np/test_random.py::TestScalarReturn::test_rndm_array_use_numpy_True_random_sample, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_func0, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_func1, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_func2, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_func3, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_func6, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_func7, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_random_random, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_False_random_sample, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_func0, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_func1, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_func2, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_func3, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_func6, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_func7, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_random_random, test/torch_np/test_random.py::TestScalarReturn::test_rndm_scalar_use_numpy_True_random_sample, test/torch_np/test_random.py::TestShuffle::test_1d_use_numpy_False, test/torch_np/test_random.py::TestShuffle::test_1d_use_numpy_True, test/torch_np/test_random.py::TestShuffle::test_2d_use_numpy_False, test/torch_np/test_random.py::TestShuffle::test_2d_use_numpy_True, test/torch_np/test_random.py::TestShuffle::test_shuffle_list_use_numpy_False, test/torch_np/test_random.py::TestShuffle::test_shuffle_list_use_numpy_True, test/torch_np/test_random.py::TestChoice::test_choice_use_numpy_False, test/torch_np/test_random.py::TestChoice::test_choice_use_numpy_True, test/torch_np/test_random.py::TestNumpyGlobal::test_numpy_global 2025-07-17T08:55:35.7040835Z 2025-07-17T08:55:38.5140055Z 2025-07-17T08:55:38.5141443Z test_namedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtensor_1.1_3b9af886b6df1724_.log 2025-07-17T08:55:38.5185719Z Running 88 items in this shard: test/test_namedtensor.py::TestNamedTensor::test_aaa_must_run_first_check_experimental_warning, test/test_namedtensor.py::TestNamedTensor::test_addcmul_addcdiv, test/test_namedtensor.py::TestNamedTensor::test_addmm, test/test_namedtensor.py::TestNamedTensor::test_addmv, test/test_namedtensor.py::TestNamedTensor::test_align_as, test/test_namedtensor.py::TestNamedTensor::test_align_tensors, test/test_namedtensor.py::TestNamedTensor::test_align_tensors_two_inputs, test/test_namedtensor.py::TestNamedTensor::test_align_to, test/test_namedtensor.py::TestNamedTensor::test_align_to_ellipsis, test/test_namedtensor.py::TestNamedTensor::test_any_all, test/test_namedtensor.py::TestNamedTensor::test_as_strided, test/test_namedtensor.py::TestNamedTensor::test_as_strided_cuda, test/test_namedtensor.py::TestNamedTensor::test_autograd_ignores_names, test/test_namedtensor.py::TestNamedTensor::test_autograd_smoke, test/test_namedtensor.py::TestNamedTensor::test_autograd_warns_named_grad, test/test_namedtensor.py::TestNamedTensor::test_bernoulli, test/test_namedtensor.py::TestNamedTensor::test_big_tensor_repr_has_names, test/test_namedtensor.py::TestNamedTensor::test_binary_ops, test/test_namedtensor.py::TestNamedTensor::test_bitwise_not, test/test_namedtensor.py::TestNamedTensor::test_bmm, test/test_namedtensor.py::TestNamedTensor::test_cat, test/test_namedtensor.py::TestNamedTensor::test_cdist, test/test_namedtensor.py::TestNamedTensor::test_comparison_ops, test/test_namedtensor.py::TestNamedTensor::test_copy_transpose, test/test_namedtensor.py::TestNamedTensor::test_cummax_cummin, test/test_namedtensor.py::TestNamedTensor::test_detach, test/test_namedtensor.py::TestNamedTensor::test_diagonal, test/test_namedtensor.py::TestNamedTensor::test_dot, test/test_namedtensor.py::TestNamedTensor::test_equal, test/test_namedtensor.py::TestNamedTensor::test_expand, test/test_namedtensor.py::TestNamedTensor::test_factory_coverage, test/test_namedtensor.py::TestNamedTensor::test_factory_edge_cases, test/test_namedtensor.py::TestNamedTensor::test_flatten, test/test_namedtensor.py::TestNamedTensor::test_flatten_index_error, test/test_namedtensor.py::TestNamedTensor::test_flatten_nodims, test/test_namedtensor.py::TestNamedTensor::test_has_names, test/test_namedtensor.py::TestNamedTensor::test_index_fill, test/test_namedtensor.py::TestNamedTensor::test_info_smoke, test/test_namedtensor.py::TestNamedTensor::test_logcumsumexp, test/test_namedtensor.py::TestNamedTensor::test_logical_not, test/test_namedtensor.py::TestNamedTensor::test_logical_ops, test/test_namedtensor.py::TestNamedTensor::test_masked_fill, test/test_namedtensor.py::TestNamedTensor::test_masked_select, test/test_namedtensor.py::TestNamedTensor::test_matmul, test/test_namedtensor.py::TestNamedTensor::test_max_pooling, test/test_namedtensor.py::TestNamedTensor::test_max_pooling_without_names_does_not_warn, test/test_namedtensor.py::TestNamedTensor::test_mm, test/test_namedtensor.py::TestNamedTensor::test_mv, test/test_namedtensor.py::TestNamedTensor::test_no_jit_script_support, test/test_namedtensor.py::TestNamedTensor::test_no_jit_tracer_support, test/test_namedtensor.py::TestNamedTensor::test_no_multiprocessing_support, test/test_namedtensor.py::TestNamedTensor::test_no_pickle_support, test/test_namedtensor.py::TestNamedTensor::test_no_save_support, test/test_namedtensor.py::TestNamedTensor::test_noncontig_contiguous, test/test_namedtensor.py::TestNamedTensor::test_none_names_refcount, test/test_namedtensor.py::TestNamedTensor::test_nyi_dimname_overload_msg, test/test_namedtensor.py::TestNamedTensor::test_out_fn_semantics, test/test_namedtensor.py::TestNamedTensor::test_pow_special, test/test_namedtensor.py::TestNamedTensor::test_py3_ellipsis, test/test_namedtensor.py::TestNamedTensor::test_reduction_fns, test/test_namedtensor.py::TestNamedTensor::test_refine_names, test/test_namedtensor.py::TestNamedTensor::test_rename, test/test_namedtensor.py::TestNamedTensor::test_rename_, test/test_namedtensor.py::TestNamedTensor::test_rename_globber, test/test_namedtensor.py::TestNamedTensor::test_rename_rename_map, test/test_namedtensor.py::TestNamedTensor::test_repr, test/test_namedtensor.py::TestNamedTensor::test_resize, test/test_namedtensor.py::TestNamedTensor::test_select, test/test_namedtensor.py::TestNamedTensor::test_select_cuda, test/test_namedtensor.py::TestNamedTensor::test_set_names_property, test/test_namedtensor.py::TestNamedTensor::test_size, test/test_namedtensor.py::TestNamedTensor::test_split_fns_propagates_names, test/test_namedtensor.py::TestNamedTensor::test_squeeze, test/test_namedtensor.py::TestNamedTensor::test_stride, test/test_namedtensor.py::TestNamedTensor::test_support_device_named_grad, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_lists, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_named_tensor, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_numpy, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_tensor, test/test_namedtensor.py::TestNamedTensor::test_tensor_grad_is_unnamed, test/test_namedtensor.py::TestNamedTensor::test_transpose_variants, test/test_namedtensor.py::TestNamedTensor::test_trivial, test/test_namedtensor.py::TestNamedTensor::test_unary_propagate_names_fns, test/test_namedtensor.py::TestNamedTensor::test_unflatten, test/test_namedtensor.py::TestNamedTensor::test_unsupported_op_error_msg, test/test_namedtensor.py::TestNamedTensor::test_using_seen_interned_string_doesnt_bump_refcount, test/test_namedtensor.py::TestNamedTensor::test_using_unseen_interned_string_bumps_refcount_permanently, test/test_namedtensor.py::TestNamedTensor::test_using_unseen_uninterned_string_refcounts 2025-07-17T08:55:38.5229686Z 2025-07-17T08:55:38.9960056Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:55:38.9975843Z import pkg_resources 2025-07-17T08:55:39.1284852Z Running export/test_package 1/1 ... [2025-07-17 08:55:39.128045] 2025-07-17T08:55:39.1285602Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:55:39.1288462Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:55:39.128478] 2025-07-17T08:55:41.8417046Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:55:41.8419572Z import pkg_resources 2025-07-17T08:55:41.9718179Z Running dynamo/test_config 1/1 ... [2025-07-17 08:55:41.971408] 2025-07-17T08:55:41.9719152Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:55:41.9721880Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_config.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:55:41.971814] 2025-07-17T08:55:42.9996432Z 2025-07-17T08:55:42.9997851Z export/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_package_1.1_533fc2662af37d58_.log 2025-07-17T08:55:43.0000842Z Running 4 items in this shard: test/export/test_package.py::TestPackage::test_basic, test/export/test_package.py::TestPackage::test_error, test/export/test_package.py::TestPackage::test_more_than_once, test/export/test_package.py::TestPackage::test_overloads 2025-07-17T08:55:43.0002947Z 2025-07-17T08:55:45.4686098Z 2025-07-17T08:55:45.4687913Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_57da1f8cb1fec33e_.log 2025-07-17T08:55:45.4689188Z 2025-07-17T08:55:46.3091377Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:55:46.3094036Z import pkg_resources 2025-07-17T08:55:46.4394615Z Running inductor/test_codecache 1/1 ... [2025-07-17 08:55:46.439057] 2025-07-17T08:55:46.4395142Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:55:46.4397390Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_codecache.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:55:46.439482] 2025-07-17T08:55:48.7742803Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:55:48.7744461Z import pkg_resources 2025-07-17T08:55:48.9033925Z Running torch_np/numpy_tests/core/test_scalarinherit 1/1 ... [2025-07-17 08:55:48.902988] 2025-07-17T08:55:48.9034585Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:55:48.9037306Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarinherit.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:55:48.903387] 2025-07-17T08:55:50.7312904Z 2025-07-17T08:55:50.7315100Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_538764ba1a666dcf_.log 2025-07-17T08:55:50.7331187Z Running 25 items in this shard: test/export/test_passes.py::TestPasses::test_constant_folding_pass, test/export/test_passes.py::TestPasses::test_custom_obj_tuple_out, test/export/test_passes.py::TestPasses::test_fakify_script_objects, test/export/test_passes.py::TestPasses::test_fakify_script_objects_properly_handle_containers, test/export/test_passes.py::TestPasses::test_functionalization_with_view_copy, test/export/test_passes.py::TestPasses::test_inline_, test/export/test_passes.py::TestPasses::test_math_ops, test/export/test_passes.py::TestPasses::test_move_to_device_pass, test/export/test_passes.py::TestPasses::test_predispatch_autocast, test/export/test_passes.py::TestPasses::test_predispatch_autocast_and_set_grad, test/export/test_passes.py::TestPasses::test_predispatch_set_grad, test/export/test_passes.py::TestPasses::test_remove_auto_functionalized_pass, test/export/test_passes.py::TestPasses::test_remove_auto_functionalized_pass_tuple, test/export/test_passes.py::TestPasses::test_remove_effect_token_kwargs, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_cond, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_item, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_nonzero, test/export/test_passes.py::TestPasses::test_runtime_assert_multiple_dims, test/export/test_passes.py::TestPasses::test_runtime_assert_one_dim, test/export/test_passes.py::TestPasses::test_runtime_assert_some_dims_not_specified, test/export/test_passes.py::TestPasses::test_runtime_assert_some_inps_not_used, test/export/test_passes.py::TestPasses::test_sequential_split, test/export/test_passes.py::TestPasses::test_sequential_split_graph, test/export/test_passes.py::TestPasses::test_view_to_view_copy, test/export/test_passes.py::TestPasses::test_views_op_having_view_copy 2025-07-17T08:55:50.7346254Z 2025-07-17T08:55:52.3734715Z 2025-07-17T08:55:52.3736463Z torch_np/numpy_tests/core/test_scalarinherit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarinherit_1.1_dd0154af89f31ee5_.log 2025-07-17T08:55:52.3740080Z Running 3 items in this shard: test/torch_np/numpy_tests/core/test_scalarinherit.py::TestInherit::test_gh_15395, test/torch_np/numpy_tests/core/test_scalarinherit.py::TestInherit::test_init, test/torch_np/numpy_tests/core/test_scalarinherit.py::TestInherit::test_init2 2025-07-17T08:55:52.3742291Z 2025-07-17T08:55:53.8245441Z 2025-07-17T08:55:53.8246917Z inductor/test_codecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_codecache_1.1_c1db871e4bc76d0a_.log 2025-07-17T08:55:53.8248309Z 2025-07-17T08:55:54.0202939Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:55:54.0205977Z import pkg_resources 2025-07-17T08:55:54.1559404Z Running dynamo/test_compile 1/1 ... [2025-07-17 08:55:54.155570] 2025-07-17T08:55:54.1559897Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:55:54.1562816Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_compile.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:55:54.155993] 2025-07-17T08:55:55.6838177Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:55:55.6840927Z import pkg_resources 2025-07-17T08:55:55.8152881Z Running dynamo/test_after_aot 1/1 ... [2025-07-17 08:55:55.814866] 2025-07-17T08:55:55.8153672Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:55:55.8155991Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_after_aot.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:55:55.815250] 2025-07-17T08:55:57.1970079Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:55:57.1972961Z import pkg_resources 2025-07-17T08:55:57.3265241Z Running test_hub 1/1 ... [2025-07-17 08:55:57.326145] 2025-07-17T08:55:57.3266221Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:55:57.3269374Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_hub.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:55:57.326578] 2025-07-17T08:55:57.7526283Z 2025-07-17T08:55:57.7527967Z dynamo/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compile_1.1_fb4f9741537ffb30_.log 2025-07-17T08:55:57.7529292Z 2025-07-17T08:55:59.3895351Z 2025-07-17T08:55:59.3896805Z dynamo/test_after_aot 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_after_aot_1.1_60f0fed815193cb5_.log 2025-07-17T08:55:59.3898029Z 2025-07-17T08:56:01.1752440Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:56:01.1753993Z import pkg_resources 2025-07-17T08:56:01.3056965Z Running export/test_db 1/1 ... [2025-07-17 08:56:01.305350] 2025-07-17T08:56:01.3057412Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:56:01.3060138Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_db.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:56:01.305723] 2025-07-17T08:56:02.7398211Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:56:02.7399884Z import pkg_resources 2025-07-17T08:56:02.8780306Z Running test_optim 1/1 ... [2025-07-17 08:56:02.877679] 2025-07-17T08:56:02.8780739Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:56:02.8783626Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:56:02.878082] 2025-07-17T08:56:09.8110412Z 2025-07-17T08:56:09.8111982Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_e2e4390f179877c5_.log 2025-07-17T08:56:09.8124773Z Running 20 items in this shard: test/test_hub.py::TestHub::test_download_url_to_file, test/test_hub.py::TestHub::test_get_set_dir, test/test_hub.py::TestHub::test_hub_parse_repo_info, test/test_hub.py::TestHub::test_list_entrypoints, test/test_hub.py::TestHub::test_load_commit_from_forked_repo, test/test_hub.py::TestHub::test_load_from_branch, test/test_hub.py::TestHub::test_load_from_github, test/test_hub.py::TestHub::test_load_from_local_dir, test/test_hub.py::TestHub::test_load_legacy_zip_checkpoint, test/test_hub.py::TestHub::test_load_state_dict_from_url, test/test_hub.py::TestHub::test_load_zip_1_6_checkpoint, test/test_hub.py::TestHub::test_trust_repo_builtin_trusted_owners, test/test_hub.py::TestHub::test_trust_repo_check_no, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_false_emptystring, test/test_hub.py::TestHub::test_trust_repo_false_no, test/test_hub.py::TestHub::test_trust_repo_legacy, test/test_hub.py::TestHub::test_trust_repo_none, test/test_hub.py::TestHub::test_trust_repo_true, test/test_hub.py::TestHub::test_trusted_repo_false_yes 2025-07-17T08:56:09.8133591Z 2025-07-17T08:56:14.6464307Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:56:14.6467501Z import pkg_resources 2025-07-17T08:56:14.8704888Z Running inductor/test_profiler 1/1 ... [2025-07-17 08:56:14.869986] 2025-07-17T08:56:14.8705741Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:56:14.8708839Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:56:14.870540] 2025-07-17T08:56:22.0786606Z 2025-07-17T08:56:22.0788063Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_14ef93aa6a61dcfa_.log 2025-07-17T08:56:22.0788911Z 2025-07-17T08:56:25.3809899Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:56:25.3812788Z import pkg_resources 2025-07-17T08:56:25.5102396Z Running inductor/test_cpu_select_algorithm 1/1 ... [2025-07-17 08:56:25.509266] 2025-07-17T08:56:25.5102929Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:56:25.5104233Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cpu_select_algorithm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:56:25.509713] 2025-07-17T08:56:28.8832779Z 2025-07-17T08:56:28.8834330Z export/test_db 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_db_1.1_6b4d41ba05f3caff_.log 2025-07-17T08:56:28.8866897Z Running 36 items in this shard: test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_dynamic_shape_round, test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_model_attr_mutation, test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_optional_input, test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_unsupported_operator, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_assume_constant_result, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_autograd_function, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_class_method, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_branch_class_method, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_branch_nested_function, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_branch_nonlocal_variables, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_closed_over_variable, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_operands, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_predicate, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_constrain_as_size_example, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_constrain_as_value_example, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_decorator, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dictionary, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_assert, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_constructor, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_if_guard, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_map, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_slicing, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_view, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_fn_with_kwargs, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_list_contains, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_list_unpack, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_nested_function, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_null_context_manager, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_pytree_flatten, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_scalar_output, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_specialized_attribute, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_static_for_loop, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_static_if, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_tensor_setattr, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_type_reflection_method, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_user_input_mutation 2025-07-17T08:56:28.8888315Z 2025-07-17T08:56:32.0584216Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:56:32.0585853Z import pkg_resources 2025-07-17T08:56:32.1868871Z Running test_per_overload_api 1/1 ... [2025-07-17 08:56:32.186438] 2025-07-17T08:56:32.1869599Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:56:32.1871308Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_per_overload_api.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:56:32.186781] 2025-07-17T08:56:32.8663115Z 2025-07-17T08:56:32.8664759Z inductor/test_cpu_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_select_algorithm_1.1_b8b0a69a360f36b3_.log 2025-07-17T08:56:32.8666349Z 2025-07-17T08:56:35.6065924Z 2025-07-17T08:56:35.6068790Z test_per_overload_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_per_overload_api_1.1_30f2dfd42116866f_.log 2025-07-17T08:56:35.6072307Z Running 3 items in this shard: test/test_per_overload_api.py::TestPerOverloadAPI::test_basics_opoverload, test/test_per_overload_api.py::TestPerOverloadAPI::test_basics_opoverloadpacket, test/test_per_overload_api.py::TestPerOverloadAPI::test_decompose 2025-07-17T08:56:35.6074559Z 2025-07-17T08:56:36.1293663Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:56:36.1297022Z import pkg_resources 2025-07-17T08:56:36.2595582Z Running export/test_schema 1/1 ... [2025-07-17 08:56:36.259085] 2025-07-17T08:56:36.2596582Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:56:36.2598848Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:56:36.259508] 2025-07-17T08:56:38.9308052Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:56:38.9311344Z import pkg_resources 2025-07-17T08:56:39.0613406Z Running test_expanded_weights 1/1 ... [2025-07-17 08:56:39.060924] 2025-07-17T08:56:39.0614179Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:56:39.0616452Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_expanded_weights.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:56:39.061301] 2025-07-17T08:56:39.8795332Z 2025-07-17T08:56:39.8796942Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_20c8a33ba9d8be7f_.log 2025-07-17T08:56:39.8808470Z Running 5 items in this shard: test/export/test_schema.py::TestSchema::test_schema_check, test/export/test_schema.py::TestSchema::test_schema_comparison, test/export/test_schema.py::TestSchema::test_schema_compatibility, test/export/test_schema.py::TestSchema::test_schema_diff, test/export/test_schema.py::TestSchema::test_thrift_schema_unchanged 2025-07-17T08:56:39.8811483Z 2025-07-17T08:56:43.6532164Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:56:43.6535306Z import pkg_resources 2025-07-17T08:56:43.8679920Z Running lazy/test_bindings 1/1 ... [2025-07-17 08:56:43.867084] 2025-07-17T08:56:43.8680719Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:56:43.8686042Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_bindings.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:56:43.867772] 2025-07-17T08:56:48.3402382Z 2025-07-17T08:56:48.3403898Z lazy/test_bindings 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_bindings_1.1_e8459975e538c2bf_.log 2025-07-17T08:56:48.3405714Z Running 1 items in this shard: test/lazy/test_bindings.py::test_metrics 2025-07-17T08:56:48.3406374Z 2025-07-17T08:56:52.0973771Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:56:52.0976805Z import pkg_resources 2025-07-17T08:56:52.2218204Z Running inductor/test_triton_heuristics 1/1 ... [2025-07-17 08:56:52.221284] 2025-07-17T08:56:52.2219148Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:56:52.2224474Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_triton_heuristics.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:56:52.221696] 2025-07-17T08:56:56.9044200Z 2025-07-17T08:56:56.9045124Z test_expanded_weights 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_expanded_weights_1.1_5a33224a352cee7f_.log 2025-07-17T08:56:56.9142416Z Running 189 items in this shard: test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_forward_helper_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_forward_helper_failure_args_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_set_grad_sample_if_exists_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_set_grad_sample_if_exists_failure_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_sum_over_all_but_batch_and_last_n_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_unpack_expanded_weight_or_tensor_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_unpack_expanded_weight_or_tensor_failure_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_unpack_expanded_weight_or_tensor_with_custom_function_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_cnn_model_mean_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_cnn_model_sum_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_embedding_model_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_error_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv2d_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv3d_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_float16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int32, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_int8, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_linear_cpu_uint8, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_mean_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_per_sample_grad_sum_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_error_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_model_num_dim_1_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_model_num_dim_2_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_group_norm_model_num_dim_3_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_instance_norm_model_num_dim_1_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_instance_norm_model_num_dim_2_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_instance_norm_model_num_dim_3_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_layer_norm_model_num_dim_1_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_layer_norm_model_num_dim_2_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_layer_norm_model_num_dim_3_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_conv1d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_conv2d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_conv3d_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_embedding_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_group_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_instance_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_layer_norm_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_unsupported_expand_weights_nn_functional_linear_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_circular_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_circular_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad1_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad1_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad1size1_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad1size1_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad2size1_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_pad2size1_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_reflect_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_reflect_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_replicate_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_replicate_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_stride_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_stride_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zero_batch_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zero_batch_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zeros_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv1d_zeros_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_circular_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_circular_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_dilated_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_dilated_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_no_bias_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_no_bias_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_padding_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_padding_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_reflect_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_reflect_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_replicate_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_replicate_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_strided_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_strided_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_zero_batch_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_zero_batch_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_zeros_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv2d_zeros_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_1x1x1_no_bias_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_1x1x1_no_bias_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_circular_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_circular_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_no_bias_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_no_bias_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_replicate_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_replicate_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_stride_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_stride_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_stride_padding_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_stride_padding_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_zero_batch_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_zero_batch_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_zeros_stride2_pad2_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Conv3d_zeros_stride2_pad2_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Embedding_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Embedding_discontiguous_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Embedding_discontiguous_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Embedding_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_LayerNorm_3d_no_affine_large_feature_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_LayerNorm_3d_no_affine_large_feature_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_no_batch_dim_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_no_batch_dim_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_no_bias_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_Linear_no_bias_multiple_inputs_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_GRU_eval_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_GRU_eval_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_GRU_train_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_GRU_train_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_LSTM_eval_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_LSTM_eval_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_LSTM_train_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_LSTM_train_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_RNN_eval_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_RNN_eval_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_RNN_train_mode_cpu_float32, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_module_nn_RNN_train_mode_cpu_float64, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_per_sample_api_compute_batch_size_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_per_sample_api_compute_batch_size_not_pytreeable_cpu, test/test_expanded_weights.py::TestExpandedWeightModuleCPU::test_per_sample_api_failing_cpu 2025-07-17T08:56:56.9235769Z 2025-07-17T08:56:59.1676690Z 2025-07-17T08:56:59.1678351Z inductor/test_triton_heuristics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_heuristics_1.1_4b05fbc019852400_.log 2025-07-17T08:56:59.1679833Z 2025-07-17T08:57:00.5656313Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:00.5659288Z import pkg_resources 2025-07-17T08:57:00.7389405Z Running dynamo/test_repros 1/1 ... [2025-07-17 08:57:00.737794] 2025-07-17T08:57:00.7389870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:00.7391225Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_repros.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:00.738406] 2025-07-17T08:57:02.9306379Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:02.9309258Z import pkg_resources 2025-07-17T08:57:03.0608965Z Running dynamo/test_view 1/1 ... [2025-07-17 08:57:03.060458] 2025-07-17T08:57:03.0609708Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:03.0612574Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_view.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:03.060899] 2025-07-17T08:57:04.5369189Z 2025-07-17T08:57:04.5370853Z dynamo/test_repros 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_repros_1.1_6008d66aee144aee_.log 2025-07-17T08:57:04.5371522Z 2025-07-17T08:57:06.2106554Z 2025-07-17T08:57:06.2107990Z dynamo/test_view 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_view_1.1_c5e0f0cd2d501ba8_.log 2025-07-17T08:57:06.2109280Z 2025-07-17T08:57:07.8672900Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:07.8676021Z import pkg_resources 2025-07-17T08:57:07.9967230Z Running test_native_functions 1/1 ... [2025-07-17 08:57:07.996316] 2025-07-17T08:57:07.9967981Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:07.9971020Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_native_functions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:07.996735] 2025-07-17T08:57:09.5402930Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:09.5406074Z import pkg_resources 2025-07-17T08:57:09.6718157Z Running inductor/test_inductor_scheduler 1/1 ... [2025-07-17 08:57:09.671404] 2025-07-17T08:57:09.6719175Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:09.6721933Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_inductor_scheduler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:09.671817] 2025-07-17T08:57:11.6675725Z 2025-07-17T08:57:11.6676968Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_eed281f58c8b9d51_.log 2025-07-17T08:57:11.6684460Z Running 11 items in this shard: test/test_native_functions.py::TestNativeFunctions::test_intlist_error_with_overload, test/test_native_functions.py::TestNativeFunctions::test_optional_filled_intlist, test/test_native_functions.py::TestNativeFunctions::test_optional_floatlist, test/test_native_functions.py::TestNativeFunctions::test_optional_floatlist_invalid, test/test_native_functions.py::TestNativeFunctions::test_optional_intlist, test/test_native_functions.py::TestNativeFunctions::test_optional_intlist_invalid, test/test_native_functions.py::TestNativeFunctions::test_string_defaults, test/test_native_functions.py::TestNativeFunctions::test_symintlist_error, test/test_native_functions.py::TestNativeFunctions::test_symintlist_error_with_overload, test/test_native_functions.py::TestNativeFunctions::test_symintlist_error_with_overload_but_is_unique, test/test_native_functions.py::TestNativeFunctions::test_vararg_symintlist_error 2025-07-17T08:57:11.6691279Z 2025-07-17T08:57:15.6421815Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:15.6425239Z import pkg_resources 2025-07-17T08:57:15.7722887Z Running test_type_hints 1/1 ... [2025-07-17 08:57:15.771860] 2025-07-17T08:57:15.7726049Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:15.7728172Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_type_hints.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:15.772300] 2025-07-17T08:57:17.6560589Z 2025-07-17T08:57:17.6562493Z inductor/test_inductor_scheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_scheduler_1.1_05798cf166d75b31_.log 2025-07-17T08:57:17.6572358Z Running 6 items in this shard: test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_disable_get_estimated_runtime_logging_cpu_float16, test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_disable_get_estimated_runtime_logging_cpu_float32, test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_flop_counter_op_options0_cpu_float16, test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_flop_counter_op_options0_cpu_float32, test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_flop_counter_op_options1_cpu_float16, test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_flop_counter_op_options1_cpu_float32 2025-07-17T08:57:17.6578360Z 2025-07-17T08:57:19.2957152Z 2025-07-17T08:57:19.2958594Z test_type_hints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_hints_1.1_5f2042eacc31da84_.log 2025-07-17T08:57:19.2960377Z Running 1 items in this shard: test/test_type_hints.py::TestTypeHints::test_doc_examples 2025-07-17T08:57:19.2960980Z 2025-07-17T08:57:20.9576748Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:20.9578311Z import pkg_resources 2025-07-17T08:57:21.0960590Z Running dynamo/test_pgo 1/1 ... [2025-07-17 08:57:21.095612] 2025-07-17T08:57:21.0961385Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:21.0963924Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_pgo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:21.096040] 2025-07-17T08:57:22.6592131Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:22.6595315Z import pkg_resources 2025-07-17T08:57:22.7862493Z Running inductor/test_group_batch_fusion 1/1 ... [2025-07-17 08:57:22.785813] 2025-07-17T08:57:22.7863373Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:22.7865594Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_group_batch_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:22.786219] 2025-07-17T08:57:24.6494214Z 2025-07-17T08:57:24.6495549Z dynamo/test_pgo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_pgo_1.1_9909195021d9976c_.log 2025-07-17T08:57:24.6496749Z 2025-07-17T08:57:27.9310123Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:27.9312980Z import pkg_resources 2025-07-17T08:57:28.0741559Z Running test_import_stats 1/1 ... [2025-07-17 08:57:28.073738] 2025-07-17T08:57:28.0742592Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:28.0746877Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_import_stats.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:28.074292] 2025-07-17T08:57:30.0775271Z 2025-07-17T08:57:30.0777215Z inductor/test_group_batch_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_group_batch_fusion_1.1_005e6cb7f117c64f_.log 2025-07-17T08:57:30.0779301Z 2025-07-17T08:57:33.5847067Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:33.5849905Z import pkg_resources 2025-07-17T08:57:33.7140658Z Running dynamo/test_guard_serialization 1/1 ... [2025-07-17 08:57:33.713647] 2025-07-17T08:57:33.7141488Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:33.7144048Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_guard_serialization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:33.714045] 2025-07-17T08:57:33.9452998Z 2025-07-17T08:57:33.9454243Z test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_optim_1.1_fd7d05e36d9c7033_.log 2025-07-17T08:57:34.0029321Z Running 966 items in this shard: test/test_optim.py::TestLRScheduler::test_CosineAnnealingWarmRestarts_T_cur_reset, test/test_optim.py::TestLRScheduler::test_CosineAnnealingWarmRestarts_lr1_T_mult_1, test/test_optim.py::TestLRScheduler::test_CosineAnnealingWarmRestarts_lr1_T_mult_2, test/test_optim.py::TestLRScheduler::test_CosineAnnealingWarmRestarts_lr1_T_mult_4, test/test_optim.py::TestLRScheduler::test_CosineAnnealingWarmRestarts_lr2, test/test_optim.py::TestLRScheduler::test_CosineAnnealingWarmRestarts_lr3, test/test_optim.py::TestLRScheduler::test_CosineAnnealingWarmRestarts_lr_state_dict, test/test_optim.py::TestLRScheduler::test_add_param_group_does_not_break_reduce_lr_on_plateau_min_lr_list, test/test_optim.py::TestLRScheduler::test_add_param_group_does_not_break_reduce_lr_on_plateau_min_lr_scalar, test/test_optim.py::TestLRScheduler::test_add_param_group_errors_reduce_lr_on_plateau, test/test_optim.py::TestLRScheduler::test_chained_lr1, test/test_optim.py::TestLRScheduler::test_chained_lr2, test/test_optim.py::TestLRScheduler::test_chained_lr2_get_last_lr_before_step, test/test_optim.py::TestLRScheduler::test_chained_lr3, test/test_optim.py::TestLRScheduler::test_chained_lr4, test/test_optim.py::TestLRScheduler::test_chained_lr5, test/test_optim.py::TestLRScheduler::test_closed_form_constantlr, test/test_optim.py::TestLRScheduler::test_closed_form_cos_anneal_lr, test/test_optim.py::TestLRScheduler::test_closed_form_exp_lr, test/test_optim.py::TestLRScheduler::test_closed_form_linearlr, test/test_optim.py::TestLRScheduler::test_closed_form_multi_step_lr, test/test_optim.py::TestLRScheduler::test_closed_form_poly_lr, test/test_optim.py::TestLRScheduler::test_closed_form_step_lr, test/test_optim.py::TestLRScheduler::test_compound_cosanneal_and_exp_lr, test/test_optim.py::TestLRScheduler::test_compound_cosanneal_and_linearlr, test/test_optim.py::TestLRScheduler::test_compound_cosanneal_and_multistep_lr, test/test_optim.py::TestLRScheduler::test_compound_cosanneal_and_step_lr, test/test_optim.py::TestLRScheduler::test_compound_exp_and_linearlr, test/test_optim.py::TestLRScheduler::test_compound_exp_and_multistep_lr, test/test_optim.py::TestLRScheduler::test_compound_linearlr_and_multistep_lr, test/test_optim.py::TestLRScheduler::test_compound_reduce_lr_on_plateau1, test/test_optim.py::TestLRScheduler::test_compound_reduce_lr_on_plateau2, test/test_optim.py::TestLRScheduler::test_compound_reduce_lr_on_plateau3, test/test_optim.py::TestLRScheduler::test_compound_reduce_lr_on_plateau4, test/test_optim.py::TestLRScheduler::test_compound_reduce_lr_on_plateau5, test/test_optim.py::TestLRScheduler::test_compound_step_and_constantlr, test/test_optim.py::TestLRScheduler::test_compound_step_and_exp_lr, test/test_optim.py::TestLRScheduler::test_compound_step_and_multistep_lr, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass0, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass1, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass2, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass3, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass4, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass5, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass6, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass7, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass8, test/test_optim.py::TestLRScheduler::test_constant_initial_lr_LRClass9, test/test_optim.py::TestLRScheduler::test_constant_initial_params_cyclelr, test/test_optim.py::TestLRScheduler::test_constant_initial_params_onecyclelr, test/test_optim.py::TestLRScheduler::test_constant_initial_params_swalr, test/test_optim.py::TestLRScheduler::test_constantlr, test/test_optim.py::TestLRScheduler::test_constantlr_is_constant_for_constant_epoch, test/test_optim.py::TestLRScheduler::test_constantlr_with_epoch, test/test_optim.py::TestLRScheduler::test_cos_anneal_lr, test/test_optim.py::TestLRScheduler::test_cos_anneal_lr_continue, test/test_optim.py::TestLRScheduler::test_cosine_lr_state_dict, test/test_optim.py::TestLRScheduler::test_cosine_then_cyclic, test/test_optim.py::TestLRScheduler::test_cycle_lr_cycle_momentum_fail_with_momentumless_optimizer, test/test_optim.py::TestLRScheduler::test_cycle_lr_cycle_momentum_with_beta1_optimizer, test/test_optim.py::TestLRScheduler::test_cycle_lr_exp_range_mode, test/test_optim.py::TestLRScheduler::test_cycle_lr_exp_range_mode_one_lr, test/test_optim.py::TestLRScheduler::test_cycle_lr_exp_range_mode_step_size_up_down, test/test_optim.py::TestLRScheduler::test_cycle_lr_invalid_mode, test/test_optim.py::TestLRScheduler::test_cycle_lr_removed_after_out_of_scope, test/test_optim.py::TestLRScheduler::test_cycle_lr_scale_fn_restored_from_state_dict, test/test_optim.py::TestLRScheduler::test_cycle_lr_state_dict_picklable, test/test_optim.py::TestLRScheduler::test_cycle_lr_triangular2_mode, test/test_optim.py::TestLRScheduler::test_cycle_lr_triangular2_mode_one_lr, test/test_optim.py::TestLRScheduler::test_cycle_lr_triangular2_mode_step_size_up_down, test/test_optim.py::TestLRScheduler::test_cycle_lr_triangular_mode, test/test_optim.py::TestLRScheduler::test_cycle_lr_triangular_mode_one_lr, test/test_optim.py::TestLRScheduler::test_cycle_lr_triangular_mode_one_lr_no_momentum, test/test_optim.py::TestLRScheduler::test_cycle_lr_triangular_mode_step_size_up_down, test/test_optim.py::TestLRScheduler::test_cycle_lr_with_adam, test/test_optim.py::TestLRScheduler::test_cycle_lr_with_momentumless_optimizer, test/test_optim.py::TestLRScheduler::test_error_when_getlr_has_epoch, test/test_optim.py::TestLRScheduler::test_exp_lr, test/test_optim.py::TestLRScheduler::test_exp_step_lr_state_dict, test/test_optim.py::TestLRScheduler::test_exponential_lr_is_constant_for_constant_epoch, test/test_optim.py::TestLRScheduler::test_get_last_lr_constantlr, test/test_optim.py::TestLRScheduler::test_get_last_lr_linearlr, test/test_optim.py::TestLRScheduler::test_get_last_lr_multi_step_lr, test/test_optim.py::TestLRScheduler::test_get_last_lr_sequentiallr, test/test_optim.py::TestLRScheduler::test_get_last_lr_step_lr, test/test_optim.py::TestLRScheduler::test_lambda_lr, test/test_optim.py::TestLRScheduler::test_lambda_lr_state_dict_fn, test/test_optim.py::TestLRScheduler::test_lambda_lr_state_dict_obj, test/test_optim.py::TestLRScheduler::test_linear_linearlr_is_constant_for_constant_epoch, test/test_optim.py::TestLRScheduler::test_linearlr, test/test_optim.py::TestLRScheduler::test_linearlr_start_factor_limits1, test/test_optim.py::TestLRScheduler::test_linearlr_start_factor_limits2, test/test_optim.py::TestLRScheduler::test_linearlr_with_epoch, test/test_optim.py::TestLRScheduler::test_lr_scheduler_checkpoint_LRClass0, test/test_optim.py::TestLRScheduler::test_lr_scheduler_checkpoint_LRClass1, test/test_optim.py::TestLRScheduler::test_lr_scheduler_checkpoint_LRClass10, test/test_optim.py::TestLRScheduler::test_lr_scheduler_checkpoint_LRClass11, test/test_optim.py::TestLRScheduler::test_lr_scheduler_checkpoint_LRClass12, test/test_optim.py::TestLRScheduler::test_lr_scheduler_checkpoint_LRClass2, test/test_optim.py::TestLRScheduler::test_lr_scheduler_checkpoint_LRClass3, test/test_optim.py::TestLRScheduler::test_lr_scheduler_checkpoint_LRClass4, test/test_optim.py::TestLRScheduler::test_lr_scheduler_checkpoint_LRClass5, test/test_optim.py::TestLRScheduler::test_lr_scheduler_checkpoint_LRClass6, test/test_optim.py::TestLRScheduler::test_lr_scheduler_checkpoint_LRClass7, test/test_optim.py::TestLRScheduler::test_lr_scheduler_checkpoint_LRClass8, test/test_optim.py::TestLRScheduler::test_lr_scheduler_checkpoint_LRClass9, test/test_optim.py::TestLRScheduler::test_lr_scheduler_checkpoint_on_plateau, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass0_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass0_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass10_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass10_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass11_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass11_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass12_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass12_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass13_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass13_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass14_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass14_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass1_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass1_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass2_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass2_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass3_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass3_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass4_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass4_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass5_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass5_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass6_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass6_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass7_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass7_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass8_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass8_weights_only_True, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass9_weights_only_False, test/test_optim.py::TestLRScheduler::test_lr_scheduler_state_dict_load_LRClass9_weights_only_True, test/test_optim.py::TestLRScheduler::test_multi_step_lr, test/test_optim.py::TestLRScheduler::test_multi_step_lr_state_dict, test/test_optim.py::TestLRScheduler::test_multi_step_lr_with_epoch, test/test_optim.py::TestLRScheduler::test_multiplicative_lr, test/test_optim.py::TestLRScheduler::test_multiplicative_lr_with_lr_lambda, test/test_optim.py::TestLRScheduler::test_new_pattern_no_warning, test/test_optim.py::TestLRScheduler::test_new_pattern_no_warning_with_arg, test/test_optim.py::TestLRScheduler::test_new_pattern_no_warning_with_overridden_optim_step, test/test_optim.py::TestLRScheduler::test_no_cyclic_references, test/test_optim.py::TestLRScheduler::test_no_cyclic_references_in_step, test/test_optim.py::TestLRScheduler::test_old_pattern_warning, test/test_optim.py::TestLRScheduler::test_old_pattern_warning_resuming, test/test_optim.py::TestLRScheduler::test_old_pattern_warning_resuming_with_arg, test/test_optim.py::TestLRScheduler::test_old_pattern_warning_with_arg, test/test_optim.py::TestLRScheduler::test_old_pattern_warning_with_overridden_optim_step, test/test_optim.py::TestLRScheduler::test_onecycle_lr_cannot_calculate_total_steps, test/test_optim.py::TestLRScheduler::test_onecycle_lr_cosine_annealing, test/test_optim.py::TestLRScheduler::test_onecycle_lr_invalid_anneal_strategy, test/test_optim.py::TestLRScheduler::test_onecycle_lr_invalid_pct_start, test/test_optim.py::TestLRScheduler::test_onecycle_lr_legacy_state_dict, test/test_optim.py::TestLRScheduler::test_onecycle_lr_linear_annealing, test/test_optim.py::TestLRScheduler::test_onecycle_lr_linear_annealing_three_phases, test/test_optim.py::TestLRScheduler::test_poly_lr, test/test_optim.py::TestLRScheduler::test_polynomial_lr_is_constant_for_constant_epoch, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau1, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau2, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau3, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau4, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau5, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau6, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau7, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau8, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau_get_last_lr_before_step, test/test_optim.py::TestLRScheduler::test_reduce_lr_on_plateau_state_dict, test/test_optim.py::TestLRScheduler::test_sequentiallr1, test/test_optim.py::TestLRScheduler::test_sequentiallr2, test/test_optim.py::TestLRScheduler::test_sequentiallr3, test/test_optim.py::TestLRScheduler::test_sequentiallr4, test/test_optim.py::TestLRScheduler::test_sequentiallr5, test/test_optim.py::TestLRScheduler::test_step_lr, test/test_optim.py::TestLRScheduler::test_step_lr_is_constant_for_constant_epoch, test/test_optim.py::TestLRScheduler::test_step_lr_state_dict, test/test_optim.py::TestLRScheduler::test_swa_lr_state_dict, test/test_optim.py::TestLRScheduler::test_swalr_cosine_anneal_after_multiplicative, test/test_optim.py::TestLRScheduler::test_swalr_hypers, test/test_optim.py::TestLRScheduler::test_swalr_linear_anneal_after_multiplicative, test/test_optim.py::TestLRScheduler::test_swalr_no_anneal, test/test_optim.py::TestDifferentiableOptimizer::test_adadelta, test/test_optim.py::TestDifferentiableOptimizer::test_adagrad, test/test_optim.py::TestDifferentiableOptimizer::test_adam, test/test_optim.py::TestDifferentiableOptimizer::test_adam_differentiable_all_hyperparams, test/test_optim.py::TestDifferentiableOptimizer::test_adam_differentiable_betas, test/test_optim.py::TestDifferentiableOptimizer::test_adam_differentiable_lr, test/test_optim.py::TestDifferentiableOptimizer::test_adam_differentiable_weight_decay, test/test_optim.py::TestDifferentiableOptimizer::test_adamax, test/test_optim.py::TestDifferentiableOptimizer::test_adamw, test/test_optim.py::TestDifferentiableOptimizer::test_adamw_differentiable_all_hyperparams, test/test_optim.py::TestDifferentiableOptimizer::test_adamw_differentiable_betas, test/test_optim.py::TestDifferentiableOptimizer::test_adamw_differentiable_lr, test/test_optim.py::TestDifferentiableOptimizer::test_adamw_differentiable_weight_decay, test/test_optim.py::TestDifferentiableOptimizer::test_asgd, test/test_optim.py::TestDifferentiableOptimizer::test_differentiable_lr, test/test_optim.py::TestDifferentiableOptimizer::test_differentiable_weight_decay, test/test_optim.py::TestDifferentiableOptimizer::test_differentiable_weight_decay_and_lr, test/test_optim.py::TestDifferentiableOptimizer::test_nadam, test/test_optim.py::TestDifferentiableOptimizer::test_radam, test/test_optim.py::TestDifferentiableOptimizer::test_rmsprop, test/test_optim.py::TestDifferentiableOptimizer::test_rprop, test/test_optim.py::TestDifferentiableOptimizer::test_sgd, test/test_optim.py::TestSWAUtils::test_averaged_model_all_devices_ema_False, test/test_optim.py::TestSWAUtils::test_averaged_model_all_devices_ema_True, test/test_optim.py::TestSWAUtils::test_averaged_model_default_avg_fn_picklable, test/test_optim.py::TestSWAUtils::test_averaged_model_exponential_use_multi_avg_fn_False_use_buffers_False, test/test_optim.py::TestSWAUtils::test_averaged_model_exponential_use_multi_avg_fn_False_use_buffers_True, test/test_optim.py::TestSWAUtils::test_averaged_model_exponential_use_multi_avg_fn_True_use_buffers_False, test/test_optim.py::TestSWAUtils::test_averaged_model_exponential_use_multi_avg_fn_True_use_buffers_True, test/test_optim.py::TestSWAUtils::test_averaged_model_mixed_device_ema_False, test/test_optim.py::TestSWAUtils::test_averaged_model_mixed_device_ema_True, test/test_optim.py::TestSWAUtils::test_averaged_model_state_dict, test/test_optim.py::TestSWAUtils::test_bn_update_eval_momentum, test/test_optim.py::TestSWAUtils::test_update_bn_cnn, test/test_optim.py::TestSWAUtils::test_update_bn_dnn, test/test_optim.py::TestOptimRenewedCPU::test_adamw_serialization_cpu, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_False_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_False_is_named_optim1_True_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_False_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_from_to_named_state_dict_is_named_optim0_True_is_named_optim1_True_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_can_load_older_state_dict_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_ASGD_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_Adadelta_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_Adagrad_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_AdamW_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_Adam_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_Adamax_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_LBFGS_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_NAdam_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_RAdam_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_RMSprop_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_Rprop_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_2d_SGD_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_ASGD_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_Adadelta_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_Adagrad_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_AdamW_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_Adam_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_Adamax_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_LBFGS_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_NAdam_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_RAdam_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_RMSprop_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_Rprop_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_complex_SGD_cpu_complex64, test/test_optim.py::TestOptimRenewedCPU::test_cpu_load_state_dict_impl_capturable_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_cpu_load_state_dict_impl_capturable_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_cpu_load_state_dict_impl_capturable_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_cpu_load_state_dict_impl_capturable_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_cpu_load_state_dict_impl_fused_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_cpu_load_state_dict_impl_fused_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_cpu_load_state_dict_impl_fused_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_cpu_load_state_dict_impl_fused_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_deepcopy_copies_all_public_attrs_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_deepcopy_copies_all_public_attrs_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_deepcopy_copies_all_public_attrs_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_deepcopy_copies_all_public_attrs_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_deepcopy_copies_all_public_attrs_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_deepcopy_copies_all_public_attrs_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_deepcopy_copies_all_public_attrs_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_deepcopy_copies_all_public_attrs_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_deepcopy_copies_all_public_attrs_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_deepcopy_copies_all_public_attrs_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_deepcopy_copies_all_public_attrs_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_deepcopy_copies_all_public_attrs_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_deepcopy_copies_all_public_attrs_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_deepcopy_copies_all_public_attrs_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_defaults_changed_to_foreach_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_defaults_changed_to_foreach_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_defaults_changed_to_foreach_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_defaults_changed_to_foreach_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_defaults_changed_to_foreach_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_defaults_changed_to_foreach_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_defaults_changed_to_foreach_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_defaults_changed_to_foreach_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_defaults_changed_to_foreach_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_defaults_changed_to_foreach_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_defaults_changed_to_foreach_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_errors_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_errors_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_errors_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_errors_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_errors_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_errors_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_errors_Adamax_cpu_float32, 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test/test_optim.py::TestOptimRenewedCPU::test_foreach_large_tensor_Adam_cpu_float16, test/test_optim.py::TestOptimRenewedCPU::test_foreach_large_tensor_Adamax_cpu_float16, test/test_optim.py::TestOptimRenewedCPU::test_foreach_large_tensor_NAdam_cpu_float16, test/test_optim.py::TestOptimRenewedCPU::test_foreach_large_tensor_RAdam_cpu_float16, test/test_optim.py::TestOptimRenewedCPU::test_foreach_large_tensor_RMSprop_cpu_float16, test/test_optim.py::TestOptimRenewedCPU::test_foreach_large_tensor_Rprop_cpu_float16, test/test_optim.py::TestOptimRenewedCPU::test_foreach_large_tensor_SGD_cpu_float16, test/test_optim.py::TestOptimRenewedCPU::test_foreach_matches_forloop_ASGD_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_foreach_matches_forloop_Adadelta_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_foreach_matches_forloop_Adafactor_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_foreach_matches_forloop_Adagrad_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_foreach_matches_forloop_AdamW_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_foreach_matches_forloop_Adam_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_foreach_matches_forloop_Adamax_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_foreach_matches_forloop_NAdam_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_foreach_matches_forloop_RAdam_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_foreach_matches_forloop_RMSprop_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_foreach_matches_forloop_Rprop_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_foreach_matches_forloop_SGD_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_forloop_goes_right_direction_contiguous_False_with_lrsched_False_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_forloop_goes_right_direction_contiguous_False_with_lrsched_False_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_forloop_goes_right_direction_contiguous_False_with_lrsched_False_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_forloop_goes_right_direction_contiguous_False_with_lrsched_False_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_forloop_goes_right_direction_contiguous_False_with_lrsched_False_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_forloop_goes_right_direction_contiguous_False_with_lrsched_False_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_forloop_goes_right_direction_contiguous_False_with_lrsched_False_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_forloop_goes_right_direction_contiguous_False_with_lrsched_False_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_forloop_goes_right_direction_contiguous_False_with_lrsched_False_NAdam_cpu_float32, 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test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_foreach_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_mixed_device_dtype_impl_fused_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_non_empty_state_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optim_infos_do_not_specify_global_cliquey_kwargs_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_optimizer_can_be_printed_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_group_with_lrscheduler_goes_right_direction_RMSprop_cpu_float32, 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test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_lr_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_param_groups_weight_decay_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_peak_memory_foreach_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_rosenbrock_sparse_with_lrsched_False_Adagrad_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_rosenbrock_sparse_with_lrsched_False_SGD_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_rosenbrock_sparse_with_lrsched_False_SparseAdam_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_rosenbrock_sparse_with_lrsched_True_Adagrad_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_rosenbrock_sparse_with_lrsched_True_SGD_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_rosenbrock_sparse_with_lrsched_True_SparseAdam_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_False_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_save_load_equality_with_weights_only_is_named_optim_True_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_second_order_optims_return_consistent_types_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_ASGD_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_Adadelta_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_Adafactor_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_Adagrad_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_AdamW_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_Adam_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_Adamax_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_NAdam_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_RAdam_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_RMSprop_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_Rprop_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_set_default_dtype_works_with_foreach_SGD_cpu_float64, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_False_RAdam_cpu_float32, 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test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_state_dict_deterministic_is_named_optim0_False_is_named_optim1_True_RAdam_cpu_float32, 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test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_0_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_0_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_0_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_0_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_0_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_1_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_1_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_1_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_1_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_1_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_1_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_1_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_1_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_1_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_1_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_1_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_1_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_1_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_1_SparseAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_2_ASGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_2_Adadelta_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_2_Adafactor_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_2_Adagrad_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_2_AdamW_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_2_Adam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_2_Adamax_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_2_LBFGS_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_2_NAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_2_RAdam_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_2_RMSprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_2_Rprop_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_2_SGD_cpu_float32, test/test_optim.py::TestOptimRenewedCPU::test_tensor_lr_num_dim_2_SparseAdam_cpu_float32 2025-07-17T08:57:34.0407668Z 2025-07-17T08:57:35.3652422Z 2025-07-17T08:57:35.3654030Z test_import_stats 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_import_stats_1.1_c311d0426934663e_.log 2025-07-17T08:57:35.3656313Z Running 2 items in this shard: test/test_import_stats.py::TestImportTime::test_time_cuda_device_count, test/test_import_stats.py::TestImportTime::test_time_import_torch 2025-07-17T08:57:35.3657644Z 2025-07-17T08:57:37.3103627Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:37.3106631Z import pkg_resources 2025-07-17T08:57:37.4591798Z Running test_module_tracker 1/1 ... [2025-07-17 08:57:37.458667] 2025-07-17T08:57:37.4592567Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:37.4594496Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_module_tracker.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:37.459073] 2025-07-17T08:57:38.7119209Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:38.7122005Z import pkg_resources 2025-07-17T08:57:38.8519606Z Running test_cuda_expandable_segments 1/1 ... [2025-07-17 08:57:38.851572] 2025-07-17T08:57:38.8520487Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:38.8524470Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:38.852084] 2025-07-17T08:57:40.9129889Z 2025-07-17T08:57:40.9131601Z dynamo/test_guard_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_serialization_1.1_a657905d35a9d258_.log 2025-07-17T08:57:40.9132880Z 2025-07-17T08:57:41.0297077Z 2025-07-17T08:57:41.0298199Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_8e17c7c75c0e4e6c_.log 2025-07-17T08:57:41.0300433Z Running 3 items in this shard: test/test_module_tracker.py::TestModuleTracker::test_bw_detection, test/test_module_tracker.py::TestModuleTracker::test_confused_hierarchy, test/test_module_tracker.py::TestModuleTracker::test_module_hierarchy 2025-07-17T08:57:41.0301864Z 2025-07-17T08:57:43.4876270Z 2025-07-17T08:57:43.4878142Z test_cuda_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_expandable_segments_1.1_e0bc4cf799512060_.log 2025-07-17T08:57:43.4879426Z 2025-07-17T08:57:44.2657984Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:44.2661223Z import pkg_resources 2025-07-17T08:57:44.3971225Z Running test_fx_passes 1/1 ... [2025-07-17 08:57:44.396686] 2025-07-17T08:57:44.3971970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:44.3974245Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_fx_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:44.397102] 2025-07-17T08:57:44.3997292Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:44.4000144Z import pkg_resources 2025-07-17T08:57:44.5290164Z Running dynamo/test_unittest 1/1 ... [2025-07-17 08:57:44.528591] 2025-07-17T08:57:44.5290950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:44.5293379Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_unittest.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:44.529005] 2025-07-17T08:57:46.7428225Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:46.7429775Z import pkg_resources 2025-07-17T08:57:46.8748467Z Running test_logging 1/1 ... [2025-07-17 08:57:46.874426] 2025-07-17T08:57:46.8749236Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:46.8751740Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_logging.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:46.874855] 2025-07-17T08:57:48.0747654Z 2025-07-17T08:57:48.0748999Z dynamo/test_unittest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unittest_1.1_ec0d491076084a64_.log 2025-07-17T08:57:48.0750141Z 2025-07-17T08:57:48.3186990Z 2025-07-17T08:57:48.3188283Z test_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_passes_1.1_01d42d16ae50cf44_.log 2025-07-17T08:57:48.3227829Z Running 53 items in this shard: test/test_fx_passes.py::TestFXGraphPasses::test_fuser_pass_deep_model, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition0, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition1, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition10, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition11, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition2, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition3, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition4, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition5, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition6, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition7, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition8, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition9, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition0, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition1, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition2, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition3, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn0_expected_partition0_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn10_expected_partition10_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn11_expected_partition11_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn12_expected_partition12_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn13_expected_partition13_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn14_expected_partition14_bookend_non_compute_pass_True, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn15_expected_partition15_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn16_expected_partition16_bookend_non_compute_pass_True, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn17_expected_partition17_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn18_expected_partition18_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn1_expected_partition1_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn2_expected_partition2_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn3_expected_partition3_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn4_expected_partition4_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn5_expected_partition5_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn6_expected_partition6_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn7_expected_partition7_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn8_expected_partition8_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn9_expected_partition9_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_independent_output_fn0_expected_partition0, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model0, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model1, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model10, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model11, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model12, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model13, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model14, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model15, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model2, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model3, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model4, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model5, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model6, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model7, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model8, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model9 2025-07-17T08:57:48.3265672Z 2025-07-17T08:57:51.3951643Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:51.3954738Z import pkg_resources 2025-07-17T08:57:51.5265162Z Running inductor/test_multi_kernel 1/1 ... [2025-07-17 08:57:51.526102] 2025-07-17T08:57:51.5267617Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:51.5268903Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_multi_kernel.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:51.526529] 2025-07-17T08:57:51.6824156Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:51.6825950Z import pkg_resources 2025-07-17T08:57:51.8123253Z Running torch_np/test_basic 1/1 ... [2025-07-17 08:57:51.811941] 2025-07-17T08:57:51.8123730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:51.8126584Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:51.812363] 2025-07-17T08:57:52.1985484Z 2025-07-17T08:57:52.1986828Z test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_logging_1.1_90fddbd063115194_.log 2025-07-17T08:57:52.1988235Z Running 1 items in this shard: test/test_logging.py::LoggingTest::testApiUsage 2025-07-17T08:57:52.1988800Z 2025-07-17T08:57:55.5184637Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:57:55.5186170Z import pkg_resources 2025-07-17T08:57:55.6479016Z Running test_tensorexpr_pybind 1/1 ... [2025-07-17 08:57:55.647550] 2025-07-17T08:57:55.6479574Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:57:55.6482034Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_tensorexpr_pybind.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:57:55.647913] 2025-07-17T08:57:56.7857771Z 2025-07-17T08:57:56.7859613Z torch_np/test_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_basic_1.1_ee22cf601859668b_.log 2025-07-17T08:57:56.8131612Z Running 453 items in this shard: test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func0, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func1, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func10, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func11, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func12, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func13, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func14, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func15, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func16, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func17, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func18, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func19, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func2, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func20, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func21, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func22, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func23, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func24, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func25, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func26, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func27, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func28, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func29, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func3, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func30, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func31, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func32, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func33, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func34, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func35, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func36, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func37, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func38, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func39, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func4, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func40, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func41, test/torch_np/test_basic.py::TestOneArr::test_asarray_array_func42, 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test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func0_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func0_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func0_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func0_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func10_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func10_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func10_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func10_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func1_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func1_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func1_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func1_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func2_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func2_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func2_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func2_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func3_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func3_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func3_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func3_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func4_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func4_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func4_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func4_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func5_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func5_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func5_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func5_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func6_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func6_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func6_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func6_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func7_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func7_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func7_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func7_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func8_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func8_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func8_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func8_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func9_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func9_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func9_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_list_func9_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func0_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func0_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func0_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func0_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func10_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func10_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func10_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func10_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func1_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func1_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func1_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func1_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func2_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func2_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func2_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func2_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func3_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func3_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func3_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func3_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func4_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func4_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func4_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func4_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func5_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func5_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func5_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func5_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func6_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func6_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func6_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func6_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func7_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func7_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func7_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func7_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func8_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func8_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func8_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func8_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func9_axis3, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func9_axis_-1, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func9_axis_0, test/torch_np/test_basic.py::TestOneArrAndAxis::test_andaxis_tensor_func9_axis_1, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_array_func0_axes0, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_array_func0_axes1, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_array_func0_axes2, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_list_func0_axes0, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_list_func0_axes1, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_list_func0_axes2, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_tensor_func0_axes0, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_tensor_func0_axes1, test/torch_np/test_basic.py::TestOneArrAndAxesTuple::test_andtuple_tensor_func0_axes2, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_array_func0, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_array_func1, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_array_func2, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_array_func3, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_array_func4, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_list_func0, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_list_func1, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_list_func2, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_list_func3, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_list_func4, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_tensor_func0, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_tensor_func1, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_tensor_func2, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_tensor_func3, test/torch_np/test_basic.py::TestOneArrAndShape::test_andshape_tensor_func4, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_array_func0_np_func0, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_array_func1_np_func1, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_array_func2_np_func2, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_list_func0_np_func0, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_list_func1_np_func1, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_list_func2_np_func2, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_tensor_func0_np_func0, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_tensor_func1_np_func1, test/torch_np/test_basic.py::TestOneArrToScalar::test_toscalar_tensor_func2_np_func2, test/torch_np/test_basic.py::TestShapeLikeToArray::test_shape_func0, test/torch_np/test_basic.py::TestShapeLikeToArray::test_shape_func1, test/torch_np/test_basic.py::TestShapeLikeToArray::test_shape_func2, test/torch_np/test_basic.py::TestShapeLikeToArray::test_shape_func3, test/torch_np/test_basic.py::TestSequenceOfArrays::test_several_func0, test/torch_np/test_basic.py::TestSequenceOfArrays::test_several_func1, test/torch_np/test_basic.py::TestSequenceOfArrays::test_several_func2, test/torch_np/test_basic.py::TestSequenceOfArrays::test_several_func3, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_array_func0, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_array_func1, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_array_func2, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_array_func3, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_list_func0, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_list_func1, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_list_func2, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_list_func3, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_tensor_func0, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_tensor_func1, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_tensor_func2, test/torch_np/test_basic.py::TestSequenceOfArrays::test_single_tensor_func3, test/torch_np/test_basic.py::TestSequenceOfArraysToSingle::test_several_func0, test/torch_np/test_basic.py::TestSequenceOfArraysToSingle::test_several_func1, test/torch_np/test_basic.py::TestSequenceOfArraysToSingle::test_several_func2, test/torch_np/test_basic.py::TestSequenceOfArraysToSingle::test_several_func3, test/torch_np/test_basic.py::TestSequenceOfArraysToSingle::test_several_func4, test/torch_np/test_basic.py::TestSequenceOfArraysToSingle::test_several_func5, test/torch_np/test_basic.py::TestSequenceOfArraysToSingle::test_several_func6, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_array_func0, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_array_func1, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_list_func0, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_list_func1, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_tensor_func0, test/torch_np/test_basic.py::TestArrayToSequence::test_asarray_tensor_func1, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func0_args0, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func1_args1, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func2_args2, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func3_args3, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func4_args4, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func5_args5, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func6_args6, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func7_args7, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func8_args8, test/torch_np/test_basic.py::TestPythonArgsToArray::test_argstoarray_simple_func9_args9, test/torch_np/test_basic.py::TestNormalizations::test_too_few_args_positional, test/torch_np/test_basic.py::TestNormalizations::test_unknown_args, test/torch_np/test_basic.py::TestNormalizations::test_unknown_args_with_defaults, test/torch_np/test_basic.py::TestCopyTo::test_copyto_basic, test/torch_np/test_basic.py::TestCopyTo::test_copyto_typecast, test/torch_np/test_basic.py::TestCopyTo::test_copytobcast, test/torch_np/test_basic.py::TestDivmod::test_divmod_no_out, test/torch_np/test_basic.py::TestDivmod::test_divmod_out, test/torch_np/test_basic.py::TestDivmod::test_divmod_out_both_pos_and_kw, test/torch_np/test_basic.py::TestDivmod::test_divmod_out_list, test/torch_np/test_basic.py::TestDivmod::test_divmod_pos_only, test/torch_np/test_basic.py::TestSmokeNotImpl::test_nimpl_basic, test/torch_np/test_basic.py::TestDefaultDtype::test_defaultdtype_defaults, test/torch_np/test_basic.py::TestDefaultDtype::test_set_default_float_dt_float32, test/torch_np/test_basic.py::TestDefaultDtype::test_set_default_float_dt_pytorch, test/torch_np/test_basic.py::TestDefaultDtype::test_set_default_float_float32, test/torch_np/test_basic.py::TestExport::test_exported_objects, test/torch_np/test_basic.py::TestCtorNested::test_arrays_in_lists, test/torch_np/test_basic.py::TestMisc::test_f16_on_cuda, test/torch_np/test_basic.py::TestMisc::test_ndarrays_to_tensors 2025-07-17T08:57:56.8341026Z 2025-07-17T08:57:58.5495228Z 2025-07-17T08:57:58.5496761Z inductor/test_multi_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_multi_kernel_1.1_60e790a636fbb261_.log 2025-07-17T08:57:58.5497696Z 2025-07-17T08:57:59.7194071Z 2025-07-17T08:57:59.7195731Z test_tensorexpr_pybind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_pybind_1.1_5948cdadc7bed177_.log 2025-07-17T08:57:59.7205720Z Running 17 items in this shard: test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_alloc_in_loop, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_call_raw, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_dtype_error, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_dynamic_shape, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_dynamic_shape_2d, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_external_calls, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_shape_prop, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_shape_prop_module, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_custom_lowering, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_expand, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_permute, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_scalar_inputs, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_t, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_tensor_inputs, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_transpose, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_simple_sum, test/test_tensorexpr_pybind.py::TestExprHandlePyBind::test_unary_ops 2025-07-17T08:57:59.7212317Z 2025-07-17T08:58:00.0827095Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:00.0828645Z import pkg_resources 2025-07-17T08:58:00.2139778Z Running dynamo/test_model_output 1/1 ... [2025-07-17 08:58:00.213550] 2025-07-17T08:58:00.2140318Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:00.2142425Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_model_output.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:00.213946] 2025-07-17T08:58:01.9804986Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:01.9807733Z import pkg_resources 2025-07-17T08:58:02.1118461Z Running test_complex 1/1 ... [2025-07-17 08:58:02.111428] 2025-07-17T08:58:02.1119146Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:02.1121471Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_complex.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:02.111817] 2025-07-17T08:58:03.0481290Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:03.0484105Z import pkg_resources 2025-07-17T08:58:03.1770270Z Running test_jiterator 1/1 ... [2025-07-17 08:58:03.176622] 2025-07-17T08:58:03.1770970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:03.1774323Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jiterator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:03.177056] 2025-07-17T08:58:03.9645903Z 2025-07-17T08:58:03.9647793Z dynamo/test_model_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_model_output_1.1_4c8ab1363561cd38_.log 2025-07-17T08:58:03.9649059Z 2025-07-17T08:58:05.6822006Z 2025-07-17T08:58:05.6823364Z test_complex 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_complex_1.1_ebf0fd20d2118dd0_.log 2025-07-17T08:58:05.6831997Z Running 15 items in this shard: test/test_complex.py::TestComplexTensorCPU::test_all_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_all_cpu_complex64, test/test_complex.py::TestComplexTensorCPU::test_any_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_any_cpu_complex64, test/test_complex.py::TestComplexTensorCPU::test_conj_copy_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_conj_copy_cpu_complex64, test/test_complex.py::TestComplexTensorCPU::test_dtype_inference_cpu_float16, test/test_complex.py::TestComplexTensorCPU::test_dtype_inference_cpu_float32, test/test_complex.py::TestComplexTensorCPU::test_dtype_inference_cpu_float64, test/test_complex.py::TestComplexTensorCPU::test_eq_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_eq_cpu_complex64, test/test_complex.py::TestComplexTensorCPU::test_ne_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_ne_cpu_complex64, test/test_complex.py::TestComplexTensorCPU::test_to_list_cpu_complex128, test/test_complex.py::TestComplexTensorCPU::test_to_list_cpu_complex64 2025-07-17T08:58:05.6840143Z 2025-07-17T08:58:06.6005189Z 2025-07-17T08:58:06.6006371Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_ea4b76bb09e4e6f3_.log 2025-07-17T08:58:06.6007566Z Running 0 items in this shard: 2025-07-17T08:58:06.6007864Z 2025-07-17T08:58:07.2335418Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:07.2338879Z import pkg_resources 2025-07-17T08:58:07.3648530Z Running functorch/test_minifier 1/1 ... [2025-07-17 08:58:07.364431] 2025-07-17T08:58:07.3649336Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:07.3651954Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:07.364854] 2025-07-17T08:58:08.9484268Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:08.9487319Z import pkg_resources 2025-07-17T08:58:09.0769323Z Running test_ops_fwd_gradients 1/2 ... [2025-07-17 08:58:09.076506] 2025-07-17T08:58:09.0770329Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:09.0772986Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:09.076898] 2025-07-17T08:58:09.9361144Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:09.9362833Z import pkg_resources 2025-07-17T08:58:10.0662995Z Running inductor/test_select_algorithm 1/1 ... [2025-07-17 08:58:10.065773] 2025-07-17T08:58:10.0664153Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:10.0666133Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_select_algorithm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:10.066216] 2025-07-17T08:58:11.2356146Z 2025-07-17T08:58:11.2357570Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_25d90098071e8a93_.log 2025-07-17T08:58:11.2361174Z Running 5 items in this shard: test/functorch/test_minifier.py::TestMinifier::test_has_add_mul, test/functorch/test_minifier.py::TestMinifier::test_has_mul_minifier, test/functorch/test_minifier.py::TestMinifier::test_input_returned, test/functorch/test_minifier.py::TestMinifier::test_module, test/functorch/test_minifier.py::TestMinifier::test_tup_use 2025-07-17T08:58:11.2364232Z 2025-07-17T08:58:14.6743231Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:14.6746501Z import pkg_resources 2025-07-17T08:58:14.8027201Z Running inductor/test_fxir_backend 1/1 ... [2025-07-17 08:58:14.802285] 2025-07-17T08:58:14.8028015Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:14.8029864Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fxir_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:14.802664] 2025-07-17T08:58:16.9745045Z 2025-07-17T08:58:16.9746729Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_46bf0a5983fe3774_.log 2025-07-17T08:58:16.9748371Z 2025-07-17T08:58:20.2856182Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:20.2857730Z import pkg_resources 2025-07-17T08:58:20.4151047Z Running inductor/test_cutlass_evt 1/1 ... [2025-07-17 08:58:20.414669] 2025-07-17T08:58:20.4151685Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:20.4153509Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_cutlass_evt.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:20.415067] 2025-07-17T08:58:21.8772191Z 2025-07-17T08:58:21.8773283Z inductor/test_fxir_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fxir_backend_1.1_2512d85be4c48a57_.log 2025-07-17T08:58:21.8775350Z 2025-07-17T08:58:25.2439916Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:25.2442821Z import pkg_resources 2025-07-17T08:58:25.3732018Z Running inductor/test_control_flow 1/1 ... [2025-07-17 08:58:25.372854] 2025-07-17T08:58:25.3732597Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:25.3735218Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_control_flow.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:25.373228] 2025-07-17T08:58:27.4994564Z 2025-07-17T08:58:27.4996134Z inductor/test_cutlass_evt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_evt_1.1_019edb61df941d7e_.log 2025-07-17T08:58:27.4997618Z 2025-07-17T08:58:31.1001821Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:31.1005076Z import pkg_resources 2025-07-17T08:58:31.2285663Z Running dynamo/test_export_mutations 1/1 ... [2025-07-17 08:58:31.228149] 2025-07-17T08:58:31.2286466Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:31.2288756Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_export_mutations.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:31.228529] 2025-07-17T08:58:32.6271642Z 2025-07-17T08:58:32.6273194Z inductor/test_control_flow 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_control_flow_1.1_cca7dfef90e92632_.log 2025-07-17T08:58:32.6274128Z 2025-07-17T08:58:34.6405103Z 2025-07-17T08:58:34.6406690Z dynamo/test_export_mutations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_mutations_1.1_7ab00b368485a492_.log 2025-07-17T08:58:34.6407478Z 2025-07-17T08:58:35.9701462Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:35.9704332Z import pkg_resources 2025-07-17T08:58:36.0969842Z Running inductor/test_binary_folding 1/1 ... [2025-07-17 08:58:36.096557] 2025-07-17T08:58:36.0970614Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:36.0974977Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_binary_folding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:36.097097] 2025-07-17T08:58:37.9179709Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:37.9182602Z import pkg_resources 2025-07-17T08:58:38.0478171Z Running inductor/test_torchinductor_codegen_config_overrides 1/1 ... [2025-07-17 08:58:38.047354] 2025-07-17T08:58:38.0479229Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:38.0481773Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_torchinductor_codegen_config_overrides.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:38.047729] 2025-07-17T08:58:43.5758828Z 2025-07-17T08:58:43.5760108Z inductor/test_binary_folding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_binary_folding_1.1_bf836974ca3aaf63_.log 2025-07-17T08:58:43.5760876Z 2025-07-17T08:58:45.0594983Z 2025-07-17T08:58:45.0596767Z inductor/test_torchinductor_codegen_config_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_config_overrides_1.1_4de9d50af8cb137b_.log 2025-07-17T08:58:46.8096878Z 2025-07-17T08:58:46.8098917Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:46.8100530Z import pkg_resources 2025-07-17T08:58:46.9361874Z Running xpu/test_conv 1/1 ... [2025-07-17 08:58:46.935756] 2025-07-17T08:58:46.9362636Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:46.9364627Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'xpu/test_conv.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:46.936131] 2025-07-17T08:58:48.3357332Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:48.3358875Z import pkg_resources 2025-07-17T08:58:48.4644214Z Running dynamo/test_optimizers 1/1 ... [2025-07-17 08:58:48.463984] 2025-07-17T08:58:48.4644963Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:48.4647080Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_optimizers.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:48.464349] 2025-07-17T08:58:50.6937453Z 2025-07-17T08:58:50.6938900Z xpu/test_conv 1/1 was successful, full logs can be found in artifacts with path test/test-reports/xpu.test_conv_1.1_19dd3466f3a50e98_.log 2025-07-17T08:58:50.6940388Z Running 0 items in this shard: 2025-07-17T08:58:50.6940766Z 2025-07-17T08:58:51.9102031Z 2025-07-17T08:58:51.9105678Z dynamo/test_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_optimizers_1.1_4578d940c03a2aaa_.log 2025-07-17T08:58:51.9106929Z 2025-07-17T08:58:53.9254886Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:53.9257694Z import pkg_resources 2025-07-17T08:58:54.0547990Z Running dynamo/test_sets 1/1 ... [2025-07-17 08:58:54.054380] 2025-07-17T08:58:54.0548783Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:54.0551254Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:54.054796] 2025-07-17T08:58:55.2978210Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:58:55.2981204Z import pkg_resources 2025-07-17T08:58:55.4260922Z Running dynamo/test_structured_trace 1/1 ... [2025-07-17 08:58:55.425660] 2025-07-17T08:58:55.4261728Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:58:55.4263962Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_structured_trace.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:58:55.426033] 2025-07-17T08:58:57.7096963Z 2025-07-17T08:58:57.7098305Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_d82f42dd246524a9_.log 2025-07-17T08:58:57.7099607Z 2025-07-17T08:59:01.3565855Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:59:01.3570413Z import pkg_resources 2025-07-17T08:59:01.4844202Z Running dynamo/test_debug_utils 1/1 ... [2025-07-17 08:59:01.483971] 2025-07-17T08:59:01.4845404Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:59:01.4847996Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_debug_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:59:01.484399] 2025-07-17T08:59:04.0297055Z 2025-07-17T08:59:04.0298359Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_6133459dfd97595a_.log 2025-07-17T08:59:04.0299113Z 2025-07-17T08:59:07.3688074Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:59:07.3690978Z import pkg_resources 2025-07-17T08:59:07.4968924Z Running dynamo/test_base_hop 1/1 ... [2025-07-17 08:59:07.496322] 2025-07-17T08:59:07.4970062Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:59:07.4973846Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_base_hop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:59:07.496738] 2025-07-17T08:59:08.9903926Z 2025-07-17T08:59:08.9905285Z dynamo/test_debug_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_debug_utils_1.1_7e31b1313691da68_.log 2025-07-17T08:59:08.9906287Z 2025-07-17T08:59:12.3037276Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:59:12.3040398Z import pkg_resources 2025-07-17T08:59:12.4358168Z Running inductor/test_memory 1/1 ... [2025-07-17 08:59:12.435033] 2025-07-17T08:59:12.4358962Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:59:12.4360809Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_memory.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:59:12.435424] 2025-07-17T08:59:15.2656218Z 2025-07-17T08:59:15.2658227Z dynamo/test_base_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_hop_1.1_18de60a85ad08c6d_.log 2025-07-17T08:59:15.2664876Z 2025-07-17T08:59:18.7905045Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:59:18.7908066Z import pkg_resources 2025-07-17T08:59:18.9209431Z Running dynamo/test_profiler 1/1 ... [2025-07-17 08:59:18.920400] 2025-07-17T08:59:18.9210158Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:59:18.9212290Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:59:18.920854] 2025-07-17T08:59:20.5289346Z 2025-07-17T08:59:20.5290713Z inductor/test_memory 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_memory_1.1_1dbac205424bd153_.log 2025-07-17T08:59:20.5292319Z 2025-07-17T08:59:23.0785236Z 2025-07-17T08:59:23.0786897Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_5851c137caca8fa5_.log 2025-07-17T08:59:23.0788384Z 2025-07-17T08:59:24.3615302Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:59:24.3618359Z import pkg_resources 2025-07-17T08:59:24.4899613Z Running dynamo/test_cudagraphs 1/1 ... [2025-07-17 08:59:24.489567] 2025-07-17T08:59:24.4903041Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:59:24.4905518Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:59:24.490112] 2025-07-17T08:59:27.2205635Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:59:27.2208420Z import pkg_resources 2025-07-17T08:59:27.3490528Z Running inductor/test_config 1/1 ... [2025-07-17 08:59:27.348647] 2025-07-17T08:59:27.3492262Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:59:27.3494149Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_config.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:59:27.349036] 2025-07-17T08:59:27.7023376Z 2025-07-17T08:59:27.7024816Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_de98d64fd270c5a5_.log 2025-07-17T08:59:27.7026198Z 2025-07-17T08:59:31.0588157Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:59:31.0589706Z import pkg_resources 2025-07-17T08:59:31.1874928Z Running dynamo/test_deviceguard 1/1 ... [2025-07-17 08:59:31.187144] 2025-07-17T08:59:31.1875632Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:59:31.1878351Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_deviceguard.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:59:31.187512] 2025-07-17T08:59:35.0317491Z 2025-07-17T08:59:35.0319323Z inductor/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_config_1.1_74dce1cd372a1021_.log 2025-07-17T08:59:35.0405065Z 2025-07-17T08:59:35.2114714Z 2025-07-17T08:59:35.2116452Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_512cdff3c89190f0_.log 2025-07-17T08:59:35.2118017Z 2025-07-17T08:59:38.3214952Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:59:38.3218211Z import pkg_resources 2025-07-17T08:59:38.4504956Z Running inductor/test_fused_attention 1/1 ... [2025-07-17 08:59:38.450032] 2025-07-17T08:59:38.4506012Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:59:38.4509428Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_fused_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:59:38.450502] 2025-07-17T08:59:38.7628705Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:59:38.7631875Z import pkg_resources 2025-07-17T08:59:38.9174136Z Running test_ops_gradients 2/2 ... [2025-07-17 08:59:38.916939] 2025-07-17T08:59:38.9174972Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:59:38.9178509Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:59:38.917451] 2025-07-17T08:59:45.6987646Z 2025-07-17T08:59:45.6988607Z inductor/test_fused_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_fused_attention_1.1_ba2186176ccd1ed9_.log 2025-07-17T08:59:45.6989368Z 2025-07-17T08:59:48.8708233Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:59:48.8711068Z import pkg_resources 2025-07-17T08:59:48.9983368Z Running test_pruning_op 1/1 ... [2025-07-17 08:59:48.997838] 2025-07-17T08:59:48.9985655Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:59:48.9987581Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_pruning_op.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:59:48.998318] 2025-07-17T08:59:53.0715727Z 2025-07-17T08:59:53.0717049Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_f018b91ea64a846b_.log 2025-07-17T08:59:53.0720247Z Running 2 items in this shard: test/test_pruning_op.py::PruningOpTest::test_rowwise_prune_op_32bit_indices, test/test_pruning_op.py::PruningOpTest::test_rowwise_prune_op_64bit_indices 2025-07-17T08:59:53.0721675Z 2025-07-17T08:59:56.8311809Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T08:59:56.8315065Z import pkg_resources 2025-07-17T08:59:57.0201377Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2025-07-17 08:59:57.019472] 2025-07-17T08:59:57.0202351Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T08:59:57.0210639Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 08:59:57.019940] 2025-07-17T09:00:01.7013709Z 2025-07-17T09:00:01.7015525Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_0f0a388382332e9c_.log 2025-07-17T09:00:01.7019454Z Running 2 items in this shard: test/test_set_default_mobile_cpu_allocator.py::TestSetDefaultMobileCPUAllocator::test_exception, test/test_set_default_mobile_cpu_allocator.py::TestSetDefaultMobileCPUAllocator::test_no_exception 2025-07-17T09:00:01.7021581Z 2025-07-17T09:00:05.6286639Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:00:05.6290315Z import pkg_resources 2025-07-17T09:00:05.8005775Z Running test_monitor 1/1 ... [2025-07-17 09:00:05.800116] 2025-07-17T09:00:05.8011811Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:00:05.8025489Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_monitor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:00:05.801991] 2025-07-17T09:00:09.8828619Z 2025-07-17T09:00:09.8830219Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_74760c174adf15db_.log 2025-07-17T09:00:09.8834201Z Running 6 items in this shard: test/test_monitor.py::TestMonitor::test_event_handler, test/test_monitor.py::TestMonitor::test_fixed_count_stat, test/test_monitor.py::TestMonitor::test_interval_stat, test/test_monitor.py::TestMonitor::test_log_event, test/test_monitor.py::TestMonitor::test_wait_counter, test/test_monitor.py::TestMonitorTensorboard::test_event_handler 2025-07-17T09:00:09.8837073Z 2025-07-17T09:00:13.5652210Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:00:13.5655367Z import pkg_resources 2025-07-17T09:00:13.6939616Z Running dynamo/test_verify_correctness 1/1 ... [2025-07-17 09:00:13.693572] 2025-07-17T09:00:13.6940395Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:00:13.6943195Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:00:13.693985] 2025-07-17T09:00:17.6111366Z 2025-07-17T09:00:17.6113373Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_6dc56095c86c418d_.log 2025-07-17T09:00:17.6114869Z 2025-07-17T09:00:20.9446831Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:00:20.9450092Z import pkg_resources 2025-07-17T09:00:21.0759121Z Running dynamo/test_backends 1/1 ... [2025-07-17 09:00:21.075491] 2025-07-17T09:00:21.0760275Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:00:21.0762476Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_backends.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:00:21.075893] 2025-07-17T09:00:27.9989637Z 2025-07-17T09:00:27.9991280Z dynamo/test_backends 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backends_1.1_cd7ed119608b7443_.log 2025-07-17T09:00:27.9992280Z 2025-07-17T09:00:31.1260541Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:00:31.1263782Z import pkg_resources 2025-07-17T09:00:31.2564515Z Running export/test_serialize 1/1 ... [2025-07-17 09:00:31.255922] 2025-07-17T09:00:31.2565355Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:00:31.2569744Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_serialize.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:00:31.256361] 2025-07-17T09:01:20.6667307Z 2025-07-17T09:01:20.6669019Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_7c7068666b3f458e_.log 2025-07-17T09:01:20.6739913Z Running 98 items in this shard: test/export/test_serialize.py::TestSerialize::test_canonicalize, test/export/test_serialize.py::TestSerialize::test_export_example_inputs_preserved, test/export/test_serialize.py::TestSerialize::test_export_with_extension_op_serialization, test/export/test_serialize.py::TestSerialize::test_int_list, test/export/test_serialize.py::TestSerialize::test_kwargs_default, test/export/test_serialize.py::TestSerialize::test_metadata_parsing_with_layer_split, test/export/test_serialize.py::TestSerialize::test_metadata_run_decomp_serder, test/export/test_serialize.py::TestSerialize::test_multi_return_some_unused, test/export/test_serialize.py::TestSerialize::test_nested_layer_split, test/export/test_serialize.py::TestSerialize::test_nonfinite_inputs, test/export/test_serialize.py::TestSerialize::test_predispatch_export_with_autograd_op, test/export/test_serialize.py::TestSerialize::test_rational_ranges, test/export/test_serialize.py::TestSerialize::test_serialize_constant_outputs, test/export/test_serialize.py::TestSerialize::test_serialize_infinite_sym_int, test/export/test_serialize.py::TestSerialize::test_serialize_list_returns, test/export/test_serialize.py::TestSerialize::test_serialize_multiple_returns_from_node, test/export/test_serialize.py::TestSerialize::test_serialize_sym_float, test/export/test_serialize.py::TestSerialize::test_serialize_sym_int, test/export/test_serialize.py::TestSerialize::test_symint_list, test/export/test_serialize.py::TestDeserialize::test_arg_from, test/export/test_serialize.py::TestDeserialize::test_auto_functionalize, test/export/test_serialize.py::TestDeserialize::test_basic, test/export/test_serialize.py::TestDeserialize::test_cond, test/export/test_serialize.py::TestDeserialize::test_constraints, test/export/test_serialize.py::TestDeserialize::test_custom_obj, test/export/test_serialize.py::TestDeserialize::test_custom_obj_list_out, test/export/test_serialize.py::TestDeserialize::test_custom_obj_tuple_out, test/export/test_serialize.py::TestDeserialize::test_device, test/export/test_serialize.py::TestDeserialize::test_dynamic, test/export/test_serialize.py::TestDeserialize::test_export_no_inputs, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_assume_constant_result, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_autograd_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_class_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_class_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_nested_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_nonlocal_variables, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_closed_over_variable, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_operands, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_predicate, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_constrain_as_size_example, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_constrain_as_value_example, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_decorator, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dictionary, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_assert, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_constructor, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_if_guard, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_map, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_slicing, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_view, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_fn_with_kwargs, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_list_contains, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_list_unpack, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_nested_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_null_context_manager, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_pytree_flatten, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_scalar_output, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_specialized_attribute, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_static_for_loop, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_static_if, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_tensor_setattr, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_type_reflection_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_user_input_mutation, test/export/test_serialize.py::TestDeserialize::test_get_attr, test/export/test_serialize.py::TestDeserialize::test_get_attr_list, test/export/test_serialize.py::TestDeserialize::test_hoo_symint_input, test/export/test_serialize.py::TestDeserialize::test_list_of_optional_tensors, test/export/test_serialize.py::TestDeserialize::test_map, test/export/test_serialize.py::TestDeserialize::test_module, test/export/test_serialize.py::TestDeserialize::test_module_meta, test/export/test_serialize.py::TestDeserialize::test_multi_return, test/export/test_serialize.py::TestDeserialize::test_multiple_getitem, test/export/test_serialize.py::TestDeserialize::test_none_input, test/export/test_serialize.py::TestDeserialize::test_optional_tuple, test/export/test_serialize.py::TestDeserialize::test_positional_argument_with_default_value, test/export/test_serialize.py::TestDeserialize::test_pytree_namedtuple, test/export/test_serialize.py::TestDeserialize::test_serialize_float8, test/export/test_serialize.py::TestDeserialize::test_shape, test/export/test_serialize.py::TestDeserialize::test_sym_bool, test/export/test_serialize.py::TestDeserialize::test_sym_bool_dynamic_shapes, test/export/test_serialize.py::TestDeserialize::test_sym_bool_torch_check_equal, test/export/test_serialize.py::TestDeserialize::test_sym_float, test/export/test_serialize.py::TestDeserialize::test_sym_int_torch_check_equal, test/export/test_serialize.py::TestDeserialize::test_sym_ite, test/export/test_serialize.py::TestDeserialize::test_tensor_tensor_list, test/export/test_serialize.py::TestDeserialize::test_unbacked_bindings_serialize, test/export/test_serialize.py::TestSchemaVersioning::test_error, test/export/test_serialize.py::TestSaveLoad::test_save_buffer, test/export/test_serialize.py::TestSaveLoad::test_save_constants, test/export/test_serialize.py::TestSaveLoad::test_save_extra, test/export/test_serialize.py::TestSaveLoad::test_save_file, test/export/test_serialize.py::TestSaveLoad::test_save_path, test/export/test_serialize.py::TestSaveLoad::test_version_error, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class_containing_fake_tensor, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class_input_to_function, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_copy, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_decomp, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_serialization 2025-07-17T09:01:20.6801862Z 2025-07-17T09:01:23.8936946Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:01:23.8940000Z import pkg_resources 2025-07-17T09:01:24.0232268Z Running test_segment_reductions 1/1 ... [2025-07-17 09:01:24.022774] 2025-07-17T09:01:24.0233831Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:01:24.0236729Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_segment_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:01:24.023261] 2025-07-17T09:01:28.8455110Z 2025-07-17T09:01:28.8457417Z test_segment_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_segment_reductions_1.1_be356c70cca643bd_.log 2025-07-17T09:01:28.8529120Z Running 74 items in this shard: test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_multi_d_simple_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_max_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_mean_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_min_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_prod_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_pytorch_scatter_test_cases_reduce_sum_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_1d_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_bfloat16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_bfloat16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float16_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float16_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float32_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float32_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float64_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_simple_zero_length_cpu_float64_int64, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_unsafe_flag_cpu_int32, test/test_segment_reductions.py::TestSegmentReductionsCPU::test_unsafe_flag_cpu_int64 2025-07-17T09:01:28.8600429Z 2025-07-17T09:01:31.9914556Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:01:31.9917805Z import pkg_resources 2025-07-17T09:01:32.1195920Z Running inductor/test_padding 1/1 ... [2025-07-17 09:01:32.119142] 2025-07-17T09:01:32.1196839Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:01:32.1199435Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_padding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:01:32.119577] 2025-07-17T09:01:39.0214674Z 2025-07-17T09:01:39.0216332Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_cd2d7f9567269d6d_.log 2025-07-17T09:01:39.0219307Z 2025-07-17T09:01:42.7307255Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:01:42.7308965Z import pkg_resources 2025-07-17T09:01:42.8552755Z Running test_out_dtype_op 1/1 ... [2025-07-17 09:01:42.854907] 2025-07-17T09:01:42.8553762Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:01:42.8556894Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_out_dtype_op.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:01:42.855301] 2025-07-17T09:01:52.3460929Z 2025-07-17T09:01:52.3464122Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_83db607ff3d75408_.log 2025-07-17T09:01:52.3473270Z Running 12 items in this shard: test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_dynamo, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_inductor_decomp, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_inductor_decomp_trace, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_int_mm_default_trace, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_make_fx, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_mm_numerical, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_mul_scalar_numerical, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_no_autograd, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_non_functional, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_non_op_overload, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_op_functional, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_wrong_output 2025-07-17T09:01:52.3566131Z 2025-07-17T09:01:55.8978379Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:01:55.8981563Z import pkg_resources 2025-07-17T09:01:56.0257164Z Running export/test_hop 1/1 ... [2025-07-17 09:01:56.025289] 2025-07-17T09:01:56.0258187Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:01:56.0260231Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_hop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:01:56.025715] 2025-07-17T09:02:15.0802530Z 2025-07-17T09:02:15.0804232Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_4fccafb05c34bf52_.log 2025-07-17T09:02:15.0833739Z Running 36 items in this shard: test/export/test_hop.py::TestHOPCPU::test_aot_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_while_loop_simple_cpu_float32 2025-07-17T09:02:15.0859636Z 2025-07-17T09:02:18.4208369Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:02:18.4211707Z import pkg_resources 2025-07-17T09:02:18.5500209Z Running dynamo/test_higher_order_ops 1/1 ... [2025-07-17 09:02:18.549560] 2025-07-17T09:02:18.5501251Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:02:18.5503910Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:02:18.549968] 2025-07-17T09:02:27.1727188Z 2025-07-17T09:02:27.1729238Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_c54c4fef571ec4c9_.log 2025-07-17T09:02:27.1730757Z 2025-07-17T09:02:31.0789123Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:02:31.0793092Z import pkg_resources 2025-07-17T09:02:31.2077353Z Running test_cuda_sanitizer 1/1 ... [2025-07-17 09:02:31.207209] 2025-07-17T09:02:31.2078655Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:02:31.2082686Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_sanitizer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:02:31.207655] 2025-07-17T09:02:34.6754608Z 2025-07-17T09:02:34.6756429Z test_cuda_sanitizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_sanitizer_1.1_3215173dcbf829ff_.log 2025-07-17T09:02:34.6757498Z Running 0 items in this shard: 2025-07-17T09:02:34.6757748Z 2025-07-17T09:02:38.5220788Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:02:38.5224550Z import pkg_resources 2025-07-17T09:02:38.6525790Z Running test_model_exports_to_core_aten 1/1 ... [2025-07-17 09:02:38.652119] 2025-07-17T09:02:38.6526857Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:02:38.6528925Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_model_exports_to_core_aten.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:02:38.652503] 2025-07-17T09:02:42.8260363Z 2025-07-17T09:02:42.8261595Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_4cd6e90defaee65c_.log 2025-07-17T09:02:42.8262996Z Running 1 items in this shard: test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export 2025-07-17T09:02:42.8263828Z 2025-07-17T09:02:46.7710646Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:02:46.7713918Z import pkg_resources 2025-07-17T09:02:46.9582507Z Running test_mkldnn 1/1 ... [2025-07-17 09:02:46.957831] 2025-07-17T09:02:46.9584797Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:02:46.9587307Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:02:46.958322] 2025-07-17T09:03:50.7441223Z 2025-07-17T09:03:50.7442789Z test_ops_fwd_gradients 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.2_7ac525dcd707b593_.log 2025-07-17T09:03:50.8760743Z Running 1603 items in this shard: test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_H_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_T_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___getitem___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___radd___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___radd___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rdiv___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rdiv___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmatmul___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmul___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rsub___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__segment_reduce_offsets_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__unsafe_masked_index_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_abs_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acos_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acos_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acosh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_add_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_add_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addbmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addbmm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addcdiv_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addcmul_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addmm_decomposed_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_addr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_alias_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_alias_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_allclose_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_amin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_aminmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_arange_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argsort_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argwhere_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argwhere_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_partial_views_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_scatter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_asin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_asinh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atan_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atanh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_3d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_atleast_3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_baddbmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_baddbmm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bernoulli_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bfloat16_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_block_diag_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_block_diag_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_bool_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_tensors_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_tensors_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_broadcast_to_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cartesian_prod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cat_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cdist_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cdouble_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cfloat_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_char_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_inverse_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cholesky_solve_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_chunk_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_clamp_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_clamp_max_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_clamp_min_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_column_stack_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_column_stack_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_combinations_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_combinations_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_complex_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_conj_physical_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_conj_physical_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_constant_pad_nd_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_constant_pad_nd_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_contiguous_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_copysign_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cos_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_count_nonzero_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_count_nonzero_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cov_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cross_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cummax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cumprod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cumsum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cumulative_trapezoid_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_cumulative_trapezoid_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_deg2rad_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_diag_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_diag_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_diag_embed_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_diag_embed_cpu_float64, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_logsumexp_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_normalize_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_prod_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_prod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_select_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_select_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_softmin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_std_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_var_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_matmul_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_matmul_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_matrix_exp_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_binary_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_pool2d_with_indices_backward_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_reduction_no_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_reduction_with_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_msort_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mul_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mul_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_multinomial_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mv_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mv_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nanmean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nansum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_native_batch_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_native_dropout_backward_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_native_layer_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ne_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_empty_strided_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_empty_strided_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_full_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_ones_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nextafter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_avg_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_avg_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_bilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_celu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_channel_shuffle_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_channel_shuffle_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv1d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv2d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose2d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_cosine_similarity_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_cross_entropy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_dropout2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_dropout_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_elu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_embedding_bag_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_glu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardshrink_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardtanh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_huber_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_instance_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_bilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_trilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_kl_div_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_l1_loss_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_l1_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_layer_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_leaky_relu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_linear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_local_response_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_grad_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_mish_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_mse_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multi_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_nll_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_normalize_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_normalize_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_circular_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_negative_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_negative_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_relu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_rms_norm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_rms_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_silu_complex_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_silu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_smooth_l1_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_soft_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softplus_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softsign_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_upsample_nearest_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_static_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_fro_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_normal_in_place_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ormqr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_outer_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pca_lowrank_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pca_lowrank_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_permute_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pinverse_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pinverse_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polar_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_2_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_3_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pow_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pow_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_qr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_quantile_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rand_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randint_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randint_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ravel_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_real_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reciprocal_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reciprocal_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_remainder_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_repeat_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_repeat_interleave_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_repeat_interleave_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reshape_as_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reshape_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resize__cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resize__cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resize_as__cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resolve_conj_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_resolve_neg_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_roll_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rot90_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rot90_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_round_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_round_decimals_0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_round_decimals_3_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rsqrt_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rsub_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scalar_tensor_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scalar_tensor_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scatter_add_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_scatter_reduce_amin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_searchsorted_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_select_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_select_scatter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sgn_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sigmoid_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sign_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_blackman_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_general_hamming_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_hamming_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_hann_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_signal_windows_nuttall_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sin_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sinc_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sinc_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sinh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sinh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_softmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_softmax_with_dtype_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_softmax_with_dtype_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sort_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sparse_sampled_addmm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_airy_ai_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_bessel_j1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_bessel_y0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_bessel_y1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_chebyshev_polynomial_w_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_erfcx_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_hermite_polynomial_he_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_i1e_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_laguerre_polynomial_l_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_legendre_polynomial_p_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_modified_bessel_i1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_modified_bessel_k1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_ndtr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_ndtri_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_scaled_modified_bessel_k0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_scaled_modified_bessel_k1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_special_xlog1py_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_split_list_args_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_split_with_sizes_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_squeeze_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_squeeze_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_squeeze_multiple_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_std_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_std_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_std_unbiased_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sub_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sub_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sum_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_sum_to_size_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_svd_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_svd_lowrank_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_t_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_t_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_t_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_t_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_take_along_dim_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_take_along_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_take_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tan_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tanh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tensordot_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tile_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_to_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_to_sparse_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trace_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_transpose_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_transpose_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_transpose_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trapezoid_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trapezoid_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trapz_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_triangular_solve_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_triangular_solve_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trunc_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unbind_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unbind_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unbind_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unflatten_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unfold_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unfold_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_uniform_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unique_consecutive_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsafe_split_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsafe_split_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsqueeze_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_mean_unbiased_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_unbiased_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_unbiased_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vdot_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_as_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_as_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_as_real_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vsplit_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vstack_cpu_complex128 2025-07-17T09:03:50.9544566Z 2025-07-17T09:03:55.1756601Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:03:55.1760128Z import pkg_resources 2025-07-17T09:03:55.3714168Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-07-17 09:03:55.370904] 2025-07-17T09:03:55.3715588Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:03:55.3720525Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_function_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:03:55.371394] 2025-07-17T09:04:03.0009649Z 2025-07-17T09:04:03.0011933Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_e3b73ff7a9d28e14_.log 2025-07-17T09:04:03.0470747Z Running 505 items in this shard: test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_rotation_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis2, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_4d, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_basic_lr, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_basic_ud, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_default_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_multiple_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestAny::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAny::test_nd, test/torch_np/numpy_tests/lib/test_function_base.py::TestAll::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAll::test_nd, test/torch_np/numpy_tests/lib/test_function_base.py::TestCopy::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestCopy::test_order, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_average_class_without_dtype, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_basic_keepdims_x0_axis0_expected_avg0_weights0_expected_wavg0_expected_wsum0, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_basic_keepdims_x1_axis_0_expected_avg1_weights1_expected_wavg1_expected_wsum1, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_returned, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_upcasting, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_weights, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_broadcasting, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_deprecated_empty, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_many_arguments, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_non_bool_deprecation, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_return_dtype, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_0d, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_array_copied, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_floats, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_out_of_bounds_idx_-4, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_out_of_bounds_idx_4, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_multidim, test/torch_np/numpy_tests/lib/test_function_base.py::TestAmax::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAmin::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestPtp::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestCumsum::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestProd::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestCumprod::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_append, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_n, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_nd, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_prepend, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_0d, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_array_order_preserve, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_fancy, test/torch_np/numpy_tests/lib/test_function_base.py::TestDelete::test_index_floats, 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test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_B_expected_dtype0_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_closest_observation_expected_20, 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test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_closest_observation_expected_20, 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test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nan_behavior, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nan_q, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_no_p_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_out, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_out_nan, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_empty_dim, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_list, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_no_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_out, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_scalar_q, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_scalar_q_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_sequence, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_complex, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_correct_quantile_value, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_fraction, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_max_ulp, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_no_p_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_hypo, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_averaged_inverted_cdf, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_closest_observation, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_hazen, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_higher, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_interpolated_inverted_cdf, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_inverted_cdf, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_linear, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_lower, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_median_unbiased, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_midpoint, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_nearest, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_normal_unbiased, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_weibull, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_scalar_nan, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_array_like, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_axis_keyword, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_basic_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_empty, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_extended_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_extended_axis_invalid, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis0, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis3, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis4, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_nan_behavior, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_nan_behavior_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_nan_behavior_3, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_out, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_out_nan, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_overwrite_keyword, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_complex, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_B_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_H_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_b_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_g_type_out_G, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_h_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_l_type_out_D 2025-07-17T09:04:03.0887730Z 2025-07-17T09:04:07.7397104Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:04:07.7400472Z import pkg_resources 2025-07-17T09:04:07.9414388Z Running lazy/test_functionalization 1/1 ... [2025-07-17 09:04:07.940891] 2025-07-17T09:04:07.9415603Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:04:07.9418978Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_functionalization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:04:07.941411] 2025-07-17T09:04:13.2161224Z 2025-07-17T09:04:13.2163981Z lazy/test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_functionalization_1.1_3a2c954caa8870db_.log 2025-07-17T09:04:13.2168117Z Running 2 items in this shard: test/lazy/test_functionalization.py::LazyFuncionalizationTest::test_data_assign, test/lazy/test_functionalization.py::LazyFuncionalizationTest::test_lazy_init_with_view 2025-07-17T09:04:13.2170765Z 2025-07-17T09:04:17.0384986Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:04:17.0386821Z import pkg_resources 2025-07-17T09:04:17.0614001Z 2025-07-17T09:04:17.0615500Z test_mkldnn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_1.1_6ff82664e0074d9d_.log 2025-07-17T09:04:17.0639059Z Running 90 items in this shard: test/test_mkldnn.py::TestMkldnnCPU::test_0_dimension_tensor_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_adaptive_avg_pool2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_adaptive_avg_pool2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_add_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_autograd_from_mkldnn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_autograd_to_mkldnn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool2d_stride_none_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool3d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_3d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_clone_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv1d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv1d_functional_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv2d_legacy_jit_model_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_1d_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_1d_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_2d_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_2d_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_3d_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_3d_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_nhwc_fp32_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_nhwc_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_nhwc_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose1d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose_nhwc_fp32_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose_nhwc_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose_nhwc_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conversion_byte_char_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conversion_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_copy_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_default_use_parent_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_detach_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_empty_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_gelu_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_gelu_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_generic_precision_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_invalid_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_is_mkldnn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_is_mkldnn_jit_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_legacy_new_failure_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_linear_backward_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_linear_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_linear_lowp_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_linear_lowp_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_linear_non_contiguous_weight_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_lstm_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_matmul_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_matmul_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool2d_stride_none_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool3d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool_unsupported_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_conv_shapecheck_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_error_on_zero_stride_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_scaled_mm_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_setflags_nowarn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mlkdnn_get_set_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mul_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_prelu_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_prelu_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu__cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu_inplace_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_repr_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_reshape_backward_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_reshape_blocked_format_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_reshape_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_resnet18_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_resnext50_32x4d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_set_data_tensorimpl_type_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_sigmoid_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_softmax_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_tanh_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_transpose_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_transpose_invalid_dime_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_unsupported_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_view_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_zero__cpu 2025-07-17T09:04:17.0662342Z 2025-07-17T09:04:17.1707560Z Running test_jit 1/1 ... [2025-07-17 09:04:17.170333] 2025-07-17T09:04:17.1708631Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:04:17.1721061Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:04:17.170742] 2025-07-17T09:04:20.3474144Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:04:20.3476771Z import pkg_resources 2025-07-17T09:04:20.4756744Z Running dynamo/test_einops 1/1 ... [2025-07-17 09:04:20.475231] 2025-07-17T09:04:20.4757722Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:04:20.4760156Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_einops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:04:20.475637] 2025-07-17T09:04:23.6528423Z 2025-07-17T09:04:23.6530005Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_17458255b63f706a_.log 2025-07-17T09:04:23.6531165Z 2025-07-17T09:04:27.3330761Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:04:27.3333891Z import pkg_resources 2025-07-17T09:04:27.5018087Z Running test_modules 1/2 ... [2025-07-17 09:04:27.501378] 2025-07-17T09:04:27.5018719Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:04:27.5021912Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:04:27.501803] 2025-07-17T09:06:11.1533655Z 2025-07-17T09:06:11.1534981Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_7986dfbe9e8b6f4a_.log 2025-07-17T09:06:11.2732960Z Running 2458 items in this shard: test/test_jit.py::TestTracer::test_call_traced_fn_from_traced_module, test/test_jit.py::TestTracer::test_call_traced_module_from_traced_module, test/test_jit.py::TestTracer::test_canonicalize_tensor_iterator, test/test_jit.py::TestTracer::test_constant, test/test_jit.py::TestTracer::test_conv, test/test_jit.py::TestTracer::test_export_no_reorder, test/test_jit.py::TestTracer::test_force_outplace_check_fill, test/test_jit.py::TestTracer::test_force_outplace_check_zero, test/test_jit.py::TestTracer::test_ge, test/test_jit.py::TestTracer::test_ge_cuda, test/test_jit.py::TestTracer::test_ge_optimized, test/test_jit.py::TestTracer::test_ge_unoptimized, test/test_jit.py::TestTracer::test_index_put, test/test_jit.py::TestTracer::test_index_put_trace_with_view, test/test_jit.py::TestTracer::test_index_put_trace_without_view, test/test_jit.py::TestTracer::test_inplace_check, test/test_jit.py::TestTracer::test_inplace_copy, test/test_jit.py::TestTracer::test_inplace_copy_force_outplace, test/test_jit.py::TestTracer::test_inplace_flags, test/test_jit.py::TestTracer::test_inplace_transplant, test/test_jit.py::TestTracer::test_inplace_warn, test/test_jit.py::TestTracer::test_input_dict_checkTrace_mut, test/test_jit.py::TestTracer::test_input_dict_empty, test/test_jit.py::TestTracer::test_input_dict_empty_list, test/test_jit.py::TestTracer::test_input_dict_insertion_order, test/test_jit.py::TestTracer::test_input_dict_of_dicts, test/test_jit.py::TestTracer::test_input_dict_of_lists, test/test_jit.py::TestTracer::test_input_dict_recursive, test/test_jit.py::TestTracer::test_input_dict_remembers_keys, test/test_jit.py::TestTracer::test_input_dict_unify, test/test_jit.py::TestTracer::test_input_flatten, test/test_jit.py::TestTracer::test_input_list_mixed_type, test/test_jit.py::TestTracer::test_input_list_of_tuples, test/test_jit.py::TestTracer::test_input_list_toplevel_flatten, test/test_jit.py::TestTracer::test_input_list_toplevel_flatten_direct, test/test_jit.py::TestTracer::test_input_tuple_of_dicts, test/test_jit.py::TestTracer::test_interpolate_trace, test/test_jit.py::TestTracer::test_large_nbr_kernel_args, test/test_jit.py::TestTracer::test_lhs_index_fails, test/test_jit.py::TestTracer::test_lhs_index_trivial, test/test_jit.py::TestTracer::test_max_pool, test/test_jit.py::TestTracer::test_nested_inplace, test/test_jit.py::TestTracer::test_non_tensor_tracing, test/test_jit.py::TestTracer::test_output_unflatten, test/test_jit.py::TestTracer::test_python_function, test/test_jit.py::TestTracer::test_python_function_tup, test/test_jit.py::TestTracer::test_repeated_input, test/test_jit.py::TestTracer::test_repeated_output, test/test_jit.py::TestTracer::test_shared_param, test/test_jit.py::TestTracer::test_simple, test/test_jit.py::TestTracer::test_tensor_with_grad_as_constant, test/test_jit.py::TestTracer::test_trace_aliased_parameter, test/test_jit.py::TestTracer::test_trace_annotation, test/test_jit.py::TestTracer::test_trace_arange, test/test_jit.py::TestTracer::test_trace_arange_with_grad, test/test_jit.py::TestTracer::test_trace_autograd_function, test/test_jit.py::TestTracer::test_trace_casts, test/test_jit.py::TestTracer::test_trace_checker_control_flow, test/test_jit.py::TestTracer::test_trace_checker_dot_data, test/test_jit.py::TestTracer::test_trace_checker_dropout_notrain, test/test_jit.py::TestTracer::test_trace_checker_dropout_train, test/test_jit.py::TestTracer::test_trace_checker_inplace_on_view, test/test_jit.py::TestTracer::test_trace_checker_memoization, test/test_jit.py::TestTracer::test_trace_checker_slice_lhs, test/test_jit.py::TestTracer::test_trace_checking_with_deprecated_name, test/test_jit.py::TestTracer::test_trace_checking_with_global_name, test/test_jit.py::TestTracer::test_trace_contiguous, test/test_jit.py::TestTracer::test_trace_contiguous_short_circuit, test/test_jit.py::TestTracer::test_trace_detach, test/test_jit.py::TestTracer::test_trace_detach_inplace, test/test_jit.py::TestTracer::test_trace_detach_inplace_redispatch, test/test_jit.py::TestTracer::test_trace_detach_redispatch, test/test_jit.py::TestTracer::test_trace_dict_input, test/test_jit.py::TestTracer::test_trace_dict_output, test/test_jit.py::TestTracer::test_trace_export_fns, test/test_jit.py::TestTracer::test_trace_export_fns_recursive, test/test_jit.py::TestTracer::test_trace_fork_join_and_module, test/test_jit.py::TestTracer::test_trace_full_dynamic_shape, test/test_jit.py::TestTracer::test_trace_func_argument_names_captured, test/test_jit.py::TestTracer::test_trace_index, test/test_jit.py::TestTracer::test_trace_index_constant, test/test_jit.py::TestTracer::test_trace_indexed_assignment, test/test_jit.py::TestTracer::test_trace_inline_shape, test/test_jit.py::TestTracer::test_trace_inverse, test/test_jit.py::TestTracer::test_trace_invert_module_hierarchy, test/test_jit.py::TestTracer::test_trace_legacy_ctor, test/test_jit.py::TestTracer::test_trace_module_argument_names_captured, test/test_jit.py::TestTracer::test_trace_modulelist, test/test_jit.py::TestTracer::test_trace_multi_output_function, test/test_jit.py::TestTracer::test_trace_namedtuple, test/test_jit.py::TestTracer::test_trace_nested_datatypes, test/test_jit.py::TestTracer::test_trace_nested_fn, test/test_jit.py::TestTracer::test_trace_no_duplicated_lifted_input_output, test/test_jit.py::TestTracer::test_trace_numel, test/test_jit.py::TestTracer::test_trace_optioanl_dtype, test/test_jit.py::TestTracer::test_trace_optional, test/test_jit.py::TestTracer::test_trace_out_operator_with_two_output, test/test_jit.py::TestTracer::test_trace_partial_func_argument_names_captured, test/test_jit.py::TestTracer::test_trace_random, test/test_jit.py::TestTracer::test_trace_records_names, test/test_jit.py::TestTracer::test_trace_save, test/test_jit.py::TestTracer::test_trace_save_load_copy, test/test_jit.py::TestTracer::test_trace_single_tuple, test/test_jit.py::TestTracer::test_trace_size, test/test_jit.py::TestTracer::test_trace_size_with_grad, test/test_jit.py::TestTracer::test_trace_skip_none_submodule, test/test_jit.py::TestTracer::test_trace_slice, test/test_jit.py::TestTracer::test_trace_slice_expr_complete_type, test/test_jit.py::TestTracer::test_trace_slice_full_dim, test/test_jit.py::TestTracer::test_trace_slice_setitem_dynamic_shape, test/test_jit.py::TestTracer::test_trace_slice_with_grad, test/test_jit.py::TestTracer::test_trace_tensor_factory, test/test_jit.py::TestTracer::test_trace_topk, test/test_jit.py::TestTracer::test_trace_tuple, test/test_jit.py::TestTracer::test_trace_variable_instantiation, test/test_jit.py::TestTracer::test_trace_warn, test/test_jit.py::TestTracer::test_trace_with_conditional_property, test/test_jit.py::TestTracer::test_trace_with_nested_strided_tensor_output, test/test_jit.py::TestTracer::test_trace_with_nested_tensor_list_output, test/test_jit.py::TestTracer::test_trace_with_number_list_output, test/test_jit.py::TestTracer::test_trace_with_tensor_list_output, test/test_jit.py::TestTracer::test_trace_with_tuple_tensor, test/test_jit.py::TestTracer::test_traced_module_cuda, test/test_jit.py::TestTracer::test_tracing_backward_hook_error, test/test_jit.py::TestTracer::test_tracing_hooks, test/test_jit.py::TestTracer::test_tracing_multiple_methods, test/test_jit.py::TestTracer::test_type_same_device, test/test_jit.py::TestTracer::test_typeas_trace_check, test/test_jit.py::TestTracer::test_wrapped_number, test/test_jit.py::TestMixTracingScripting::test_call_script_fn_from_traced_module, test/test_jit.py::TestMixTracingScripting::test_call_script_module_from_traced_module, test/test_jit.py::TestMixTracingScripting::test_call_traced_fn_from_script_fn, test/test_jit.py::TestMixTracingScripting::test_call_traced_mod_from_script_fn, test/test_jit.py::TestMixTracingScripting::test_call_tracing_fn_from_script_module, test/test_jit.py::TestMixTracingScripting::test_call_tracing_mod_from_script_module, test/test_jit.py::TestMixTracingScripting::test_jit_trace_callfunction_return_shapes, test/test_jit.py::TestMixTracingScripting::test_script_inline_trace_multiple_args, test/test_jit.py::TestMixTracingScripting::test_trace_dict_mix_script, test/test_jit.py::TestMixTracingScripting::test_trace_hierarchy, test/test_jit.py::TestMixTracingScripting::test_trace_linear, test/test_jit.py::TestMixTracingScripting::test_trace_mixed_by_script_with_dict_output, test/test_jit.py::TestMixTracingScripting::test_trace_of_script, test/test_jit.py::TestMixTracingScripting::test_trace_parameter, test/test_jit.py::TestMixTracingScripting::test_trace_returning_dict_with_tensor_tuples, test/test_jit.py::TestMixTracingScripting::test_trace_script, test/test_jit.py::TestMixTracingScripting::test_trace_script_returning_complex_dict, test/test_jit.py::TestMixTracingScripting::test_trace_with_size, test/test_jit.py::TestMixTracingScripting::test_traced_module_contains_scripted_interface_types, test/test_jit.py::TestMixTracingScripting::test_traced_module_implements_interface, test/test_jit.py::TestMixTracingScripting::test_tracing_indexing, test/test_jit.py::TestMixTracingScripting::test_tracing_slicing, test/test_jit.py::TestRecursiveScript::test_attributes, test/test_jit.py::TestRecursiveScript::test_class_compile, test/test_jit.py::TestRecursiveScript::test_constants_with_final, test/test_jit.py::TestRecursiveScript::test_dir, test/test_jit.py::TestRecursiveScript::test_error_stack, test/test_jit.py::TestRecursiveScript::test_error_stack_annotation, test/test_jit.py::TestRecursiveScript::test_error_stack_class, test/test_jit.py::TestRecursiveScript::test_error_stack_module, test/test_jit.py::TestRecursiveScript::test_failed_function_compilation, test/test_jit.py::TestRecursiveScript::test_function_attribute_in_submodule, test/test_jit.py::TestRecursiveScript::test_ignore_class, test/test_jit.py::TestRecursiveScript::test_inferred_nonetype, test/test_jit.py::TestRecursiveScript::test_init_error, test/test_jit.py::TestRecursiveScript::test_inner_traced_module, test/test_jit.py::TestRecursiveScript::test_iterable_modules, test/test_jit.py::TestRecursiveScript::test_method_call, test/test_jit.py::TestRecursiveScript::test_module_basic, test/test_jit.py::TestRecursiveScript::test_module_function_export, test/test_jit.py::TestRecursiveScript::test_module_name, test/test_jit.py::TestRecursiveScript::test_module_repr, test/test_jit.py::TestRecursiveScript::test_optional_module, test/test_jit.py::TestRecursiveScript::test_override_instance_method_ignore, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_basic, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_cycle, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_escape_hatch, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_iterable_modules, test/test_jit.py::TestRecursiveScript::test_python_function_attribute, test/test_jit.py::TestRecursiveScript::test_repeated_error_stack, test/test_jit.py::TestRecursiveScript::test_script_after_eval, test/test_jit.py::TestRecursiveScript::test_script_basic, test/test_jit.py::TestRecursiveScript::test_script_function_attribute, test/test_jit.py::TestRecursiveScript::test_script_loaded_module, test/test_jit.py::TestTypeSharing::test_assign_python_attr, test/test_jit.py::TestTypeSharing::test_basic, test/test_jit.py::TestTypeSharing::test_builtin_function_different, test/test_jit.py::TestTypeSharing::test_builtin_function_same, test/test_jit.py::TestTypeSharing::test_constants, test/test_jit.py::TestTypeSharing::test_diff_attr_values, test/test_jit.py::TestTypeSharing::test_failed_attribute_compilation, test/test_jit.py::TestTypeSharing::test_ignored_fns, test/test_jit.py::TestTypeSharing::test_linear, test/test_jit.py::TestTypeSharing::test_loaded_modules_work, test/test_jit.py::TestTypeSharing::test_module_dict_same_type_different_name, test/test_jit.py::TestTypeSharing::test_mutate_attr_value, test/test_jit.py::TestTypeSharing::test_param_vs_attribute, test/test_jit.py::TestTypeSharing::test_python_function_attribute_different, test/test_jit.py::TestTypeSharing::test_python_function_attribute_same, test/test_jit.py::TestTypeSharing::test_same_but_different_classes, test/test_jit.py::TestTypeSharing::test_script_function_attribute_different, test/test_jit.py::TestTypeSharing::test_script_function_attribute_same, test/test_jit.py::TestTypeSharing::test_script_module_containing_traced_module, test/test_jit.py::TestTypeSharing::test_submodules, test/test_jit.py::TestTypeSharing::test_tracing_gives_different_types, test/test_jit.py::TestTypeSharing::test_type_not_shared_ignored_attributes, test/test_jit.py::TestTypeSharing::test_type_shared_ignored_attributes, test/test_jit.py::TestTypeSharing::test_type_sharing_define_in_init, test/test_jit.py::TestTypeSharing::test_type_sharing_disabled, test/test_jit.py::TestLogging::test_bump_numeric_counter, test/test_jit.py::TestLogging::test_counter_aggregation, test/test_jit.py::TestLogging::test_logging_levels_set, test/test_jit.py::TestLogging::test_time_measurement_counter, test/test_jit.py::TestLogging::test_time_measurement_counter_script, test/test_jit.py::TestLogging::test_trace_numeric_counter, test/test_jit.py::TestBackends::test_errors, test/test_jit.py::TestBackends::test_execution, test/test_jit.py::TestBackends::test_save_load, test/test_jit.py::TestBackendsWithCompiler::test_errors, test/test_jit.py::TestBackendsWithCompiler::test_execution, test/test_jit.py::TestNnapiBackend::test_adaptive_avg_pool2d, test/test_jit.py::TestNnapiBackend::test_avg_pool2d, test/test_jit.py::TestNnapiBackend::test_cat, test/test_jit.py::TestNnapiBackend::test_compile_spec_santiy, test/test_jit.py::TestNnapiBackend::test_conv2d, test/test_jit.py::TestNnapiBackend::test_conv2d_transpose, test/test_jit.py::TestNnapiBackend::test_dequantize, test/test_jit.py::TestNnapiBackend::test_detach, test/test_jit.py::TestNnapiBackend::test_flatten, test/test_jit.py::TestNnapiBackend::test_hardtanh, test/test_jit.py::TestNnapiBackend::test_linear, test/test_jit.py::TestNnapiBackend::test_log_softmax, test/test_jit.py::TestNnapiBackend::test_max_pool2d, test/test_jit.py::TestNnapiBackend::test_mean, test/test_jit.py::TestNnapiBackend::test_multi_output, test/test_jit.py::TestNnapiBackend::test_pointwise_binary, test/test_jit.py::TestNnapiBackend::test_pointwise_binary_const, test/test_jit.py::TestNnapiBackend::test_pointwise_unary, test/test_jit.py::TestNnapiBackend::test_prelu, test/test_jit.py::TestNnapiBackend::test_qadd, test/test_jit.py::TestNnapiBackend::test_qlinear, test/test_jit.py::TestNnapiBackend::test_quantize, test/test_jit.py::TestNnapiBackend::test_reshape, test/test_jit.py::TestNnapiBackend::test_seblock_mul, test/test_jit.py::TestNnapiBackend::test_slice, test/test_jit.py::TestNnapiBackend::test_softmax, test/test_jit.py::TestNnapiBackend::test_tensor_input, test/test_jit.py::TestNnapiBackend::test_to, test/test_jit.py::TestNnapiBackend::test_unsqueeze, test/test_jit.py::TestNnapiBackend::test_upsample_nearest2d, test/test_jit.py::TestList::test_comprehension_iterable, test/test_jit.py::TestList::test_comprehension_out_type_not_in_type, test/test_jit.py::TestList::test_comprehensions_basic, test/test_jit.py::TestList::test_comprehensions_basic_float, test/test_jit.py::TestList::test_comprehensions_two_comps, test/test_jit.py::TestList::test_copy_list_immutable, test/test_jit.py::TestList::test_copy_list_mutable, test/test_jit.py::TestList::test_del, test/test_jit.py::TestList::test_dict_keyword_is_correctly_typed, test/test_jit.py::TestList::test_dict_keyword_with_dict_comprehension, test/test_jit.py::TestList::test_dict_keyword_with_dict_comprehension_and_kwargs, test/test_jit.py::TestList::test_dict_keyword_with_empty_dict_comprehension, test/test_jit.py::TestList::test_dict_keyword_with_empty_iterable, test/test_jit.py::TestList::test_dict_keyword_with_internal_aggregate_function, test/test_jit.py::TestList::test_dict_keyword_with_iterable, test/test_jit.py::TestList::test_dict_keyword_with_kwargs, test/test_jit.py::TestList::test_dict_keyword_with_kwargs_using_container_values, test/test_jit.py::TestList::test_dict_keyword_with_mapping, test/test_jit.py::TestList::test_dict_keyword_with_mapping_and_kwargs, test/test_jit.py::TestList::test_dict_keyword_with_mismatched_annotations, test/test_jit.py::TestList::test_dict_keyword_with_nested_call, test/test_jit.py::TestList::test_dict_keyword_with_previously_declared_variable, test/test_jit.py::TestList::test_dict_keyword_with_previously_declared_variable_and_kwargs, test/test_jit.py::TestList::test_extend_list_immutable, test/test_jit.py::TestList::test_extend_list_mutable, test/test_jit.py::TestList::test_in_check, test/test_jit.py::TestList::test_list_bool_conversion, test/test_jit.py::TestList::test_list_count, test/test_jit.py::TestList::test_list_count_not_existing, test/test_jit.py::TestList::test_list_gather, test/test_jit.py::TestList::test_list_index, test/test_jit.py::TestList::test_list_index_not_existing, test/test_jit.py::TestList::test_list_keyword, test/test_jit.py::TestList::test_list_len, test/test_jit.py::TestList::test_list_literal, test/test_jit.py::TestList::test_list_none, test/test_jit.py::TestList::test_list_ops, test/test_jit.py::TestList::test_list_slice, test/test_jit.py::TestList::test_list_sort, test/test_jit.py::TestList::test_list_unification_hint, test/test_jit.py::TestList::test_list_variance, test/test_jit.py::TestList::test_min_bool_list, test/test_jit.py::TestList::test_min_max_list, test/test_jit.py::TestList::test_min_max_single_list, test/test_jit.py::TestList::test_mutable_list_append, test/test_jit.py::TestList::test_mutable_list_append_2, test/test_jit.py::TestList::test_mutable_list_append_if, test/test_jit.py::TestList::test_mutable_list_append_if_else, test/test_jit.py::TestList::test_mutable_list_append_loop, test/test_jit.py::TestList::test_mutable_list_append_loop_if, test/test_jit.py::TestList::test_mutable_list_clear, test/test_jit.py::TestList::test_mutable_list_clear_empty, test/test_jit.py::TestList::test_mutable_list_function_inline, test/test_jit.py::TestList::test_mutable_list_insert, test/test_jit.py::TestList::test_mutable_list_insert_neg_out_of_bounds, test/test_jit.py::TestList::test_mutable_list_insert_negative, test/test_jit.py::TestList::test_mutable_list_insert_out_of_bounds, test/test_jit.py::TestList::test_mutable_list_nested_loop, test/test_jit.py::TestList::test_mutable_list_pop, test/test_jit.py::TestList::test_mutable_list_pop2, test/test_jit.py::TestList::test_mutable_list_pop_at, test/test_jit.py::TestList::test_mutable_list_pop_at2, test/test_jit.py::TestList::test_mutable_list_pop_at_negative, test/test_jit.py::TestList::test_mutable_list_pop_at_negative2, test/test_jit.py::TestList::test_mutable_list_pop_empty, test/test_jit.py::TestList::test_mutable_list_pop_slice, test/test_jit.py::TestList::test_mutable_list_remove, test/test_jit.py::TestList::test_mutable_list_remove2, test/test_jit.py::TestList::test_mutable_list_remove_not_existing, test/test_jit.py::TestList::test_mutable_list_remove_tensor, test/test_jit.py::TestList::test_mutable_list_reverse, test/test_jit.py::TestList::test_mutable_list_reverse_empty, test/test_jit.py::TestList::test_mutable_tensor_list_reverse, test/test_jit.py::TestList::test_no_element_type_annotation, test/test_jit.py::TestList::test_slice_index, test/test_jit.py::TestList::test_tensor_list_count, test/test_jit.py::TestList::test_tensor_list_count_not_existing, test/test_jit.py::TestList::test_tensor_list_index, test/test_jit.py::TestList::test_tensor_list_index_not_existing, test/test_jit.py::TestList::test_to_list, test/test_jit.py::TestList::test_to_list_gpu, test/test_jit.py::TestDict::test_aug_assign, test/test_jit.py::TestDict::test_basic, test/test_jit.py::TestDict::test_clear, test/test_jit.py::TestDict::test_copy, test/test_jit.py::TestDict::test_del, test/test_jit.py::TestDict::test_dict_bool_conversion, test/test_jit.py::TestDict::test_dict_preserves_order, test/test_jit.py::TestDict::test_dict_to_python, test/test_jit.py::TestDict::test_dict_variance, test/test_jit.py::TestDict::test_get, test/test_jit.py::TestDict::test_get_boolkey, test/test_jit.py::TestDict::test_items, test/test_jit.py::TestDict::test_key_type, test/test_jit.py::TestDict::test_keys, test/test_jit.py::TestDict::test_len, test/test_jit.py::TestDict::test_loop, test/test_jit.py::TestDict::test_membership, test/test_jit.py::TestDict::test_mutability, test/test_jit.py::TestDict::test_optional_dict_construct, test/test_jit.py::TestDict::test_ordered_dict, test/test_jit.py::TestDict::test_pop, test/test_jit.py::TestDict::test_popitem, test/test_jit.py::TestDict::test_setdefault, test/test_jit.py::TestDict::test_type_annotation_missing_contained_type, test/test_jit.py::TestDict::test_update, test/test_jit.py::TestDict::test_update_existing_key, test/test_jit.py::TestDict::test_values, test/test_jit.py::TestDict::test_view, test/test_jit.py::TestNamedTuple::test_namedtuple, test/test_jit.py::TestNamedTuple::test_namedtuple_as_attr, test/test_jit.py::TestNamedTuple::test_namedtuple_constant, test/test_jit.py::TestNamedTuple::test_namedtuple_input_forwardref, test/test_jit.py::TestNamedTuple::test_namedtuple_inside_forwardref, test/test_jit.py::TestNamedTuple::test_namedtuple_kwarg_construct, test/test_jit.py::TestNamedTuple::test_namedtuple_lower, test/test_jit.py::TestNamedTuple::test_namedtuple_resolution, test/test_jit.py::TestNamedTuple::test_namedtuple_resolution_forwardref, test/test_jit.py::TestNamedTuple::test_namedtuple_serialization, test/test_jit.py::TestNamedTuple::test_namedtuple_slice_unpack, test/test_jit.py::TestNamedTuple::test_namedtuple_type_annotation, test/test_jit.py::TestNamedTuple::test_namedtuple_wrong_types, test/test_jit.py::TestNamedTuple::test_return_named_tuple, test/test_jit.py::TestScriptDict::test_bool, test/test_jit.py::TestScriptDict::test_contains, test/test_jit.py::TestScriptDict::test_delitem, test/test_jit.py::TestScriptDict::test_getitem, test/test_jit.py::TestScriptDict::test_items, test/test_jit.py::TestScriptDict::test_iter, test/test_jit.py::TestScriptDict::test_len, test/test_jit.py::TestScriptDict::test_nested, test/test_jit.py::TestScriptDict::test_reference_semantics, test/test_jit.py::TestScriptDict::test_repr, test/test_jit.py::TestScriptDict::test_setitem, test/test_jit.py::TestScriptList::test_append, test/test_jit.py::TestScriptList::test_bool, test/test_jit.py::TestScriptList::test_clear, test/test_jit.py::TestScriptList::test_contains, test/test_jit.py::TestScriptList::test_count, test/test_jit.py::TestScriptList::test_defaultdict, test/test_jit.py::TestScriptList::test_delitem, test/test_jit.py::TestScriptList::test_extend, test/test_jit.py::TestScriptList::test_getitem, test/test_jit.py::TestScriptList::test_insert, test/test_jit.py::TestScriptList::test_iter, test/test_jit.py::TestScriptList::test_len, test/test_jit.py::TestScriptList::test_nested, test/test_jit.py::TestScriptList::test_pop, test/test_jit.py::TestScriptList::test_reference_semantics, test/test_jit.py::TestScriptList::test_remove, test/test_jit.py::TestScriptList::test_repr, test/test_jit.py::TestScriptList::test_setitem, test/test_jit.py::TestAsync::test_async_future_type_python, test/test_jit.py::TestAsync::test_async_grad_guard_no_grad, test/test_jit.py::TestAsync::test_async_grad_guard_with_grad, test/test_jit.py::TestAsync::test_async_kwargs, test/test_jit.py::TestAsync::test_async_parsing, test/test_jit.py::TestAsync::test_async_python, test/test_jit.py::TestAsync::test_async_script, test/test_jit.py::TestAsync::test_async_script_capture, test/test_jit.py::TestAsync::test_async_script_error, test/test_jit.py::TestAsync::test_async_script_multi_forks, test/test_jit.py::TestAsync::test_async_script_multi_waits, test/test_jit.py::TestAsync::test_async_script_nested, test/test_jit.py::TestAsync::test_async_script_no_script_mod, test/test_jit.py::TestAsync::test_async_script_trace, test/test_jit.py::TestAsync::test_future_subtyping, test/test_jit.py::TestAsync::test_no_future_subtype_message, test/test_jit.py::TestAsync::test_trace_fork_wait, test/test_jit.py::TestAsync::test_trace_fork_wait_inline, test/test_jit.py::TestAsync::test_trace_fork_wait_leaking, test/test_jit.py::TestAsync::test_trace_fork_wait_list_modulecalls, test/test_jit.py::TestAsync::test_trace_modulecalls_with_different_output_types, test/test_jit.py::TestAwait::test_await_class_arg, test/test_jit.py::TestAwait::test_await_class_return, test/test_jit.py::TestAwait::test_await_eager_lazy, test/test_jit.py::TestAwait::test_await_func_arg, test/test_jit.py::TestAwait::test_await_getattr_implicit_convertion, test/test_jit.py::TestAwait::test_await_isinstance, test/test_jit.py::TestAwait::test_await_multiout_save, test/test_jit.py::TestAwait::test_await_nested, test/test_jit.py::TestAwait::test_await_out_of_interpreter, test/test_jit.py::TestAwait::test_await_python, test/test_jit.py::TestAwait::test_await_type_python, test/test_jit.py::TestAwait::test_awaitable_to_await, test/test_jit.py::TestAwait::test_eager_await_non_scriptable, test/test_jit.py::TestAwait::test_jit_trace, test/test_jit.py::TestAwait::test_nowait, test/test_jit.py::TestAwait::test_nowait_class, test/test_jit.py::TestAwait::test_script, test/test_jit.py::TestDataParallel::test_python_submodule_script, test/test_jit.py::TestDataParallel::test_shared_module, test/test_jit.py::TestDataParallel::test_tensor_sharing, test/test_jit.py::TestDataParallel::test_tensor_sharing_with_forward, test/test_jit.py::TestDataParallel::test_traced_module, test/test_jit.py::TestModels::test_alexnet, test/test_jit.py::TestModels::test_dcgan_models, test/test_jit.py::TestModels::test_dcgan_models_cuda, test/test_jit.py::TestModels::test_mnist, test/test_jit.py::TestModels::test_mnist_cuda, test/test_jit.py::TestModels::test_mnist_training_leaks_no_memory_cuda, test/test_jit.py::TestModels::test_neural_style, test/test_jit.py::TestModels::test_neural_style_cuda, test/test_jit.py::TestModels::test_reinforcement_learning, test/test_jit.py::TestModels::test_reinforcement_learning_cuda, test/test_jit.py::TestModels::test_script_module_script_resnet, test/test_jit.py::TestModels::test_script_module_trace_resnet18, test/test_jit.py::TestModels::test_snli, test/test_jit.py::TestModels::test_snli_cuda, test/test_jit.py::TestModels::test_super_resolution, test/test_jit.py::TestModels::test_super_resolution_cuda, test/test_jit.py::TestModels::test_time_sequence_prediction, test/test_jit.py::TestModels::test_vae, test/test_jit.py::TestModels::test_vae_cuda, test/test_jit.py::TestModules::test_script_module_with_constants_list, test/test_jit.py::TestAutodiffJit::test_autodiff_requires_grad_nograd, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs_profiled_twice, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs_side_effects, test/test_jit.py::TestAutodiffJit::test_undefined_tensor_lists, test/test_jit.py::TestAutodiffSubgraphSlicing::test_aliased_outputs, test/test_jit.py::TestAutodiffSubgraphSlicing::test_bias_as_arg, test/test_jit.py::TestAutodiffSubgraphSlicing::test_bias_as_module_attr, test/test_jit.py::TestAutodiffSubgraphSlicing::test_chunk_constant_script_ad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_constructed_bias, test/test_jit.py::TestAutodiffSubgraphSlicing::test_diff_graph_inline_threshold, test/test_jit.py::TestAutodiffSubgraphSlicing::test_differentiable_graph_ops_requires_grad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_does_not_create_cycles, test/test_jit.py::TestAutodiffSubgraphSlicing::test_does_not_merge_unrelated, test/test_jit.py::TestAutodiffSubgraphSlicing::test_has_profiled_info_aliasing_outputs, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merge_respects_aliasing, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_dense, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_down, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_up, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_without_cycles, test/test_jit.py::TestAutodiffSubgraphSlicing::test_prune_grad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_requires_grad_for_tensor_list, test/test_jit.py::TestAutodiffSubgraphSlicing::test_respects_lexical_scoping, test/test_jit.py::TestAutodiffSubgraphSlicing::test_simple_merge, test/test_jit.py::TestAutodiffSubgraphSlicing::test_simple_no_merge, test/test_jit.py::TestCustomOperators::test_calling_scripted_custom_op, test/test_jit.py::TestCustomOperators::test_calling_traced_custom_op, test/test_jit.py::TestCustomOperators::test_default_arguments_are_used, test/test_jit.py::TestCustomOperators::test_dynamic_op_registry, test/test_jit.py::TestCustomOperators::test_generic_list, test/test_jit.py::TestCustomOperators::test_getting_invalid_attr, test/test_jit.py::TestCustomOperators::test_passing_and_returning_lists, test/test_jit.py::TestCustomOperators::test_passing_one_positional_but_not_the_second, test/test_jit.py::TestCustomOperators::test_passing_too_few_args, test/test_jit.py::TestCustomOperators::test_passing_too_many_args, test/test_jit.py::TestCustomOperators::test_passing_unknown_kwargs, test/test_jit.py::TestCustomOperators::test_script_graph_contains_custom_op, test/test_jit.py::TestCustomOperators::test_script_graph_for_custom_ops_matches_traced_graph, test/test_jit.py::TestCustomOperators::test_simply_calling_an_operator, test/test_jit.py::TestCustomOperators::test_where_no_scalar, test/test_jit.py::TestGraphRewritePasses::test_fuse_linear, test/test_jit.py::TestClassType::test_cast_overloads, test/test_jit.py::TestClassType::test_class_attribute_wrong_type, test/test_jit.py::TestClassType::test_class_constant, test/test_jit.py::TestClassType::test_class_constructs_itself, test/test_jit.py::TestClassType::test_class_inheritance, test/test_jit.py::TestClassType::test_class_inheritance_implicit, test/test_jit.py::TestClassType::test_class_sorting, test/test_jit.py::TestClassType::test_class_specialization, test/test_jit.py::TestClassType::test_class_type_as_param, test/test_jit.py::TestClassType::test_classmethod, test/test_jit.py::TestClassType::test_conditional_set_attr, test/test_jit.py::TestClassType::test_custom_delete, test/test_jit.py::TestClassType::test_default_args, test/test_jit.py::TestClassType::test_get_attr, test/test_jit.py::TestClassType::test_get_attr_not_initialized, test/test_jit.py::TestClassType::test_get_with_method, test/test_jit.py::TestClassType::test_imported_classes, test/test_jit.py::TestClassType::test_in, test/test_jit.py::TestClassType::test_init_compiled_first, test/test_jit.py::TestClassType::test_interface, test/test_jit.py::TestClassType::test_optional_type_promotion, test/test_jit.py::TestClassType::test_out_of_order_methods, test/test_jit.py::TestClassType::test_overloaded_fn, test/test_jit.py::TestClassType::test_properties, test/test_jit.py::TestClassType::test_py_class_to_ivalue_missing_attribute, test/test_jit.py::TestClassType::test_python_interop, test/test_jit.py::TestClassType::test_recursive_class, test/test_jit.py::TestClassType::test_recursive_script_builtin_type_resolution, test/test_jit.py::TestClassType::test_recursive_script_module_builtin_type_resolution, test/test_jit.py::TestClassType::test_recursive_scripting, test/test_jit.py::TestClassType::test_recursive_scripting_failed, test/test_jit.py::TestClassType::test_reference_semantics, test/test_jit.py::TestClassType::test_save_load_with_classes, test/test_jit.py::TestClassType::test_save_load_with_classes_nested, test/test_jit.py::TestClassType::test_save_load_with_classes_returned, test/test_jit.py::TestClassType::test_schema_human_readable, test/test_jit.py::TestClassType::test_self_referential_method, test/test_jit.py::TestClassType::test_set_attr_in_method, test/test_jit.py::TestClassType::test_set_attr_non_initialized, test/test_jit.py::TestClassType::test_set_attr_type_mismatch, test/test_jit.py::TestClassType::test_staticmethod, test/test_jit.py::TestClassType::test_type_annotation, test/test_jit.py::TestClassType::test_type_annotations, test/test_jit.py::TestClassType::test_unresolved_class_attributes, test/test_jit.py::TestClassType::test_unused_method, test/test_jit.py::TestBuiltins::test_del, test/test_jit.py::TestBuiltins::test_del_multiple_operands, test/test_jit.py::TestBuiltins::test_has_attr, test/test_jit.py::TestBuiltins::test_has_attr_invalid_args, test/test_jit.py::TestTensorBuiltins::test_method_on_number, test/test_jit.py::TestTensorBuiltins::test_scalar_to_num_conversions, test/test_jit.py::TestTensorBuiltins::test_tensor_item, test/test_jit.py::TestTensorBuiltins::test_tensor_properties, test/test_jit.py::TestTensorBuiltins::test_tensor_subscript_assign, test/test_jit.py::TestTensorBuiltins::test_tensor_subscript_assign_device, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_inp_out, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_just_inp, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_just_out, test/test_jit.py::TestSymbolicShapeAnalysis::test_adaptive_avg_pool2d, test/test_jit.py::TestSymbolicShapeAnalysis::test_arange_shape, test/test_jit.py::TestSymbolicShapeAnalysis::test_binary_shape_fns_inplace, test/test_jit.py::TestSymbolicShapeAnalysis::test_binary_shape_functions, test/test_jit.py::TestSymbolicShapeAnalysis::test_conv_deconv, test/test_jit.py::TestSymbolicShapeAnalysis::test_convolution_backward, test/test_jit.py::TestSymbolicShapeAnalysis::test_cross_entropy_loss, test/test_jit.py::TestSymbolicShapeAnalysis::test_if_propagation, test/test_jit.py::TestSymbolicShapeAnalysis::test_partial_eval_graph_conv, test/test_jit.py::TestSymbolicShapeAnalysis::test_partial_eval_stitching, test/test_jit.py::TestSymbolicShapeAnalysis::test_refinement_through_graph_stitching, test/test_jit.py::TestSymbolicShapeAnalysis::test_register_function_error_checking, test/test_jit.py::TestSymbolicShapeAnalysis::test_returning_input_symbolic_shapes, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_analysis, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_concat, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_embedding_bag, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_function_includes, test/test_jit.py::TestSymbolicShapeAnalysis::test_shared_shape_graph, test/test_jit.py::TestSymbolicShapeAnalysis::test_size_and_sizes, test/test_jit.py::TestSymbolicShapeAnalysis::test_squeeze_dims, test/test_jit.py::TestSymbolicShapeAnalysis::test_stitching_concat, test/test_jit.py::TestSymbolicShapeAnalysis::test_stitching_multi_output, test/test_jit.py::TestSymbolicShapeAnalysis::test_sym_ir_parsing, test/test_jit.py::TestSymbolicShapeAnalysis::test_unary_shape_fns_inplace, test/test_jit.py::TestSymbolicShapeAnalysis::test_unary_shape_functions, test/test_jit.py::TestSymbolicShapeAnalysis::test_write, test/test_jit.py::TestOpDecompositions::test_op_decomposition, test/test_jit.py::TestOpDecompositions::test_registered_decomposition, test/test_jit.py::TestUnsupportedOps::test_factory_ops_requires_grad_fail, test/test_jit.py::TestUnsupportedOps::test_init_ops, test/test_jit.py::TestFreezing::test_freeze_interface_swapping_two_methods, test/test_jit.py::TestFreezing::test_freeze_interface_within_object, test/test_jit.py::TestFreezing::test_freeze_module, test/test_jit.py::TestFreezing::test_freeze_module_detach_gradient, test/test_jit.py::TestFreezing::test_freeze_module_in_training_mode, test/test_jit.py::TestFreezing::test_freeze_module_inlining, test/test_jit.py::TestFreezing::test_freeze_module_no_forward, test/test_jit.py::TestFreezing::test_freeze_module_return_self, test/test_jit.py::TestFreezing::test_freeze_module_return_sub_module, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr2, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr3, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr2, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr3, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr4, test/test_jit.py::TestFreezing::test_freeze_module_with_call_method, test/test_jit.py::TestFreezing::test_freeze_module_with_fork, test/test_jit.py::TestFreezing::test_freeze_module_with_fork2, test/test_jit.py::TestFreezing::test_freeze_module_with_fork_calling_module_method, test/test_jit.py::TestFreezing::test_freeze_module_with_helperfunction, test/test_jit.py::TestFreezing::test_freeze_module_with_inplace_mutable, test/test_jit.py::TestFreezing::test_freeze_module_with_list, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_dict, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_list, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_tensor, test/test_jit.py::TestFreezing::test_freeze_module_with_nested_fork, test/test_jit.py::TestFreezing::test_freeze_module_with_nestedaliasing, test/test_jit.py::TestFreezing::test_freeze_module_with_nestedaliasingscalar, test/test_jit.py::TestFreezing::test_freeze_module_with_non_static_module_container_index, test/test_jit.py::TestFreezing::test_freeze_module_with_overlapping_attrs, test/test_jit.py::TestFreezing::test_freeze_module_with_preserve_sub_module, test/test_jit.py::TestFreezing::test_freeze_module_with_preserve_sub_module_and_mutation, test/test_jit.py::TestFreezing::test_freeze_module_with_sharedclasstype, test/test_jit.py::TestFreezing::test_freeze_module_with_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_tensor, test/test_jit.py::TestFreezing::test_freeze_module_with_tuple, test/test_jit.py::TestFreezing::test_freeze_module_with_tupleoutput_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attribute_on_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attribute_on_unused_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method2, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method_on_submodule, test/test_jit.py::TestFreezing::test_freeze_no_forward, test/test_jit.py::TestFreezing::test_freeze_non_interface_module_swap, test/test_jit.py::TestFreezing::test_freeze_non_module_class_getattr, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces_same_name, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces_with_reassignment, test/test_jit.py::TestFreezing::test_freeze_with_interface_mutable, test/test_jit.py::TestFreezing::test_freeze_with_swapping_interfaces, test/test_jit.py::TestFreezing::test_module_getattr_indirection, test/test_jit.py::TestFreezing::test_module_with_shared_type_instances, test/test_jit.py::TestFrozenOptimizations::test_bn_not_broadcast_with_linear, test/test_jit.py::TestFrozenOptimizations::test_collapse_adjacent_conversions, test/test_jit.py::TestFrozenOptimizations::test_conv_add_folding, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding_autocast_scenario_cuda, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding_not_forward, test/test_jit.py::TestFrozenOptimizations::test_conv_hardswish, test/test_jit.py::TestFrozenOptimizations::test_conv_mul_add_bn, test/test_jit.py::TestFrozenOptimizations::test_conv_to_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_conv_to_mkldnn_no_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_freeze_conv_relu_fusion, test/test_jit.py::TestFrozenOptimizations::test_freeze_conv_relu_fusion_not_forward, test/test_jit.py::TestFrozenOptimizations::test_freeze_mkdlnn, test/test_jit.py::TestFrozenOptimizations::test_freeze_remove_dropout, test/test_jit.py::TestFrozenOptimizations::test_freeze_remove_feature_dropout, test/test_jit.py::TestFrozenOptimizations::test_hardswish_hardsigmoid, test/test_jit.py::TestFrozenOptimizations::test_incompatible_perf_formats, test/test_jit.py::TestFrozenOptimizations::test_linear_bn_folding, test/test_jit.py::TestFrozenOptimizations::test_linear_bn_folding_autocast_scenario_cuda, test/test_jit.py::TestFrozenOptimizations::test_linear_concat, test/test_jit.py::TestFrozenOptimizations::test_linear_concat_complex, test/test_jit.py::TestFrozenOptimizations::test_linear_concat_different_input, test/test_jit.py::TestFrozenOptimizations::test_linear_multiple_blocks, test/test_jit.py::TestFrozenOptimizations::test_linear_non_constant_weight, test/test_jit.py::TestFrozenOptimizations::test_linear_transpose, test/test_jit.py::TestFrozenOptimizations::test_maxpool_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_mkldnn_fuser_broadcasting, test/test_jit.py::TestFrozenOptimizations::test_mkldnn_inplace_removal, test/test_jit.py::TestFrozenOptimizations::test_numel_less_than_size_with_padding, test/test_jit.py::TestFrozenOptimizations::test_optimize_freeze_module, test/test_jit.py::TestFrozenOptimizations::test_pool2d_batchnorm, test/test_jit.py::TestFrozenOptimizations::test_pool3d_batchnorm, test/test_jit.py::TestFrozenOptimizations::test_remove_detach, test/test_jit.py::TestFrozenOptimizations::test_remove_detach_not_applied, test/test_jit.py::TestFrozenOptimizations::test_scalar_mul, test/test_jit.py::TestMKLDNNReinplacing::test_always_alive_values, test/test_jit.py::TestMKLDNNReinplacing::test_merge_liveness, test/test_jit.py::TestMKLDNNReinplacing::test_successful, test/test_jit.py::TestMKLDNNReinplacing::test_switch_inputs_to_inplace, test/test_jit.py::TestPeephole::test_conv_dim_folding, test/test_jit.py::TestPeephole::test_integer_refinement, test/test_jit.py::TestPeephole::test_noop_peephole, test/test_jit.py::TestPeephole::test_normalized_is_op, test/test_jit.py::TestPeephole::test_normalized_isnot_op, test/test_jit.py::TestPeephole::test_normalized_rsub, test/test_jit.py::TestPeephole::test_optimize_out_comparison_same_value, test/test_jit.py::TestPeephole::test_peephole, test/test_jit.py::TestPeephole::test_peephole_add_zero, test/test_jit.py::TestPeephole::test_peephole_arith, test/test_jit.py::TestPeephole::test_peephole_cuda, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_dict_modified, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_get_input_arg, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_keys_might_overlap, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_missing_key, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_overlapping_keys, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_unsupported_type, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_simple, test/test_jit.py::TestPeephole::test_peephole_dict_len, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_keys_might_overlap, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_overlapping_keys, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_unsupported_type, test/test_jit.py::TestPeephole::test_peephole_dynamic, test/test_jit.py::TestPeephole::test_peephole_int, test/test_jit.py::TestPeephole::test_peephole_len_list, test/test_jit.py::TestPeephole::test_peephole_list_len, test/test_jit.py::TestPeephole::test_peephole_list_ops, test/test_jit.py::TestPeephole::test_peephole_no_output_aliasing, test/test_jit.py::TestPeephole::test_peephole_optional_refine, test/test_jit.py::TestPeephole::test_peephole_slice_all_three_args, test/test_jit.py::TestPeephole::test_peephole_slice_one_empty_arg, test/test_jit.py::TestPeephole::test_peephole_slice_optimization_not_applied_list_modified, test/test_jit.py::TestPeephole::test_peephole_slice_optimization_not_applied_non_const_args, test/test_jit.py::TestPeephole::test_peephole_slice_two_empty_args, test/test_jit.py::TestPeephole::test_peephole_type_refinements, test/test_jit.py::TestPeephole::test_peephole_with_non_output_writes, test/test_jit.py::TestPeephole::test_peephole_with_writes, test/test_jit.py::TestPeephole::test_refine_integer_values, test/test_jit.py::TestPeephole::test_short_circuit_optimization, test/test_jit.py::TestAliasAnalysis::test_becomes_wildcard_annotations, test/test_jit.py::TestAliasAnalysis::test_multiple_compilation_units, test/test_jit.py::TestAliasAnalysis::test_nested_list_construct_not_wildcard, test/test_jit.py::TestAliasAnalysis::test_recursive_calls, test/test_jit.py::TestSaveLoad::test_different_functions, test/test_jit.py::TestSaveLoad::test_different_interfaces, test/test_jit.py::TestSaveLoad::test_different_modules, test/test_jit.py::TestSaveLoad::test_many_collisions, test/test_jit.py::TestSaveLoad::test_save_load_large_string_attribute, test/test_jit.py::TestSaveLoad::test_save_load_meta_tensors, test/test_jit.py::TestSaveLoad::test_save_load_meta_tensors_to_device, test/test_jit.py::TestSaveLoad::test_save_load_params_buffers_submodules, test/test_jit.py::TestSaveLoad::test_save_load_using_pathlib, test/test_jit.py::TestSaveLoad::test_save_load_with_extra_files, test/test_jit.py::TestSaveLoad::test_save_load_with_saved_traced_inputs, test/test_jit.py::TestSaveLoad::test_save_namedtuple_input_only, test/test_jit.py::TestSaveLoad::test_save_namedtuple_input_only_forwardref, test/test_jit.py::TestSaveLoad::test_save_namedtuple_output_only, test/test_jit.py::TestSaveLoad::test_save_nonexit_file, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_functions, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_interfaces, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_modules, test/test_jit.py::TestSaveLoadFlatbuffer::test_many_collisions, test/test_jit.py::TestSaveLoadFlatbuffer::test_module_info_flatbuffer, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_params_buffers_submodules, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_using_pathlib, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_with_extra_files, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_namedtuple_input_only, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_namedtuple_output_only, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_inplace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_reciprocal, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_scalar, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor_inplace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor_out, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_linspace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_linspace_out, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_logspace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_logspace_out, test/test_jit.py::TestModuleContainers::test_custom_container_forward, test/test_jit.py::TestModuleContainers::test_empty_dict_override_contains, test/test_jit.py::TestModuleContainers::test_module_inplace_construct, test/test_jit.py::TestModuleContainers::test_module_interface_special_methods, test/test_jit.py::TestModuleContainers::test_module_properties, test/test_jit.py::TestModuleContainers::test_moduledict, test/test_jit.py::TestModuleContainers::test_moduledict_getitem, test/test_jit.py::TestModuleContainers::test_moduledict_keyerror, test/test_jit.py::TestModuleContainers::test_normal_list_attribute_with_modules_error, test/test_jit.py::TestModuleContainers::test_parameterdict_script_getitem, test/test_jit.py::TestModuleContainers::test_parameterlist_script_getitem, test/test_jit.py::TestModuleContainers::test_parameterlist_script_iter, test/test_jit.py::TestModuleContainers::test_script_module_list_sequential, test/test_jit.py::TestModuleContainers::test_script_modulelist_index, test/test_jit.py::TestModuleContainers::test_sequential_intermediary_types, test/test_jit.py::TestModuleContainers::test_special_method_with_override, test/test_jit.py::TestModuleContainers::test_typed_module_dict, test/test_jit.py::TestModuleContainers::test_typed_module_list, test/test_jit.py::TestPythonBindings::test_add_input, test/test_jit.py::TestPythonBindings::test_aliasdb, test/test_jit.py::TestPythonBindings::test_canonicalize, test/test_jit.py::TestPythonBindings::test_cu_create_function, test/test_jit.py::TestPythonBindings::test_cu_get_functions, test/test_jit.py::TestPythonBindings::test_graph_create, test/test_jit.py::TestPythonBindings::test_graph_iterator_keepalive, test/test_jit.py::TestPythonBindings::test_invalidation, test/test_jit.py::TestPythonIr::test_param_strides, test/test_jit.py::TestPythonIr::test_permute_inputs_binding, test/test_jit.py::TestPythonIr::test_python_ir_utils, test/test_jit.py::TestPythonIr::test_python_ir_utils_graph, test/test_jit.py::TestFunctionalBlocks::test_subgraph_creation, test/test_jit.py::TestRemoveMutation::test_aten_inplace, test/test_jit.py::TestRemoveMutation::test_common_pytorch_list_ops, test/test_jit.py::TestRemoveMutation::test_if_output, test/test_jit.py::TestRemoveMutation::test_if_output_fail, test/test_jit.py::TestRemoveMutation::test_list_indexing_removal, test/test_jit.py::TestRemoveMutation::test_lists_append, test/test_jit.py::TestRemoveMutation::test_lists_insert, test/test_jit.py::TestRemoveMutation::test_special_mapped_op, test/test_jit.py::TestTorchbind::test_default_args, test/test_jit.py::TestTorchbind::test_hasattr, test/test_jit.py::TestTorchbind::test_lambda_as_constructor, test/test_jit.py::TestTorchbind::test_profiler_custom_op, test/test_jit.py::TestTorchbind::test_staticmethod, test/test_jit.py::TestTorchbind::test_torchbind, test/test_jit.py::TestTorchbind::test_torchbind_attr_exception, test/test_jit.py::TestTorchbind::test_torchbind_class_attr_recursive, test/test_jit.py::TestTorchbind::test_torchbind_class_attribute, test/test_jit.py::TestTorchbind::test_torchbind_deepcopy, test/test_jit.py::TestTorchbind::test_torchbind_def_property_getter_setter, test/test_jit.py::TestTorchbind::test_torchbind_def_property_just_getter, test/test_jit.py::TestTorchbind::test_torchbind_def_property_readwrite, test/test_jit.py::TestTorchbind::test_torchbind_getattr, test/test_jit.py::TestTorchbind::test_torchbind_getstate, test/test_jit.py::TestTorchbind::test_torchbind_instantiate_missing_class, test/test_jit.py::TestTorchbind::test_torchbind_lambda_method, test/test_jit.py::TestTorchbind::test_torchbind_no_init, test/test_jit.py::TestTorchbind::test_torchbind_optional_explicit_attr, test/test_jit.py::TestTorchbind::test_torchbind_pass_wrong_type, test/test_jit.py::TestTorchbind::test_torchbind_pickle_serialization, test/test_jit.py::TestTorchbind::test_torchbind_python_deepcopy, test/test_jit.py::TestTorchbind::test_torchbind_return_instance, test/test_jit.py::TestTorchbind::test_torchbind_return_instance_from_method, test/test_jit.py::TestTorchbind::test_torchbind_return_tuple, test/test_jit.py::TestTorchbind::test_torchbind_save_load, test/test_jit.py::TestTorchbind::test_torchbind_take_as_arg, test/test_jit.py::TestTorchbind::test_torchbind_take_instance_as_method_arg, test/test_jit.py::TestTorchbind::test_torchbind_tracing, test/test_jit.py::TestTorchbind::test_torchbind_tracing_nested, test/test_jit.py::TestModuleInterface::test_freeze_module_with_inplace_mutation_in_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_interface_and_fork, test/test_jit.py::TestModuleInterface::test_freeze_module_with_mutated_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_setattr_in_interface, test/test_jit.py::TestModuleInterface::test_module_apis_interface, test/test_jit.py::TestModuleInterface::test_module_doc_string, test/test_jit.py::TestModuleInterface::test_module_interface, test/test_jit.py::TestModuleInterface::test_module_interface_inheritance, test/test_jit.py::TestModuleInterface::test_module_interface_subtype, test/test_jit.py::TestModuleInterface::test_module_swap, test/test_jit.py::TestModuleInterface::test_module_swap_no_lazy_compile, test/test_jit.py::TestModuleInterface::test_module_swap_no_module_interface, test/test_jit.py::TestModuleInterface::test_module_swap_wrong_module, test/test_jit.py::TestModuleInterface::test_not_submodule_interface_call, test/test_jit.py::TestModuleInterface::test_script_module_as_interface_swap, test/test_jit.py::TestWith::test_with_as, test/test_jit.py::TestWith::test_with_errors, test/test_jit.py::TestWith::test_with_exceptions, test/test_jit.py::TestWith::test_with_no_as, test/test_jit.py::TestWith::test_with_no_grad, test/test_jit.py::TestWith::test_with_record_function, test/test_jit.py::TestEnum::test_closed_over_enum_constant, test/test_jit.py::TestEnum::test_enum_as_const, test/test_jit.py::TestEnum::test_enum_as_module_attribute, test/test_jit.py::TestEnum::test_enum_comp, test/test_jit.py::TestEnum::test_enum_comp_diff_classes, test/test_jit.py::TestEnum::test_enum_explicit_script, test/test_jit.py::TestEnum::test_enum_iterate, test/test_jit.py::TestEnum::test_enum_ivalue_type, test/test_jit.py::TestEnum::test_enum_module_return, test/test_jit.py::TestEnum::test_enum_name, test/test_jit.py::TestEnum::test_enum_return, test/test_jit.py::TestEnum::test_enum_value, test/test_jit.py::TestEnum::test_enum_value_types, test/test_jit.py::TestEnum::test_heterogenous_value_type_enum_error, test/test_jit.py::TestEnum::test_non_existent_enum_value, test/test_jit.py::TestEnum::test_string_enum_as_module_attribute, test/test_jit.py::TestEnum::test_typed_enum, test/test_jit.py::TestStringFormatting::test_modulo_operator, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_alternate_digit_placeholder, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_capital_exponent_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_char_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_true_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_digit_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_digit_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_double_percent_in_string, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_exponent_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_float_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_float_placeholder_and_float_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_lowercase_exponent_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_multiple_placeholders, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_percent_in_string, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_format_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_subscript, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_too_few_arguments, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_too_many_arguments, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_unknown_format_specifier, test/test_jit.py::TestProfiler::test_aliasing_merge, test/test_jit.py::TestProfiler::test_autograd_fallback_graph, test/test_jit.py::TestProfiler::test_fallback_graph_not_specialized, test/test_jit.py::TestProfiler::test_iterative_fusion, test/test_jit.py::TestProfiler::test_local_fusion_strategy, test/test_jit.py::TestProfiler::test_not_fusing_scalar_ops, test/test_jit.py::TestProfiler::test_not_optimizing_property, test/test_jit.py::TestProfiler::test_specialize_backward, test/test_jit.py::TestProfiler::test_specialized_types, test/test_jit.py::TestProfiler::test_tensor_constant, test/test_jit.py::TestProfiler::test_tensor_type_not_determined_by_inputs, test/test_jit.py::TestProfiler::test_use_not_profiled, test/test_jit.py::TestSlice::test_module_list_slicing, test/test_jit.py::TestSlice::test_slice_as_variable, test/test_jit.py::TestSlice::test_slice_dynamic_index, test/test_jit.py::TestSlice::test_slice_kwarg, test/test_jit.py::TestSlice::test_slice_one_none, test/test_jit.py::TestSlice::test_slice_start_stop, test/test_jit.py::TestSlice::test_slice_start_stop_step, test/test_jit.py::TestSlice::test_slice_start_stop_with_none, test/test_jit.py::TestSlice::test_slice_stop_clipped, test/test_jit.py::TestSlice::test_slice_stop_only, test/test_jit.py::TestSlice::test_slice_stop_only_with_nones, test/test_jit.py::TestSlice::test_slice_string, test/test_jit.py::TestSlice::test_slice_tensor, test/test_jit.py::TestSlice::test_slice_tensor_multidim, test/test_jit.py::TestSlice::test_slice_tensor_multidim_with_dots, test/test_jit.py::TestSlice::test_slice_three_nones, test/test_jit.py::TestSlice::test_slice_two_nones, test/test_jit.py::TestSlice::test_tuple_slicing, test/test_jit.py::TestIgnorableArgs::test_add_out_ignorable_args, test/test_jit.py::TestIgnorableArgs::test_slice_ignorable_args_for_slice, test/test_jit.py::TestHooks::test_forward_tuple_input, test/test_jit.py::TestHooks::test_hook_compilation_hint, test/test_jit.py::TestHooks::test_hook_hook_name_collision, test/test_jit.py::TestHooks::test_hook_method_name_collision, test/test_jit.py::TestHooks::test_module_direct_forward_invocation, test/test_jit.py::TestHooks::test_module_forward_multiple_inputs, test/test_jit.py::TestHooks::test_module_forward_single_input, test/test_jit.py::TestHooks::test_module_hook_return_nothing, test/test_jit.py::TestHooks::test_module_multiple_hooks_multiple_inputs, test/test_jit.py::TestHooks::test_module_multiple_hooks_single_input, test/test_jit.py::TestHooks::test_module_no_forward_input, test/test_jit.py::TestHooks::test_module_same_hook_repeated, test/test_jit.py::TestHooks::test_submodule_called_directly_with_hooks, test/test_jit.py::TestHooks::test_submodule_direct_forward_invocation, test/test_jit.py::TestHooks::test_submodule_forward_multiple_inputs, test/test_jit.py::TestHooks::test_submodule_forward_single_input, test/test_jit.py::TestHooks::test_submodule_forward_single_input_return_not_tupled, test/test_jit.py::TestHooks::test_submodule_hook_return_nothing, test/test_jit.py::TestHooks::test_submodule_multiple_hooks_multiple_inputs, test/test_jit.py::TestHooks::test_submodule_multiple_hooks_single_input, test/test_jit.py::TestHooks::test_submodule_no_forward_input, test/test_jit.py::TestHooks::test_submodule_same_hook_repeated, test/test_jit.py::TestHooks::test_wrong_hook_signatures, test/test_jit.py::TestHooks::test_wrong_pre_hook_signatures, test/test_jit.py::TestWarn::test_warn, test/test_jit.py::TestWarn::test_warn_multiple_calls_multiple_warnings, test/test_jit.py::TestWarn::test_warn_multiple_calls_same_func_diff_stack, test/test_jit.py::TestWarn::test_warn_once_per_func, test/test_jit.py::TestWarn::test_warn_once_per_func_in_loop, test/test_jit.py::TestWarn::test_warn_only_once, test/test_jit.py::TestWarn::test_warn_only_once_in_loop_func, test/test_jit.py::TestIsinstance::test_bool, test/test_jit.py::TestIsinstance::test_dict, test/test_jit.py::TestIsinstance::test_dict_nested, test/test_jit.py::TestIsinstance::test_dict_no_contained_type, test/test_jit.py::TestIsinstance::test_dict_tensor, test/test_jit.py::TestIsinstance::test_empty_container_special_cases, test/test_jit.py::TestIsinstance::test_empty_container_throws_warning_in_eager, test/test_jit.py::TestIsinstance::test_float, test/test_jit.py::TestIsinstance::test_if_else, test/test_jit.py::TestIsinstance::test_in_if, test/test_jit.py::TestIsinstance::test_in_while_loop, test/test_jit.py::TestIsinstance::test_int, test/test_jit.py::TestIsinstance::test_list, test/test_jit.py::TestIsinstance::test_list_nested, test/test_jit.py::TestIsinstance::test_list_no_contained_type, test/test_jit.py::TestIsinstance::test_list_tensor, test/test_jit.py::TestIsinstance::test_list_tensor_type_true, test/test_jit.py::TestIsinstance::test_nontuple_container_rhs_throws_in_eager, test/test_jit.py::TestIsinstance::test_optional, test/test_jit.py::TestIsinstance::test_optional_nested, test/test_jit.py::TestIsinstance::test_optional_no_contained_type, test/test_jit.py::TestIsinstance::test_optional_none, test/test_jit.py::TestIsinstance::test_tensor_type_false, test/test_jit.py::TestIsinstance::test_tuple, test/test_jit.py::TestIsinstance::test_tuple_nested, test/test_jit.py::TestIsinstance::test_tuple_no_contained_type, test/test_jit.py::TestIsinstance::test_tuple_rhs, test/test_jit.py::TestIsinstance::test_tuple_tensor, test/test_jit.py::TestIsinstance::test_type_refinement, test/test_jit.py::TestPythonBuiltinOP::test_add, test/test_jit.py::TestPythonBuiltinOP::test_adv_indexing_list, test/test_jit.py::TestPythonBuiltinOP::test_advancedindex, test/test_jit.py::TestPythonBuiltinOP::test_gather, test/test_jit.py::TestPythonBuiltinOP::test_index, test/test_jit.py::TestPythonBuiltinOP::test_index_ellipses, test/test_jit.py::TestPythonBuiltinOP::test_inf, test/test_jit.py::TestPythonBuiltinOP::test_matmul_py3, test/test_jit.py::TestPythonBuiltinOP::test_mul, test/test_jit.py::TestPythonBuiltinOP::test_pow, test/test_jit.py::TestPythonBuiltinOP::test_random, test/test_jit.py::TestPythonBuiltinOP::test_slice, test/test_jit.py::TestPythonBuiltinOP::test_stepped_tuple_slicing, test/test_jit.py::TestPythonBuiltinOP::test_str_to_float, test/test_jit.py::TestPythonBuiltinOP::test_triple, test/test_jit.py::TestTyping::test_bool_list_io, test/test_jit.py::TestTyping::test_dict_comprehension, test/test_jit.py::TestTyping::test_dict_comprehension_scope, test/test_jit.py::TestTyping::test_dict_comprehension_with_type_annotation, test/test_jit.py::TestTyping::test_dict_in_not_in, test/test_jit.py::TestTyping::test_dict_invalid_annotations, test/test_jit.py::TestTyping::test_dict_type_refinement_annotation_key_mismatch, test/test_jit.py::TestTyping::test_dict_type_refinement_annotation_value_mismatch, test/test_jit.py::TestTyping::test_for_in_dict, test/test_jit.py::TestTyping::test_for_in_string, test/test_jit.py::TestTyping::test_for_tuple_assign, test/test_jit.py::TestTyping::test_for_tuple_unpack, test/test_jit.py::TestTyping::test_inherited_annotations_python_310, test/test_jit.py::TestTyping::test_list_io, test/test_jit.py::TestTyping::test_list_iterables, test/test_jit.py::TestTyping::test_list_sum, test/test_jit.py::TestTyping::test_list_type_refinement_annotation_element_mismatch, test/test_jit.py::TestTyping::test_list_unification, test/test_jit.py::TestTyping::test_multiple_assign, test/test_jit.py::TestTyping::test_namedtuple_error_source_attribution, test/test_jit.py::TestTyping::test_namedtuple_good_error, test/test_jit.py::TestTyping::test_namedtuple_py2, test/test_jit.py::TestTyping::test_namedtuple_redefine, test/test_jit.py::TestTyping::test_nested_list, test/test_jit.py::TestTyping::test_opt_opt_refinement, test/test_jit.py::TestTyping::test_optional_conversion, test/test_jit.py::TestTyping::test_optional_refinement, test/test_jit.py::TestTyping::test_optional_tuple, test/test_jit.py::TestTyping::test_singleton_tuple_unpack, test/test_jit.py::TestTyping::test_sum_list_diff_elms, test/test_jit.py::TestTyping::test_sum_list_empty, test/test_jit.py::TestTyping::test_sum_list_literal, test/test_jit.py::TestTyping::test_sum_list_one, test/test_jit.py::TestTyping::test_sum_list_wrong_type, test/test_jit.py::TestTyping::test_tuple_assignments, test/test_jit.py::TestTyping::test_tuple_create_return, test/test_jit.py::TestTyping::test_tuple_io, test/test_jit.py::TestTyping::test_tuple_keyword, test/test_jit.py::TestTyping::test_tuple_specialization, test/test_jit.py::TestHash::test_hash_bool, test/test_jit.py::TestHash::test_hash_device, test/test_jit.py::TestHash::test_hash_float, test/test_jit.py::TestHash::test_hash_int, test/test_jit.py::TestHash::test_hash_none, test/test_jit.py::TestHash::test_hash_string, test/test_jit.py::TestHash::test_hash_tensor, test/test_jit.py::TestHash::test_hash_tuple, test/test_jit.py::TestHash::test_hash_tuple_nested_unhashable_type, test/test_jit.py::TestComplex::test_binary_op_complex_tensor, test/test_jit.py::TestComplex::test_comparison_ops, test/test_jit.py::TestComplex::test_complex_constants_and_ops, test/test_jit.py::TestComplex::test_complex_constructor, test/test_jit.py::TestComplex::test_complex_list_sum, test/test_jit.py::TestComplex::test_complex_parse, test/test_jit.py::TestComplex::test_complexdict, test/test_jit.py::TestComplex::test_complexlist, test/test_jit.py::TestComplex::test_div, test/test_jit.py::TestComplex::test_infj_nanj_pickle, test/test_jit.py::TestComplex::test_pickle, test/test_jit.py::TestComplex::test_script, test/test_jit.py::TestComplex::test_tensor_attributes, test/test_jit.py::TestComplex::test_torch_complex_constructor_with_tensor, test/test_jit.py::TestJitUtils::test_checkscriptassertraisesregex, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_hybrid, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_keyword_only, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_positional_only, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_positional_or_keyword, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_var_keyword, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_var_positional, test/test_jit.py::TestJitUtils::test_no_tracer_warn_context_manager, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_annotation_and_init_annotation, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_annotation_only, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_jit_annotation, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_dict, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_dict_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_list, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_list_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_optional, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_tensor, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_falsy_base_type, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_nonempty_container, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_attribute, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_dict, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_dict_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_list, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_list_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_optional, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_torch_jit_import, test/test_jit.py::TestTypesAndAnnotation::test_annotate_outside_init, test/test_jit.py::TestTypesAndAnnotation::test_bad_types, test/test_jit.py::TestTypesAndAnnotation::test_ignore_with_types, test/test_jit.py::TestTypesAndAnnotation::test_ignoring_fn_with_nonscriptable_types, test/test_jit.py::TestTypesAndAnnotation::test_ignoring_module_attributes, test/test_jit.py::TestTypesAndAnnotation::test_inferred_type_error_message, test/test_jit.py::TestTypesAndAnnotation::test_mismatched_annotation, test/test_jit.py::TestTypesAndAnnotation::test_optional_no_element_type_annotation, test/test_jit.py::TestTypesAndAnnotation::test_parser_bug, test/test_jit.py::TestTypesAndAnnotation::test_pep585_type, test/test_jit.py::TestTypesAndAnnotation::test_python_callable, test/test_jit.py::TestTypesAndAnnotation::test_reannotate, test/test_jit.py::TestTypesAndAnnotation::test_tuple_no_element_type_annotation, test/test_jit.py::TestTypesAndAnnotation::test_type_annotate_py3, test/test_jit.py::TestTypesAndAnnotation::test_types_as_values, test/test_jit.py::TestTypesAndAnnotation::test_unimported_type_resolution, test/test_jit.py::TestMisc::test_broadcasting_list, test/test_jit.py::TestMisc::test_export_opnames_interface, test/test_jit.py::TestMisc::test_future_isinstance, test/test_jit.py::TestMisc::test_hacked_twin, test/test_jit.py::TestMisc::test_if_returning_any, test/test_jit.py::TestMisc::test_jit_get_operation_order, test/test_jit.py::TestMisc::test_joined_str, test/test_jit.py::TestMisc::test_kwarg_support, test/test_jit.py::TestMisc::test_legacy_tensor_constructor, test/test_jit.py::TestMisc::test_list_literal_infer, test/test_jit.py::TestMisc::test_math_inf, test/test_jit.py::TestMisc::test_parse_ir_annotate, test/test_jit.py::TestMisc::test_parse_ir_single_element_tensor_negative, test/test_jit.py::TestMisc::test_parse_ir_single_element_tensor_positive, test/test_jit.py::TestMisc::test_pow_multiple_dtype, test/test_jit.py::TestMisc::test_script_many_decorators, test/test_jit.py::TestMisc::test_str_refine_any, test/test_jit.py::TestMisc::test_subexpression_Dict_int_Future, test/test_jit.py::TestMisc::test_subexpression_Future_annotate, test/test_jit.py::TestMisc::test_subexpression_List_Future, test/test_jit.py::TestMisc::test_subexpression_Optional, test/test_jit.py::TestMisc::test_subexpression_Tuple_int_int_Future, test/test_jit.py::TestMisc::test_tuple_subscripted_assign, test/test_jit.py::TestMisc::test_unsafe_hacked_twin, test/test_jit.py::TestUpgraders::test_add_value_to_version_map, test/test_jit.py::TestUpgraders::test_aten_div_scalar_at_3, test/test_jit.py::TestUpgraders::test_aten_div_tensor_at_3, test/test_jit.py::TestUpgraders::test_aten_div_tensor_out_at_3, test/test_jit.py::TestUpgraders::test_aten_full_at_4, test/test_jit.py::TestUpgraders::test_aten_full_other_variants, test/test_jit.py::TestUpgraders::test_aten_full_out_at_4, test/test_jit.py::TestUpgraders::test_aten_linspace, test/test_jit.py::TestUpgraders::test_aten_linspace_out, test/test_jit.py::TestUpgraders::test_aten_logspace, test/test_jit.py::TestUpgraders::test_aten_logspace_out, test/test_jit.py::TestUpgraders::test_aten_test_serialization, test/test_jit.py::TestUpgraders::test_populated_test_upgrader_graph, test/test_jit.py::TestUpgraders::test_populated_upgrader_graph, test/test_jit.py::TestTensorCreationOps::test_randperm_default_dtype, test/test_jit.py::TestTensorCreationOps::test_randperm_specifed_dtype, test/test_jit.py::TestTensorCreationOps::test_tril_indices_default_dtype, test/test_jit.py::TestTensorCreationOps::test_tril_indices_specified_dtype, test/test_jit.py::TestTensorCreationOps::test_triu_indices_default_dtype, test/test_jit.py::TestTensorCreationOps::test_triu_indices_specified_dtype, test/test_jit.py::TestModuleAPIs::test_customized_state_dict_methods, test/test_jit.py::TestModuleAPIs::test_default_state_dict_methods, test/test_jit.py::TestModuleAPIs::test_submodule_customized_state_dict_methods, test/test_jit.py::TestScriptProfile::test_basic, test/test_jit.py::TestScriptProfile::test_empty, test/test_jit.py::TestScriptProfile::test_multi, test/test_jit.py::TestScriptProfile::test_script, test/test_jit.py::TestScriptProfile::test_section, test/test_jit.py::TestFunctionalToInplaceActivation::test_check_no_type_promotion, test/test_jit.py::TestFunctionalToInplaceActivation::test_functional_to_inplace_activation, test/test_jit.py::TestFunctionalToInplaceActivation::test_no_functional_to_inplace, test/test_jit.py::TestFunctionalToInplaceActivation::test_resnet18_correctness, test/test_jit.py::TestInplaceToFunctionalActivation::test_inplace_to_functional_activation, test/test_jit.py::TestInplaceToFunctionalActivation::test_resnet18_correctness, test/test_jit.py::TestParametrization::test_scriptable, test/test_jit.py::TestParametrization::test_traceable, test/test_jit.py::TestGetDefaultAttr::test_getattr_named_tuple, test/test_jit.py::TestGetDefaultAttr::test_getattr_tuple, test/test_jit.py::TestGetDefaultAttr::test_getattr_with_default, test/test_jit.py::TestAtenPow::test_aten_pow_zero_negative_exponent, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_1, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_2, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_3, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_4, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_insert_pre_packed_linear_before_inline_and_conv_2d_op, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_insert_pre_packed_linear_op, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_replace_conv1d_with_conv2d, test/test_jit.py::TestUnion::test_check_union_annotation, test/test_jit.py::TestUnion::test_union_T_None_is_equivalent_to_optional_T, test/test_jit.py::TestUnion::test_union_argument_order_is_ignored, test/test_jit.py::TestUnion::test_union_argument_order_is_ignored_container, test/test_jit.py::TestUnion::test_union_as_annotation, test/test_jit.py::TestUnion::test_union_as_annotation_in_typed_container, test/test_jit.py::TestUnion::test_union_as_annotation_py2, test/test_jit.py::TestUnion::test_union_as_dict_key, test/test_jit.py::TestUnion::test_union_as_dict_value, test/test_jit.py::TestUnion::test_union_as_internal_tuple_type, test/test_jit.py::TestUnion::test_union_branching_does_not_autoinfer_undeclared_union, test/test_jit.py::TestUnion::test_union_branching_does_not_widen_existing_inferred_type, test/test_jit.py::TestUnion::test_union_branching_with_union_return_and_homogenous_types, test/test_jit.py::TestUnion::test_union_does_not_replace_existing_annotated_type, test/test_jit.py::TestUnion::test_union_does_not_replace_existing_annotated_type_empty_container, test/test_jit.py::TestUnion::test_union_does_not_replace_existing_annotated_type_union, test/test_jit.py::TestUnion::test_union_in_class_constructor, test/test_jit.py::TestUnion::test_union_memory_aliasing, test/test_jit.py::TestUnion::test_union_module_with_union_class_variable, test/test_jit.py::TestUnion::test_union_module_with_union_instance_variable, test/test_jit.py::TestUnion::test_union_optional_of_union_is_flattened, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped_container, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped_optional, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped_subtyping, test/test_jit.py::TestUnion::test_union_return_type, test/test_jit.py::TestUnion::test_union_schema_matching_on_internal_type, test/test_jit.py::TestUnion::test_union_serialization_preserves_type_annotations, test/test_jit.py::TestUnion::test_union_subclasses_larger_union, test/test_jit.py::TestUnion::test_union_subtractive_refinement, test/test_jit.py::TestUnion::test_union_subtractive_refinement_with_container, test/test_jit.py::TestUnion::test_union_type_refinement, test/test_jit.py::TestUnion::test_union_type_refinement_internal_declaration, 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test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool3d_cpu_int32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool3d_cpu_int64, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool3d_cpu_int8, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_max_pool3d_cpu_uint8, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_prelu_cpu_bfloat16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_prelu_cpu_float16, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_prelu_cpu_float32, test/test_jit.py::TestDtypeCustomRulesCPU::test_custom_rules_nn_functional_prelu_cpu_float64, test/test_jit.py::TestDeviceAnalysis::test_custom_device_op, test/test_jit.py::TestDeviceAnalysis::test_device_apply, test/test_jit.py::TestDeviceAnalysis::test_device_arg, 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test/test_jit.py::TestScript::test_call_traced_mod_from_tracing_fn, test/test_jit.py::TestScript::test_calls_in_type_annotations, test/test_jit.py::TestScript::test_canonicalize_control_outputs, test/test_jit.py::TestScript::test_cast, test/test_jit.py::TestScript::test_cat, test/test_jit.py::TestScript::test_cat_lifts, test/test_jit.py::TestScript::test_chr, test/test_jit.py::TestScript::test_circular_dependency, test/test_jit.py::TestScript::test_class_as_attribute, test/test_jit.py::TestScript::test_class_attribute, test/test_jit.py::TestScript::test_class_attribute_in_script, test/test_jit.py::TestScript::test_class_with_comment_at_lower_indentation, test/test_jit.py::TestScript::test_code_with_constants, test/test_jit.py::TestScript::test_code_with_constants_restore, test/test_jit.py::TestScript::test_comment_ignore_indent, test/test_jit.py::TestScript::test_compare_two_bool_inputs, test/test_jit.py::TestScript::test_compile_module_with_constant, 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test/test_jit.py::TestScript::test_dropout_eval, test/test_jit.py::TestScript::test_dtype_attr, test/test_jit.py::TestScript::test_dtype_op_shape, test/test_jit.py::TestScript::test_dtype_op_shape2, test/test_jit.py::TestScript::test_early_return_closure, test/test_jit.py::TestScript::test_early_return_fork_join, test/test_jit.py::TestScript::test_early_return_rewrite, test/test_jit.py::TestScript::test_early_return_type_refinement, test/test_jit.py::TestScript::test_early_returns_loops, test/test_jit.py::TestScript::test_ellipsis_const_end, test/test_jit.py::TestScript::test_ellipsis_const_mid, test/test_jit.py::TestScript::test_ellipsis_const_mid_select, test/test_jit.py::TestScript::test_ellipsis_const_start, test/test_jit.py::TestScript::test_ellipsis_end, test/test_jit.py::TestScript::test_ellipsis_mid, test/test_jit.py::TestScript::test_ellipsis_mid_select, test/test_jit.py::TestScript::test_ellipsis_start, test/test_jit.py::TestScript::test_embedding_renorm_grad_error, 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test/test_jit.py::TestScript::test_tensor_to, test/test_jit.py::TestScript::test_tensor_to_cpu, test/test_jit.py::TestScript::test_tensor_to_cuda, test/test_jit.py::TestScript::test_tensor_to_device, test/test_jit.py::TestScript::test_ternary, test/test_jit.py::TestScript::test_ternary_module_type_hint, test/test_jit.py::TestScript::test_ternary_right_associative, test/test_jit.py::TestScript::test_ternary_static_if, test/test_jit.py::TestScript::test_torch_any, test/test_jit.py::TestScript::test_torch_functional, test/test_jit.py::TestScript::test_torch_functional_tensordot_int, test/test_jit.py::TestScript::test_torch_functional_tensordot_list, test/test_jit.py::TestScript::test_torch_functional_tensordot_tensor, test/test_jit.py::TestScript::test_torch_functional_tensordot_tuple, test/test_jit.py::TestScript::test_torch_ignore_conversion_to_none, test/test_jit.py::TestScript::test_torch_manual_seed, test/test_jit.py::TestScript::test_torch_pow, test/test_jit.py::TestScript::test_torch_tensor_as_tensor, test/test_jit.py::TestScript::test_torch_tensor_as_tensor_empty_list, test/test_jit.py::TestScript::test_torch_tensor_bad_input, test/test_jit.py::TestScript::test_torch_tensor_dtype, test/test_jit.py::TestScript::test_torchscript_memoryformat, test/test_jit.py::TestScript::test_torchscript_multi_head_attn, test/test_jit.py::TestScript::test_torchscript_multi_head_attn_fast_path, test/test_jit.py::TestScript::test_training_param, test/test_jit.py::TestScript::test_tuple_assignments, test/test_jit.py::TestScript::test_tuple_error_msg, test/test_jit.py::TestScript::test_tuple_index_to_list, test/test_jit.py::TestScript::test_tuple_indexing, test/test_jit.py::TestScript::test_tuple_len, test/test_jit.py::TestScript::test_tuple_nested_sort, test/test_jit.py::TestScript::test_tuple_sort, test/test_jit.py::TestScript::test_tuple_sort_reverse, test/test_jit.py::TestScript::test_tuple_sorted, test/test_jit.py::TestScript::test_tuple_str, test/test_jit.py::TestScript::test_tuple_to_opt_list, test/test_jit.py::TestScript::test_tuple_unsortable_diff_type, test/test_jit.py::TestScript::test_tuple_unsortable_element_type, test/test_jit.py::TestScript::test_tuple_unsortable_nested_diff_type, test/test_jit.py::TestScript::test_type_annotate, test/test_jit.py::TestScript::test_type_annotation_module, test/test_jit.py::TestScript::test_type_annotation_py3, test/test_jit.py::TestScript::test_type_annotations, test/test_jit.py::TestScript::test_type_annotations_repeated_list, test/test_jit.py::TestScript::test_type_annotations_varargs, test/test_jit.py::TestScript::test_type_call_in_script, test/test_jit.py::TestScript::test_type_cast, test/test_jit.py::TestScript::test_type_comments_in_body, test/test_jit.py::TestScript::test_type_inferred_from_empty_annotation, test/test_jit.py::TestScript::test_unbind, test/test_jit.py::TestScript::test_unfold_zero_dim, test/test_jit.py::TestScript::test_unicode_comments, test/test_jit.py::TestScript::test_uninitialized, test/test_jit.py::TestScript::test_union_to_number, test/test_jit.py::TestScript::test_unknown_builtin, test/test_jit.py::TestScript::test_unmatched_type_annotation, test/test_jit.py::TestScript::test_unspecialized_any_binding, test/test_jit.py::TestScript::test_unsqueeze_guard_elimination, test/test_jit.py::TestScript::test_unsupported_builtin_error, test/test_jit.py::TestScript::test_unused_decorator, test/test_jit.py::TestScript::test_unwrap_optional_builtin, test/test_jit.py::TestScript::test_var_aug_assign, test/test_jit.py::TestScript::test_vararg_zeros, test/test_jit.py::TestScript::test_view_listconstruct_shape_prop, test/test_jit.py::TestScript::test_view_shape_prop, test/test_jit.py::TestScript::test_view_write, test/test_jit.py::TestScript::test_weak_cuda, test/test_jit.py::TestScript::test_where, test/test_jit.py::TestScript::test_where_method, test/test_jit.py::TestScript::test_while, test/test_jit.py::TestScript::test_while_nest_if, test/test_jit.py::TestScript::test_while_nonexistent_cond_value, test/test_jit.py::TestScript::test_while_nonexistent_value, test/test_jit.py::TestScript::test_while_write_outer_then_read, test/test_jit.py::TestScript::test_wrong_attr_lookup, test/test_jit.py::TestScript::test_wrong_implicit_expand, test/test_jit.py::TestScript::test_wrong_method_call_inputs, test/test_jit.py::TestScript::test_wrong_module_attr_lookup, test/test_jit.py::TestScript::test_wrong_return_type, test/test_jit.py::TestScript::test_wrong_use_as_callable, test/test_jit.py::TestScript::test_wrong_use_as_tuple, test/test_jit.py::TestScript::test_zero_dimension_tensor_trace, test/test_jit.py::TestScript::test_zeros, test/test_jit.py::TestScript::test_zip_enumerate_modulelist, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_weights_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_BCELoss_weights_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_legacy_enum, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_BCEWithLogitsLoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_Bilinear, test/test_jit.py::TestJitGeneratedModule::test_nn_CELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_circular_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad1, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad1size1, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad2size1, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad_same, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad_same2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad_same_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_pad_valid, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_reflect_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_replicate_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_stride, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_zero_batch, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv1d_zeros_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_circular_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_depthwise, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_depthwise_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_depthwise_padded, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_depthwise_strided, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_depthwise_with_multiplier, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_groups_thnn, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_pad_same, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_pad_same_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_pad_valid, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_padding, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_reflect_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_replicate_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_strided, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_zero_batch, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_zeros_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_1x1x1_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_circular_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_dilated_strided, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_pad_same, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_pad_same_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_pad_valid, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_replicate_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_stride, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_stride_padding, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_zero_batch, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_zeros_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose1d_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose2d_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose3d, test/test_jit.py::TestJitGeneratedModule::test_nn_ConvTranspose3d_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_CosineEmbeddingLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_CosineEmbeddingLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_CosineEmbeddingLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_CrossMapLRN2d, test/test_jit.py::TestJitGeneratedModule::test_nn_ELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Embedding, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_discontiguous, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_max, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_max_padding_idx, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_mean_padding_idx, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_sparse, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_EmbeddingBag_sum_padding_idx, test/test_jit.py::TestJitGeneratedModule::test_nn_Embedding_discontiguous, test/test_jit.py::TestJitGeneratedModule::test_nn_Embedding_sparse, test/test_jit.py::TestJitGeneratedModule::test_nn_Flatten, test/test_jit.py::TestJitGeneratedModule::test_nn_Flatten_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold_int_input, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold_no_batch_dim_input, test/test_jit.py::TestJitGeneratedModule::test_nn_Fold_no_batch_dim_int_input, test/test_jit.py::TestJitGeneratedModule::test_nn_GELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_GLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_GRUCell, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardshrink_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardsigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardswish_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Hardtanh_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_margin_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_delta, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_log_target, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_scalar_log_target, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_with_log_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_with_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce_complex, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_LSTMCell, test/test_jit.py::TestJitGeneratedModule::test_nn_LayerNorm_3d_no_affine_large_feature, test/test_jit.py::TestJitGeneratedModule::test_nn_LeakyReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_LogSigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_Mish_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_0d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_1d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_index_neg, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_1d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_margin_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_p_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_weights_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiheadAttention, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss2d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss2d_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss2d_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_jit.py::TestJitGeneratedModule::test_nn_PReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_broadcast_lhs, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_broadcast_rhs, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_with_non_default_args, test/test_jit.py::TestJitGeneratedModule::test_nn_PixelShuffle, test/test_jit.py::TestJitGeneratedModule::test_nn_PixelUnshuffle, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_RNNCell, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_with_up_down, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_with_up_down_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_ReLU6_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_ReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d_complex, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SiLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Sigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_beta, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_zero_beta, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_SoftMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_Softplus_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Softshrink_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Softsign_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Tanh_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Tanhshrink_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Threshold_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Transformer, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerDecoderLayer_gelu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerDecoderLayer_relu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerEncoderLayer_gelu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_TransformerEncoderLayer_relu_activation, test/test_jit.py::TestJitGeneratedModule::test_nn_Transformer_multilayer_coder, test/test_jit.py::TestJitGeneratedModule::test_nn_TripletMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_TripletMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_TripletMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_Unflatten_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Unfold, test/test_jit.py::TestJitGeneratedModule::test_nn_Unfold_int_input, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_tuple_shared_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_tuple_skewed_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bicubic_tuple_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_tuple_shared_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_tuple_skewed_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_bilinear_tuple_2d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_1d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_1d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_scale_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_scale_1d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_tuple_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_1d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d_launch_configs, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_3d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_3d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_scale_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_scale_3d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_tuple_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_tuple_3d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_dim0, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_dim3, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_lastdim, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_spatial, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_spatial_special, test/test_jit.py::TestJitGeneratedModule::test_nn_multimarginloss_1d_input_0d_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_dim0, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_dim3, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_lastdim, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_lastdim_dtype, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial_dtype, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial_special, test/test_jit.py::TestProducerVersion::test_version 2025-07-17T09:06:11.3883476Z 2025-07-17T09:06:15.3392727Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:06:15.3395759Z import pkg_resources 2025-07-17T09:06:15.5342649Z Running optim/test_lrscheduler 1/1 ... [2025-07-17 09:06:15.532897] 2025-07-17T09:06:15.5343527Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:06:15.5345429Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'optim/test_lrscheduler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:06:15.533424] 2025-07-17T09:06:19.9536679Z 2025-07-17T09:06:19.9538144Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_abc4898fff3c7412_.log 2025-07-17T09:06:19.9539858Z 2025-07-17T09:06:24.3228923Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:06:24.3233075Z import pkg_resources 2025-07-17T09:06:24.5086905Z Running dynamo/test_aot_autograd 1/1 ... [2025-07-17 09:06:24.507547] 2025-07-17T09:06:24.5087854Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:06:24.5090021Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_aot_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:06:24.507998] 2025-07-17T09:06:29.0752224Z 2025-07-17T09:06:29.0757637Z dynamo/test_aot_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_1.1_6872344b03a585c1_.log 2025-07-17T09:06:29.0760750Z 2025-07-17T09:06:32.6880450Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:06:32.6884302Z import pkg_resources 2025-07-17T09:06:32.8178337Z Running dynamo/test_error_messages 1/1 ... [2025-07-17 09:06:32.816604] 2025-07-17T09:06:32.8179367Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:06:32.8181613Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_error_messages.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:06:32.817070] 2025-07-17T09:06:37.3060219Z 2025-07-17T09:06:37.3062069Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_a55ac51b661f0590_.log 2025-07-17T09:06:37.3067909Z 2025-07-17T09:06:41.8581542Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:06:41.8584571Z import pkg_resources 2025-07-17T09:06:42.0498761Z Running test_accelerator 1/1 ... [2025-07-17 09:06:42.049403] 2025-07-17T09:06:42.0499640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:06:42.0503074Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_accelerator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:06:42.049955] 2025-07-17T09:06:45.6543829Z 2025-07-17T09:06:45.6545261Z test_accelerator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_accelerator_1.1_aa1fba1e4560e227_.log 2025-07-17T09:06:45.6546589Z 2025-07-17T09:06:50.0596933Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:06:50.0600126Z import pkg_resources 2025-07-17T09:06:50.1922567Z Running dynamo/test_callback 1/1 ... [2025-07-17 09:06:50.191832] 2025-07-17T09:06:50.1923181Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:06:50.1925720Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_callback.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:06:50.192238] 2025-07-17T09:06:59.2755370Z 2025-07-17T09:06:59.2757533Z dynamo/test_callback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_callback_1.1_69ba24a6faef71cb_.log 2025-07-17T09:06:59.2759500Z 2025-07-17T09:07:03.8977368Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:07:03.8981095Z import pkg_resources 2025-07-17T09:07:04.0755971Z Running dynamo/test_exceptions 1/1 ... [2025-07-17 09:07:04.075152] 2025-07-17T09:07:04.0756798Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:07:04.0758418Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_exceptions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:07:04.075524] 2025-07-17T09:07:07.9037543Z 2025-07-17T09:07:07.9039104Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_68244c0a20117b19_.log 2025-07-17T09:07:07.9040498Z 2025-07-17T09:07:11.9902555Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:07:11.9905940Z import pkg_resources 2025-07-17T09:07:12.1818565Z Running dynamo/test_hooks 1/1 ... [2025-07-17 09:07:12.181360] 2025-07-17T09:07:12.1820090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:07:12.1823072Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_hooks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:07:12.181849] 2025-07-17T09:07:16.9513074Z 2025-07-17T09:07:16.9514612Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_8297680a40bc0958_.log 2025-07-17T09:07:16.9601497Z 2025-07-17T09:07:20.8433453Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:07:20.8436629Z import pkg_resources 2025-07-17T09:07:20.9752219Z Running test_matmul_cuda 1/1 ... [2025-07-17 09:07:20.974831] 2025-07-17T09:07:20.9752782Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:07:20.9756193Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_matmul_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:07:20.975209] 2025-07-17T09:07:25.0683418Z 2025-07-17T09:07:25.0689531Z test_matmul_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_matmul_cuda_1.1_60b723b5f951aa5b_.log 2025-07-17T09:07:25.0697943Z Running 0 items in this shard: 2025-07-17T09:07:25.0703004Z 2025-07-17T09:07:29.4461056Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:07:29.4464043Z import pkg_resources 2025-07-17T09:07:29.6384372Z Running dynamo/test_bytecode_utils 1/1 ... [2025-07-17 09:07:29.637979] 2025-07-17T09:07:29.6385464Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:07:29.6393816Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_bytecode_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:07:29.638930] 2025-07-17T09:07:33.5246375Z 2025-07-17T09:07:33.5247718Z test_modules 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.2_274e8f8f8dd61937_.log 2025-07-17T09:07:33.6576455Z Running 1800 items in this shard: test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_forward_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BatchNorm1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNN_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNN_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerEncoder_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_repr_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_repr_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_repr_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_save_load_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_save_load_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BCELoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BCEWithLogitsLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm2d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm3d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm3d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Bilinear_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Bilinear_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CELU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CELU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CTCLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CosineEmbeddingLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CrossEntropyLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Embedding_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_FractionalMaxPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_FractionalMaxPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_FractionalMaxPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GELU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GLU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRUCell_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRUCell_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRU_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardswish_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardtanh_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_HuberLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_HuberLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm1d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm2d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm2d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm2d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm3d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm3d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_KLDivLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_L1Loss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTMCell_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTM_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTM_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LayerNorm_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LeakyReLU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LeakyReLU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Linear_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Linear_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LocalResponseNorm_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LocalResponseNorm_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LogSigmoid_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MSELoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Mish_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Mish_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiLabelSoftMarginLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiMarginLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiMarginLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiheadAttention_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_NLLLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_NLLLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_PReLU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNNCell_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNN_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNN_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNN_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReLU6_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SELU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Sigmoid_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SmoothL1Loss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SoftMarginLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SoftMarginLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmax2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmax2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmax_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmin_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softplus_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softplus_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softshrink_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softsign_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Tanh_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Tanhshrink_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Threshold_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerDecoderLayer_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoderLayer_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoderLayer_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoder_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoder_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoder_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Transformer_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Transformer_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Bilinear_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CosineEmbeddingLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GELU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardswish_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HingeEmbeddingLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HuberLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_KLDivLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_L1Loss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTMCell_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Linear_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelSoftMarginLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU6_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SELU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmin_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softplus_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanhshrink_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerDecoderLayer_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_True_set_grad_True_cpu_float32 2025-07-17T09:07:33.7672010Z 2025-07-17T09:07:33.7672024Z 2025-07-17T09:07:33.7673031Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_6af52a4e8f66da06_.log 2025-07-17T09:07:33.7674125Z 2025-07-17T09:07:37.1570543Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:07:37.1573822Z import pkg_resources 2025-07-17T09:07:37.2845608Z Running lazy/test_ts_opinfo 1/1 ... [2025-07-17 09:07:37.284046] 2025-07-17T09:07:37.2846693Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:07:37.2852318Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:07:37.284390] 2025-07-17T09:07:37.7446905Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:07:37.7449962Z import pkg_resources 2025-07-17T09:07:37.9537094Z Running test_maskedtensor 1/1 ... [2025-07-17 09:07:37.953207] 2025-07-17T09:07:37.9542089Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:07:37.9544283Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_maskedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:07:37.953735] 2025-07-17T09:08:02.7026217Z 2025-07-17T09:08:02.7027086Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_4001eeeed2667855_.log 2025-07-17T09:08:02.7363559Z Running 953 items in this shard: test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn0, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn1, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn10, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn11, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn12, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn13, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn14, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn15, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn16, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn17, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn18, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn19, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn2, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn20, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn21, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn22, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn23, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn24, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn25, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn26, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn27, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn28, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn29, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn3, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn30, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn31, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn32, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn33, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn34, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn35, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn36, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn37, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn38, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn39, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn4, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn40, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn41, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn42, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn43, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn44, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn45, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn46, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn47, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn48, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn49, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn5, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn50, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn51, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn52, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn53, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn54, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn55, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn56, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn57, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn6, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn7, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn8, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn9, test/test_maskedtensor.py::TestUnary::test_unary_fn0, test/test_maskedtensor.py::TestUnary::test_unary_fn1, test/test_maskedtensor.py::TestUnary::test_unary_fn10, test/test_maskedtensor.py::TestUnary::test_unary_fn11, test/test_maskedtensor.py::TestUnary::test_unary_fn12, test/test_maskedtensor.py::TestUnary::test_unary_fn13, test/test_maskedtensor.py::TestUnary::test_unary_fn14, test/test_maskedtensor.py::TestUnary::test_unary_fn15, test/test_maskedtensor.py::TestUnary::test_unary_fn16, test/test_maskedtensor.py::TestUnary::test_unary_fn17, test/test_maskedtensor.py::TestUnary::test_unary_fn18, test/test_maskedtensor.py::TestUnary::test_unary_fn19, test/test_maskedtensor.py::TestUnary::test_unary_fn2, test/test_maskedtensor.py::TestUnary::test_unary_fn20, test/test_maskedtensor.py::TestUnary::test_unary_fn21, test/test_maskedtensor.py::TestUnary::test_unary_fn22, test/test_maskedtensor.py::TestUnary::test_unary_fn23, test/test_maskedtensor.py::TestUnary::test_unary_fn24, test/test_maskedtensor.py::TestUnary::test_unary_fn25, test/test_maskedtensor.py::TestUnary::test_unary_fn26, test/test_maskedtensor.py::TestUnary::test_unary_fn27, test/test_maskedtensor.py::TestUnary::test_unary_fn28, test/test_maskedtensor.py::TestUnary::test_unary_fn29, test/test_maskedtensor.py::TestUnary::test_unary_fn3, test/test_maskedtensor.py::TestUnary::test_unary_fn30, test/test_maskedtensor.py::TestUnary::test_unary_fn31, test/test_maskedtensor.py::TestUnary::test_unary_fn32, test/test_maskedtensor.py::TestUnary::test_unary_fn33, test/test_maskedtensor.py::TestUnary::test_unary_fn34, test/test_maskedtensor.py::TestUnary::test_unary_fn35, test/test_maskedtensor.py::TestUnary::test_unary_fn36, test/test_maskedtensor.py::TestUnary::test_unary_fn37, test/test_maskedtensor.py::TestUnary::test_unary_fn38, test/test_maskedtensor.py::TestUnary::test_unary_fn39, test/test_maskedtensor.py::TestUnary::test_unary_fn4, test/test_maskedtensor.py::TestUnary::test_unary_fn40, test/test_maskedtensor.py::TestUnary::test_unary_fn41, test/test_maskedtensor.py::TestUnary::test_unary_fn42, test/test_maskedtensor.py::TestUnary::test_unary_fn43, test/test_maskedtensor.py::TestUnary::test_unary_fn44, test/test_maskedtensor.py::TestUnary::test_unary_fn45, test/test_maskedtensor.py::TestUnary::test_unary_fn46, test/test_maskedtensor.py::TestUnary::test_unary_fn47, test/test_maskedtensor.py::TestUnary::test_unary_fn48, test/test_maskedtensor.py::TestUnary::test_unary_fn49, test/test_maskedtensor.py::TestUnary::test_unary_fn5, test/test_maskedtensor.py::TestUnary::test_unary_fn50, test/test_maskedtensor.py::TestUnary::test_unary_fn51, test/test_maskedtensor.py::TestUnary::test_unary_fn52, test/test_maskedtensor.py::TestUnary::test_unary_fn53, test/test_maskedtensor.py::TestUnary::test_unary_fn54, test/test_maskedtensor.py::TestUnary::test_unary_fn55, test/test_maskedtensor.py::TestUnary::test_unary_fn56, test/test_maskedtensor.py::TestUnary::test_unary_fn57, test/test_maskedtensor.py::TestUnary::test_unary_fn58, test/test_maskedtensor.py::TestUnary::test_unary_fn59, test/test_maskedtensor.py::TestUnary::test_unary_fn6, test/test_maskedtensor.py::TestUnary::test_unary_fn60, test/test_maskedtensor.py::TestUnary::test_unary_fn61, test/test_maskedtensor.py::TestUnary::test_unary_fn7, test/test_maskedtensor.py::TestUnary::test_unary_fn8, test/test_maskedtensor.py::TestUnary::test_unary_fn9, test/test_maskedtensor.py::TestBinary::test_binary_fn0, test/test_maskedtensor.py::TestBinary::test_binary_fn1, test/test_maskedtensor.py::TestBinary::test_binary_fn10, test/test_maskedtensor.py::TestBinary::test_binary_fn11, test/test_maskedtensor.py::TestBinary::test_binary_fn12, test/test_maskedtensor.py::TestBinary::test_binary_fn13, test/test_maskedtensor.py::TestBinary::test_binary_fn14, test/test_maskedtensor.py::TestBinary::test_binary_fn15, test/test_maskedtensor.py::TestBinary::test_binary_fn16, test/test_maskedtensor.py::TestBinary::test_binary_fn17, test/test_maskedtensor.py::TestBinary::test_binary_fn18, test/test_maskedtensor.py::TestBinary::test_binary_fn19, test/test_maskedtensor.py::TestBinary::test_binary_fn2, test/test_maskedtensor.py::TestBinary::test_binary_fn20, test/test_maskedtensor.py::TestBinary::test_binary_fn21, test/test_maskedtensor.py::TestBinary::test_binary_fn22, test/test_maskedtensor.py::TestBinary::test_binary_fn23, test/test_maskedtensor.py::TestBinary::test_binary_fn24, test/test_maskedtensor.py::TestBinary::test_binary_fn25, test/test_maskedtensor.py::TestBinary::test_binary_fn26, test/test_maskedtensor.py::TestBinary::test_binary_fn27, test/test_maskedtensor.py::TestBinary::test_binary_fn28, test/test_maskedtensor.py::TestBinary::test_binary_fn29, test/test_maskedtensor.py::TestBinary::test_binary_fn3, test/test_maskedtensor.py::TestBinary::test_binary_fn30, test/test_maskedtensor.py::TestBinary::test_binary_fn31, test/test_maskedtensor.py::TestBinary::test_binary_fn32, test/test_maskedtensor.py::TestBinary::test_binary_fn33, test/test_maskedtensor.py::TestBinary::test_binary_fn34, test/test_maskedtensor.py::TestBinary::test_binary_fn35, test/test_maskedtensor.py::TestBinary::test_binary_fn4, test/test_maskedtensor.py::TestBinary::test_binary_fn5, test/test_maskedtensor.py::TestBinary::test_binary_fn6, test/test_maskedtensor.py::TestBinary::test_binary_fn7, test/test_maskedtensor.py::TestBinary::test_binary_fn8, test/test_maskedtensor.py::TestBinary::test_binary_fn9, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn0, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn1, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn10, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn11, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn12, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn13, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn14, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn15, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn16, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn17, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn18, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn19, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn2, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn20, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn21, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn22, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn23, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn24, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn25, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn26, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn27, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn28, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn29, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn3, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn4, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn5, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn6, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn7, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn8, test/test_maskedtensor.py::TestBinary::test_inplace_binary_fn9, test/test_maskedtensor.py::TestBinary::test_masks_match_fn_name_add, test/test_maskedtensor.py::TestBinary::test_masks_match_fn_name_add_, test/test_maskedtensor.py::TestReductions::test__is_any_true, test/test_maskedtensor.py::TestReductions::test__is_any_true_false, test/test_maskedtensor.py::TestReductions::test_all, test/test_maskedtensor.py::TestReductions::test_amax, test/test_maskedtensor.py::TestReductions::test_amax_grad, test/test_maskedtensor.py::TestReductions::test_amin, test/test_maskedtensor.py::TestReductions::test_amin_grad, test/test_maskedtensor.py::TestReductions::test_any_true_dtype, test/test_maskedtensor.py::TestReductions::test_backward, test/test_maskedtensor.py::TestReductions::test_grad_dtype, test/test_maskedtensor.py::TestReductions::test_max_not_implemented, test/test_maskedtensor.py::TestReductions::test_mean, test/test_maskedtensor.py::TestReductions::test_mean_dim_grad, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1a, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1b, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1c, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1d, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1e, test/test_maskedtensor.py::TestReductions::test_mean_grad_case_1f, 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test/test_maskedtensor.py::TestBasicsCPU::test_nn_unfold_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_softmax_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_stack_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_and_sparse_coo_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_and_sparse_csr_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_sparse_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_unfold_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_where_cpu 2025-07-17T09:08:02.7685864Z 2025-07-17T09:08:03.6462852Z 2025-07-17T09:08:03.6464155Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_97e4396e397e7093_.log 2025-07-17T09:08:03.6584606Z Running 292 items in this shard: test/lazy/test_ts_opinfo.py::TestLazyTensor::testConvolutionBackward, 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test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcdiv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bernoulli_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_pow_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_adaptiveavgpool3d_dynamic, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_nonzero_dynamic 2025-07-17T09:08:03.6698553Z 2025-07-17T09:08:06.4858057Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:08:06.4861396Z import pkg_resources 2025-07-17T09:08:06.6168571Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-07-17 09:08:06.616400] 2025-07-17T09:08:06.6170203Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:08:06.6172485Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarmath.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:08:06.616800] 2025-07-17T09:08:07.4291289Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:08:07.4295034Z import pkg_resources 2025-07-17T09:08:07.5616179Z Running torch_np/numpy_tests/core/test_getlimits 1/1 ... [2025-07-17 09:08:07.560568] 2025-07-17T09:08:07.5617074Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:08:07.5619002Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_getlimits.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:08:07.561047] 2025-07-17T09:08:11.6342150Z 2025-07-17T09:08:11.6343712Z torch_np/numpy_tests/core/test_getlimits 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_getlimits_1.1_2cc4614984eec409_.log 2025-07-17T09:08:11.6357218Z Running 17 items in this shard: test/torch_np/numpy_tests/core/test_getlimits.py::TestPythonFloat::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestHalf::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestSingle::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestDouble::test_singleton, test/torch_np/numpy_tests/core/test_getlimits.py::TestFinfo::test_basic, test/torch_np/numpy_tests/core/test_getlimits.py::TestFinfo::test_basic_missing, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_basic, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T0, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T1, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T2, test/torch_np/numpy_tests/core/test_getlimits.py::TestIinfo::test_unsigned_max_T3, test/torch_np/numpy_tests/core/test_getlimits.py::TestRepr::test_finfo_repr, test/torch_np/numpy_tests/core/test_getlimits.py::TestRepr::test_iinfo_repr, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_instances, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_known_types, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_plausible_finfo, test/torch_np/numpy_tests/core/test_getlimits.py::TestMisc::test_subnormal_warning 2025-07-17T09:08:11.6363909Z 2025-07-17T09:08:14.9260723Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:08:14.9263568Z import pkg_resources 2025-07-17T09:08:15.0562794Z Running dynamo/test_recompile_ux 1/1 ... [2025-07-17 09:08:15.055862] 2025-07-17T09:08:15.0563721Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:08:15.0566522Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:08:15.056259] 2025-07-17T09:08:18.4543623Z 2025-07-17T09:08:18.4544872Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_ffc4125e26fa6ee5_.log 2025-07-17T09:08:18.4545719Z 2025-07-17T09:08:21.7363751Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:08:21.7366596Z import pkg_resources 2025-07-17T09:08:21.8661091Z Running torch_np/numpy_tests/core/test_dtype 1/1 ... [2025-07-17 09:08:21.865668] 2025-07-17T09:08:21.8662157Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:08:21.8664470Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dtype.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:08:21.866069] 2025-07-17T09:08:25.6366854Z 2025-07-17T09:08:25.6368617Z torch_np/numpy_tests/core/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dtype_1.1_cdef2bb9fc46eb2a_.log 2025-07-17T09:08:25.6451161Z Running 102 items in this shard: test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_equivalent_dtype_hashing, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_invalid_types, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Bool, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Bytes0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Complex128, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Complex32, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Complex64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Datetime64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Float128, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Float16, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Float32, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Float64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Int16, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Int32, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Int64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Int8, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Object0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Str0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Timedelta64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_UInt16, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_UInt32, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_UInt64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_UInt8, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Uint32, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Uint64, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_numeric_style_types_are_invalid_dtype_Void0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_richcompare_invalid_dtype_comparison_operation0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_richcompare_invalid_dtype_comparison_operation1, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_richcompare_invalid_dtype_comparison_operation2, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_richcompare_invalid_dtype_comparison_operation3, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_richcompare_invalid_dtype_equality, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_run_t0, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_run_t1, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_run_t2, test/torch_np/numpy_tests/core/test_dtype.py::TestBuiltin::test_run_t3, test/torch_np/numpy_tests/core/test_dtype.py::TestDtypeAttributeDeletion::test_dtype_non_writable_attributes_deletion, test/torch_np/numpy_tests/core/test_dtype.py::TestDtypeAttributeDeletion::test_dtype_writable_attributes_deletion, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_builtin_t0, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_builtin_t1, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_builtin_t2, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_builtin_t3, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_builtin_t4, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_DType11, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_bool__10, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_complex128_4, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_complex64_3, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_float16_0, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_float32_1, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_float64_2, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_int16_7, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_int32_8, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_int64_9, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_int8_6, test/torch_np/numpy_tests/core/test_dtype.py::TestPickling::test_pickle_types_uint8_5, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_other_value_based_complex64_complex64_None, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_other_value_based_float16_complex64_None, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_other_value_based_float32_complex64_None, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_other_value_based_other_4294967295_expected1_expected_weak1, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_other_value_based_other_65535_expected0_expected_weak0, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other0_expected0, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other1_expected1, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other2_expected2, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other3_expected3, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other4_expected4, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other5_expected5, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_complex_scalar_value_based_other6_expected6, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes0_expected0, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes1_expected1, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes2_expected2, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes3_expected3, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes4_expected4, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes5_expected5, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes6_expected6, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes7_expected7, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes8_expected8, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_permutations_do_not_influence_result_dtypes9_expected9, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_python_integer_promotion_val_18446744073709551616, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_python_integer_promotion_val_2, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_python_integer_promotion_val_200, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_python_integer_promotion_val_4294967296, test/torch_np/numpy_tests/core/test_dtype.py::TestPromotion::test_python_integer_promotion_val_9223372036854775808, test/torch_np/numpy_tests/core/test_dtype.py::TestMisc::test_dtypes_are_true, test/torch_np/numpy_tests/core/test_dtype.py::TestMisc::test_keyword_argument, test/torch_np/numpy_tests/core/test_dtype.py::TestFromDTypeAttribute::test_recursion, test/torch_np/numpy_tests/core/test_dtype.py::TestFromDTypeAttribute::test_simple, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_?, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_B, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_D, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_F, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_b, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_d, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_e, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_f, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_h, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_i, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_dtype_subclass_code_l, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_subscript_scalar, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_subscript_tuple_arg_len_0, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_subscript_tuple_arg_len_1, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_subscript_tuple_arg_len_2, test/torch_np/numpy_tests/core/test_dtype.py::TestClassGetItem::test_subscript_tuple_arg_len_3 2025-07-17T09:08:25.6531828Z 2025-07-17T09:08:28.8786162Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:08:28.8789099Z import pkg_resources 2025-07-17T09:08:29.0072224Z Running inductor/test_compile 1/1 ... [2025-07-17 09:08:29.006786] 2025-07-17T09:08:29.0072849Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:08:29.0074718Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'inductor/test_compile.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:08:29.007181] 2025-07-17T09:08:31.6280836Z 2025-07-17T09:08:31.6282531Z torch_np/numpy_tests/core/test_scalarmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarmath_1.1_fc4f004d338cb84b_.log 2025-07-17T09:08:31.6384799Z Running 186 items in this shard: test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_leak, test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_type_add, test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_type_create, test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_types, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBaseMath::test_blocked, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBaseMath::test_lower_align, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_integers_to_negative_integer_power, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_large_types, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_mixed_types, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_modular_power, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_small_types, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_float_modulus_corner_cases_dt_d, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_float_modulus_corner_cases_dt_e, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_float_modulus_corner_cases_dt_f, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_float_modulus_exact, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_float_modulus_roundoff, test/torch_np/numpy_tests/core/test_scalarmath.py::TestModulus::test_modulus_basic, test/torch_np/numpy_tests/core/test_scalarmath.py::TestComplexDivision::test_branches, test/torch_np/numpy_tests/core/test_scalarmath.py::TestComplexDivision::test_signed_zeros, test/torch_np/numpy_tests/core/test_scalarmath.py::TestComplexDivision::test_zero_division, test/torch_np/numpy_tests/core/test_scalarmath.py::TestConversion::test_iinfo_long_values_1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestConversion::test_iinfo_long_values_2, test/torch_np/numpy_tests/core/test_scalarmath.py::TestConversion::test_int_from_long, test/torch_np/numpy_tests/core/test_scalarmath.py::TestConversion::test_int_raise_behaviour, test/torch_np/numpy_tests/core/test_scalarmath.py::TestConversion::test_numpy_scalar_relational_operators, test/torch_np/numpy_tests/core/test_scalarmath.py::TestConversion::test_numpy_scalar_relational_operators_2, test/torch_np/numpy_tests/core/test_scalarmath.py::TestConversion::test_scalar_comparison_to_none, test/torch_np/numpy_tests/core/test_scalarmath.py::TestRepr::test_float_repr, test/torch_np/numpy_tests/core/test_scalarmath.py::TestMultiply::test_no_seq_repeat_basic_array_like, 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test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_list_args_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_with_sizes_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_square_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_multiple_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_multiple_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stack_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stack_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_unbiased_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stft_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stft_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sub_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_lowrank_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_t_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_t_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tan_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tanh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensor_split_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensordot_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensordot_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tile_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tile_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_topk_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trace_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trace_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_transpose_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapz_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapz_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triangular_solve_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triu_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triu_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_true_divide_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trunc_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unbind_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unbind_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_uniform_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_uniform_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unique_consecutive_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unique_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsqueeze_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsqueeze_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_unbiased_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_unbiased_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_unbiased_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_unbiased_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_real_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vsplit_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vstack_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_xlogy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zero__cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_float64 2025-07-17T09:08:33.3356048Z 2025-07-17T09:08:34.9929966Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:08:34.9932852Z import pkg_resources 2025-07-17T09:08:35.1248634Z Running functorch/test_vmap_registrations 1/1 ... [2025-07-17 09:08:35.124441] 2025-07-17T09:08:35.1249580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:08:35.1252184Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'functorch/test_vmap_registrations.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:08:35.124861] 2025-07-17T09:08:36.3993437Z 2025-07-17T09:08:36.3994867Z inductor/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_1.1_018a97e7035f6ac0_.log 2025-07-17T09:08:36.3996219Z 2025-07-17T09:08:36.4836843Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:08:36.4839200Z import pkg_resources 2025-07-17T09:08:36.6124923Z Running torch_np/numpy_tests/core/test_shape_base 1/1 ... [2025-07-17 09:08:36.612067] 2025-07-17T09:08:36.6125602Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:08:36.6127033Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_shape_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:08:36.612433] 2025-07-17T09:08:39.6530690Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:08:39.6532243Z import pkg_resources 2025-07-17T09:08:39.7864922Z Running nn/test_packed_sequence 1/1 ... [2025-07-17 09:08:39.786119] 2025-07-17T09:08:39.7865470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:08:39.7868100Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_packed_sequence.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:08:39.786524] 2025-07-17T09:08:40.6836542Z 2025-07-17T09:08:40.6838301Z torch_np/numpy_tests/core/test_shape_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_shape_base_1.1_c6d2e0681c5e61ce_.log 2025-07-17T09:08:40.6921234Z Running 119 items in this shard: test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast1d::test_r1array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast2d::test_r2array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestAtleast3d::test_3D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_casting_and_dtype, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_casting_and_dtype_type_error, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_empty_input, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_generator, test/torch_np/numpy_tests/core/test_shape_base.py::TestHstack::test_non_iterable, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_0D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_1D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_2D_array, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_2D_array2, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_casting_and_dtype, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_casting_and_dtype_type_error, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_empty_input, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_generator, test/torch_np/numpy_tests/core/test_shape_base.py::TestVstack::test_non_iterable, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_bad_out_shape, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_concatenate, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_concatenate_axis_None, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_exceptions, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_large_concatenate_axis_None, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_operator_concat, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f4_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_f8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_axis_0_out_dtype_i8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_out_and_dtype_simple, test/torch_np/numpy_tests/core/test_shape_base.py::TestConcatenate::test_returns_copy, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_same_kind, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_c8_casting_unsafe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_equiv, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_no, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_safe, test/torch_np/numpy_tests/core/test_shape_base.py::TestStackMisc::test_stack_out_and_dtype_axis_0_out_dtype_f4_casting_same_kind, 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test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::result_type.Scalar_Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::result_type.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::retain_grad], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::retains_grad], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rms_norm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_relu.data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_relu.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_relu_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_tanh.data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_tanh.input], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rnn_tanh_cell], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::row_stack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rrelu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::rrelu_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::scaled_dot_product_attention], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::selu], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::selu_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::set_.source_Tensor_storage_offset], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::set_data], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::silu_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::size.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::slogdet], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::slow_conv3d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::smm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::softmax.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_digamma], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_erf], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_erfc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_erfinv], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_exp2], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_expit], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_expm1], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_gammainc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_gammaincc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_gammaln], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_i0], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_log1p], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_log_softmax], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_logit], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_logsumexp], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_multigammaln], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_ndtr], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_polygamma], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_psi], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_round], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_sinc], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_softmax], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_xlogy.other_scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_xlogy.self_scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::special_xlogy], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::split.sizes], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::square], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::square_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sspaddmm], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::std_mean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::stft.center], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::stft], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::stride.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::subtract_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sum_to_size], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::svd.U], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::svd], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapaxes], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapaxes_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapdims], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::swapdims_], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_numel], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_size.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_storage_offset], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::sym_stride.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::take_along_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensor_split.indices], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensor_split.sections], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensor_split.tensor_indices_or_sections], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tensordot], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::thnn_conv2d], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::tile], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.device], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.dtype], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.dtype_layout], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to.other], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to_dense], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to_dense_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::to_mkldnn_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trace_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapezoid.dx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapezoid.x], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapz.dx], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::trapz.x], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::triplet_margin_loss], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide_.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::true_divide_.Tensor], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::type_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::unflatten.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::unflatten_dense_tensors], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::unsafe_chunk], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_bicubic2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_bilinear2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_linear1d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_nearest1d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_nearest2d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_nearest3d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::upsample_trilinear3d.vec], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::value_selecting_reduction_backward], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vander], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean.correction_names], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean.dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean.names_dim], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::var_mean], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::view_as], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vsplit.array], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vsplit.int], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::vstack], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where.ScalarOther], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where.ScalarSelf], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where.Scalar], test/functorch/test_vmap_registrations.py::TestFunctorchDispatcher::test_unimplemented_batched_registrations_[aten::where] 2025-07-17T09:08:43.6740422Z 2025-07-17T09:08:43.6740433Z 2025-07-17T09:08:43.6741291Z nn/test_packed_sequence 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_packed_sequence_1.1_4edd6291f1dcb400_.log 2025-07-17T09:08:43.6745959Z Running 12 items in this shard: test/nn/test_packed_sequence.py::PackedSequenceTest::test_pack_padded_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pack_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pad_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pad_sequence_with_non_iterable_sequences, test/nn/test_packed_sequence.py::PackedSequenceTest::test_pad_sequence_with_tensor_sequences, test/nn/test_packed_sequence.py::PackedSequenceTest::test_to, test/nn/test_packed_sequence.py::PackedSequenceTest::test_to_memory_format, test/nn/test_packed_sequence.py::PackedSequenceTest::test_total_length, test/nn/test_packed_sequence.py::PackedSequenceTest::test_type_casts, test/nn/test_packed_sequence.py::PackedSequenceTest::test_unpack_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_unpad_sequence, test/nn/test_packed_sequence.py::PackedSequenceTest::test_wrong_order 2025-07-17T09:08:43.6750059Z 2025-07-17T09:08:44.0847375Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:08:44.0849023Z import pkg_resources 2025-07-17T09:08:44.2178022Z Running test_futures 1/1 ... [2025-07-17 09:08:44.217401] 2025-07-17T09:08:44.2178465Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:08:44.2181294Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_futures.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:08:44.217823] 2025-07-17T09:08:46.7766336Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:08:46.7768844Z import pkg_resources 2025-07-17T09:08:46.9064648Z Running export/test_sparse 1/1 ... [2025-07-17 09:08:46.906037] 2025-07-17T09:08:46.9065496Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:08:46.9067675Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_sparse.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:08:46.906432] 2025-07-17T09:08:47.0233961Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:08:47.0236805Z import pkg_resources 2025-07-17T09:08:47.1544900Z Running optim/test_optim 1/1 ... [2025-07-17 09:08:47.154106] 2025-07-17T09:08:47.1545536Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:08:47.1549163Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'optim/test_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:08:47.154577] 2025-07-17T09:08:48.4901691Z 2025-07-17T09:08:48.4903010Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_f6cd530c89e325cd_.log 2025-07-17T09:08:48.4912231Z Running 22 items in this shard: test/test_futures.py::TestFuture::test_add_done_callback_error_is_ignored, test/test_futures.py::TestFuture::test_add_done_callback_maintains_callback_order, test/test_futures.py::TestFuture::test_add_done_callback_no_arg_error_is_ignored, test/test_futures.py::TestFuture::test_add_done_callback_simple, test/test_futures.py::TestFuture::test_chained_then, test/test_futures.py::TestFuture::test_collect_all, test/test_futures.py::TestFuture::test_done, test/test_futures.py::TestFuture::test_done_exception, test/test_futures.py::TestFuture::test_interleaving_then_and_add_done_callback_maintains_callback_order, test/test_futures.py::TestFuture::test_interleaving_then_and_add_done_callback_propagates_error, test/test_futures.py::TestFuture::test_mark_future_twice, test/test_futures.py::TestFuture::test_pickle_future, test/test_futures.py::TestFuture::test_set_exception, test/test_futures.py::TestFuture::test_set_exception_multithreading, test/test_futures.py::TestFuture::test_then, test/test_futures.py::TestFuture::test_then_no_arg, test/test_futures.py::TestFuture::test_then_raise, test/test_futures.py::TestFuture::test_then_wrong_arg, test/test_futures.py::TestFuture::test_wait, test/test_futures.py::TestFuture::test_wait_all, test/test_futures.py::TestFuture::test_wait_multi_thread, test/test_futures.py::TestFuture::test_wait_none 2025-07-17T09:08:48.4918175Z 2025-07-17T09:08:50.6078571Z 2025-07-17T09:08:50.6079756Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_17967ed328a92224_.log 2025-07-17T09:08:50.6080766Z 2025-07-17T09:08:50.6773988Z 2025-07-17T09:08:50.6775278Z export/test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.1_1d7a0d7564e32b29_.log 2025-07-17T09:08:50.6850688Z Running 203 items in this shard: test/export/test_sparse.py::TestSparseProp::test_activation_coo, test/export/test_sparse.py::TestSparseProp::test_activation_csr, test/export/test_sparse.py::TestSparseProp::test_add, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseCSR 2025-07-17T09:08:50.6922633Z 2025-07-17T09:08:51.8199001Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:08:51.8201773Z import pkg_resources 2025-07-17T09:08:52.0220539Z Running export/test_verifier 1/1 ... [2025-07-17 09:08:52.021607] 2025-07-17T09:08:52.0221335Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:08:52.0223455Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_verifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:08:52.022003] 2025-07-17T09:08:54.0327676Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:08:54.0330417Z import pkg_resources 2025-07-17T09:08:54.0439941Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:08:54.0442770Z import pkg_resources 2025-07-17T09:08:54.1642037Z Running torch_np/numpy_tests/fft/test_pocketfft 1/1 ... [2025-07-17 09:08:54.163773] 2025-07-17T09:08:54.1643362Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:08:54.1645685Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_pocketfft.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:08:54.164195] 2025-07-17T09:08:54.1756504Z Running test_serialization 1/1 ... [2025-07-17 09:08:54.175289] 2025-07-17T09:08:54.1757193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:08:54.1761029Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_serialization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:08:54.175728] 2025-07-17T09:09:02.2932992Z 2025-07-17T09:09:02.2934601Z torch_np/numpy_tests/fft/test_pocketfft 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_pocketfft_1.1_515069aeff50f8ac_.log 2025-07-17T09:09:02.2966266Z Running 79 items in this shard: test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFTShift::test_fft_n, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_all_1d_norm_preserving, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_axes_op0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_axes_op1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_axes_op2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_axes_op3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_dtypes_dtype0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_dtypes_dtype1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_dtypes_dtype2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_F_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype0_order_non-contiguous_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_F_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype1_order_non-contiguous_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_F_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype2_order_non-contiguous_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_F_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft1, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft3, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft4, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fft_with_order_dtype3_order_non-contiguous_fft5, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_fftn, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_hfft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_identity, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifft_norm0, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifft_norm_backward, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifft_norm_forward, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifft_norm_ortho, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ifftn, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_ihfft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_irfft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_irfft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_irfftn, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_rfft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_rfft2, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFT1D::test_rfftn, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFTThreadSafe::test_fft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFTThreadSafe::test_ifft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFTThreadSafe::test_irfft, test/torch_np/numpy_tests/fft/test_pocketfft.py::TestFFTThreadSafe::test_rfft 2025-07-17T09:09:02.2997209Z 2025-07-17T09:09:03.7557404Z 2025-07-17T09:09:03.7559260Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_3db3ede8da0a9f6e_.log 2025-07-17T09:09:03.7563782Z Running 10 items in this shard: test/export/test_verifier.py::TestVerifier::test_ep_verifier_basic, test/export/test_verifier.py::TestVerifier::test_ep_verifier_buffer_mutate, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_buffer, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_output, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_param, test/export/test_verifier.py::TestVerifier::test_verifier_basic, test/export/test_verifier.py::TestVerifier::test_verifier_call_module, test/export/test_verifier.py::TestVerifier::test_verifier_higher_order, test/export/test_verifier.py::TestVerifier::test_verifier_nested_invalid_module, test/export/test_verifier.py::TestVerifier::test_verifier_no_functional 2025-07-17T09:09:03.7567269Z 2025-07-17T09:09:05.7533172Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:09:05.7536095Z import pkg_resources 2025-07-17T09:09:05.8857607Z Running test_functional_optim 1/1 ... [2025-07-17 09:09:05.885336] 2025-07-17T09:09:05.8858453Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:09:05.8861145Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functional_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:09:05.885756] 2025-07-17T09:09:07.1853988Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:09:07.1855555Z import pkg_resources 2025-07-17T09:09:07.3150781Z Running nn/test_embedding 1/1 ... [2025-07-17 09:09:07.314681] 2025-07-17T09:09:07.3151291Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:09:07.3154070Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_embedding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:09:07.315065] 2025-07-17T09:09:09.7076864Z 2025-07-17T09:09:09.7078040Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_49de086f6b86bd78_.log 2025-07-17T09:09:09.7081209Z Running 4 items in this shard: test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_parity_adam, test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_parity_adam_w, test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_parity_sgd, test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_registration 2025-07-17T09:09:09.7083017Z 2025-07-17T09:09:13.3823881Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:09:13.3826783Z import pkg_resources 2025-07-17T09:09:13.5150042Z Running nn/test_dropout 1/1 ... [2025-07-17 09:09:13.514576] 2025-07-17T09:09:13.5150791Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:09:13.5153659Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_dropout.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:09:13.514989] 2025-07-17T09:09:17.8367252Z 2025-07-17T09:09:17.8368589Z nn/test_dropout 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_dropout_1.1_9501ff9d8be4c8ec_.log 2025-07-17T09:09:17.8374563Z Running 9 items in this shard: test/nn/test_dropout.py::TestDropoutNN::test_AlphaDropout, test/nn/test_dropout.py::TestDropoutNN::test_FeatureAlphaDropout, test/nn/test_dropout.py::TestDropoutNN::test_invalid_dropout_p, test/nn/test_dropout.py::TestDropoutNN::test_native_dropout_corner_case, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout1d_cpu_float64, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout2d_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout3d_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_empty_dropout_cpu 2025-07-17T09:09:17.8379516Z 2025-07-17T09:09:19.9252950Z 2025-07-17T09:09:19.9254235Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_817a648ba35fa703_.log 2025-07-17T09:09:19.9407648Z Running 165 items in this shard: test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_from_pretrained, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_from_pretrained_padding_idx, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_functional, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_padding_idx_error, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_float32, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_float64, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int16, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int32, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int64, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int8, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_options, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_padding_idx, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_uint8, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_functional, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_max_norm, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_max_norm_unsorted_repeating_indices, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_sparse_basic, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_sparse_empty_tensor, test/nn/test_embedding.py::TestEmbeddingNN::test_embeddingbag_from_pretrained, test/nn/test_embedding.py::TestEmbeddingNN::test_embeddingbag_from_pretrained_options, test/nn/test_embedding.py::TestEmbeddingNN::test_embeddingbag_include_last_offset, test/nn/test_embedding.py::TestEmbeddingNN::test_large_tensors, test/nn/test_embedding.py::TestEmbeddingNN::test_move_sparse_half_embedding, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_backward_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_1D_padding_idx_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_1D_padding_idx_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_2D_padding_idx_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_2D_padding_idx_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_dimension_errors_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_bfloat16, 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test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_False_per_sample_weights_use_grad_False_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_False_per_sample_weights_use_grad_True_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_True_per_sample_weights_use_grad_False_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_True_per_sample_weights_use_grad_True_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_dense_grad_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_backward_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_device_cpu_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_device_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_device_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_fwd_AD_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_padding_idx_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_scalar_weight_error_cpu 2025-07-17T09:09:19.9583836Z 2025-07-17T09:09:21.5923955Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:09:21.5926780Z import pkg_resources 2025-07-17T09:09:21.7228980Z Running test_dynamic_shapes 1/1 ... [2025-07-17 09:09:21.722471] 2025-07-17T09:09:21.7229750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:09:21.7232207Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:09:21.722866] 2025-07-17T09:09:23.3194238Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:09:23.3197096Z import pkg_resources 2025-07-17T09:09:23.4504679Z Running torch_np/numpy_tests/fft/test_helper 1/1 ... [2025-07-17 09:09:23.450014] 2025-07-17T09:09:23.4505528Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:09:23.4507521Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/fft/test_helper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:09:23.450399] 2025-07-17T09:09:27.0959061Z 2025-07-17T09:09:27.0960322Z test_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_serialization_1.1_a5a7f2ecf00355fe_.log 2025-07-17T09:09:27.1042028Z Running 201 items in this shard: test/test_serialization.py::TestOldSerialization::test_debug_set_in_ci, test/test_serialization.py::TestOldSerialization::test_load_error_msg, test/test_serialization.py::TestOldSerialization::test_load_nonexistent_device, test/test_serialization.py::TestOldSerialization::test_load_python2_unicode_module, test/test_serialization.py::TestOldSerialization::test_load_unicode_error_msg, test/test_serialization.py::TestOldSerialization::test_pickle_module, test/test_serialization.py::TestOldSerialization::test_safe_load_basic_types, test/test_serialization.py::TestOldSerialization::test_save_different_dtype_error, test/test_serialization.py::TestOldSerialization::test_save_different_dtype_unallocated, test/test_serialization.py::TestOldSerialization::test_serialization, test/test_serialization.py::TestOldSerialization::test_serialization_backwards_compat, test/test_serialization.py::TestOldSerialization::test_serialization_backwards_compat_safe, test/test_serialization.py::TestOldSerialization::test_serialization_container, test/test_serialization.py::TestOldSerialization::test_serialization_container_filelike, test/test_serialization.py::TestOldSerialization::test_serialization_dill, test/test_serialization.py::TestOldSerialization::test_serialization_dill_version_not_supported, test/test_serialization.py::TestOldSerialization::test_serialization_fake_zip, test/test_serialization.py::TestOldSerialization::test_serialization_filelike, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_api_requirements, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_exceptions, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_missing_attrs, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_stress, test/test_serialization.py::TestOldSerialization::test_serialization_filelike_uses_readinto, test/test_serialization.py::TestOldSerialization::test_serialization_gzip, test/test_serialization.py::TestOldSerialization::test_serialization_map_location, test/test_serialization.py::TestOldSerialization::test_serialization_offset, test/test_serialization.py::TestOldSerialization::test_serialization_offset_filelike_weights_only_False, test/test_serialization.py::TestOldSerialization::test_serialization_offset_filelike_weights_only_True, test/test_serialization.py::TestOldSerialization::test_serialization_offset_gzip, test/test_serialization.py::TestOldSerialization::test_serialization_safe, test/test_serialization.py::TestOldSerialization::test_serialization_save_warnings, test/test_serialization.py::TestOldSerialization::test_serialization_sparse, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_bsc_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_bsr_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_csc_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_csr_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_invalid, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_invalid_legacy_ctor, test/test_serialization.py::TestOldSerialization::test_serialization_sparse_safe, test/test_serialization.py::TestOldSerialization::test_serialization_storage_slice, test/test_serialization.py::TestOldSerialization::test_serialization_zipfile_utils, test/test_serialization.py::TestOldSerialization::test_serialize_device, test/test_serialization.py::TestOldSerialization::test_skip_data_load, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_False_filename_False, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_False_filename_True, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_True_filename_False, test/test_serialization.py::TestSerialization::test_crc32_options_compute_crc32_True_filename_True, test/test_serialization.py::TestSerialization::test_debug_set_in_ci, test/test_serialization.py::TestSerialization::test_filewriter_metadata_writing_filename_False, test/test_serialization.py::TestSerialization::test_filewriter_metadata_writing_filename_True, test/test_serialization.py::TestSerialization::test_get_unsafe_globals_in_checkpoint, test/test_serialization.py::TestSerialization::test_has_format_version, test/test_serialization.py::TestSerialization::test_load_error_msg, test/test_serialization.py::TestSerialization::test_load_njt_weights_only_should_import_False, test/test_serialization.py::TestSerialization::test_load_njt_weights_only_should_import_True, test/test_serialization.py::TestSerialization::test_load_nonexistent_device, test/test_serialization.py::TestSerialization::test_load_python2_unicode_module, test/test_serialization.py::TestSerialization::test_load_unicode_error_msg, test/test_serialization.py::TestSerialization::test_lr_scheduler_serialization, test/test_serialization.py::TestSerialization::test_meta_serialization_weights_only_False, test/test_serialization.py::TestSerialization::test_meta_serialization_weights_only_True, test/test_serialization.py::TestSerialization::test_mmap_load_offset_calculation_path_type0, test/test_serialization.py::TestSerialization::test_mmap_load_offset_calculation_path_type1, test/test_serialization.py::TestSerialization::test_pathlike_serialization_weights_only_False, test/test_serialization.py::TestSerialization::test_pathlike_serialization_weights_only_True, test/test_serialization.py::TestSerialization::test_pickle_module, test/test_serialization.py::TestSerialization::test_safe_load_basic_types, test/test_serialization.py::TestSerialization::test_save_different_dtype_error, test/test_serialization.py::TestSerialization::test_save_different_dtype_unallocated, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_bfloat16_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_bfloat16_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_bool_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_bool_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex128_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex128_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex64_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_complex64_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float16_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float16_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float32_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float32_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float64_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_float64_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int16_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int16_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int32_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int32_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int64_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int64_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int8_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_int8_weights_only_True, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_uint8_weights_only_False, test/test_serialization.py::TestSerialization::test_save_load_preserves_dtype_uint8_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization, test/test_serialization.py::TestSerialization::test_serialization_backwards_compat, test/test_serialization.py::TestSerialization::test_serialization_backwards_compat_safe, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals0_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals0_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals1_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_byte_literal_byte_literals1_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_byteorder_mark, test/test_serialization.py::TestSerialization::test_serialization_dill, test/test_serialization.py::TestSerialization::test_serialization_dill_version_not_supported, test/test_serialization.py::TestSerialization::test_serialization_dtype_complex32_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_complex32_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e4m3fn_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e4m3fn_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e5m2_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_float8_e5m2_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint16_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint16_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint32_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint32_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint64_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_dtype_uint64_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_efficient_zerotensor_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_efficient_zerotensor_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_fake_zip, test/test_serialization.py::TestSerialization::test_serialization_filelike, test/test_serialization.py::TestSerialization::test_serialization_filelike_api_requirements, test/test_serialization.py::TestSerialization::test_serialization_filelike_exceptions, test/test_serialization.py::TestSerialization::test_serialization_filelike_missing_attrs, test/test_serialization.py::TestSerialization::test_serialization_filelike_stress, test/test_serialization.py::TestSerialization::test_serialization_filelike_uses_readinto, test/test_serialization.py::TestSerialization::test_serialization_gzip, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_bfloat16, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_bool, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_cdouble, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_cfloat, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_double, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_float, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_half, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_int, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_int16, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_int8, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_long, test/test_serialization.py::TestSerialization::test_serialization_load_bom_data_uint8, test/test_serialization.py::TestSerialization::test_serialization_map_location, test/test_serialization.py::TestSerialization::test_serialization_math_bits_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_math_bits_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_ctx, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type0_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type0_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type1_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_options_path_type1_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_mmap_loading_with_map_location, test/test_serialization.py::TestSerialization::test_serialization_nested_class, test/test_serialization.py::TestSerialization::test_serialization_offset_gzip, test/test_serialization.py::TestSerialization::test_serialization_python_attr_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_python_attr_weights_only_True, test/test_serialization.py::TestSerialization::test_serialization_safe, test/test_serialization.py::TestSerialization::test_serialization_save_warnings, test/test_serialization.py::TestSerialization::test_serialization_sparse, test/test_serialization.py::TestSerialization::test_serialization_sparse_bsc_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_bsr_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_csc_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_csr_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_invalid, test/test_serialization.py::TestSerialization::test_serialization_sparse_invalid_legacy_ctor, test/test_serialization.py::TestSerialization::test_serialization_sparse_safe, test/test_serialization.py::TestSerialization::test_serialization_storage_slice, test/test_serialization.py::TestSerialization::test_serialization_uintx_intx, test/test_serialization.py::TestSerialization::test_serialization_warning_s390x, test/test_serialization.py::TestSerialization::test_serialization_with_header, test/test_serialization.py::TestSerialization::test_serialization_zipfile_actually_jit, test/test_serialization.py::TestSerialization::test_serialization_zipfile_utils, test/test_serialization.py::TestSerialization::test_serialization_zipfile_weights_only_False, test/test_serialization.py::TestSerialization::test_serialization_zipfile_weights_only_True, test/test_serialization.py::TestSerialization::test_serialize_device, test/test_serialization.py::TestSerialization::test_skip_data_load, test/test_serialization.py::TestSerialization::test_skip_data_serialization_error_cases, test/test_serialization.py::TestSerialization::test_skip_data_serialization_materialize_fake_False, test/test_serialization.py::TestSerialization::test_skip_data_serialization_materialize_fake_True, test/test_serialization.py::TestSerialization::test_skip_data_serialization_preserves_views_materialize_fake_False, test/test_serialization.py::TestSerialization::test_skip_data_serialization_preserves_views_materialize_fake_True, test/test_serialization.py::TestSerialization::test_storage_alignment, test/test_serialization.py::TestSerialization::test_use_pinned_memory_for_d2h, test/test_serialization.py::TestSerialization::test_weights_only_assert, test/test_serialization.py::TestSerialization::test_weights_only_env_variables_force_weights_only_False, test/test_serialization.py::TestSerialization::test_weights_only_env_variables_force_weights_only_True, test/test_serialization.py::TestSerialization::test_weights_only_error_unsafe_global_False, test/test_serialization.py::TestSerialization::test_weights_only_error_unsafe_global_True, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_blocklist, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_build, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_build_with_slots_slots_all, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_build_with_slots_slots_some, test/test_serialization.py::TestSerialization::test_weights_only_safe_globals_newobj, test/test_serialization.py::TestSubclassSerialization::test_cloned_deepcopy_requires_grad_False, test/test_serialization.py::TestSubclassSerialization::test_cloned_deepcopy_requires_grad_True, test/test_serialization.py::TestSubclassSerialization::test_empty_class_serialization, test/test_serialization.py::TestSubclassSerialization::test_safe_globals_context_manager_weights_only, test/test_serialization.py::TestSubclassSerialization::test_safe_globals_for_weights_only, test/test_serialization.py::TestSubclassSerialization::test_sets_are_loadable_with_weights_only, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_deepcopy, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_getstate_overwrite, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_map_location, test/test_serialization.py::TestSubclassSerialization::test_tensor_subclass_wrapper_serialization, test/test_serialization.py::TestBothSerializationCPU::test_serialization_new_format_old_format_compat_weights_only_False_cpu, test/test_serialization.py::TestBothSerializationCPU::test_serialization_new_format_old_format_compat_weights_only_True_cpu 2025-07-17T09:09:27.1121067Z 2025-07-17T09:09:30.3573784Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:09:30.3575351Z import pkg_resources 2025-07-17T09:09:30.4852821Z Running torch_np/test_ndarray_methods 1/1 ... [2025-07-17 09:09:30.484905] 2025-07-17T09:09:30.4853343Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:09:30.4855749Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_ndarray_methods.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:09:30.485294] 2025-07-17T09:09:32.2801219Z 2025-07-17T09:09:32.2802838Z torch_np/numpy_tests/fft/test_helper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.fft.test_helper_1.1_86d516fe1f47851b_.log 2025-07-17T09:09:32.2809362Z Running 8 items in this shard: test/torch_np/numpy_tests/fft/test_helper.py::TestFFTShift::test_axes_keyword, test/torch_np/numpy_tests/fft/test_helper.py::TestFFTShift::test_definition, test/torch_np/numpy_tests/fft/test_helper.py::TestFFTShift::test_equal_to_original, test/torch_np/numpy_tests/fft/test_helper.py::TestFFTShift::test_inverse, test/torch_np/numpy_tests/fft/test_helper.py::TestFFTShift::test_uneven_dims, test/torch_np/numpy_tests/fft/test_helper.py::TestFFTFreq::test_definition, test/torch_np/numpy_tests/fft/test_helper.py::TestRFFTFreq::test_definition, test/torch_np/numpy_tests/fft/test_helper.py::TestIRFFTN::test_not_last_axis_success 2025-07-17T09:09:32.2814650Z 2025-07-17T09:09:33.9098385Z Uploading artifacts took 1.63 seconds 2025-07-17T09:09:35.6227467Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:09:35.6229199Z import pkg_resources 2025-07-17T09:09:35.7540539Z Running torch_np/numpy_tests/lib/test_twodim_base 1/1 ... [2025-07-17 09:09:35.753607] 2025-07-17T09:09:35.7541535Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:09:35.7543839Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_twodim_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:09:35.753992] 2025-07-17T09:09:37.9654623Z 2025-07-17T09:09:37.9655932Z torch_np/test_ndarray_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ndarray_methods_1.1_1791ce9c53c9149b_.log 2025-07-17T09:09:37.9800910Z Running 342 items in this shard: test/torch_np/test_ndarray_methods.py::TestIndexing::test_indexing_simple, test/torch_np/test_ndarray_methods.py::TestIndexing::test_setitem, test/torch_np/test_ndarray_methods.py::TestReshape::test_reshape_function, test/torch_np/test_ndarray_methods.py::TestReshape::test_reshape_method, test/torch_np/test_ndarray_methods.py::TestTranspose::test_transpose_function, test/torch_np/test_ndarray_methods.py::TestTranspose::test_transpose_method, test/torch_np/test_ndarray_methods.py::TestRavel::test_ravel_function, test/torch_np/test_ndarray_methods.py::TestRavel::test_ravel_method, test/torch_np/test_ndarray_methods.py::TestNonzero::test_array_method, test/torch_np/test_ndarray_methods.py::TestNonzero::test_nonzero_onedim, test/torch_np/test_ndarray_methods.py::TestNonzero::test_nonzero_trivial, test/torch_np/test_ndarray_methods.py::TestNonzero::test_nonzero_twodim, test/torch_np/test_ndarray_methods.py::TestNonzero::test_sparse, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_all_method_max, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_all_method_min, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size0_axis0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size0_axis0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size10_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size10_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size11_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size11_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size12_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size12_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size13_axis13_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size13_axis13_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size14_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size14_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size15_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size15_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size16_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size16_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size17_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size17_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size18_axis18_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size18_axis18_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size19_axis_-3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size19_axis_-3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size1_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size1_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size20_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size20_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size21_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size21_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size22_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size22_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size23_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size23_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size24_axis_2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size24_axis_2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size25_axis25_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size25_axis25_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size26_axis_-3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size26_axis_-3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size27_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size27_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size28_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size28_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size29_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size29_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size2_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size2_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size30_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size30_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size31_axis_2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size31_axis_2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size32_axis32_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size32_axis32_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size33_axis_-4_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size33_axis_-4_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size34_axis_-3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size34_axis_-3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size35_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size35_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size36_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size36_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size37_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size37_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size38_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size38_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size39_axis_2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size39_axis_2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size3_axis3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size3_axis3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size40_axis_3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size40_axis_3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size41_axis41_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size41_axis41_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size42_axis_-4_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size42_axis_-4_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size43_axis_-3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size43_axis_-3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size44_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size44_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size45_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size45_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size46_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size46_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size47_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size47_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size48_axis_2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size48_axis_2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size49_axis_3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size49_axis_3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size4_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size4_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size50_axis50_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size50_axis50_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size51_axis_-4_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size51_axis_-4_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size52_axis_-3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size52_axis_-3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size53_axis_-2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size53_axis_-2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size54_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size54_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size55_axis_0_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size55_axis_0_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size56_axis_1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size56_axis_1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size57_axis_2_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size57_axis_2_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size58_axis_3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size58_axis_3_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size59_axis59_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size59_axis59_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size5_axis_-1_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size5_axis_-1_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size60_axis_-4_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size60_axis_-4_method1, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size61_axis_-3_method0, test/torch_np/test_ndarray_methods.py::TestArgmaxArgminCommon::test_np_argmin_argmax_keepdims_size61_axis_-3_method1, 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test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_bool, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_diag, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_diag2d, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_eye_bounds, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestEye::test_order, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_diag_bounds, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_failure, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_fortran_order, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_matrix, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestDiag::test_vector, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestFliplr::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestFlipud::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_all_outliers, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_asym, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_bad_length_x_len_10_y_len_11, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_bad_length_x_len_20_y_len_19, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_binparameter_combination, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_density, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_empty, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestHistogram2d::test_simple, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_dtype, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_mask_indices, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_indices, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_dtype, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_ndim2, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_ndim3, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTri::test_tril_triu_with_inf, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTriuIndices::test_triu_indices, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTrilIndicesFrom::test_exceptions, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestTriuIndicesFrom::test_exceptions, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestVander::test_basic, test/torch_np/numpy_tests/lib/test_twodim_base.py::TestVander::test_dtypes 2025-07-17T09:09:39.8296173Z 2025-07-17T09:09:41.4221166Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:09:41.4224123Z import pkg_resources 2025-07-17T09:09:41.5526914Z Running test_vulkan 1/1 ... [2025-07-17 09:09:41.552286] 2025-07-17T09:09:41.5527590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:09:41.5530689Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_vulkan.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:09:41.552705] 2025-07-17T09:09:43.1464219Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:09:43.1467134Z import pkg_resources 2025-07-17T09:09:43.2757131Z Running torch_np/numpy_tests/lib/test_shape_base_ 1/1 ... [2025-07-17 09:09:43.275378] 2025-07-17T09:09:43.2757883Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:09:43.2760740Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_shape_base_.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:09:43.275762] 2025-07-17T09:09:45.1236188Z 2025-07-17T09:09:45.1237299Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_6b78156056368b1a_.log 2025-07-17T09:09:45.1240209Z Running 1 items in this shard: test/test_vulkan.py::TestVulkanRewritePass::test_conv 2025-07-17T09:09:45.1240823Z 2025-07-17T09:09:47.5978309Z 2025-07-17T09:09:47.5980144Z torch_np/numpy_tests/lib/test_shape_base_ 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_shape_base__1.1_001ebbede10b4819_.log 2025-07-17T09:09:47.6010294Z Running 73 items in this shard: test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_argequivalent, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_broadcast, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_empty, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTakeAlongAxis::test_invalid, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestPutAlongAxis::test_broadcast, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestPutAlongAxis::test_replace_max, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_0d_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_3d, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_axis_insertion, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_axis_insertion_ma, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_empty, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_scalar_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_simple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_simple101, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_tuple_func1d, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyAlongAxis::test_with_iterable_object, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestApplyOverAxes::test_simple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_axis_out_of_range, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_axis_tuple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_functionality, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestExpandDims::test_repeated_axis, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_index_split_high_bound, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_index_split_low_bound, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_index_split_simple, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_0_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_cols, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_default, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_rows, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestArraySplit::test_integer_split_2D_rows_greater_max_int32, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSplit::test_equal_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSplit::test_unequal_split, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_1D_arrays, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_2D_arrays, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_generator, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestColumnStack::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_2D_array2, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_generator, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDstack::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestHsplit::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestVsplit::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_0D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_1D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_2D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_3D_array, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestDsplit::test_non_iterable, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_basic, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_basic_2, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_axis, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_axis_handling, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_contiguous, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestSqueeze::test_squeeze_type, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_basic, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a0_shape_b0, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a1_shape_b1, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a2_shape_b2, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a3_shape_b3, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a4_shape_b4, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestKron::test_kron_shape_shape_a5_shape_b5, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_basic, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_empty, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_kroncompare, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestTile::test_tile_one_repetition_on_array_gh4679, test/torch_np/numpy_tests/lib/test_shape_base_.py::TestMayShareMemory::test_basic 2025-07-17T09:09:47.6036431Z 2025-07-17T09:09:48.5233250Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:09:48.5237039Z import pkg_resources 2025-07-17T09:09:48.6547258Z Running test_mkldnn_fusion 1/1 ... [2025-07-17 09:09:48.654229] 2025-07-17T09:09:48.6548193Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:09:48.6550397Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_mkldnn_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:09:48.654610] 2025-07-17T09:09:50.9057049Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:09:50.9060019Z import pkg_resources 2025-07-17T09:09:51.0370268Z Running dynamo/test_guard_manager 1/1 ... [2025-07-17 09:09:51.036581] 2025-07-17T09:09:51.0371124Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:09:51.0372813Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:09:51.036989] 2025-07-17T09:09:55.5273749Z 2025-07-17T09:09:55.5275916Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_48230951ec1bfd40_.log 2025-07-17T09:09:55.5278041Z 2025-07-17T09:10:00.3140000Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:10:00.3143117Z import pkg_resources 2025-07-17T09:10:00.5074572Z Running test_shape_ops 1/1 ... [2025-07-17 09:10:00.506430] 2025-07-17T09:10:00.5075405Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:10:00.5077498Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_shape_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:10:00.506914] 2025-07-17T09:10:08.2996315Z 2025-07-17T09:10:08.2997558Z test_shape_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_shape_ops_1.1_0ca3489d48af1aad_.log 2025-07-17T09:10:08.3058891Z Running 97 items in this shard: test/test_shape_ops.py::TestShapeOpsCPU::test_clamp_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_clamp_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_clamp_propagates_nans_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_clamp_raises_arg_errors_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_complex_rot90_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_complex_rot90_cpu_complex64, test/test_shape_ops.py::TestShapeOpsCPU::test_diag_cpu_bool, test/test_shape_ops.py::TestShapeOpsCPU::test_diag_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_diagonal_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_diagonal_multidim_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_bfloat16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_bool, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_complex64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_float16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_int16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_int32, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_int8, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_cpu_uint8, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_bfloat16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_bool, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_complex64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_float16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_int16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_int32, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_int8, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_errors_cpu_uint8, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_large_tensor_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_bfloat16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_bool, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_complex64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_float16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_int16, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_int32, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_int8, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_numpy_cpu_uint8, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_unsupported_dtype_cpu_quint2x4, test/test_shape_ops.py::TestShapeOpsCPU::test_flip_unsupported_dtype_cpu_quint4x2, test/test_shape_ops.py::TestShapeOpsCPU::test_fliplr_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_fliplr_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_fliplr_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_fliplr_invalid_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_fliplr_invalid_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_fliplr_invalid_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_flipud_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_flipud_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_flipud_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_flipud_invalid_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_flipud_invalid_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_flipud_invalid_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_movedim_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_movedim_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_movedim_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_movedim_invalid_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_movedim_invalid_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_movedim_invalid_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_astuple_out_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_bfloat16, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_bool, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_float16, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_int16, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_int32, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_int8, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_cpu_uint8, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_discontiguous_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_no_warning_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_nonzero_non_diff_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_rot90_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_sparse_dense_dim_cpu_complex128, test/test_shape_ops.py::TestShapeOpsCPU::test_sparse_dense_dim_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_sparse_dense_dim_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_tolist_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_trace_cpu_float32, test/test_shape_ops.py::TestShapeOpsCPU::test_trace_cpu_float64, test/test_shape_ops.py::TestShapeOpsCPU::test_trace_cpu_int16, test/test_shape_ops.py::TestShapeOpsCPU::test_trace_cpu_int32, test/test_shape_ops.py::TestShapeOpsCPU::test_trace_cpu_int64, test/test_shape_ops.py::TestShapeOpsCPU::test_trace_cpu_int8, test/test_shape_ops.py::TestShapeOpsCPU::test_trace_cpu_uint8, test/test_shape_ops.py::TestShapeOpsCPU::test_unbind_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_unfold_all_devices_and_dtypes_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_unfold_errors_cpu, test/test_shape_ops.py::TestShapeOpsCPU::test_unfold_scalars_cpu 2025-07-17T09:10:08.3115383Z 2025-07-17T09:10:13.7038263Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:10:13.7042014Z import pkg_resources 2025-07-17T09:10:13.9359609Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-07-17 09:10:13.935398] 2025-07-17T09:10:13.9360771Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:10:13.9364944Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:10:13.935981] 2025-07-17T09:10:18.6103425Z 2025-07-17T09:10:18.6105526Z test_dynamic_shapes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dynamic_shapes_1.1_4e7500cdf371530d_.log 2025-07-17T09:10:18.6354769Z Running 330 items in this shard: test/test_dynamic_shapes.py::TestPySymInt::test_arith_ops, test/test_dynamic_shapes.py::TestPySymInt::test_aten_ops, test/test_dynamic_shapes.py::TestPySymInt::test_avoid_unbacked_substitution, test/test_dynamic_shapes.py::TestPySymInt::test_backed_size_oblivious_01_spec, test/test_dynamic_shapes.py::TestPySymInt::test_baddbmm_symint, test/test_dynamic_shapes.py::TestPySymInt::test_binary, test/test_dynamic_shapes.py::TestPySymInt::test_data_dependent_guard, test/test_dynamic_shapes.py::TestPySymInt::test_data_dependent_guard_propagate_real_tensors, test/test_dynamic_shapes.py::TestPySymInt::test_debug_has_internal_overlap_unbacked, test/test_dynamic_shapes.py::TestPySymInt::test_deepcopy, test/test_dynamic_shapes.py::TestPySymInt::test_duck_shape, test/test_dynamic_shapes.py::TestPySymInt::test_ephemeral_source_simplification, test/test_dynamic_shapes.py::TestPySymInt::test_ephemeral_source_unified_with_non_ephemeral_source, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_basic, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_double_digits, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_prefer_later, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_refine_range, test/test_dynamic_shapes.py::TestPySymInt::test_expect_true_with_s0, test/test_dynamic_shapes.py::TestPySymInt::test_floor_clean_div_axioms, test/test_dynamic_shapes.py::TestPySymInt::test_floordiv_static, test/test_dynamic_shapes.py::TestPySymInt::test_fx_trace_intlist, test/test_dynamic_shapes.py::TestPySymInt::test_guard_int, test/test_dynamic_shapes.py::TestPySymInt::test_guard_refine_range, test/test_dynamic_shapes.py::TestPySymInt::test_int_bool, test/test_dynamic_shapes.py::TestPySymInt::test_int_conversion, test/test_dynamic_shapes.py::TestPySymInt::test_int_to_float, test/test_dynamic_shapes.py::TestPySymInt::test_max_of_unique_summation_opt, test/test_dynamic_shapes.py::TestPySymInt::test_meta_symint, test/test_dynamic_shapes.py::TestPySymInt::test_mul_int_oo_nan, test/test_dynamic_shapes.py::TestPySymInt::test_non_overlapping_and_dense, test/test_dynamic_shapes.py::TestPySymInt::test_non_overlapping_and_dense_unbacked, test/test_dynamic_shapes.py::TestPySymInt::test_numel, test/test_dynamic_shapes.py::TestPySymInt::test_numpy_sym_max, test/test_dynamic_shapes.py::TestPySymInt::test_numpy_sym_min, test/test_dynamic_shapes.py::TestPySymInt::test_prefer_deferred_runtime_assertions_over_guards, test/test_dynamic_shapes.py::TestPySymInt::test_print_readable_with_symints, test/test_dynamic_shapes.py::TestPySymInt::test_reverse_arith_ops, test/test_dynamic_shapes.py::TestPySymInt::test_roundtrip, test/test_dynamic_shapes.py::TestPySymInt::test_size_expressions, test/test_dynamic_shapes.py::TestPySymInt::test_specialize_zero_one, test/test_dynamic_shapes.py::TestPySymInt::test_statically_known_false, test/test_dynamic_shapes.py::TestPySymInt::test_statically_known_true, test/test_dynamic_shapes.py::TestPySymInt::test_stride, test/test_dynamic_shapes.py::TestPySymInt::test_sym_ceil, test/test_dynamic_shapes.py::TestPySymInt::test_sym_floor, test/test_dynamic_shapes.py::TestPySymInt::test_sym_int, test/test_dynamic_shapes.py::TestPySymInt::test_sym_ite, test/test_dynamic_shapes.py::TestPySymInt::test_sym_log2, test/test_dynamic_shapes.py::TestPySymInt::test_sym_max_multi_max_simplify, test/test_dynamic_shapes.py::TestPySymInt::test_sym_sqrt, test/test_dynamic_shapes.py::TestPySymInt::test_sym_sum, test/test_dynamic_shapes.py::TestPySymInt::test_sym_trunc, test/test_dynamic_shapes.py::TestPySymInt::test_symint_args, test/test_dynamic_shapes.py::TestPySymInt::test_symint_as_scalar, test/test_dynamic_shapes.py::TestPySymInt::test_symint_bitwise_and, test/test_dynamic_shapes.py::TestPySymInt::test_symint_bitwise_or, test/test_dynamic_shapes.py::TestPySymInt::test_symint_vargs, test/test_dynamic_shapes.py::TestPySymInt::test_sympify_symint, test/test_dynamic_shapes.py::TestPySymInt::test_sympy_optimized_add, test/test_dynamic_shapes.py::TestPySymInt::test_sympy_optimized_add_binary_search, test/test_dynamic_shapes.py::TestPySymInt::test_tensor_factory_with_symint, test/test_dynamic_shapes.py::TestPySymInt::test_tracing_sym_ite, test/test_dynamic_shapes.py::TestPySymInt::test_unbacked_substitution, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_abs, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_add, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_and, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_bitwise_and, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_bitwise_or, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_ceil, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_eq, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_float_pow, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_float_truediv, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_floor, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_ge, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_gt, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_int_floordiv, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_int_truediv, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_is_integer, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_le, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_lshift, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_lt, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_mod, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_mul, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_ne, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_neg, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_or, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_pos, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_pow_by_natural, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_round, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_rshift, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sub, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_acos, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_asin, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_atan, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_cos, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_cosh, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_ite, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_log2, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_max, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_min, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_not, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_sin, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_sinh, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_sqrt, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_tan, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_sym_tanh, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_bool_method_fn_trunc, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_abs_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_add_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_and_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_and_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_bitwise_or_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ceil_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ceil_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ceil_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ceil_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_eq_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_eq_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_eq_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_eq_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_pow_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_pow_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_pow_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_pow_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_truediv_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_truediv_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_truediv_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_float_truediv_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_floor_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_floor_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_floor_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_floor_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ge_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ge_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ge_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ge_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_gt_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_gt_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_gt_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_gt_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_floordiv_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_floordiv_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_floordiv_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_floordiv_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_truediv_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_truediv_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_truediv_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_int_truediv_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_is_integer_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_is_integer_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_is_integer_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_is_integer_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_le_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_le_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_le_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_le_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lshift_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lshift_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lshift_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lshift_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lt_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lt_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lt_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_lt_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mod_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mod_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mod_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mod_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mul_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mul_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mul_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_mul_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ne_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ne_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ne_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_ne_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_neg_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_neg_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_neg_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_neg_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_or_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_or_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_or_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_or_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pos_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pos_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pos_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pos_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pow_by_natural_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pow_by_natural_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pow_by_natural_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_pow_by_natural_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_round_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_round_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_round_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_round_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_rshift_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_rshift_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_rshift_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_rshift_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sub_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sub_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sub_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sub_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_acos_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_acos_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_acos_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_acos_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_asin_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_asin_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_asin_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_asin_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_atan_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_atan_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_atan_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_atan_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cos_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cos_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cos_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cos_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cosh_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cosh_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cosh_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_cosh_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_float_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_float_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_float_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_float_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_ite_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_ite_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_ite_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_ite_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_log2_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_log2_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_log2_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_log2_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_max_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_max_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_max_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_max_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_min_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_min_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_min_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_min_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_not_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_not_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_not_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_not_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sin_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sin_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sin_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sin_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sinh_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sinh_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sinh_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sinh_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sqrt_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sqrt_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sqrt_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_sqrt_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tan_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tan_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tan_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tan_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tanh_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tanh_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tanh_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_sym_tanh_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_trunc_first_type_float_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_trunc_first_type_float_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_trunc_first_type_int_second_type_float, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_method_fn_trunc_first_type_int_second_type_int, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_non_symbolic_symnode, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_stride_symnode, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_symint_deepcopy, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_symint_hashing, test/test_dynamic_shapes.py::TestSymNumberMagicMethods::test_symnode_hashing, test/test_dynamic_shapes.py::TestFloorDiv::test_floordiv_assumptions, test/test_dynamic_shapes.py::TestFloorDiv::test_floordiv_div_by_one, test/test_dynamic_shapes.py::TestFloorDiv::test_floordiv_float_int, test/test_dynamic_shapes.py::TestFloorDiv::test_floordiv_simplify, test/test_dynamic_shapes.py::TestDimConstraints::test_dim_constraints_reduce_congruences_simple, test/test_dynamic_shapes.py::TestDimConstraints::test_dim_constraints_reduce_inequalities_error, test/test_dynamic_shapes.py::TestDimConstraints::test_dim_constraints_reduce_inequalities_simple, test/test_dynamic_shapes.py::TestDimConstraints::test_dim_constraints_solve_full, test/test_dynamic_shapes.py::TestDimConstraints::test_simplify_max_1_0, test/test_dynamic_shapes.py::TestGuardsExpressions::test_guard_or_false, test/test_dynamic_shapes.py::TestGuardsExpressions::test_guard_or_true, test/test_dynamic_shapes.py::TestGuardsExpressions::test_guards_float_div, test/test_dynamic_shapes.py::TestGuardsExpressions::test_guards_float_print, test/test_dynamic_shapes.py::TestGuardsExpressions::test_guards_gt_lt, test/test_dynamic_shapes.py::TestGuardsExpressions::test_remove_symbols_without_guarding, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_neq_assert_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_neq_assert_backend_inductor, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_sym_eq_assert_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_sym_eq_assert_backend_inductor, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_sym_or_assert_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_sym_or_assert_backend_inductor, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_with_unbacked_input_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_deferred_with_unbacked_input_backend_inductor, test/test_dynamic_shapes.py::TestUnbacked::test_has_free_symbols, test/test_dynamic_shapes.py::TestUnbacked::test_post_specialize_runtime_assert1_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_post_specialize_runtime_assert1_backend_inductor, test/test_dynamic_shapes.py::TestUnbacked::test_post_specialize_runtime_assert2_backend_eager, test/test_dynamic_shapes.py::TestUnbacked::test_post_specialize_runtime_assert2_backend_inductor, test/test_dynamic_shapes.py::TestUbackedOps::test_invalid_view_unbacked_view, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_contiguous, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_non_contigious_reshape_failing, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_reshape1, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_reshape2, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select_index, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select_index_cpp_wrapper, test/test_dynamic_shapes.py::TestUbackedOps::test_unbacked_select_index_with_check, test/test_dynamic_shapes.py::TestUbackedOps::test_unbind_not_dynamic 2025-07-17T09:10:18.6593981Z 2025-07-17T09:10:19.9045275Z 2025-07-17T09:10:19.9046906Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_8f214aea5c57d13d_.log 2025-07-17T09:10:19.9071780Z Running 33 items in this shard: test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_scalar_comparisons, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value0, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value1, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value10, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value11, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value4, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value5, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value6, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value7, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value8, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value9, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value_s, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value_string, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_0D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_1D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_2D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_float32, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_int, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_list, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_list-list, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_literal 2025-07-17T09:10:19.9095274Z 2025-07-17T09:10:23.9749228Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:10:23.9752357Z import pkg_resources 2025-07-17T09:10:24.1872367Z Running export/test_draft_export 1/1 ... [2025-07-17 09:10:24.185953] 2025-07-17T09:10:24.1873533Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:10:24.1876258Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'export/test_draft_export.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:10:24.186583] 2025-07-17T09:10:24.9028174Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:10:24.9031741Z import pkg_resources 2025-07-17T09:10:25.1169640Z Running nn/test_load_state_dict 1/1 ... [2025-07-17 09:10:25.116154] 2025-07-17T09:10:25.1171631Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:10:25.1177271Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_load_state_dict.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:10:25.116685] 2025-07-17T09:10:29.8415525Z 2025-07-17T09:10:29.8416993Z nn/test_load_state_dict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_load_state_dict_1.1_73584dba405b4c31_.log 2025-07-17T09:10:29.8432272Z Running 27 items in this shard: test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_BC_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_BC_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_False_keep_vars_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_False_keep_vars_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_True_keep_vars_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_meta_swap_True_keep_vars_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_shape_stride_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_shape_stride_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_with_optimizer_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_assign_with_optimizer_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_child_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_child_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_custom_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_custom_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_invalid_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_invalid_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_ref_cycle_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_type_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_type_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_warn_assign_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_warn_assign_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_with_unexpected_key_swap_False, test/nn/test_load_state_dict.py::TestLoadStateDict::test_load_state_dict_with_unexpected_key_swap_True, test/nn/test_load_state_dict.py::TestLoadStateDictSwap::test_swap_subclass_swap_True_assign_False, test/nn/test_load_state_dict.py::TestLoadStateDictSwap::test_swap_subclass_swap_True_assign_True 2025-07-17T09:10:29.8443180Z 2025-07-17T09:10:34.7456852Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:10:34.7460475Z import pkg_resources 2025-07-17T09:10:34.9560190Z Running test_indexing 1/1 ... [2025-07-17 09:10:34.955571] 2025-07-17T09:10:34.9560988Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:10:34.9564678Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:10:34.956051] 2025-07-17T09:10:42.6875464Z 2025-07-17T09:10:42.6877247Z test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_indexing_1.1_6eee9717d47169ad_.log 2025-07-17T09:10:42.6998173Z Running 92 items in this shard: test/test_indexing.py::TestIndexingCPU::test_advancedindex_big_cpu, test/test_indexing.py::TestIndexingCPU::test_advancedindex_cpu_float16, test/test_indexing.py::TestIndexingCPU::test_advancedindex_cpu_float64, test/test_indexing.py::TestIndexingCPU::test_basic_advanced_combined_cpu, test/test_indexing.py::TestIndexingCPU::test_bool_indices_accumulate_cpu, test/test_indexing.py::TestIndexingCPU::test_bool_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_bool_mask_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_mask2d_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_mask_accumulate_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_byte_tensor_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_cpu_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_cuda_broadcast_index_use_deterministic_algorithms_cpu, test/test_indexing.py::TestIndexingCPU::test_ellipsis_tensor_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_index_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_ndim_index_bool_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_ndim_index_cpu, test/test_indexing.py::TestIndexingCPU::test_empty_slice_cpu, test/test_indexing.py::TestIndexingCPU::test_gather_take_along_dim_cross_device_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_getitem_scalars_cpu, test/test_indexing.py::TestIndexingCPU::test_index_cpu, test/test_indexing.py::TestIndexingCPU::test_index_getitem_copy_bools_slices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_ind_dtype_cpu, test/test_indexing.py::TestIndexingCPU::test_index_limits_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_duplicate_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_empty_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_expanded_values_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_large_tensor_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_accumulate_non_contiguous_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_deterministic_with_optional_tensors_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_large_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_complex128, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_complex64, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_put_src_datatype_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_index_scalar_with_bool_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_index_setitem_bools_slices_cpu, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_bfloat16, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_bool, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_index_src_datatype_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_int_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_int_indices2d_cpu, test/test_indexing.py::TestIndexingCPU::test_int_indices_broadcast_cpu, test/test_indexing.py::TestIndexingCPU::test_int_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_invalid_device_cpu, test/test_indexing.py::TestIndexingCPU::test_invalid_index_cpu, test/test_indexing.py::TestIndexingCPU::test_jit_indexing_cpu, test/test_indexing.py::TestIndexingCPU::test_list_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_multi_dimensional_bool_mask_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_multi_dimensional_bool_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_multiple_bool_indices_cpu, test/test_indexing.py::TestIndexingCPU::test_multiple_byte_mask_cpu, test/test_indexing.py::TestIndexingCPU::test_multiple_int_cpu, test/test_indexing.py::TestIndexingCPU::test_none_cpu, test/test_indexing.py::TestIndexingCPU::test_out_of_bound_index_cpu, test/test_indexing.py::TestIndexingCPU::test_set_item_to_scalar_tensor_cpu, test/test_indexing.py::TestIndexingCPU::test_setitem_expansion_error_cpu, test/test_indexing.py::TestIndexingCPU::test_setitem_scalars_cpu, test/test_indexing.py::TestIndexingCPU::test_single_int_cpu, test/test_indexing.py::TestIndexingCPU::test_step_assignment_cpu, test/test_indexing.py::TestIndexingCPU::test_step_cpu, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_invalid_cpu_float32, test/test_indexing.py::TestIndexingCPU::test_take_along_dim_invalid_cpu_int64, test/test_indexing.py::TestIndexingCPU::test_unravel_index_errors_cpu, test/test_indexing.py::TestIndexingCPU::test_variable_slicing_cpu, test/test_indexing.py::TestIndexingCPU::test_zero_dim_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_assignment_value_mismatch_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_alldims_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_onedim_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_twodim_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_weirdness_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_indexing_weirdness_tensors_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_list_indexing_cpu, test/test_indexing.py::NumpyTestsCPU::test_boolean_shape_mismatch_cpu, test/test_indexing.py::NumpyTestsCPU::test_broadcast_subspace_cpu, test/test_indexing.py::NumpyTestsCPU::test_broaderrors_indexing_cpu, test/test_indexing.py::NumpyTestsCPU::test_ellipsis_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_empty_fancy_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_empty_tuple_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_everything_returns_views_cpu, test/test_indexing.py::NumpyTestsCPU::test_index_is_larger_cpu, test/test_indexing.py::NumpyTestsCPU::test_index_no_floats_cpu, test/test_indexing.py::NumpyTestsCPU::test_none_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_single_bool_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_single_int_index_cpu, test/test_indexing.py::NumpyTestsCPU::test_trivial_fancy_out_of_bounds_cpu, test/test_indexing.py::NumpyTestsCPU::test_truncate_leading_1s_cpu 2025-07-17T09:10:42.7045653Z 2025-07-17T09:10:46.5390030Z 2025-07-17T09:10:46.5391051Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_d2e80c091254b12d_.log 2025-07-17T09:10:46.5394163Z Running 8 items in this shard: test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_binary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_transpose_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_nnc, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_linear_binary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_linear_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_single_conv, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_unsupported_conv 2025-07-17T09:10:46.5396738Z 2025-07-17T09:10:46.7777665Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:10:46.7780632Z import pkg_resources 2025-07-17T09:10:46.9085650Z Running torch_np/numpy_tests/lib/test_index_tricks 1/1 ... [2025-07-17 09:10:46.908113] 2025-07-17T09:10:46.9086442Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:10:46.9088247Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_index_tricks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:10:46.908492] 2025-07-17T09:10:49.8373795Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:10:49.8375429Z import pkg_resources 2025-07-17T09:10:49.9697813Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-07-17 09:10:49.969360] 2025-07-17T09:10:49.9698765Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:10:49.9701293Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:10:49.969781] 2025-07-17T09:10:50.6791404Z 2025-07-17T09:10:50.6792764Z torch_np/numpy_tests/lib/test_index_tricks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_index_tricks_1.1_45f39d63617bebae_.log 2025-07-17T09:10:50.6813503Z Running 47 items in this shard: test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_0d, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_basic, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_big_indices, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_clipmodes, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_dtypes, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_empty_array_ravel_mode_clip, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_empty_array_ravel_mode_raise, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_empty_array_ravel_mode_wrap, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_empty_array_unravel, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_empty_indices, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestRavelUnravelIndex::test_writeability, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_accepts_longdouble, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_accepts_npcomplexfloating, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_accepts_npfloating, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_basic, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_linspace_equivalence, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_mgrid_size_none_handling_start0_stop_10_step0_expected0, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_mgrid_size_none_handling_start_-10_stop_20_step1_expected1, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_nd, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestGrid::test_sparse, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestConcatenator::test_0d, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestConcatenator::test_1d, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestConcatenator::test_2d, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestConcatenator::test_complex_step, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestConcatenator::test_mixed_type, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestConcatenator::test_more_mixed_type, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestNdenumerate::test_basic, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestIndexExpression::test_regression_1, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestIndexExpression::test_simple_1, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestIx_::test_1d_only, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestIx_::test_bool, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestIx_::test_regression_1, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestIx_::test_repeated_input, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestIx_::test_shape_and_dtype, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestC::test_c_, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestFillDiagonal::test_basic, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestFillDiagonal::test_hetero_shape_handling, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestFillDiagonal::test_low_dim_handling, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestFillDiagonal::test_operate_4d_array, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestFillDiagonal::test_tall_matrix, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestFillDiagonal::test_tall_matrix_wrap, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestFillDiagonal::test_wide_matrix, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestDiagIndices::test_diag_indices, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestDiagIndicesFrom::test_diag_indices_from, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestDiagIndicesFrom::test_error_shape_mismatch, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestDiagIndicesFrom::test_error_small_input, test/torch_np/numpy_tests/lib/test_index_tricks.py::TestNdIndex::test_ndindex 2025-07-17T09:10:50.6832507Z 2025-07-17T09:10:50.9616905Z 2025-07-17T09:10:50.9618468Z export/test_draft_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_draft_export_1.1_6ebfea6fb2a120b6_.log 2025-07-17T09:10:50.9628275Z Running 21 items in this shard: test/export/test_draft_export.py::TestDraftExport::test_complex_data_dependent_expr, test/export/test_draft_export.py::TestDraftExport::test_constantify_unbacked_symbol, test/export/test_draft_export.py::TestDraftExport::test_cuda_memory_usage, test/export/test_draft_export.py::TestDraftExport::test_data_dependent_failure, test/export/test_draft_export.py::TestDraftExport::test_dedup_data_dependent_failure, test/export/test_draft_export.py::TestDraftExport::test_fake_infer_dense_in_memory_check, test/export/test_draft_export.py::TestDraftExport::test_masked_linear, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_custom_op_basic, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_custom_op_multiple_profiles, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_custom_op_update_profile, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_guard, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_impl, test/export/test_draft_export.py::TestDraftExport::test_offsets, test/export/test_draft_export.py::TestDraftExport::test_override_incorrectly_aliasing_kernel, test/export/test_draft_export.py::TestDraftExport::test_override_mismatched_fake_kernel_with_unbacked_symbols, test/export/test_draft_export.py::TestDraftExport::test_override_size_and_dtype_mismatched_fake_kernels, test/export/test_draft_export.py::TestDraftExport::test_shape_failure, test/export/test_draft_export.py::TestDraftExport::test_side_effect1, test/export/test_draft_export.py::TestDraftExport::test_side_effect_inps, test/export/test_draft_export.py::TestDraftExport::test_torchbind, test/export/test_draft_export.py::TestDraftExport::test_unbacked_div_mod_replacement 2025-07-17T09:10:50.9636097Z 2025-07-17T09:10:53.6905945Z 2025-07-17T09:10:53.6907848Z torch_np/numpy_tests/core/test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_9a7abd37a3a87e83_.log 2025-07-17T09:10:53.6943602Z Running 53 items in this shard: test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dlpack_destructor_exception, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dlpack_device, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype0, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype1, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype2, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype3, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype4, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype5, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype6, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype7, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype8, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype9, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dunder_dlpack_refcount, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dunder_dlpack_stream, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_from_dlpack_refcount, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_from_torch, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_0, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_1, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_10, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_11, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_12, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_13, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_14, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_15, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_16, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_17, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_18, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_19, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_2, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_20, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_21, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_22, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_23, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_24, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_25, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_26, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_27, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_28, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_29, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_3, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_30, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_31, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_32, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_4, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_5, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_6, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_7, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_8, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_9, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_ndim0, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_non_contiguous, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_readonly, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_to_torch 2025-07-17T09:10:53.6976806Z 2025-07-17T09:10:53.9641711Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:10:53.9644530Z import pkg_resources 2025-07-17T09:10:54.0954312Z Running torch_np/numpy_tests/lib/test_arraypad 1/1 ... [2025-07-17 09:10:54.095034] 2025-07-17T09:10:54.0955386Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:10:54.0957764Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraypad.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:10:54.095430] 2025-07-17T09:10:54.3530907Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:10:54.3533688Z import pkg_resources 2025-07-17T09:10:54.5099680Z Running lazy/test_debug_util 1/1 ... [2025-07-17 09:10:54.509562] 2025-07-17T09:10:54.5100728Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:10:54.5103114Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_debug_util.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:10:54.509956] 2025-07-17T09:10:57.0082821Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:10:57.0084458Z import pkg_resources 2025-07-17T09:10:57.1390406Z Running test_xnnpack_integration 1/1 ... [2025-07-17 09:10:57.138604] 2025-07-17T09:10:57.1391033Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:10:57.1393165Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:10:57.139011] 2025-07-17T09:10:57.6658157Z 2025-07-17T09:10:57.6659974Z torch_np/numpy_tests/lib/test_arraypad 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraypad_1.1_ca4d3c3019b14bda_.log 2025-07-17T09:10:57.6671719Z Running 9 items in this shard: test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_float, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_float2, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_float3, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_odd_pad_amount, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_pad_2d, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_constant_zeros, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_check_large_integers, test/torch_np/numpy_tests/lib/test_arraypad.py::TestConstant::test_pad_empty_dimension 2025-07-17T09:10:57.6678780Z 2025-07-17T09:10:58.1305099Z 2025-07-17T09:10:58.1306340Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_d72ccb9c70195239_.log 2025-07-17T09:10:58.1307465Z Running 1 items in this shard: test/lazy/test_debug_util.py::DebugUtilTest::test_get_python_frames 2025-07-17T09:10:58.1307905Z 2025-07-17T09:11:01.6372167Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:11:01.6374288Z import pkg_resources 2025-07-17T09:11:01.8480352Z Running test_sparse_csr 1/1 ... [2025-07-17 09:11:01.847506] 2025-07-17T09:11:01.8480928Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:11:01.8483841Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_sparse_csr.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:11:01.848006] 2025-07-17T09:11:02.4149770Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:11:02.4153061Z import pkg_resources 2025-07-17T09:11:02.6344932Z Running lazy/test_generator 1/1 ... [2025-07-17 09:11:02.633838] 2025-07-17T09:11:02.6345580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:11:02.6348877Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_generator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:11:02.634473] 2025-07-17T09:11:07.4884881Z 2025-07-17T09:11:07.4886667Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_1b2e2156653011bc_.log 2025-07-17T09:11:07.4889490Z Running 2 items in this shard: test/lazy/test_generator.py::LazyGeneratorTest::test_generator, test/lazy/test_generator.py::LazyGeneratorTest::test_generator_causes_multiple_compiles 2025-07-17T09:11:07.4891111Z 2025-07-17T09:11:10.6608508Z 2025-07-17T09:11:10.6609834Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_21ace8769f68c635_.log 2025-07-17T09:11:10.6617707Z Running 12 items in this shard: test/test_xnnpack_integration.py::TestXNNPACKOps::test_conv2d, test/test_xnnpack_integration.py::TestXNNPACKOps::test_conv2d_transpose, test/test_xnnpack_integration.py::TestXNNPACKOps::test_linear, test/test_xnnpack_integration.py::TestXNNPACKOps::test_linear_1d_input, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_combined_model, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_conv2d, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_conv2d_transpose, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_linear, test/test_xnnpack_integration.py::TestXNNPACKRewritePass::test_decomposed_linear, test/test_xnnpack_integration.py::TestXNNPACKRewritePass::test_linear, test/test_xnnpack_integration.py::TestXNNPACKConv1dTransformPass::test_conv1d_basic, test/test_xnnpack_integration.py::TestXNNPACKConv1dTransformPass::test_conv1d_with_relu_fc 2025-07-17T09:11:10.6624919Z 2025-07-17T09:11:11.2318492Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:11:11.2322163Z import pkg_resources 2025-07-17T09:11:11.3631291Z Running test_functional_autograd_benchmark 1/1 ... [2025-07-17 09:11:11.362709] 2025-07-17T09:11:11.3632524Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:11:11.3636224Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:11:11.363159] 2025-07-17T09:11:15.5204849Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:11:15.5207903Z import pkg_resources 2025-07-17T09:11:15.7516428Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-07-17 09:11:15.751113] 2025-07-17T09:11:15.7517476Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:11:15.7524680Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:11:15.751636] 2025-07-17T09:11:23.5076766Z 2025-07-17T09:11:23.5078980Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_d9eeea90e8807185_.log 2025-07-17T09:11:23.5164202Z Running 77 items in this shard: test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_against_known_values, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_errors_ftype0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_errors_ftype1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_errors_ftype2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_roundtrip_ftype0_frac_vals0_exp_vals0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_roundtrip_ftype1_frac_vals1_exp_vals1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_roundtrip_ftype2_frac_vals2_exp_vals2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_simple_fractions_ftype0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_simple_fractions_ftype1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_simple_fractions_ftype2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype0_f_-0_875_ratio1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype0_f_0_0_ratio2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype0_f_0_875_ratio0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype0_f_11_5_ratio3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype1_f_-0_875_ratio1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype1_f_0_0_ratio2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype1_f_0_875_ratio0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype1_f_11_5_ratio3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype2_f_-0_875_ratio1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype2_f_0_0_ratio2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype2_f_0_875_ratio0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype2_f_11_5_ratio3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_false_code_b, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_false_code_h, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_false_code_i, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_false_code_l, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_inf_code_d, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_inf_code_e, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_inf_code_f, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_nan_code_d, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_nan_code_e, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_nan_code_f, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_B, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_b, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_d, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_e, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_f, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_h, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_i, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_l, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls4, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls5, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_complexfloating, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_complexfloating_subscript_tuple_arg_len_0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_complexfloating_subscript_tuple_arg_len_1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_complexfloating_subscript_tuple_arg_len_2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_complexfloating_subscript_tuple_arg_len_3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_non_numeric_cls0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_?, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_B, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_D, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_F, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_b, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_d, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_e, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_f, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_h, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_i, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_l, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_subscript_scalar, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_subscript_tuple_arg_len_0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_subscript_tuple_arg_len_1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_subscript_tuple_arg_len_2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_subscript_tuple_arg_len_3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_bit_count, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype4, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype5, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype6, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype7 2025-07-17T09:11:23.5232536Z 2025-07-17T09:11:28.7978715Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:11:28.7980578Z import pkg_resources 2025-07-17T09:11:28.9230857Z Running nn/test_module_hooks 1/1 ... [2025-07-17 09:11:28.922686] 2025-07-17T09:11:28.9231355Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:11:28.9234040Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'nn/test_module_hooks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:11:28.923086] 2025-07-17T09:11:32.8945582Z 2025-07-17T09:11:32.8946987Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_a8918b0ab125f480_.log 2025-07-17T09:11:32.8967078Z Running 53 items in this shard: test/nn/test_module_hooks.py::TestModuleHooks::test_always_called_forward_hooks, test/nn/test_module_hooks.py::TestModuleHooks::test_bw_hook_warning_for_non_tensor_or_tuple, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_pre_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_pre_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_pre_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_pre_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_kwarg_hooks, test/nn/test_module_hooks.py::TestModuleHooks::test_mixed_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_mixed_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_remove_kwarg_hooks, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_module_pre_hook_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_module_pre_hook_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_backward_compatibility_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_backward_compatibility_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_pre_hook_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_pre_hook_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_no_extra_ref_to_module, test/nn/test_module_hooks.py::TestStateDictHooks::test_pickled_hook, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_post_hook_private_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_post_hook_private_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_pre_hook, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_pre_hook_backward_compat, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_pre_hook_lazy_module, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_global_and_local_hooks_order, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_backward_global_hook_writeable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_forward_forward_hook_removable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_forward_preforward_hook_removable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_forward_preforward_hook_writeable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hook_invalid_outputs, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hooks, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hooks_with_kwargs, test/nn/test_module_hooks.py::TestModuleHookNN::test_backward_hooks_interaction, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_backward_size, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_backward_writeable, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_buffer_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_cpp, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_extra_input, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_forward_preforward_writable, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_inplace, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_invalid_outputs, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_last_arg_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_no_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_non_full_warning, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_parameter_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_submodule_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hooks 2025-07-17T09:11:32.8986296Z 2025-07-17T09:11:37.4769045Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:11:37.4772310Z import pkg_resources 2025-07-17T09:11:37.9467996Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-07-17 09:11:37.946274] 2025-07-17T09:11:37.9469570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:11:37.9477270Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:11:37.947269] 2025-07-17T09:11:44.2859557Z 2025-07-17T09:11:44.2861096Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_87f85d9bc97009c9_.log 2025-07-17T09:11:44.2901659Z Running 62 items in this shard: test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_forbidden_type_casts_ary0_prepend0_append_nan_expected_to_end, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_forbidden_type_casts_ary1_prepend1_append1_expected_to_begin, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_forbidden_type_casts_ary2_prepend_nan_append_nan_expected_to_begin, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary0_prepend_65536_append_65540_expected0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary1_prepend1_append1_expected1, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary2_prepend_0_append_0_expected2, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary3_prepend_3_append_-9_expected3, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_boolean_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_boolean_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_boolean_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_both_arrays_are_object, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_both_arrays_have_structured_dtype, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_char_array, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_errors, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_first_array_is_object, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_hit_alternate_algorithm, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_invert_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_invert_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_invert_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_boolean_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_boolean_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_boolean_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype10_dtype20_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype10_dtype20_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype10_dtype20_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype11_dtype21_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype11_dtype21_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype11_dtype21_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_ravel_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_ravel_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_ravel_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_second_array_is_object, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_table_timedelta_fails, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_timedelta_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_timedelta_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_with_arrays_containing_tuples, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_intersect1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_intersect1d_array_like, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_intersect1d_indices, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_isin_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_isin_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_isin_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_manyways, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setdiff1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setdiff1d_char_array, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setdiff1d_unique, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setxor1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_union1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d_2, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d_with_axis_axis_-1, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d_with_axis_axis_0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis_errors, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis_list, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis_zeros, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_nanequals, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_sort_order_with_axis 2025-07-17T09:11:44.2946102Z 2025-07-17T09:11:51.4364276Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:11:51.4367309Z import pkg_resources 2025-07-17T09:11:51.5696919Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-07-17 09:11:51.569251] 2025-07-17T09:11:51.5697901Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:11:51.5700243Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:11:51.569640] 2025-07-17T09:11:55.4753109Z 2025-07-17T09:11:55.4754481Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_71a3ccacff4285b6_.log 2025-07-17T09:11:55.4756221Z Running 2 items in this shard: test/test_functional_autograd_benchmark.py::TestFunctionalAutogradBenchmark::test_fast_tasks, test/test_functional_autograd_benchmark.py::TestFunctionalAutogradBenchmark::test_slow_tasks 2025-07-17T09:11:55.4757200Z 2025-07-17T09:11:55.8914239Z 2025-07-17T09:11:55.8915976Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_6386d7715d7bb45a_.log 2025-07-17T09:11:55.8940797Z Running 34 items in this shard: test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_loses1, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_loses2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_wins, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_wins2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_wins3, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_both_abstract, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_nondtype_nonscalartype, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_same, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_sibling_class, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_subclass, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_subclass_backwards, test/torch_np/numpy_tests/core/test_numerictypes.py::TestBitName::test_abstract, test/torch_np/numpy_tests/core/test_numerictypes.py::TestDocStrings::test_platform_dependent_aliases, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t0, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t1, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t3, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t4, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t5, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t6, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t7, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t8, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t9, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_unique, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t0, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t1, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t3, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t4, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t5, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t6, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t7, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t8, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t9 2025-07-17T09:11:55.8964714Z 2025-07-17T09:11:58.9031368Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:11:58.9034330Z import pkg_resources 2025-07-17T09:11:59.0374664Z Running test_view_ops 1/1 ... [2025-07-17 09:11:59.037048] 2025-07-17T09:11:59.0375407Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:11:59.0377678Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_view_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:11:59.037451] 2025-07-17T09:11:59.2974188Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:11:59.2977048Z import pkg_resources 2025-07-17T09:11:59.4289000Z Running test_scatter_gather_ops 1/1 ... [2025-07-17 09:11:59.428512] 2025-07-17T09:11:59.4289740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:11:59.4292736Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_scatter_gather_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:11:59.428948] 2025-07-17T09:12:14.5213738Z 2025-07-17T09:12:14.5215274Z test_scatter_gather_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scatter_gather_ops_1.1_5a3f2d8682270214_.log 2025-07-17T09:12:14.5252510Z Running 84 items in this shard: test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_backward_with_empty_index_tensor_sparse_grad_False_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_backward_with_empty_index_tensor_sparse_grad_False_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_backward_with_empty_index_tensor_sparse_grad_True_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_backward_with_empty_index_tensor_sparse_grad_True_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_bool_cpu_bool, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_expanded_index_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_expanded_index_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_expanded_index_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_large_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_large_cpu_int8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__reductions_cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__reductions_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__reductions_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__scalar_cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__scalar_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__scalar_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_add__cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_add__cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_add__cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_add_broadcasted_index_deterministic_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_add_mult_index_base_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_expanded_index_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_expanded_index_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_expanded_index_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_expanded_index_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_bool, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_int16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_int32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_int64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_int8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_uint8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_bool, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_int16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_int32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_int64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_int8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_uint8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_complex128, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_int16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_int32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_int64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_int8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_uint8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_bool, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_complex128, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_int16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_int32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_int64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_int8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_uint8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_complex128, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_int16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_int32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_int64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_int8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_uint8 2025-07-17T09:12:14.5285527Z 2025-07-17T09:12:17.7630512Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:12:17.7633404Z import pkg_resources 2025-07-17T09:12:17.8951019Z Running profiler/test_memory_profiler 1/1 ... [2025-07-17 09:12:17.894663] 2025-07-17T09:12:17.8951966Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:12:17.8954159Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_memory_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:12:17.895027] 2025-07-17T09:12:22.5524790Z 2025-07-17T09:12:22.5526285Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_ca83d9875cbc6252_.log 2025-07-17T09:12:22.5775398Z Running 442 items in this shard: test/test_view_ops.py::TestViewOpsCPU::test_T_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_advanced_indexing_assignment_cpu, test/test_view_ops.py::TestViewOpsCPU::test_advanced_indexing_nonview_cpu, test/test_view_ops.py::TestViewOpsCPU::test_as_strided_gradients_cpu, test/test_view_ops.py::TestViewOpsCPU::test_as_strided_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_as_strided_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_basic_indexing_ellipses_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_basic_indexing_newaxis_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_basic_indexing_slice_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_chunk_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_conj_imag_view_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_conj_imag_view_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_conj_view_with_shared_memory_cpu, test/test_view_ops.py::TestViewOpsCPU::test_contiguous_nonview_cpu, test/test_view_ops.py::TestViewOpsCPU::test_contiguous_self_cpu, test/test_view_ops.py::TestViewOpsCPU::test_diagonal_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_expand_as_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_expand_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_flatten_nonview_cpu, test/test_view_ops.py::TestViewOpsCPU::test_flatten_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_movedim_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_narrow_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_permute_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_real_imag_view_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_real_imag_view_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_reshape_as_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_reshape_nonview_cpu, test/test_view_ops.py::TestViewOpsCPU::test_reshape_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_select_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_bool, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_complex128, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_complex64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_float16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_float32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_float64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int8, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_uint8, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_bool, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_complex128, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_complex64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_float16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_float32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_float64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int8, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_uint8, test/test_view_ops.py::TestViewOpsCPU::test_split_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_squeeze_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_squeeze_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_t_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_t_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_transpose_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_transpose_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unbind_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unbind_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unfold_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unsqueeze_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unsqueeze_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_as_complex_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_as_real_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_as_real_cpu_complex32, test/test_view_ops.py::TestViewOpsCPU::test_view_as_real_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_as_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_copy_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_copy_out_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_copy_output_contiguous_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_view_cpu, test/test_view_ops.py::TestViewOpsLAZY::test_T_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_advanced_indexing_assignment_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_advanced_indexing_nonview_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_as_strided_gradients_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_as_strided_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_as_strided_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_basic_indexing_ellipses_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_basic_indexing_newaxis_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_basic_indexing_slice_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_chunk_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_conj_imag_view_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_conj_imag_view_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_conj_view_with_shared_memory_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_contiguous_nonview_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_contiguous_self_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_diagonal_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_expand_as_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_expand_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_flatten_nonview_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_flatten_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_movedim_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_narrow_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_permute_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_real_imag_view_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_real_imag_view_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_reshape_as_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_reshape_nonview_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_reshape_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_select_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_bool, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_float16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_float32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_float64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int8, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_bool, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_float16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_float32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_float64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int8, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_split_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_squeeze_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_squeeze_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_t_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_t_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_transpose_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_transpose_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unbind_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unbind_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unfold_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unsqueeze_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unsqueeze_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_complex_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_real_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_real_lazy_complex32, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_real_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_copy_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_copy_out_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_copy_output_contiguous_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_view_lazy, test/test_view_ops.py::TestOldViewOpsCPU::test_T_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_as_strided_overflow_storage_offset_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_gradient_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_big_transpose_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_shapes_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_tensors_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_chunk_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_conj_neg_view_numpy_error_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_contiguous_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_crow_col_indices_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_empty_reshape_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_expand_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_flatten_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_memory_format_resize__cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_memory_format_resize_as_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_narrow_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_narrow_tensor_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_python_types_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_ravel_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_bfloat16, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_all_dtypes_and_devices_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_as_all_dtypes_and_devices_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_as_preserves_strides_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_overflow_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_split_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_t_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_errors_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_invalid_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_invalid_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_invalid_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_vs_numpy_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_vs_numpy_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_vs_numpy_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_bfloat16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_bfloat16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_unsqueeze_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_view_all_dtypes_and_devices_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_view_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_view_empty_cpu 2025-07-17T09:12:22.6016811Z 2025-07-17T09:12:25.7773521Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:12:25.7775137Z import pkg_resources 2025-07-17T09:12:25.9058859Z Running test_unary_ufuncs 1/1 ... [2025-07-17 09:12:25.905474] 2025-07-17T09:12:25.9059672Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:12:25.9062096Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:12:25.905870] 2025-07-17T09:12:26.6301717Z 2025-07-17T09:12:26.6303231Z profiler/test_memory_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_memory_profiler_1.1_bc0872790edec59a_.log 2025-07-17T09:12:26.6329891Z Running 33 items in this shard: test/profiler/test_memory_profiler.py::TestMemoryProfiler::test_config_check, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_module, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_module_and_optimizer, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_low_level, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_complicated, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_non_op_allocations, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_simple, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_simple_backward, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_simple_inplace, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_stacked, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_with_annotations, test/profiler/test_memory_profiler.py::TestDataFlow::test_match_schemas, test/profiler/test_memory_profiler.py::TestDataFlow::test_match_schemas_backward, test/profiler/test_memory_profiler.py::TestDataFlow::test_match_schemas_tensorlist, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_sequential_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_sequential_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_fwd_bwd_step, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_module_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_module_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_module_fwd_bwd_step, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_inputs_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_inputs_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_inputs_fwd_lazy, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_lazily_initialized, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_manual_optimizer_step, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_memory_timeline, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_parameters_and_gradients, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_parameters_and_gradients_set_to_none, test/profiler/test_memory_profiler.py::TestMemoryProfilerTimelineCPU::test_memory_timeline_no_id_cpu 2025-07-17T09:12:26.6355015Z 2025-07-17T09:12:29.9934042Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:12:29.9937127Z import pkg_resources 2025-07-17T09:12:30.1209207Z Running test_cuda_multigpu 1/1 ... [2025-07-17 09:12:30.120536] 2025-07-17T09:12:30.1209900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:12:30.1214083Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:12:30.120981] 2025-07-17T09:12:33.5436107Z 2025-07-17T09:12:33.5437421Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_d9d89513812b9b72_.log 2025-07-17T09:12:33.5438922Z Running 0 items in this shard: 2025-07-17T09:12:33.5439286Z 2025-07-17T09:12:37.2159609Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:12:37.2162648Z import pkg_resources 2025-07-17T09:12:37.3499876Z Running torch_np/test_reductions 1/1 ... [2025-07-17 09:12:37.348996] 2025-07-17T09:12:37.3500388Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:12:37.3501564Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:12:37.349465] 2025-07-17T09:12:47.4525346Z 2025-07-17T09:12:47.4526898Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_452270ab235edad7_.log 2025-07-17T09:12:47.5404559Z Running 966 items in this shard: test/torch_np/test_reductions.py::TestFlatnonzero::test_basic, test/torch_np/test_reductions.py::TestAny::test_basic, test/torch_np/test_reductions.py::TestAny::test_method_vs_function, test/torch_np/test_reductions.py::TestAny::test_nd, test/torch_np/test_reductions.py::TestAll::test_basic, test/torch_np/test_reductions.py::TestAll::test_method_vs_function, test/torch_np/test_reductions.py::TestAll::test_nd, test/torch_np/test_reductions.py::TestMean::test_mean, test/torch_np/test_reductions.py::TestMean::test_mean_float16, test/torch_np/test_reductions.py::TestMean::test_mean_values, test/torch_np/test_reductions.py::TestMean::test_mean_where, test/torch_np/test_reductions.py::TestSum::test_sum, test/torch_np/test_reductions.py::TestSum::test_sum_boolean, test/torch_np/test_reductions.py::TestSum::test_sum_complex_1_dt0, test/torch_np/test_reductions.py::TestSum::test_sum_complex_1_dt1, test/torch_np/test_reductions.py::TestSum::test_sum_complex_2_dt0, test/torch_np/test_reductions.py::TestSum::test_sum_complex_2_dt1, test/torch_np/test_reductions.py::TestSum::test_sum_dtypes_2, test/torch_np/test_reductions.py::TestSum::test_sum_dtypes_warnings, test/torch_np/test_reductions.py::TestSum::test_sum_initial, test/torch_np/test_reductions.py::TestSum::test_sum_stability, test/torch_np/test_reductions.py::TestSum::test_sum_where, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_bad_tuple_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_axis_empty_generic_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_bad_axis_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis5_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis6_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis7_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis8_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-1_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-2_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-2_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-2_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-2_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-2_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-2_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-2_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-2_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-2_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-2_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-2_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_-2_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_0_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_0_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_0_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_0_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_0_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_0_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_0_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_0_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_0_func6, 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test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_none_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_none_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_none_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_none_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_none_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_none_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_none_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_none_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_generic_axis_none_func9, test/torch_np/test_reductions.py::TestGenericReductions::test_keepdims_out_func0_axis5, 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test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func1_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func1_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func1_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func2_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func3_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func4_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func5_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func6_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func9, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_array_axis_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_array_axis_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_bad_tuple_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_bad_tuple_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_empty_generic_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_empty_generic_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_bad_axis_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_bad_axis_func1 2025-07-17T09:12:47.6252450Z 2025-07-17T09:12:51.8728665Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:12:51.8731890Z import pkg_resources 2025-07-17T09:12:52.0611484Z Running profiler/test_profiler_tree 1/1 ... [2025-07-17 09:12:52.060004] 2025-07-17T09:12:52.0612432Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:12:52.0614722Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:12:52.060457] 2025-07-17T09:12:55.6314399Z 2025-07-17T09:12:55.6316217Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_1b4364eea81bcad6_.log 2025-07-17T09:12:55.6327442Z Running 10 items in this shard: test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda_detailed, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda_with_stream, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_memory, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_memory_and_stack, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_record_function, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_modules, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_torch_dispatch, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_torch_function 2025-07-17T09:12:55.6338845Z 2025-07-17T09:12:59.9592679Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:12:59.9595801Z import pkg_resources 2025-07-17T09:13:00.1524663Z Running test_type_promotion 1/1 ... [2025-07-17 09:13:00.151994] 2025-07-17T09:13:00.1525495Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:13:00.1531769Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_type_promotion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:13:00.152446] 2025-07-17T09:13:08.3822025Z 2025-07-17T09:13:08.3823454Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_d3027443ae4aa72e_.log 2025-07-17T09:13:08.4176364Z Running 423 items in this shard: test/test_type_promotion.py::TestTypePromotionCPU::test_add_wrapped_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_alpha_mismatch_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_alternate_result_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_bfloat16_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_booleans_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_can_cast_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_cat_different_dtypes_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_cat_out_different_dtypes_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_int32_float32, 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test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_uint8_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_uint8_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_uint8_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_uint8_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_uint8_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_uint8_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_uint8_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_uint8_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_uint8_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_promote_self_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_promote_types_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bfloat16_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bfloat16_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bfloat16_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bfloat16_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bfloat16_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bfloat16_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bfloat16_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bfloat16_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bfloat16_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bfloat16_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bfloat16_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bfloat16_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_bool_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex128_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_complex64_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float16_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float32_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_float64_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int16_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int32_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_tensor_vs_scalar_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_add_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_mul_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_sub_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_ternary_out_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_transpose_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unsigned_cpu 2025-07-17T09:13:08.4507186Z 2025-07-17T09:13:11.7244406Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:13:11.7247303Z import pkg_resources 2025-07-17T09:13:11.8560689Z Running test_jit_autocast 1/1 ... [2025-07-17 09:13:11.855577] 2025-07-17T09:13:11.8561387Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:13:11.8563704Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_jit_autocast.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:13:11.855991] 2025-07-17T09:13:38.9721551Z 2025-07-17T09:13:38.9724475Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_7486a4f1c59b1704_.log 2025-07-17T09:13:38.9762434Z Running 54 items in this shard: test/test_jit_autocast.py::TestAutocast::test_autocast_api, test/test_jit_autocast.py::TestAutocast::test_autocast_api_not_supported, test/test_jit_autocast.py::TestAutocast::test_autocast_autodiff, test/test_jit_autocast.py::TestAutocast::test_autocast_decorator, test/test_jit_autocast.py::TestAutocast::test_autocast_decorator_outside_jit, test/test_jit_autocast.py::TestAutocast::test_autocast_mixed_dtypes, test/test_jit_autocast.py::TestAutocast::test_callees, test/test_jit_autocast.py::TestAutocast::test_callees_with_autocast_off, test/test_jit_autocast.py::TestAutocast::test_callees_with_autocast_on, test/test_jit_autocast.py::TestAutocast::test_conditional_autocast, test/test_jit_autocast.py::TestAutocast::test_control_flow, test/test_jit_autocast.py::TestAutocast::test_divergent_autocast, test/test_jit_autocast.py::TestAutocast::test_divergent_types, test/test_jit_autocast.py::TestAutocast::test_duplicate_inputs, test/test_jit_autocast.py::TestAutocast::test_eager_and_script, test/test_jit_autocast.py::TestAutocast::test_explicit_casts, test/test_jit_autocast.py::TestAutocast::test_fp32_policy, test/test_jit_autocast.py::TestAutocast::test_fp32_policy_with_fp64, test/test_jit_autocast.py::TestAutocast::test_fp32_set_opt_dtype_policy, test/test_jit_autocast.py::TestAutocast::test_fp32_set_opt_dtype_policy_fp64, test/test_jit_autocast.py::TestAutocast::test_ignore_amp, test/test_jit_autocast.py::TestAutocast::test_implicitly_nested_autocast, test/test_jit_autocast.py::TestAutocast::test_inplace, test/test_jit_autocast.py::TestAutocast::test_jit_autocast_softmax_cpu, test/test_jit_autocast.py::TestAutocast::test_jit_autocast_softmax_gpu, test/test_jit_autocast.py::TestAutocast::test_jit_call_method_under_autocast, test/test_jit_autocast.py::TestAutocast::test_jit_executor_under_autocast, test/test_jit_autocast.py::TestAutocast::test_jit_freeze_autocast_basic, test/test_jit_autocast.py::TestAutocast::test_jit_freeze_autocast_constants, test/test_jit_autocast.py::TestAutocast::test_jit_generic_autocast, test/test_jit_autocast.py::TestAutocast::test_linear_bf16, test/test_jit_autocast.py::TestAutocast::test_minimal, test/test_jit_autocast.py::TestAutocast::test_minimal_cpu, test/test_jit_autocast.py::TestAutocast::test_minimal_off, test/test_jit_autocast.py::TestAutocast::test_nested_autocast, test/test_jit_autocast.py::TestAutocast::test_promote_policy, test/test_jit_autocast.py::TestAutocast::test_promote_policy_fp64, test/test_jit_autocast.py::TestAutocast::test_reused_autocast, test/test_jit_autocast.py::TestAutocast::test_reused_autocast_expr, test/test_jit_autocast.py::TestAutocast::test_runtime_autocast_state, test/test_jit_autocast.py::TestAutocast::test_runtime_autocast_state_expr, test/test_jit_autocast.py::TestAutocast::test_script_and_tracing, test/test_jit_autocast.py::TestAutocast::test_script_and_tracing_with_autocast, test/test_jit_autocast.py::TestAutocast::test_script_module, test/test_jit_autocast.py::TestAutocast::test_tracing_and_script, test/test_jit_autocast.py::TestAutocast::test_tracing_with_autocast_and_script, test/test_jit_autocast.py::TestJitTraceAutocast::test_cat_promote, test/test_jit_autocast.py::TestJitTraceAutocast::test_generate_autocast_jit_trace_model, test/test_jit_autocast.py::TestJitTraceAutocast::test_nchw_autocast_jit_trace_model, test/test_jit_autocast.py::TestJitTraceAutocast::test_nhwc_autocast_jit_trace_model, test/test_jit_autocast.py::TestJitTraceAutocast::test_script_autocast_cpu, test/test_jit_autocast.py::TestJitTraceAutocast::test_script_autocast_cuda, test/test_jit_autocast.py::TestJitTraceAutocast::test_script_autocast_enable_and_check, test/test_jit_autocast.py::TestJitTraceAutocast::test_scripted_aliasing 2025-07-17T09:13:38.9800089Z 2025-07-17T09:13:43.7888273Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:13:43.7891514Z import pkg_resources 2025-07-17T09:13:43.9776094Z Running profiler/test_record_function 1/1 ... [2025-07-17 09:13:43.977130] 2025-07-17T09:13:43.9777186Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:13:43.9783648Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_record_function.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:13:43.977914] 2025-07-17T09:13:49.0103333Z 2025-07-17T09:13:49.0105174Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_ec07835f78be6248_.log 2025-07-17T09:13:49.0109696Z Running 4 items in this shard: test/profiler/test_record_function.py::TestRecordFunction::test_datapipe_delegation_with_profiler, test/profiler/test_record_function.py::TestRecordFunction::test_datapipe_with_record_function, test/profiler/test_record_function.py::TestRecordFunction::test_datapipe_with_record_function_fork, test/profiler/test_record_function.py::TestRecordFunction::test_record_function 2025-07-17T09:13:49.0112918Z 2025-07-17T09:13:53.8318703Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:13:53.8321759Z import pkg_resources 2025-07-17T09:13:54.0171658Z Running test_prims 1/1 ... [2025-07-17 09:13:54.016466] 2025-07-17T09:13:54.0172434Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:13:54.0178964Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_prims.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:13:54.017361] 2025-07-17T09:14:01.1029446Z 2025-07-17T09:14:01.1030717Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_50c27d9f5c6eebb3_.log 2025-07-17T09:14:01.1050186Z Running 24 items in this shard: test/test_prims.py::TestPrimsBasic::test_check_deprecation_warning, test/test_prims.py::TestPrimsBasic::test_clone_complex, test/test_prims.py::TestPrimsBasic::test_mul_complex, test/test_prims.py::TestPrimsBasic::test_torch_ops, test/test_prims.py::TestPrimsCPU::test_aten_overload_to_prims_cpu, test/test_prims.py::TestPrimsCPU::test_broadcast_in_dim_cpu_float32, test/test_prims.py::TestPrimsCPU::test_broadcast_in_dim_sum_cpu_float32, test/test_prims.py::TestPrimsCPU::test_cbrt_prim_cpu_float64, test/test_prims.py::TestPrimsCPU::test_cbrt_prim_cpu_int64, test/test_prims.py::TestPrimsCPU::test_collapse_cpu_float32, test/test_prims.py::TestPrimsCPU::test_functional_rng_wrappers_cpu_float32, test/test_prims.py::TestPrimsCPU::test_memory_format_strides_cpu_float32, test/test_prims.py::TestPrimsCPU::test_philox_rand_cpu_float32, test/test_prims.py::TestPrimsCPU::test_reshape_view_method_cpu_float32, test/test_prims.py::TestPrimsCPU::test_var_correction_0_cpu_float32, test/test_prims.py::TestPrimsCPU::test_var_correction_1_cpu_float32, test/test_prims.py::TestRefsCPU::test_constant_pad_nd_memory_format_cpu_float32, test/test_prims.py::TestRefsCPU::test_inferred_tags_cpu, test/test_prims.py::TestRefsCPU::test_infinite_loop_from_py_dispatcher_cpu, test/test_prims.py::TestRefsCPU::test_linspace_with_complex_input_cpu, test/test_prims.py::TestRefsCPU::test_logspace_with_complex_input_cpu, test/test_prims.py::TestRefsCPU::test_unbind_cpu, test/test_prims.py::TestDecompCPU::test_decomposition_method_vararg_ones_cpu_float32, test/test_prims.py::TestDecompCPU::test_decomposition_method_vararg_permute_cpu_float32 2025-07-17T09:14:01.1064237Z 2025-07-17T09:14:06.2937106Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:14:06.2940653Z import pkg_resources 2025-07-17T09:14:06.4991123Z Running lazy/test_reuse_ir 1/1 ... [2025-07-17 09:14:06.498558] 2025-07-17T09:14:06.4991963Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:14:06.4998421Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:14:06.499238] 2025-07-17T09:14:11.3391182Z 2025-07-17T09:14:11.3392683Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_3b6b70d806080333_.log 2025-07-17T09:14:11.3396605Z Running 4 items in this shard: test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAdd, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAddSub, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAddSubFallback, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testBatchNorm 2025-07-17T09:14:11.3399574Z 2025-07-17T09:14:14.7141009Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:14:14.7144263Z import pkg_resources 2025-07-17T09:14:14.8453136Z Running profiler/test_execution_trace 1/1 ... [2025-07-17 09:14:14.844645] 2025-07-17T09:14:14.8455391Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:14:14.8457675Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_execution_trace.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:14:14.845095] 2025-07-17T09:14:18.9175798Z 2025-07-17T09:14:18.9177692Z profiler/test_execution_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_execution_trace_1.1_8b51e303df244546_.log 2025-07-17T09:14:18.9190756Z Running 12 items in this shard: test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_alone_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_env_disabled_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_env_enabled_with_kineto_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_env_enabled_with_pt2_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_nested_tensor_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_no_capture_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_record_integral_tensor_data_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_record_integral_tensor_range_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_repeat_in_loop_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_start_stop_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_with_kineto_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_with_pt2_cpu 2025-07-17T09:14:18.9204709Z 2025-07-17T09:14:22.4878804Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:14:22.4881967Z import pkg_resources 2025-07-17T09:14:22.6178628Z Running profiler/test_torch_tidy 1/1 ... [2025-07-17 09:14:22.617102] 2025-07-17T09:14:22.6179403Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:14:22.6180790Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:14:22.617507] 2025-07-17T09:14:32.0570425Z 2025-07-17T09:14:32.0572058Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_a7424b436d9dc101_.log 2025-07-17T09:14:32.0591900Z Running 22 items in this shard: test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocation_id_uniqueness, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocation_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocation_ids_with_other_ops, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocations, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_extra_fields, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_impl_reuse, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_mkldnn_tensors, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_nnmodule_params, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_optimizer, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_optimizer_parameters_adam, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_optimizer_parameters_sgd, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_pointers_and_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_refcounts, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_scalar_ins, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_sparse_tensors, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensor_lists, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensor_properties, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_full, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_keep_alive, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_scalar_args, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_set 2025-07-17T09:14:32.0612147Z 2025-07-17T09:14:35.5595039Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:14:35.5598814Z import pkg_resources 2025-07-17T09:14:35.6871543Z Running test_rename_privateuse1_to_existing_device 1/1 ... [2025-07-17 09:14:35.686603] 2025-07-17T09:14:35.6872566Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:14:35.6874963Z Executing ['/opt/conda/envs/py_3.13/bin/python', '-bb', 'test_rename_privateuse1_to_existing_device.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-07-17 09:14:35.687017] 2025-07-17T09:14:40.0747076Z 2025-07-17T09:14:40.0748801Z test_rename_privateuse1_to_existing_device 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_rename_privateuse1_to_existing_device_1.1_d0267713ce2b8aac_.log 2025-07-17T09:14:40.0751459Z Running 1 items in this shard: test/test_rename_privateuse1_to_existing_device.py::TestRenamePrivateuseoneToExistingBackend::test_external_module_register_with_existing_backend 2025-07-17T09:14:40.0752477Z 2025-07-17T09:14:44.7603788Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:14:44.7606833Z import pkg_resources 2025-07-17T09:15:10.1682658Z 2025-07-17T09:15:10.1684164Z test_sparse_csr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.1_486edec345128ab8_.log 2025-07-17T09:15:10.5715766Z Running 4709 items in this shard: test/test_sparse_csr.py::TestSparseCSRSampler::test_make_crow_indices, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSC_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSC_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSR_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSR_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSC_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSC_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSC_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_dense_result_SparseCSC_cpu_float64, 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test/test_sparse_csr.py::TestSparseCSRCPU::test_csr_nnz_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_csr_storage_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_csr_stride_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_csr_to_block_csr_blocksize_2_cpu_float64_int32, test/test_sparse_csr.py::TestSparseCSRCPU::test_csr_to_block_csr_blocksize_2_cpu_float64_int64, test/test_sparse_csr.py::TestSparseCSRCPU::test_csr_to_block_csr_blocksize_4_cpu_float64_int32, test/test_sparse_csr.py::TestSparseCSRCPU::test_csr_to_block_csr_blocksize_4_cpu_float64_int64, test/test_sparse_csr.py::TestSparseCSRCPU::test_csr_to_block_csr_errors_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseBSC_Batched_Hybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseBSC_Batched_NonHybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseBSC_NonBatched_Hybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseBSC_NonBatched_NonHybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseBSR_Batched_Hybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseBSR_Batched_NonHybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseBSR_NonBatched_Hybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseBSR_NonBatched_NonHybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseCSC_Batched_Hybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseCSC_Batched_NonHybrid_cpu, test/test_sparse_csr.py::TestSparseCSRCPU::test_dense_to_from_sparse_compressed_SparseCSC_NonBatched_Hybrid_cpu, 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test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_as_sparse_compressed_SparseCSR_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_cpu_bfloat16, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_cpu_bool, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_cpu_float16, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_cpu_int16, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_cpu_int32, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_cpu_int64, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_cpu_int8, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_cpu_uint8, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_bfloat16, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_bool, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_float16, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_int16, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_int32, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_int64, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_int8, test/test_sparse_csr.py::TestSparseCSRCPU::test_resize_errors_cpu_uint8, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_autograd_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_sampled_addmm_autograd_cpu_complex64, 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test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_complex64, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_float16, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_float32, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_float64, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_int16, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_int32, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_int64, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_int8, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_uint8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_TensorAsKey, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_bsr_dense_addmm_meta, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_bsr_dense_bmm, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_bsr_dense_bmm_error_messages, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_bsr_scatter_mm, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_bsr_softmax, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_kernel, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_sampled_addmm, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_scaled_dot_product_attention, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_scatter_mm, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_tune 2025-07-17T09:15:10.9639691Z 2025-07-17T09:15:14.9292656Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:15:14.9295696Z import pkg_resources 2025-07-17T09:19:06.6328771Z 2025-07-17T09:19:06.6329673Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_e357c3c33217b07d_.log 2025-07-17T09:19:07.6349548Z Running 24601 items in this shard: test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_angle_complex_to_float_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_angle_complex_to_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_big_number_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_signed_zero_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_signed_zero_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_zero_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_zero_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_log_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_bool, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_abs_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_acosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_uint8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_digamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_double_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_erfinv_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_exp_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_expm1_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_fill_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_fill_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_fill_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_fill_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_fill_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_fill_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_float_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_floor_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_floor_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_floor_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_floor_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_floor_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_floor_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_floor_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_floor_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_floor_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_frac_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_frac_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_frac_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_frac_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_frexp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_frexp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_frexp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_frexp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_half_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_imag_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_imag_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_imag_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isneginf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isneginf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isneginf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isneginf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isneginf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isneginf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isneginf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isneginf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isneginf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isneginf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_neg_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_neg_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_neg_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_uint8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_complex64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_tanh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_special_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_special_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_slow_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_ndtri_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_ndtri_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_special_ndtri_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_special_ndtri_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_assert_raises_cpu, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardswish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardswish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardswish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_special_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_special_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_special_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_float64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_isreal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_complex128, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_neg_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_round_decimals_neg_3_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_sinh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_tanh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_reference_numerics_small_trunc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_sinc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_i0_i1_vs_scipy_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_i0_i1_vs_scipy_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_i0_i1_vs_scipy_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_log_ndtr_vs_scipy_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_log_ndtr_vs_scipy_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_ndtr_vs_scipy_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_special_ndtr_vs_scipy_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_unary_out_op_mem_overlap_cpu_float64 2025-07-17T09:19:08.6115613Z 2025-07-17T09:19:08.6115832Z Running test batch 'tests to run' cost 7857.54 seconds 2025-07-17T09:19:28.0798060Z 2025-07-17T09:19:28.0798455Z real 131m22.137s 2025-07-17T09:19:28.0798744Z user 485m19.944s 2025-07-17T09:19:28.0798965Z sys 34m13.703s 2025-07-17T09:19:28.0825491Z + assert_git_not_dirty 2025-07-17T09:19:28.0836005Z + [[ linux-jammy-py3.13-clang12 != *rocm* ]] 2025-07-17T09:19:28.0843983Z + [[ linux-jammy-py3.13-clang12 != *xla* ]] 2025-07-17T09:19:28.0856856Z ++ git status --porcelain 2025-07-17T09:19:28.0858470Z ++ grep -v '?? third_party' 2025-07-17T09:20:10.0210617Z ++ true 2025-07-17T09:20:10.0244572Z + git_status= 2025-07-17T09:20:10.0244873Z + [[ -n '' ]] 2025-07-17T09:20:10.0245281Z + test_aten 2025-07-17T09:20:10.0251057Z + echo 'Running ATen tests with pytorch lib' 2025-07-17T09:20:10.0251526Z Running ATen tests with pytorch lib 2025-07-17T09:20:10.0251972Z + [[ -n '' ]] 2025-07-17T09:20:10.0252289Z + echo 'Running test with the build folder' 2025-07-17T09:20:10.0252744Z Running test with the build folder 2025-07-17T09:20:10.0253083Z + TEST_BASE_DIR=build/bin 2025-07-17T09:20:10.0253561Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libc10.so build/bin 2025-07-17T09:20:10.0283640Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libcaffe2*' build/bin 2025-07-17T09:20:10.0310719Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libmkldnn*' build/bin 2025-07-17T09:20:10.0322122Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libnccl*' build/bin 2025-07-17T09:20:10.0341862Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorchbind_test.so build/bin 2025-07-17T09:20:10.0350936Z + ls build/bin 2025-07-17T09:20:10.0412492Z BackoffTest cpu_allocator_test 2025-07-17T09:20:10.0413108Z CMakeFiles cpu_generator_test 2025-07-17T09:20:10.0413795Z CTestTestfile.cmake cpu_profiling_allocator_test 2025-07-17T09:20:10.0414521Z CppSignature_test cpu_rng_test 2025-07-17T09:20:10.0414989Z Dict_test dlconvertor_test 2025-07-17T09:20:10.0415549Z Dimname_test example_allreduce 2025-07-17T09:20:10.0416193Z FileStoreTest extension_backend_test 2025-07-17T09:20:10.0416539Z HashStoreTest half_test 2025-07-17T09:20:10.0417023Z IListRef_test inline_container_test 2025-07-17T09:20:10.0417385Z KernelFunction_test ivalue_test 2025-07-17T09:20:10.0417734Z List_test kernel_function_legacy_test 2025-07-17T09:20:10.0418160Z MaybeOwned_test kernel_function_test 2025-07-17T09:20:10.0418555Z NamedTensor_test kernel_lambda_legacy_test 2025-07-17T09:20:10.0418968Z ProcessGroupGlooTest kernel_lambda_test 2025-07-17T09:20:10.0419444Z StorageUtils_test kernel_stackbased_test 2025-07-17T09:20:10.0419820Z TCPStoreTest lazy_tensor_test 2025-07-17T09:20:10.0420180Z aot_model_compiler_test legacy_vmap_test 2025-07-17T09:20:10.0420526Z apply_utils_test libc10.so 2025-07-17T09:20:10.0420841Z atest 'libcaffe2*' 2025-07-17T09:20:10.0421152Z backend_fallback_test 'libmkldnn*' 2025-07-17T09:20:10.0421466Z basic 'libnccl*' 2025-07-17T09:20:10.0421753Z broadcast_test libtorch.so 2025-07-17T09:20:10.0422086Z c10_ArrayRef_test libtorch_cpu.so 2025-07-17T09:20:10.0422975Z c10_Bitset_test libtorch_global_deps.so 2025-07-17T09:20:10.0423409Z c10_CompileTimeFunctionPointer_test libtorch_python.so 2025-07-17T09:20:10.0423862Z c10_ConstexprCrc_test libtorchbind_test.so 2025-07-17T09:20:10.0424502Z c10_DeadlockDetection_test make_boxed_from_unboxed_functor_test 2025-07-17T09:20:10.0425038Z c10_DeviceGuard_test math_kernel_test 2025-07-17T09:20:10.0425405Z c10_Device_test memory_format_test 2025-07-17T09:20:10.0425803Z c10_DispatchKeySet_test memory_overlapping_test 2025-07-17T09:20:10.0426201Z c10_Enumerate_test mobile_memory_cleanup 2025-07-17T09:20:10.0426553Z c10_Half_test native_test 2025-07-17T09:20:10.0426912Z c10_InlineDeviceGuard_test op_allowlist_test 2025-07-17T09:20:10.0427327Z c10_InlineStreamGuard_test op_registration_test 2025-07-17T09:20:10.0427745Z c10_IntrusiveList_test operator_name_test 2025-07-17T09:20:10.0428128Z c10_LeftRight_test operators_test 2025-07-17T09:20:10.0428528Z c10_Metaprogramming_test packedtensoraccessor_test 2025-07-17T09:20:10.0428964Z c10_NetworkFlow_test parallel_benchmark 2025-07-17T09:20:10.0429319Z c10_Scalar_test pow_test 2025-07-17T09:20:10.0429635Z c10_Semaphore_test protoc 2025-07-17T09:20:10.0429980Z c10_SizesAndStrides_test protoc-3.13.0.0 2025-07-17T09:20:10.0430356Z c10_StreamGuard_test quantized_test 2025-07-17T09:20:10.0430705Z c10_SymInt_test reduce_ops_test 2025-07-17T09:20:10.0431089Z c10_Synchronized_test reportMemoryUsage_test 2025-07-17T09:20:10.0431479Z c10_ThreadLocal_test scalar_tensor_test 2025-07-17T09:20:10.0431836Z c10_TypeIndex_test scalar_test 2025-07-17T09:20:10.0432189Z c10_TypeList_test static_runtime_bench 2025-07-17T09:20:10.0432557Z c10_TypeTraits_test static_runtime_test 2025-07-17T09:20:10.0432945Z c10_accumulate_test stride_properties_test 2025-07-17T09:20:10.0433342Z c10_bfloat16_test tensor_iterator_test 2025-07-17T09:20:10.0433693Z c10_bit_cast_test test_api 2025-07-17T09:20:10.0434006Z c10_complex_math_test test_cpp_rpc 2025-07-17T09:20:10.0434358Z c10_complex_test test_dist_autograd 2025-07-17T09:20:10.0434694Z c10_cow_test test_jit 2025-07-17T09:20:10.0434990Z c10_error_test test_lazy 2025-07-17T09:20:10.0435303Z c10_exception_test test_mobile_nnc 2025-07-17T09:20:10.0435645Z c10_flags_test test_nativert 2025-07-17T09:20:10.0435981Z c10_generic_math_test test_parallel 2025-07-17T09:20:10.0436341Z c10_intrusive_ptr_benchmark test_tensorexpr 2025-07-17T09:20:10.0436736Z c10_intrusive_ptr_test thread_init_test 2025-07-17T09:20:10.0437095Z c10_irange_test torch_shm_manager 2025-07-17T09:20:10.0437443Z c10_lazy_test tutorial_tensorexpr 2025-07-17T09:20:10.0437785Z c10_logging_test type_ptr_test 2025-07-17T09:20:10.0438098Z c10_optional_test type_test 2025-07-17T09:20:10.0438492Z c10_ordered_preserving_dict_test undefined_tensor_test 2025-07-17T09:20:10.0438933Z c10_registry_test vec_test_all_types_AVX2 2025-07-17T09:20:10.0439336Z c10_small_vector_test vec_test_all_types_AVX512 2025-07-17T09:20:10.0439749Z c10_ssize_test vec_test_all_types_DEFAULT 2025-07-17T09:20:10.0440130Z c10_string_util_test verify_api_visibility 2025-07-17T09:20:10.0440499Z c10_string_view_test weakref_test 2025-07-17T09:20:10.0440837Z c10_tempfile_test wrapdim_test 2025-07-17T09:20:10.0441164Z c10_typeid_test xla_tensor_test 2025-07-17T09:20:10.0441466Z cmake_install.cmake 2025-07-17T09:20:10.0441737Z + aten/tools/run_tests.sh build/bin 2025-07-17T09:20:10.0462329Z + set -e 2025-07-17T09:20:10.0465212Z ++ dirname aten/tools/run_tests.sh 2025-07-17T09:20:10.0491384Z + VALGRIND_SUP=/var/lib/jenkins/workspace/aten/tools/valgrind.sup 2025-07-17T09:20:10.0492094Z + export CPP_TESTS_DIR=build/bin 2025-07-17T09:20:10.0492551Z + CPP_TESTS_DIR=build/bin 2025-07-17T09:20:10.0492857Z + VALGRIND=ON 2025-07-17T09:20:10.0496274Z + python test/run_test.py --cpp --verbose -i cpp/basic cpp/atest cpp/scalar_test cpp/broadcast_test cpp/wrapdim_test cpp/apply_utils_test cpp/dlconvertor_test cpp/native_test cpp/scalar_tensor_test cpp/undefined_tensor_test cpp/extension_backend_test cpp/lazy_tensor_test cpp/tensor_iterator_test cpp/Dimname_test cpp/Dict_test cpp/NamedTensor_test cpp/cpu_generator_test cpp/legacy_vmap_test cpp/operators_test 2025-07-17T09:20:12.3991305Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:20:12.3992862Z import pkg_resources 2025-07-17T09:20:13.8567532Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-07-17T09:20:13.8897771Z Found test times from artifacts 2025-07-17T09:20:14.0171698Z Found test times from artifacts 2025-07-17T09:20:14.0209891Z Running all tests 2025-07-17T09:20:14.0214679Z Running parallel tests on 3 processes 2025-07-17T09:20:14.0216019Z Name: tests to run (est. time: 0.0min) 2025-07-17T09:20:14.0216472Z Serial tests (0): 2025-07-17T09:20:14.0216726Z Parallel tests (19): 2025-07-17T09:20:14.0216974Z cpp/Dict_test 1/1 2025-07-17T09:20:14.0217233Z cpp/Dimname_test 1/1 2025-07-17T09:20:14.0217510Z cpp/NamedTensor_test 1/1 2025-07-17T09:20:14.0217804Z cpp/apply_utils_test 1/1 2025-07-17T09:20:14.0218067Z cpp/atest 1/1 2025-07-17T09:20:14.0218301Z cpp/basic 1/1 2025-07-17T09:20:14.0218551Z cpp/broadcast_test 1/1 2025-07-17T09:20:14.0218822Z cpp/cpu_generator_test 1/1 2025-07-17T09:20:14.0219117Z cpp/dlconvertor_test 1/1 2025-07-17T09:20:14.0219483Z cpp/extension_backend_test 1/1 2025-07-17T09:20:14.0219781Z cpp/lazy_tensor_test 1/1 2025-07-17T09:20:14.0220066Z cpp/legacy_vmap_test 1/1 2025-07-17T09:20:14.0220406Z cpp/native_test 1/1 2025-07-17T09:20:14.0220719Z cpp/operators_test 1/1 2025-07-17T09:20:14.0221046Z cpp/scalar_tensor_test 1/1 2025-07-17T09:20:14.0221370Z cpp/scalar_test 1/1 2025-07-17T09:20:14.0221699Z cpp/tensor_iterator_test 1/1 2025-07-17T09:20:14.0221994Z cpp/undefined_tensor_test 1/1 2025-07-17T09:20:14.0222302Z cpp/wrapdim_test 1/1 2025-07-17T09:20:14.0222580Z Name: excluded (est. time: 0.0min) 2025-07-17T09:20:14.0222863Z Serial tests (0): 2025-07-17T09:20:14.0223111Z Parallel tests (0): 2025-07-17T09:20:14.0223443Z Running cpp/Dict_test 1/1 ... [2025-07-17 09:20:14.021996] 2025-07-17T09:20:14.0223830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:14.0235281Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-20e529d3b63c163b.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:14.023270] 2025-07-17T09:20:16.1923753Z 2025-07-17T09:20:16.1925010Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_75215e92eb31ad81_.log 2025-07-17T09:20:16.1926015Z 2025-07-17T09:20:18.4566781Z Uploading artifacts took 2.26 seconds 2025-07-17T09:20:18.4567272Z Running cpp/Dimname_test 1/1 ... [2025-07-17 09:20:18.456455] 2025-07-17T09:20:18.4567689Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:18.4571764Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-79dd88b2fd0120b2.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:18.456909] 2025-07-17T09:20:20.0249826Z 2025-07-17T09:20:20.0250747Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_e2a130f5c443625e_.log 2025-07-17T09:20:20.0251653Z 2025-07-17T09:20:20.0251859Z Running cpp/NamedTensor_test 1/1 ... [2025-07-17 09:20:20.024793] 2025-07-17T09:20:20.0252311Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:20.0254315Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2f9823733d36e52a.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:20.025178] 2025-07-17T09:20:21.5922620Z 2025-07-17T09:20:21.5923737Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_8d22502a6481ed44_.log 2025-07-17T09:20:21.5924498Z 2025-07-17T09:20:21.5924756Z Running cpp/apply_utils_test 1/1 ... [2025-07-17 09:20:21.592147] 2025-07-17T09:20:21.5925192Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:21.5927999Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-21924842b2dbed43.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:21.592551] 2025-07-17T09:20:23.1594809Z 2025-07-17T09:20:23.1595951Z cpp/apply_utils_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.apply_utils_test_1.1_03b3e85edc9f925e_.log 2025-07-17T09:20:23.1596670Z 2025-07-17T09:20:23.1596861Z Running cpp/atest 1/1 ... [2025-07-17 09:20:23.159418] 2025-07-17T09:20:23.1597236Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:23.1600466Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-f9515bc697324453.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:23.159813] 2025-07-17T09:20:24.6769684Z 2025-07-17T09:20:24.6771073Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_8dc6784f1cbe89fc_.log 2025-07-17T09:20:24.6772071Z 2025-07-17T09:20:24.6772309Z Running cpp/basic 1/1 ... [2025-07-17 09:20:24.676843] 2025-07-17T09:20:24.6772888Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:24.6776504Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-0bd4a6f86f2a06d4.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:24.677306] 2025-07-17T09:20:26.2444890Z 2025-07-17T09:20:26.2446899Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_1d478c87313f06e6_.log 2025-07-17T09:20:26.2447545Z 2025-07-17T09:20:26.2447763Z Running cpp/broadcast_test 1/1 ... [2025-07-17 09:20:26.244361] 2025-07-17T09:20:26.2448237Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:26.2450532Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-28a9e53752d1074c.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:26.244795] 2025-07-17T09:20:27.8119735Z 2025-07-17T09:20:27.8121162Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_89294ab950b9d700_.log 2025-07-17T09:20:27.8121847Z 2025-07-17T09:20:27.8122062Z Running cpp/cpu_generator_test 1/1 ... [2025-07-17 09:20:27.811839] 2025-07-17T09:20:27.8122500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:27.8125540Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-558d995c13f9cbe8.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:27.812247] 2025-07-17T09:20:29.3792880Z 2025-07-17T09:20:29.3794201Z cpp/cpu_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cpu_generator_test_1.1_6de6c936ea39fc45_.log 2025-07-17T09:20:29.3794895Z 2025-07-17T09:20:29.3795136Z Running cpp/dlconvertor_test 1/1 ... [2025-07-17 09:20:29.379229] 2025-07-17T09:20:29.3795716Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:29.3798980Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-4c279fd18cd37d1a.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:29.379608] 2025-07-17T09:20:30.9466445Z 2025-07-17T09:20:30.9467515Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_60665bd6ff80568c_.log 2025-07-17T09:20:30.9468257Z 2025-07-17T09:20:30.9468510Z Running cpp/extension_backend_test 1/1 ... [2025-07-17 09:20:30.946524] 2025-07-17T09:20:30.9469028Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:30.9472071Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6031d2a174baf3f9.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:30.946915] 2025-07-17T09:20:32.4639700Z 2025-07-17T09:20:32.4641074Z cpp/extension_backend_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.extension_backend_test_1.1_e172a1dc301c1cb7_.log 2025-07-17T09:20:32.4641819Z 2025-07-17T09:20:32.4642041Z Running cpp/lazy_tensor_test 1/1 ... [2025-07-17 09:20:32.463817] 2025-07-17T09:20:32.4642502Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:32.4644696Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-71cded144d885f7e.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:32.464218] 2025-07-17T09:20:34.0312877Z 2025-07-17T09:20:34.0314429Z cpp/lazy_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.lazy_tensor_test_1.1_44e4e86e2d1eed81_.log 2025-07-17T09:20:34.0315112Z 2025-07-17T09:20:34.0315361Z Running cpp/legacy_vmap_test 1/1 ... [2025-07-17 09:20:34.031154] 2025-07-17T09:20:34.0315805Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:34.0318143Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6d627328252d6c93.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:34.031560] 2025-07-17T09:20:35.5987480Z 2025-07-17T09:20:35.5988687Z cpp/legacy_vmap_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.legacy_vmap_test_1.1_5c2603c173aa060b_.log 2025-07-17T09:20:35.5989444Z 2025-07-17T09:20:35.5989659Z Running cpp/native_test 1/1 ... [2025-07-17 09:20:35.598652] 2025-07-17T09:20:35.5990079Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:35.5993127Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c4889e7a8e84b530.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:35.599050] 2025-07-17T09:20:37.1664180Z 2025-07-17T09:20:37.1665074Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_a85e979becb532a4_.log 2025-07-17T09:20:37.1665766Z 2025-07-17T09:20:37.1666015Z Running cpp/operators_test 1/1 ... [2025-07-17 09:20:37.166232] 2025-07-17T09:20:37.1666442Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:37.1668872Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c19c15df703323ac.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:37.166634] 2025-07-17T09:20:38.7339422Z 2025-07-17T09:20:38.7340668Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_a50433411f67e3d2_.log 2025-07-17T09:20:38.7341610Z 2025-07-17T09:20:38.7341885Z Running cpp/scalar_tensor_test 1/1 ... [2025-07-17 09:20:38.733820] 2025-07-17T09:20:38.7342309Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:38.7344909Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6491c31b42d8b5d9.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:38.734245] 2025-07-17T09:20:40.3013692Z 2025-07-17T09:20:40.3015206Z cpp/scalar_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_tensor_test_1.1_29747c4565b6d190_.log 2025-07-17T09:20:40.3015929Z 2025-07-17T09:20:40.3016118Z Running cpp/scalar_test 1/1 ... [2025-07-17 09:20:40.301265] 2025-07-17T09:20:40.3016537Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:40.3019420Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-33ccad44ae581cae.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:40.301658] 2025-07-17T09:20:41.9188794Z 2025-07-17T09:20:41.9189946Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_c6e6cda900842a1e_.log 2025-07-17T09:20:41.9190584Z 2025-07-17T09:20:41.9190817Z Running cpp/tensor_iterator_test 1/1 ... [2025-07-17 09:20:41.918772] 2025-07-17T09:20:41.9191256Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:41.9194280Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-0ca3befec28e28d8.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:41.919170] 2025-07-17T09:20:43.5363682Z 2025-07-17T09:20:43.5365323Z cpp/tensor_iterator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.tensor_iterator_test_1.1_dcc1653980222c54_.log 2025-07-17T09:20:43.5366499Z 2025-07-17T09:20:43.5366877Z Running cpp/undefined_tensor_test 1/1 ... [2025-07-17 09:20:43.536212] 2025-07-17T09:20:43.5367590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:43.5370060Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-ee626bcece4ec619.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:43.536664] 2025-07-17T09:20:45.1040720Z 2025-07-17T09:20:45.1041907Z cpp/undefined_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.undefined_tensor_test_1.1_7112f93e0712bbaa_.log 2025-07-17T09:20:45.1042742Z 2025-07-17T09:20:45.1042939Z Running cpp/wrapdim_test 1/1 ... [2025-07-17 09:20:45.103942] 2025-07-17T09:20:45.1043381Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:45.1046034Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2276f23049148a83.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:45.104343] 2025-07-17T09:20:46.6716426Z 2025-07-17T09:20:46.6717319Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_b4397a4804fb5019_.log 2025-07-17T09:20:46.6717968Z 2025-07-17T09:20:49.1584392Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:20:49.1586222Z import pkg_resources 2025-07-17T09:20:49.1757848Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:20:49.1760758Z import pkg_resources 2025-07-17T09:20:49.1772868Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:20:49.1775814Z import pkg_resources 2025-07-17T09:20:49.2904264Z Running cpp/Dict_test 1/1 ... [2025-07-17 09:20:49.290031] 2025-07-17T09:20:49.2905052Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:49.2908797Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dict_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-83bd01c50359f7e8.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:49.290522] 2025-07-17T09:20:49.3093454Z Running cpp/Dimname_test 1/1 ... [2025-07-17 09:20:49.308982] 2025-07-17T09:20:49.3094217Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:49.3098585Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/Dimname_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-61db0b8e7051ad34.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:49.309456] 2025-07-17T09:20:49.3130646Z Running cpp/NamedTensor_test 1/1 ... [2025-07-17 09:20:49.312824] 2025-07-17T09:20:49.3131406Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:49.3136853Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/NamedTensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-f280cff525377942.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:49.313319] 2025-07-17T09:20:52.6808056Z 2025-07-17T09:20:52.6809933Z cpp/Dimname_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dimname_test_1.1_eae18dafebd61217_.log 2025-07-17T09:20:52.6810979Z 2025-07-17T09:20:53.2356876Z 2025-07-17T09:20:53.2358753Z cpp/NamedTensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.NamedTensor_test_1.1_1e94c91c6f389af1_.log 2025-07-17T09:20:53.2360370Z 2025-07-17T09:20:56.4058602Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:20:56.4060275Z import pkg_resources 2025-07-17T09:20:56.5805566Z Running cpp/apply_utils_test 1/1 ... [2025-07-17 09:20:56.580093] 2025-07-17T09:20:56.5806379Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:56.5810719Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/apply_utils_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-cb5ed6905827310a.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:56.580623] 2025-07-17T09:20:57.0011151Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:20:57.0013743Z import pkg_resources 2025-07-17T09:20:57.1761006Z Running cpp/atest 1/1 ... [2025-07-17 09:20:57.175663] 2025-07-17T09:20:57.1761776Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:20:57.1768161Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/atest', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-21f3845256f9cf27.xml', '-x', '--reruns=2'] ... [2025-07-17 09:20:57.176248] 2025-07-17T09:20:57.2775279Z 2025-07-17T09:20:57.2776574Z cpp/Dict_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.Dict_test_1.1_d7c43544e8f01735_.log 2025-07-17T09:20:57.2777735Z 2025-07-17T09:20:59.6517302Z 2025-07-17T09:20:59.6518726Z cpp/apply_utils_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.apply_utils_test_1.1_5000085115e28679_.log 2025-07-17T09:20:59.6519909Z 2025-07-17T09:21:01.2790384Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:01.2792944Z import pkg_resources 2025-07-17T09:21:01.2995688Z 2025-07-17T09:21:01.2997216Z cpp/atest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.atest_1.1_17216df3ef179d87_.log 2025-07-17T09:21:01.2998321Z 2025-07-17T09:21:01.4105216Z Running cpp/basic 1/1 ... [2025-07-17 09:21:01.410139] 2025-07-17T09:21:01.4105910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:21:01.4110226Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/basic', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-38f04b2b3d79fc6f.xml', '-x', '--reruns=2'] ... [2025-07-17 09:21:01.410635] 2025-07-17T09:21:03.2319350Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:03.2321052Z import pkg_resources 2025-07-17T09:21:03.3989725Z Running cpp/broadcast_test 1/1 ... [2025-07-17 09:21:03.398587] 2025-07-17T09:21:03.3990557Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:21:03.4001590Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/broadcast_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-3595cafe9fbce052.xml', '-x', '--reruns=2'] ... [2025-07-17 09:21:03.399735] 2025-07-17T09:21:04.1805789Z 2025-07-17T09:21:04.1807277Z cpp/basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.basic_1.1_c276c013dd51bc27_.log 2025-07-17T09:21:04.1808395Z 2025-07-17T09:21:04.9881254Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:04.9884079Z import pkg_resources 2025-07-17T09:21:05.1201615Z Running cpp/cpu_generator_test 1/1 ... [2025-07-17 09:21:05.119735] 2025-07-17T09:21:05.1202170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:21:05.1205691Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/cpu_generator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-888db9dd02d56081.xml', '-x', '--reruns=2'] ... [2025-07-17 09:21:05.120264] 2025-07-17T09:21:05.8793675Z 2025-07-17T09:21:05.8796213Z cpp/broadcast_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.broadcast_test_1.1_0ea8853e46d77298_.log 2025-07-17T09:21:05.8797460Z 2025-07-17T09:21:08.2691526Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:08.2694407Z import pkg_resources 2025-07-17T09:21:08.4322859Z Running cpp/dlconvertor_test 1/1 ... [2025-07-17 09:21:08.431865] 2025-07-17T09:21:08.4323547Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:21:08.4328411Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/dlconvertor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c2120d87470b6a14.xml', '-x', '--reruns=2'] ... [2025-07-17 09:21:08.432469] 2025-07-17T09:21:08.5915834Z 2025-07-17T09:21:08.5917215Z cpp/cpu_generator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.cpu_generator_test_1.1_885ca15e07a3ec74_.log 2025-07-17T09:21:08.5918450Z 2025-07-17T09:21:09.6315856Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:09.6319112Z import pkg_resources 2025-07-17T09:21:09.7667224Z Running cpp/extension_backend_test 1/1 ... [2025-07-17 09:21:09.766283] 2025-07-17T09:21:09.7668053Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:21:09.7672509Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/extension_backend_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-d5cdb195011fbb18.xml', '-x', '--reruns=2'] ... [2025-07-17 09:21:09.766795] 2025-07-17T09:21:11.1524569Z 2025-07-17T09:21:11.1525973Z cpp/dlconvertor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.dlconvertor_test_1.1_93563c050aa5e4bd_.log 2025-07-17T09:21:11.1527202Z 2025-07-17T09:21:12.0362108Z 2025-07-17T09:21:12.0363647Z cpp/extension_backend_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.extension_backend_test_1.1_ff621ca1562c5525_.log 2025-07-17T09:21:12.0364387Z 2025-07-17T09:21:12.2096527Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:12.2098103Z import pkg_resources 2025-07-17T09:21:12.3411679Z Running cpp/lazy_tensor_test 1/1 ... [2025-07-17 09:21:12.340756] 2025-07-17T09:21:12.3412162Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:21:12.3416319Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/lazy_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-432f9b0acecbcd45.xml', '-x', '--reruns=2'] ... [2025-07-17 09:21:12.341322] 2025-07-17T09:21:14.5101929Z 2025-07-17T09:21:14.5104231Z cpp/lazy_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.lazy_tensor_test_1.1_74c5422d603d16b1_.log 2025-07-17T09:21:14.5105103Z 2025-07-17T09:21:14.6375934Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:14.6378765Z import pkg_resources 2025-07-17T09:21:14.7687413Z Running cpp/legacy_vmap_test 1/1 ... [2025-07-17 09:21:14.768321] 2025-07-17T09:21:14.7688231Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:21:14.7692511Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/legacy_vmap_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-b35236bd3708ed49.xml', '-x', '--reruns=2'] ... [2025-07-17 09:21:14.768803] 2025-07-17T09:21:15.5499256Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:15.5502198Z import pkg_resources 2025-07-17T09:21:15.7152861Z Running cpp/native_test 1/1 ... [2025-07-17 09:21:15.714577] 2025-07-17T09:21:15.7153666Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:21:15.7156749Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/native_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-2bd3a4aa107efc58.xml', '-x', '--reruns=2'] ... [2025-07-17 09:21:15.715155] 2025-07-17T09:21:18.3855902Z 2025-07-17T09:21:18.3857287Z cpp/native_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.native_test_1.1_fbb399bc4a280c13_.log 2025-07-17T09:21:18.3858487Z 2025-07-17T09:21:18.4975876Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:18.4978658Z import pkg_resources 2025-07-17T09:21:18.6334065Z Running cpp/operators_test 1/1 ... [2025-07-17 09:21:18.632976] 2025-07-17T09:21:18.6334697Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:21:18.6338956Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/operators_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-4156e9408d5fdc97.xml', '-x', '--reruns=2'] ... [2025-07-17 09:21:18.633512] 2025-07-17T09:21:19.8429102Z 2025-07-17T09:21:19.8430525Z cpp/legacy_vmap_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.legacy_vmap_test_1.1_b2bcc1e4b010da90_.log 2025-07-17T09:21:19.8431902Z 2025-07-17T09:21:21.2030688Z 2025-07-17T09:21:21.2032058Z cpp/operators_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.operators_test_1.1_865d4d36e068ec43_.log 2025-07-17T09:21:21.2032769Z 2025-07-17T09:21:21.9409951Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:21.9411536Z import pkg_resources 2025-07-17T09:21:22.0718311Z Running cpp/scalar_tensor_test 1/1 ... [2025-07-17 09:21:22.071422] 2025-07-17T09:21:22.0719113Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:21:22.0722520Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-9b0c55b285294945.xml', '-x', '--reruns=2'] ... [2025-07-17 09:21:22.071902] 2025-07-17T09:21:23.4784166Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:23.4787319Z import pkg_resources 2025-07-17T09:21:23.6091589Z Running cpp/scalar_test 1/1 ... [2025-07-17 09:21:23.608765] 2025-07-17T09:21:23.6092122Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:21:23.6095644Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/scalar_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-419c825ff02c6e54.xml', '-x', '--reruns=2'] ... [2025-07-17 09:21:23.609252] 2025-07-17T09:21:24.4409942Z 2025-07-17T09:21:24.4413053Z cpp/scalar_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_tensor_test_1.1_45f66d08d403d44e_.log 2025-07-17T09:21:24.4414345Z 2025-07-17T09:21:24.6684688Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:24.6687557Z import pkg_resources 2025-07-17T09:21:24.8030355Z Running cpp/tensor_iterator_test 1/1 ... [2025-07-17 09:21:24.802585] 2025-07-17T09:21:24.8031112Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:21:24.8036975Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/tensor_iterator_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-6bf873a17a53a5d3.xml', '-x', '--reruns=2'] ... [2025-07-17 09:21:24.803195] 2025-07-17T09:21:26.2792832Z 2025-07-17T09:21:26.2794162Z cpp/scalar_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.scalar_test_1.1_1f1b035c8ce86368_.log 2025-07-17T09:21:26.2795401Z 2025-07-17T09:21:28.1546980Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:28.1549987Z import pkg_resources 2025-07-17T09:21:28.3638999Z Running cpp/undefined_tensor_test 1/1 ... [2025-07-17 09:21:28.363432] 2025-07-17T09:21:28.3639832Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:21:28.3644826Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/undefined_tensor_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-c25bd5fba18273f2.xml', '-x', '--reruns=2'] ... [2025-07-17 09:21:28.364078] 2025-07-17T09:21:30.2409898Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:30.2412758Z import pkg_resources 2025-07-17T09:21:30.3733688Z Running cpp/wrapdim_test 1/1 ... [2025-07-17 09:21:30.372925] 2025-07-17T09:21:30.3734355Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:21:30.3738830Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/wrapdim_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-7ba944475a165b4b.xml', '-x', '--reruns=2'] ... [2025-07-17 09:21:30.373481] 2025-07-17T09:21:30.8836013Z 2025-07-17T09:21:30.8838643Z cpp/undefined_tensor_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.undefined_tensor_test_1.1_fc7014a9b350d0f4_.log 2025-07-17T09:21:30.8840905Z 2025-07-17T09:21:32.8432491Z 2025-07-17T09:21:32.8439442Z cpp/wrapdim_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.wrapdim_test_1.1_bdeea909e11b0b2e_.log 2025-07-17T09:21:32.8447965Z 2025-07-17T09:21:34.7407569Z 2025-07-17T09:21:34.7409360Z cpp/tensor_iterator_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.tensor_iterator_test_1.1_6c1ed7e411f39c8d_.log 2025-07-17T09:21:34.7410534Z 2025-07-17T09:21:34.8558178Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:34.8560996Z import pkg_resources 2025-07-17T09:21:36.3927648Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:21:36.3929219Z import pkg_resources 2025-07-17T09:21:37.3172515Z Running test batch 'tests to run' cost 83.3 seconds 2025-07-17T09:21:38.1919232Z + run_if_exists tensor_interop_test 2025-07-17T09:21:38.1919792Z + local test_name=tensor_interop_test 2025-07-17T09:21:38.1920283Z + [[ -x build/bin/tensor_interop_test ]] 2025-07-17T09:21:38.1920902Z + echo 'Warning: tensor_interop_test does not exist.' 2025-07-17T09:21:38.1921603Z Warning: tensor_interop_test does not exist. 2025-07-17T09:21:38.1922154Z + run_if_exists cudnn_test 2025-07-17T09:21:38.1922512Z + local test_name=cudnn_test 2025-07-17T09:21:38.1922828Z + [[ -x build/bin/cudnn_test ]] 2025-07-17T09:21:38.1923307Z + echo 'Warning: cudnn_test does not exist.' 2025-07-17T09:21:38.1923860Z Warning: cudnn_test does not exist. 2025-07-17T09:21:38.1924410Z + run_if_exists cuda_generator_test 2025-07-17T09:21:38.1924911Z + local test_name=cuda_generator_test 2025-07-17T09:21:38.1925376Z + [[ -x build/bin/cuda_generator_test ]] 2025-07-17T09:21:38.1925881Z + echo 'Warning: cuda_generator_test does not exist.' 2025-07-17T09:21:38.1926338Z Warning: cuda_generator_test does not exist. 2025-07-17T09:21:38.1926736Z + run_if_exists apply_test 2025-07-17T09:21:38.1927015Z + local test_name=apply_test 2025-07-17T09:21:38.1927347Z + [[ -x build/bin/apply_test ]] 2025-07-17T09:21:38.1927664Z + echo 'Warning: apply_test does not exist.' 2025-07-17T09:21:38.1928062Z Warning: apply_test does not exist. 2025-07-17T09:21:38.1928370Z + run_if_exists stream_test 2025-07-17T09:21:38.1928635Z + local test_name=stream_test 2025-07-17T09:21:38.1928980Z + [[ -x build/bin/stream_test ]] 2025-07-17T09:21:38.1929296Z + echo 'Warning: stream_test does not exist.' 2025-07-17T09:21:38.1929680Z Warning: stream_test does not exist. 2025-07-17T09:21:38.1929995Z + run_if_exists cuda_half_test 2025-07-17T09:21:38.1930340Z + local test_name=cuda_half_test 2025-07-17T09:21:38.1930658Z + [[ -x build/bin/cuda_half_test ]] 2025-07-17T09:21:38.1931032Z + echo 'Warning: cuda_half_test does not exist.' 2025-07-17T09:21:38.1931405Z Warning: cuda_half_test does not exist. 2025-07-17T09:21:38.1931764Z + run_if_exists cuda_vectorized_test 2025-07-17T09:21:38.1932110Z + local test_name=cuda_vectorized_test 2025-07-17T09:21:38.1932442Z + [[ -x build/bin/cuda_vectorized_test ]] 2025-07-17T09:21:38.1932875Z + echo 'Warning: cuda_vectorized_test does not exist.' 2025-07-17T09:21:38.1933284Z Warning: cuda_vectorized_test does not exist. 2025-07-17T09:21:38.1933673Z + run_if_exists cuda_distributions_test 2025-07-17T09:21:38.1934021Z + local test_name=cuda_distributions_test 2025-07-17T09:21:38.1934404Z + [[ -x build/bin/cuda_distributions_test ]] 2025-07-17T09:21:38.1934821Z + echo 'Warning: cuda_distributions_test does not exist.' 2025-07-17T09:21:38.1943999Z Warning: cuda_distributions_test does not exist. 2025-07-17T09:21:38.1944448Z + run_if_exists cuda_optional_test 2025-07-17T09:21:38.1944763Z + local test_name=cuda_optional_test 2025-07-17T09:21:38.1945160Z + [[ -x build/bin/cuda_optional_test ]] 2025-07-17T09:21:38.1945542Z + echo 'Warning: cuda_optional_test does not exist.' 2025-07-17T09:21:38.1946210Z Warning: cuda_optional_test does not exist. 2025-07-17T09:21:38.1946690Z + run_if_exists cuda_tensor_interop_test 2025-07-17T09:21:38.1947038Z + local test_name=cuda_tensor_interop_test 2025-07-17T09:21:38.1947456Z + [[ -x build/bin/cuda_tensor_interop_test ]] 2025-07-17T09:21:38.1947858Z + echo 'Warning: cuda_tensor_interop_test does not exist.' 2025-07-17T09:21:38.1948333Z Warning: cuda_tensor_interop_test does not exist. 2025-07-17T09:21:38.1948759Z + run_if_exists cuda_complex_test 2025-07-17T09:21:38.1949061Z + local test_name=cuda_complex_test 2025-07-17T09:21:38.1949394Z + [[ -x build/bin/cuda_complex_test ]] 2025-07-17T09:21:38.1949800Z + echo 'Warning: cuda_complex_test does not exist.' 2025-07-17T09:21:38.1950209Z Warning: cuda_complex_test does not exist. 2025-07-17T09:21:38.1950571Z + run_if_exists cuda_complex_math_test 2025-07-17T09:21:38.1950904Z + local test_name=cuda_complex_math_test 2025-07-17T09:21:38.1951289Z + [[ -x build/bin/cuda_complex_math_test ]] 2025-07-17T09:21:38.1951694Z + echo 'Warning: cuda_complex_math_test does not exist.' 2025-07-17T09:21:38.1952158Z Warning: cuda_complex_math_test does not exist. 2025-07-17T09:21:38.1952565Z + run_if_exists cuda_cub_test 2025-07-17T09:21:38.1952846Z + local test_name=cuda_cub_test 2025-07-17T09:21:38.1953142Z + [[ -x build/bin/cuda_cub_test ]] 2025-07-17T09:21:38.1953534Z + echo 'Warning: cuda_cub_test does not exist.' 2025-07-17T09:21:38.1953876Z Warning: cuda_cub_test does not exist. 2025-07-17T09:21:38.1954259Z + run_if_exists cuda_atomic_ops_test 2025-07-17T09:21:38.1954582Z + local test_name=cuda_atomic_ops_test 2025-07-17T09:21:38.1954946Z + [[ -x build/bin/cuda_atomic_ops_test ]] 2025-07-17T09:21:38.1955331Z + echo 'Warning: cuda_atomic_ops_test does not exist.' 2025-07-17T09:21:38.1955785Z Warning: cuda_atomic_ops_test does not exist. 2025-07-17T09:21:38.1956103Z + '[' ON == ON ']' 2025-07-17T09:21:38.1956861Z + valgrind --suppressions=/var/lib/jenkins/workspace/aten/tools/valgrind.sup --error-exitcode=1 build/bin/basic '--gtest_filter=-*CUDA' 2025-07-17T09:21:38.2202463Z ==30685== Memcheck, a memory error detector 2025-07-17T09:21:38.2203028Z ==30685== Copyright (C) 2002-2022, and GNU GPL'd, by Julian Seward et al. 2025-07-17T09:21:38.2203660Z ==30685== Using Valgrind-3.20.0 and LibVEX; rerun with -h for copyright info 2025-07-17T09:21:38.2204180Z ==30685== Command: build/bin/basic --gtest_filter=-*CUDA 2025-07-17T09:21:38.2204602Z ==30685== 2025-07-17T09:21:38.7613154Z ==30685== Warning: set address range perms: large range [0x4a4c000, 0x1c88c000) (defined) 2025-07-17T09:21:38.7613923Z ==30685== Warning: set address range perms: large range [0x5cc8000, 0x1830f000) (defined) 2025-07-17T09:22:03.5487801Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2025-07-17T09:22:03.5781943Z Note: Google Test filter = -*CUDA 2025-07-17T09:22:03.5832591Z [==========] Running 4 tests from 1 test suite. 2025-07-17T09:22:03.5859718Z [----------] Global test environment set-up. 2025-07-17T09:22:03.5931187Z [----------] 4 tests from BasicTest 2025-07-17T09:22:03.5955426Z [ RUN ] BasicTest.BasicTestCPU 2025-07-17T09:22:04.1459767Z hwloc x86 backend cannot work under Valgrind, disabling. 2025-07-17T09:22:04.1460675Z May be reenabled by dumping CPUIDs with hwloc-gather-cpuid 2025-07-17T09:22:04.1461595Z and reloading them under Valgrind with HWLOC_CPUID_PATH. 2025-07-17T09:22:04.1942834Z hwloc x86 backend cannot work under Valgrind, disabling. 2025-07-17T09:22:04.1943687Z May be reenabled by dumping CPUIDs with hwloc-gather-cpuid 2025-07-17T09:22:04.1944490Z and reloading them under Valgrind with HWLOC_CPUID_PATH. 2025-07-17T09:22:04.2666520Z hwloc x86 backend cannot work under Valgrind, disabling. 2025-07-17T09:22:04.2667678Z May be reenabled by dumping CPUIDs with hwloc-gather-cpuid 2025-07-17T09:22:04.2668469Z and reloading them under Valgrind with HWLOC_CPUID_PATH. 2025-07-17T09:22:05.0636078Z 365 ms 2025-07-17T09:22:05.1504479Z 55 ms 2025-07-17T09:22:05.2237529Z 65 ms 2025-07-17T09:22:05.9651248Z [ OK ] BasicTest.BasicTestCPU (2367 ms) 2025-07-17T09:22:05.9870760Z [ RUN ] BasicTest.BasicTestHalfCPU 2025-07-17T09:22:06.1286611Z 90 ms 2025-07-17T09:22:06.1846367Z 46 ms 2025-07-17T09:22:06.2509319Z 64 ms 2025-07-17T09:22:06.3044685Z [ OK ] BasicTest.BasicTestHalfCPU (311 ms) 2025-07-17T09:22:06.3045409Z [ RUN ] BasicTest.FactoryMethodsTest 2025-07-17T09:22:06.3375171Z [ OK ] BasicTest.FactoryMethodsTest (32 ms) 2025-07-17T09:22:06.3375899Z [ RUN ] BasicTest.BasicStdTestCPU 2025-07-17T09:22:06.4162240Z Simple example: called once 2025-07-17T09:22:06.5022828Z throw: call_once will retry 2025-07-17T09:22:06.5410580Z throw: call_once will retry 2025-07-17T09:22:06.5418616Z Didn't throw, call_once will not attempt again 2025-07-17T09:22:06.5439170Z [ OK ] BasicTest.BasicStdTestCPU (206 ms) 2025-07-17T09:22:06.5461583Z [----------] 4 tests from BasicTest (2949 ms total) 2025-07-17T09:22:06.5461873Z 2025-07-17T09:22:06.5474094Z [----------] Global test environment tear-down 2025-07-17T09:22:06.5502324Z [==========] 4 tests from 1 test suite ran. (2976 ms total) 2025-07-17T09:22:06.5514632Z [ PASSED ] 4 tests. 2025-07-17T09:22:08.3826103Z ==30685== 2025-07-17T09:22:08.3829983Z ==30685== HEAP SUMMARY: 2025-07-17T09:22:08.3830342Z ==30685== in use at exit: 479,656 bytes in 7,158 blocks 2025-07-17T09:22:08.3830862Z ==30685== total heap usage: 650,327 allocs, 643,169 frees, 194,924,702 bytes allocated 2025-07-17T09:22:08.3831319Z ==30685== 2025-07-17T09:22:08.4237859Z ==30685== LEAK SUMMARY: 2025-07-17T09:22:08.4238197Z ==30685== definitely lost: 0 bytes in 0 blocks 2025-07-17T09:22:08.4238651Z ==30685== indirectly lost: 0 bytes in 0 blocks 2025-07-17T09:22:08.4239048Z ==30685== possibly lost: 69,920 bytes in 2 blocks 2025-07-17T09:22:08.4239528Z ==30685== still reachable: 409,736 bytes in 7,156 blocks 2025-07-17T09:22:08.4239930Z ==30685== suppressed: 0 bytes in 0 blocks 2025-07-17T09:22:08.4240475Z ==30685== Rerun with --leak-check=full to see details of leaked memory 2025-07-17T09:22:08.4240944Z ==30685== 2025-07-17T09:22:08.4241278Z ==30685== For lists of detected and suppressed errors, rerun with: -s 2025-07-17T09:22:08.4241890Z ==30685== ERROR SUMMARY: 0 errors from 0 contexts (suppressed: 0 from 0) 2025-07-17T09:22:08.4766712Z + [[ -x build/bin/tensor_interop_test ]] 2025-07-17T09:22:08.4768710Z + [[ -n '' ]] 2025-07-17T09:22:08.4768959Z + assert_git_not_dirty 2025-07-17T09:22:08.4769314Z + [[ linux-jammy-py3.13-clang12 != *rocm* ]] 2025-07-17T09:22:08.4769838Z + [[ linux-jammy-py3.13-clang12 != *xla* ]] 2025-07-17T09:22:08.4775803Z ++ git status --porcelain 2025-07-17T09:22:08.4776993Z ++ grep -v '?? third_party' 2025-07-17T09:22:08.7612098Z ++ true 2025-07-17T09:22:08.7612912Z + git_status= 2025-07-17T09:22:08.7613192Z + [[ -n '' ]] 2025-07-17T09:22:08.7619538Z + test_libtorch 1 2025-07-17T09:22:08.7641496Z + local SHARD=1 2025-07-17T09:22:08.7641860Z + [[ crossref != \s\l\o\w ]] 2025-07-17T09:22:08.7642313Z + echo 'Testing libtorch' 2025-07-17T09:22:08.7642571Z Testing libtorch 2025-07-17T09:22:08.7643935Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-07-17T09:22:08.7661256Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libjitbackend_test.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-07-17T09:22:08.7673398Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libcaffe2_nvrtc.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-07-17T09:22:08.7684796Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libc10.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-07-17T09:22:08.7696572Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libshm /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libshm.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libshm_windows /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-07-17T09:22:08.7708508Z + ln -sf /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_cpu.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorch_python.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libtorchbind_test.so /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-07-17T09:22:08.7718450Z + ln -sf '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/lib/libnvfuser*' /opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-07-17T09:22:08.7729359Z + export CPP_TESTS_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-07-17T09:22:08.7730019Z + CPP_TESTS_DIR=/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin 2025-07-17T09:22:08.7730474Z + [[ -z 1 ]] 2025-07-17T09:22:08.7730698Z + [[ 1 == \1 ]] 2025-07-17T09:22:08.7730931Z + test_libtorch_api 2025-07-17T09:22:08.7746780Z + MNIST_DIR=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-07-17T09:22:08.7747410Z + python tools/download_mnist.py --quiet -d /var/lib/jenkins/workspace/test/cpp/api/mnist 2025-07-17T09:22:08.8245005Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ... 2025-07-17T09:22:08.8446715Z Failed to download (trying next): 2025-07-17T09:22:08.8447160Z HTTP Error 404: Not Found 2025-07-17T09:22:08.8447690Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz ... 2025-07-17T09:22:09.1794309Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ... 2025-07-17T09:22:09.1849948Z Failed to download (trying next): 2025-07-17T09:22:09.1850506Z HTTP Error 404: Not Found 2025-07-17T09:22:09.1851157Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz ... 2025-07-17T09:22:09.2115034Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ... 2025-07-17T09:22:09.2162042Z Failed to download (trying next): 2025-07-17T09:22:09.2162597Z HTTP Error 404: Not Found 2025-07-17T09:22:09.2163172Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz ... 2025-07-17T09:22:09.2988655Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ... 2025-07-17T09:22:09.3042133Z Failed to download (trying next): 2025-07-17T09:22:09.3042706Z HTTP Error 404: Not Found 2025-07-17T09:22:09.3043299Z Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz ... 2025-07-17T09:22:09.3630142Z + [[ linux-jammy-py3.13-clang12 == *asan* ]] 2025-07-17T09:22:09.3630595Z + [[ linux-jammy-py3.13-clang12 == *slow-gradcheck* ]] 2025-07-17T09:22:09.3630969Z + OMP_NUM_THREADS=2 2025-07-17T09:22:09.3631353Z + TORCH_CPP_TEST_MNIST_PATH=/var/lib/jenkins/workspace/test/cpp/api/mnist 2025-07-17T09:22:09.3631976Z + python test/run_test.py --cpp --verbose -i cpp/test_api -k 'not IMethodTest' 2025-07-17T09:22:11.7358379Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:22:11.7359905Z import pkg_resources 2025-07-17T09:22:13.2282926Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-07-17T09:22:13.2546897Z Found test times from artifacts 2025-07-17T09:22:13.3598599Z Found test times from artifacts 2025-07-17T09:22:13.3636455Z Running all tests 2025-07-17T09:22:13.3640119Z Running parallel tests on 3 processes 2025-07-17T09:22:13.3640487Z Name: tests to run (est. time: 0.0min) 2025-07-17T09:22:13.3640797Z Serial tests (0): 2025-07-17T09:22:13.3641294Z Parallel tests (1): 2025-07-17T09:22:13.3641595Z cpp/test_api 1/1 2025-07-17T09:22:13.3641862Z Name: excluded (est. time: 0.0min) 2025-07-17T09:22:13.3642158Z Serial tests (0): 2025-07-17T09:22:13.3642387Z Parallel tests (0): 2025-07-17T09:22:13.3646198Z Running cpp/test_api 1/1 ... [2025-07-17 09:22:13.364434] 2025-07-17T09:22:13.3646595Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:22:13.3651353Z Executing ['pytest', '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin/test_api', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1ca71df1c37b8c49.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-07-17 09:22:13.364883] 2025-07-17T09:22:15.4828954Z 2025-07-17T09:22:15.4829923Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_da0fdd163be325ef_.log 2025-07-17T09:22:15.4830524Z 2025-07-17T09:22:22.0749722Z Uploading artifacts took 6.59 seconds 2025-07-17T09:22:24.4499960Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:22:24.4501646Z import pkg_resources 2025-07-17T09:22:24.5087157Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:22:24.5089991Z import pkg_resources 2025-07-17T09:22:24.5125278Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:22:24.5128190Z import pkg_resources 2025-07-17T09:22:24.5781750Z Running cpp/test_api 1/1 ... [2025-07-17 09:22:24.577764] 2025-07-17T09:22:24.5782198Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:22:24.5786160Z Executing ['pytest', '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin/test_api', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-1d5a66e27fbfb717.xml', '-k', 'not IMethodTest', '-x', '--reruns=2'] ... [2025-07-17 09:22:24.578264] 2025-07-17T09:24:25.7722384Z 2025-07-17T09:24:25.7723190Z cpp/test_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_api_1.1_6754b014d4532e86_.log 2025-07-17T09:24:25.7735528Z 2025-07-17T09:24:26.5547696Z Running test batch 'tests to run' cost 133.19 seconds 2025-07-17T09:24:27.2682442Z + [[ linux-jammy-py3.13-clang12 != *s390x* ]] 2025-07-17T09:24:27.2683044Z + python test/run_test.py --cpp --verbose -i cpp/test_tensorexpr 2025-07-17T09:24:29.5588973Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:24:29.5591830Z import pkg_resources 2025-07-17T09:24:31.0326951Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-07-17T09:24:31.0593685Z Found test times from artifacts 2025-07-17T09:24:31.1632062Z Found test times from artifacts 2025-07-17T09:24:31.1671387Z Running all tests 2025-07-17T09:24:31.1675157Z Running parallel tests on 3 processes 2025-07-17T09:24:31.1676139Z Name: tests to run (est. time: 0.0min) 2025-07-17T09:24:31.1676707Z Serial tests (0): 2025-07-17T09:24:31.1677124Z Parallel tests (1): 2025-07-17T09:24:31.1677594Z cpp/test_tensorexpr 1/1 2025-07-17T09:24:31.1678081Z Name: excluded (est. time: 0.0min) 2025-07-17T09:24:31.1678531Z Serial tests (0): 2025-07-17T09:24:31.1678879Z Parallel tests (0): 2025-07-17T09:24:31.1679432Z Running cpp/test_tensorexpr 1/1 ... [2025-07-17 09:24:31.167605] 2025-07-17T09:24:31.1680105Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:24:31.1685634Z Executing ['pytest', '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin/test_tensorexpr', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-d23f087a023da59e.xml', '-x', '--reruns=2'] ... [2025-07-17 09:24:31.168192] 2025-07-17T09:24:32.6854560Z 2025-07-17T09:24:32.6855551Z cpp/test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_tensorexpr_1.1_0e4b1f6a8b7698a7_.log 2025-07-17T09:24:32.6856252Z 2025-07-17T09:24:34.6698220Z Uploading artifacts took 1.98 seconds 2025-07-17T09:24:37.1376938Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:24:37.1379961Z import pkg_resources 2025-07-17T09:24:37.1849589Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:24:37.1851152Z import pkg_resources 2025-07-17T09:24:37.2037443Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:24:37.2038950Z import pkg_resources 2025-07-17T09:24:37.2671167Z Running cpp/test_tensorexpr 1/1 ... [2025-07-17 09:24:37.266704] 2025-07-17T09:24:37.2671647Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:24:37.2675531Z Executing ['pytest', '/opt/conda/envs/py_3.13/lib/python3.13/site-packages/torch/bin/test_tensorexpr', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-13a65f7665cb8564.xml', '-x', '--reruns=2'] ... [2025-07-17 09:24:37.267205] 2025-07-17T09:26:05.3580089Z 2025-07-17T09:26:05.3581030Z cpp/test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.test_tensorexpr_1.1_eff8135edd78d3be_.log 2025-07-17T09:26:05.3591314Z 2025-07-17T09:26:06.1737328Z Running test batch 'tests to run' cost 95.01 seconds 2025-07-17T09:26:07.0114847Z + [[ linux-jammy-py3.13-clang12 != *android* ]] 2025-07-17T09:26:07.0115321Z + [[ linux-jammy-py3.13-clang12 != *cuda* ]] 2025-07-17T09:26:07.0115684Z + [[ linux-jammy-py3.13-clang12 != *asan* ]] 2025-07-17T09:26:07.0116105Z + [[ linux-jammy-py3.13-clang12 != *s390x* ]] 2025-07-17T09:26:07.0116441Z + export CPP_TESTS_DIR=build/bin 2025-07-17T09:26:07.0116793Z + CPP_TESTS_DIR=build/bin 2025-07-17T09:26:07.0117196Z + python test/run_test.py --cpp --verbose -i cpp/static_runtime_test 2025-07-17T09:26:09.3826829Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:26:09.3828907Z import pkg_resources 2025-07-17T09:26:10.8810201Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-07-17T09:26:10.9071749Z Found test times from artifacts 2025-07-17T09:26:11.0116936Z Found test times from artifacts 2025-07-17T09:26:11.0154619Z Running all tests 2025-07-17T09:26:11.0158076Z Running parallel tests on 3 processes 2025-07-17T09:26:11.0158921Z Name: tests to run (est. time: 0.0min) 2025-07-17T09:26:11.0159307Z Serial tests (0): 2025-07-17T09:26:11.0159577Z Parallel tests (1): 2025-07-17T09:26:11.0159988Z cpp/static_runtime_test 1/1 2025-07-17T09:26:11.0160291Z Name: excluded (est. time: 0.0min) 2025-07-17T09:26:11.0160663Z Serial tests (0): 2025-07-17T09:26:11.0160908Z Parallel tests (0): 2025-07-17T09:26:11.0161284Z Running cpp/static_runtime_test 1/1 ... [2025-07-17 09:26:11.015906] 2025-07-17T09:26:11.0161727Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:26:11.0165797Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/static_runtime_test', '-m', 'serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-0ef618c963fd4637.xml', '-x', '--reruns=2'] ... [2025-07-17 09:26:11.016348] 2025-07-17T09:26:12.6336030Z 2025-07-17T09:26:12.6337417Z cpp/static_runtime_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.static_runtime_test_1.1_3ce7eb65142a37b7_.log 2025-07-17T09:26:12.6338638Z 2025-07-17T09:26:14.5130719Z Uploading artifacts took 1.88 seconds 2025-07-17T09:26:17.0277467Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:26:17.0279048Z import pkg_resources 2025-07-17T09:26:17.0369804Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:26:17.0371327Z import pkg_resources 2025-07-17T09:26:17.0457579Z /opt/conda/envs/py_3.13/lib/python3.13/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. 2025-07-17T09:26:17.0459085Z import pkg_resources 2025-07-17T09:26:17.1595073Z Running cpp/static_runtime_test 1/1 ... [2025-07-17 09:26:17.159109] 2025-07-17T09:26:17.1595558Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-07-17T09:26:17.1599344Z Executing ['pytest', '/var/lib/jenkins/workspace/build/bin/static_runtime_test', '-m', 'not serial', '-v', '-vv', '-rfEX', '-n', '3', '--junit-xml-reruns', 'test-reports/python-pytest/test.run_test/test.run_test-cc9751207aa48d32.xml', '-x', '--reruns=2'] ... [2025-07-17 09:26:17.159596] 2025-07-17T09:33:13.0068721Z 2025-07-17T09:33:13.0070291Z cpp/static_runtime_test 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp.static_runtime_test_1.1_5e53e07c8680c886_.log 2025-07-17T09:33:13.0074105Z 2025-07-17T09:33:13.8104620Z Running test batch 'tests to run' cost 422.79 seconds 2025-07-17T09:33:14.5783567Z + [[ -z 1 ]] 2025-07-17T09:33:14.5783972Z + [[ 1 == \2 ]] 2025-07-17T09:33:14.5784388Z + assert_git_not_dirty 2025-07-17T09:33:14.5785851Z + [[ linux-jammy-py3.13-clang12 != *rocm* ]] 2025-07-17T09:33:14.5786434Z + [[ linux-jammy-py3.13-clang12 != *xla* ]] 2025-07-17T09:33:14.5790296Z ++ git status --porcelain 2025-07-17T09:33:14.5791304Z ++ grep -v '?? third_party' 2025-07-17T09:33:14.8547246Z ++ true 2025-07-17T09:33:14.8548202Z + git_status= 2025-07-17T09:33:14.8548629Z + [[ -n '' ]] 2025-07-17T09:33:14.8549109Z + [[ linux-jammy-py3.13-clang12 == *xpu* ]] 2025-07-17T09:33:14.8592229Z + sccache_epilogue 2025-07-17T09:33:14.8592651Z + echo '::group::Sccache Compilation Log' 2025-07-17T09:33:14.8593383Z ##[group]Sccache Compilation Log 2025-07-17T09:33:14.8594101Z + echo '=================== sccache compilation log ===================' 2025-07-17T09:33:14.8594725Z =================== sccache compilation log =================== 2025-07-17T09:33:14.8595351Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log 2025-07-17T09:33:14.8736409Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ===========' 2025-07-17T09:33:14.8737200Z =========== If your build fails, please take a look at the log above for possible reasons =========== 2025-07-17T09:33:14.8737709Z + sccache --show-stats 2025-07-17T09:33:14.8773208Z Compile requests 1047 2025-07-17T09:33:14.8773577Z Compile requests executed 138 2025-07-17T09:33:14.8773914Z Cache hits 99 2025-07-17T09:33:14.8774226Z Cache hits (C/C++) 99 2025-07-17T09:33:14.8774529Z Cache misses 38 2025-07-17T09:33:14.8774844Z Cache misses (C/C++) 38 2025-07-17T09:33:14.8775166Z Cache hits rate 72.26 % 2025-07-17T09:33:14.8775542Z Cache hits rate (C/C++) 72.26 % 2025-07-17T09:33:14.8775912Z Cache timeouts 0 2025-07-17T09:33:14.8776269Z Cache read errors 0 2025-07-17T09:33:14.8776598Z Forced recaches 0 2025-07-17T09:33:14.8776925Z Cache write errors 0 2025-07-17T09:33:14.8777243Z Cache errors 0 2025-07-17T09:33:14.8777556Z Compilations 38 2025-07-17T09:33:14.8777872Z Compilation failures 1 2025-07-17T09:33:14.8778223Z Non-cacheable compilations 0 2025-07-17T09:33:14.8778565Z Non-cacheable calls 15 2025-07-17T09:33:14.8778883Z Non-compilation calls 894 2025-07-17T09:33:14.8779293Z Unsupported compiler calls 0 2025-07-17T09:33:14.8779627Z Average cache write 0.044 s 2025-07-17T09:33:14.8779945Z Average compiler 12.561 s 2025-07-17T09:33:14.8780273Z Average cache read hit 0.038 s 2025-07-17T09:33:14.8780625Z Failed distributed compilations 0 2025-07-17T09:33:14.8780848Z 2025-07-17T09:33:14.8780961Z Non-cacheable reasons: 2025-07-17T09:33:14.8781212Z -E 14 2025-07-17T09:33:14.8781548Z unknown source language 1 2025-07-17T09:33:14.8781790Z 2025-07-17T09:33:14.8782238Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-07-17T09:33:14.8782864Z Version (client) 0.10.0 2025-07-17T09:33:14.8783176Z + sccache --stop-server 2025-07-17T09:33:14.8797186Z Stopping sccache server... 2025-07-17T09:33:14.8799805Z Compile requests 1047 2025-07-17T09:33:14.8800217Z Compile requests executed 138 2025-07-17T09:33:14.8800549Z Cache hits 99 2025-07-17T09:33:14.8800851Z Cache hits (C/C++) 99 2025-07-17T09:33:14.8801168Z Cache misses 38 2025-07-17T09:33:14.8801485Z Cache misses (C/C++) 38 2025-07-17T09:33:14.8801799Z Cache hits rate 72.26 % 2025-07-17T09:33:14.8802131Z Cache hits rate (C/C++) 72.26 % 2025-07-17T09:33:14.8802457Z Cache timeouts 0 2025-07-17T09:33:14.8803018Z Cache read errors 0 2025-07-17T09:33:14.8803441Z Forced recaches 0 2025-07-17T09:33:14.8803918Z Cache write errors 0 2025-07-17T09:33:14.8804414Z Cache errors 0 2025-07-17T09:33:14.8805027Z Compilations 38 2025-07-17T09:33:14.8805405Z Compilation failures 1 2025-07-17T09:33:14.8805739Z Non-cacheable compilations 0 2025-07-17T09:33:14.8806062Z Non-cacheable calls 15 2025-07-17T09:33:14.8806391Z Non-compilation calls 894 2025-07-17T09:33:14.8806730Z Unsupported compiler calls 0 2025-07-17T09:33:14.8807055Z Average cache write 0.044 s 2025-07-17T09:33:14.8807389Z Average compiler 12.561 s 2025-07-17T09:33:14.8807725Z Average cache read hit 0.038 s 2025-07-17T09:33:14.8808056Z Failed distributed compilations 0 2025-07-17T09:33:14.8808300Z 2025-07-17T09:33:14.8808399Z Non-cacheable reasons: 2025-07-17T09:33:14.8808663Z -E 14 2025-07-17T09:33:14.8808987Z unknown source language 1 2025-07-17T09:33:14.8809199Z 2025-07-17T09:33:14.8809433Z Cache location s3, name: ossci-compiler-cache-circleci-v2, prefix: / 2025-07-17T09:33:14.8809901Z Version (client) 0.10.0 2025-07-17T09:33:14.8810226Z + echo ::endgroup:: 2025-07-17T09:33:14.8810773Z ##[endgroup] 2025-07-17T09:33:14.8811005Z + cleanup_workspace 2025-07-17T09:33:14.8811511Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.' 2025-07-17T09:33:14.8812311Z sudo may print the following warning message that can be ignored. The chown command will still run. 2025-07-17T09:33:14.8812950Z + echo ' sudo: setrlimit(RLIMIT_STACK): Operation not permitted' 2025-07-17T09:33:14.8813408Z sudo: setrlimit(RLIMIT_STACK): Operation not permitted 2025-07-17T09:33:14.8813963Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42' 2025-07-17T09:33:14.8814569Z For more details refer to https://github.com/sudo-project/sudo/issues/42 2025-07-17T09:33:14.8815054Z + sudo chown -R 1000 /var/lib/jenkins/workspace 2025-07-17T09:33:17.8762304Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main 2025-07-17T09:33:17.8762821Z with: 2025-07-17T09:33:17.8763069Z benchmark-results-dir: test/test-reports 2025-07-17T09:33:17.8763405Z dry-run: false 2025-07-17T09:33:17.8763649Z schema-version: v3 2025-07-17T09:33:17.8764141Z github-token: *** 2025-07-17T09:33:17.8764364Z env: 2025-07-17T09:33:17.8764588Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:17.8765064Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:17.8765560Z ##[endgroup] 2025-07-17T09:33:17.8799312Z ##[group]Run set -eux 2025-07-17T09:33:17.8799610Z set -eux 2025-07-17T09:33:17.8799986Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-07-17T09:33:17.8800441Z  2025-07-17T09:33:17.8800664Z DEVICE_NAME="" 2025-07-17T09:33:17.8800920Z DEVICE_TYPE="" 2025-07-17T09:33:17.8801173Z  2025-07-17T09:33:17.8801449Z if command -v nvidia-smi; then 2025-07-17T09:33:17.8801913Z  # NB: I'm using PyTorch here to get the device name, however, it needs to 2025-07-17T09:33:17.8802567Z  # install the correct version of PyTorch manually for now. Any PyTorch 2025-07-17T09:33:17.8803374Z  # version is fine, I just use 2.7.1 to satify PYPIDEP linter 2025-07-17T09:33:17.8803964Z  python3 -mpip install torch==2.7.1 2025-07-17T09:33:17.8804470Z elif command -v rocminfo; then 2025-07-17T09:33:17.8805289Z  # NB: Installing torch on ROCm runner with pip here causes CI to fail 2025-07-17T09:33:17.8806244Z  # with a memoryview is too large error only on MI300 runners. Is pip 2025-07-17T09:33:17.8806936Z  # version on ROCm runner there too old? As a workaround, let's use the 2025-07-17T09:33:17.8807446Z  # GPU device name coming from rocminfo instead 2025-07-17T09:33:17.8807811Z  DEVICE_NAME=rocm 2025-07-17T09:33:17.8808313Z  DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs) 2025-07-17T09:33:17.8808904Z fi 2025-07-17T09:33:17.8809121Z  2025-07-17T09:33:17.8809384Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV 2025-07-17T09:33:17.8809804Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-07-17T09:33:17.9025096Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:17.9025484Z env: 2025-07-17T09:33:17.9025715Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:17.9026192Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:17.9026691Z ##[endgroup] 2025-07-17T09:33:17.9060799Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-07-17T09:33:18.7044940Z Defaulting to user installation because normal site-packages is not writeable 2025-07-17T09:33:19.7750732Z Collecting boto3==1.35.33 2025-07-17T09:33:19.7904781Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-07-17T09:33:20.1138449Z Collecting psutil==7.0.0 2025-07-17T09:33:20.1174053Z Downloading psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (277 kB) 2025-07-17T09:33:20.1451308Z Collecting pynvml==12.0.0 2025-07-17T09:33:20.1490554Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-07-17T09:33:20.1573495Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.33) (0.10.0) 2025-07-17T09:33:21.3302333Z Collecting botocore<1.36.0,>=1.35.33 2025-07-17T09:33:21.3336485Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-07-17T09:33:21.5171944Z Collecting s3transfer<0.11.0,>=0.10.0 2025-07-17T09:33:21.5213073Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-07-17T09:33:21.5693502Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-07-17T09:33:21.5731400Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-07-17T09:33:21.5842326Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.25.10) 2025-07-17T09:33:21.5848217Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.8.1) 2025-07-17T09:33:21.8171385Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.15.0) 2025-07-17T09:33:21.9823248Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-07-17T09:33:22.5082030Z Attempting uninstall: nvidia-ml-py 2025-07-17T09:33:22.5082955Z Found existing installation: nvidia-ml-py 11.525.84 2025-07-17T09:33:22.5104795Z Uninstalling nvidia-ml-py-11.525.84: 2025-07-17T09:33:22.5489073Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-07-17T09:33:22.6141917Z Attempting uninstall: psutil 2025-07-17T09:33:22.6142727Z Found existing installation: psutil 5.9.1 2025-07-17T09:33:22.6218650Z Uninstalling psutil-5.9.1: 2025-07-17T09:33:22.6232023Z Successfully uninstalled psutil-5.9.1 2025-07-17T09:33:22.7950571Z Successfully installed boto3-1.35.33 botocore-1.35.99 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0 s3transfer-0.10.4 2025-07-17T09:33:22.9075631Z + DEVICE_NAME= 2025-07-17T09:33:22.9075923Z + DEVICE_TYPE= 2025-07-17T09:33:22.9076177Z + command -v nvidia-smi 2025-07-17T09:33:22.9076440Z + command -v rocminfo 2025-07-17T09:33:22.9076692Z + echo DEVICE_NAME= 2025-07-17T09:33:22.9076934Z + echo DEVICE_TYPE= 2025-07-17T09:33:22.9108255Z ##[group]Run set -eux 2025-07-17T09:33:22.9108536Z set -eux 2025-07-17T09:33:22.9108867Z  2025-07-17T09:33:22.9109119Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-07-17T09:33:22.9109488Z  echo "Missing github-token input" 2025-07-17T09:33:22.9109823Z  exit 1 2025-07-17T09:33:22.9110055Z fi 2025-07-17T09:33:22.9117911Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:22.9118400Z env: 2025-07-17T09:33:22.9118622Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:22.9119080Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:22.9119591Z DEVICE_NAME: 2025-07-17T09:33:22.9119820Z DEVICE_TYPE: 2025-07-17T09:33:22.9120286Z GITHUB_TOKEN: *** 2025-07-17T09:33:22.9120514Z ##[endgroup] 2025-07-17T09:33:22.9149488Z + [[ -z *** ]] 2025-07-17T09:33:22.9207203Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-07-17T09:33:22.9207638Z with: 2025-07-17T09:33:22.9208027Z github-token: *** 2025-07-17T09:33:22.9208264Z env: 2025-07-17T09:33:22.9208481Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:22.9208954Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:22.9209459Z DEVICE_NAME: 2025-07-17T09:33:22.9209687Z DEVICE_TYPE: 2025-07-17T09:33:22.9209910Z ##[endgroup] 2025-07-17T09:33:22.9234130Z ##[group]Run set -eux 2025-07-17T09:33:22.9234416Z set -eux 2025-07-17T09:33:22.9234645Z  2025-07-17T09:33:22.9235145Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-07-17T09:33:22.9240735Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:22.9241123Z env: 2025-07-17T09:33:22.9241333Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:22.9241830Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:22.9242335Z DEVICE_NAME: 2025-07-17T09:33:22.9242552Z DEVICE_TYPE: 2025-07-17T09:33:22.9242932Z GITHUB_TOKEN: *** 2025-07-17T09:33:22.9243182Z ##[endgroup] 2025-07-17T09:33:22.9266904Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16337959907 i-0d326a62c28fd400c 2025-07-17T09:33:25.8390418Z setting job-id=46154839621 2025-07-17T09:33:25.8391002Z setting job-name=linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge) 2025-07-17T09:33:25.8511434Z ##[group]Run set -eux 2025-07-17T09:33:25.8511713Z set -eux 2025-07-17T09:33:25.8511931Z  2025-07-17T09:33:25.8512335Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-07-17T09:33:25.8512871Z  --schema-version "${SCHEMA_VERSION}" \ 2025-07-17T09:33:25.8513228Z  --repo "${REPO}" \ 2025-07-17T09:33:25.8513524Z  --head-branch "${HEAD_BRANCH}" \ 2025-07-17T09:33:25.8513864Z  --head-sha "${HEAD_SHA}" \ 2025-07-17T09:33:25.8514208Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-07-17T09:33:25.8514574Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-07-17T09:33:25.8514905Z  --job-id "${JOB_ID}" \ 2025-07-17T09:33:25.8515212Z  --job-name "${JOB_NAME}" 2025-07-17T09:33:25.8520967Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:25.8521363Z env: 2025-07-17T09:33:25.8521586Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:25.8522051Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:25.8522562Z DEVICE_NAME: 2025-07-17T09:33:25.8522794Z DEVICE_TYPE: 2025-07-17T09:33:25.8523024Z SCHEMA_VERSION: v3 2025-07-17T09:33:25.8523263Z REPO: pytorch/pytorch 2025-07-17T09:33:25.8523531Z HEAD_BRANCH: refs/heads/main 2025-07-17T09:33:25.8523861Z HEAD_SHA: a38f433be2e94a64b095a44ba39879d02d0c2316 2025-07-17T09:33:25.8524198Z WORKFLOW_RUN_ID: 16337959907 2025-07-17T09:33:25.8524474Z RUN_ATTEMPT: 1 2025-07-17T09:33:25.8524793Z JOB_ID: 46154839621 2025-07-17T09:33:25.8525322Z JOB_NAME: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge) 2025-07-17T09:33:25.8526032Z ##[endgroup] 2025-07-17T09:33:25.8556920Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha a38f433be2e94a64b095a44ba39879d02d0c2316 --workflow-id 16337959907 --run-attempt 1 --job-id 46154839621 --job-name 'linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge)' 2025-07-17T09:33:25.8895910Z ##[group]Run set -eux 2025-07-17T09:33:25.8896257Z set -eux 2025-07-17T09:33:25.8896601Z  2025-07-17T09:33:25.8897036Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-07-17T09:33:25.8903379Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:25.8903846Z env: 2025-07-17T09:33:25.8904115Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:25.8904722Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:25.8905304Z DEVICE_NAME: 2025-07-17T09:33:25.8905593Z DEVICE_TYPE: 2025-07-17T09:33:25.8905911Z ##[endgroup] 2025-07-17T09:33:25.8931082Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-07-17T09:33:25.9340088Z INFO:root:Fail to import torch to get the device name 2025-07-17T09:33:25.9450255Z ##[group]Run set -eux 2025-07-17T09:33:25.9450537Z set -eux 2025-07-17T09:33:25.9450766Z  2025-07-17T09:33:25.9451009Z # TODO (huydhn): Implement this part 2025-07-17T09:33:25.9451404Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-07-17T09:33:25.9457038Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:25.9457413Z env: 2025-07-17T09:33:25.9457634Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:25.9458123Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:25.9458634Z DEVICE_NAME: 2025-07-17T09:33:25.9458850Z DEVICE_TYPE: 2025-07-17T09:33:25.9459074Z ##[endgroup] 2025-07-17T09:33:25.9483012Z + echo 'dependencies={}' 2025-07-17T09:33:25.9511583Z ##[group]Run set -eux 2025-07-17T09:33:25.9511866Z set -eux 2025-07-17T09:33:25.9512106Z  2025-07-17T09:33:25.9512377Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-07-17T09:33:25.9512834Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-07-17T09:33:25.9513325Z  # We don't want the job to fail if the directory doesn't exist 2025-07-17T09:33:25.9513727Z  exit 0 2025-07-17T09:33:25.9513959Z fi 2025-07-17T09:33:25.9514161Z  2025-07-17T09:33:25.9514401Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-07-17T09:33:25.9514891Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-07-17T09:33:25.9515458Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-07-17T09:33:25.9515899Z  --metadata "${BENCHMARK_METADATA}" \ 2025-07-17T09:33:25.9516270Z  --runners "${RUNNER_INFO}" \ 2025-07-17T09:33:25.9516625Z  --dependencies "${DEPENDENCIES}" \ 2025-07-17T09:33:25.9516952Z  --dry-run 2025-07-17T09:33:25.9517202Z else 2025-07-17T09:33:25.9517587Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-07-17T09:33:25.9518136Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-07-17T09:33:25.9518567Z  --metadata "${BENCHMARK_METADATA}" \ 2025-07-17T09:33:25.9518926Z  --runners "${RUNNER_INFO}" \ 2025-07-17T09:33:25.9519277Z  --dependencies "${DEPENDENCIES}" 2025-07-17T09:33:25.9519589Z fi 2025-07-17T09:33:25.9525013Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:25.9525490Z env: 2025-07-17T09:33:25.9525704Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:25.9526170Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:25.9526693Z DEVICE_NAME: 2025-07-17T09:33:25.9526907Z DEVICE_TYPE: 2025-07-17T09:33:25.9527165Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-07-17T09:33:25.9527540Z DRY_RUN: false 2025-07-17T09:33:25.9528861Z BENCHMARK_METADATA: {"timestamp": 1752744805, "schema_version": "v3", "name": "linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "a38f433be2e94a64b095a44ba39879d02d0c2316", "workflow_id": 16337959907, "run_attempt": 1, "job_id": 46154839621} 2025-07-17T09:33:25.9530571Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-52-108.ec2.internal"}, "name": "", "type": ""}] 2025-07-17T09:33:25.9531210Z DEPENDENCIES: {} 2025-07-17T09:33:25.9531452Z ##[endgroup] 2025-07-17T09:33:25.9553832Z + [[ ! -d test/test-reports ]] 2025-07-17T09:33:25.9554172Z + [[ false == \t\r\u\e ]] 2025-07-17T09:33:25.9556994Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1752744805, "schema_version": "v3", "name": "linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "a38f433be2e94a64b095a44ba39879d02d0c2316", "workflow_id": 16337959907, "run_attempt": 1, "job_id": 46154839621}' --runners '[{"cpu_info": "x86_64", "cpu_count": 8, "avail_mem_in_gb": 15, "extra_info": {"hostname": "ip-10-0-52-108.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-07-17T09:33:26.1681910Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'lazy/test_ts_opinfo'}], 'excluded': []} from test/test-reports/td_exclusions-bbca22ee4bc2edef7b02.json is not a benchmark record, skipping 2025-07-17T09:33:26.1683892Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-07-17T09:33:26.1761542Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'test_transformers'}, {'test_file': 'dynamo/cpython/3_13/test_generators'}, {'test_file': 'dynamo/cpython/3_13/test_contextlib'}, {'test_file': 'dynamo/cpython/3_13/test_raise'}, {'test_file': 'dynamo/cpython/3_13/test_exceptions'}, {'test_file': 'dynamo/cpython/3_13/test_sys'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'test_numba_integration'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'test_autograd'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'test_testing'}, {'test_file': 'test_overrides'}, {'test_file': 'test_reductions'}, {'test_file': 'test_quantization'}, {'test_file': 'doctests'}, {'test_file': 'export/test_export_with_inline_and_install'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'test_linalg'}, {'test_file': 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'test_cpp_extensions_aot_no_ninja'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}], 'excluded': []} from test/test-reports/td_exclusions-5e5bcfa3dd0e0866f371.json is not a benchmark record, skipping 2025-07-17T09:33:26.1836934Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-07-17T09:33:26.1838642Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/static_runtime_test'}], 'excluded': []} from test/test-reports/td_exclusions-51169540946224cce3e0.json is not a benchmark record, skipping 2025-07-17T09:33:26.1840390Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-07-17T09:33:26.1842035Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/test_api'}], 'excluded': []} from test/test-reports/td_exclusions-41c3536878d22e70b583.json is not a benchmark record, skipping 2025-07-17T09:33:26.1843650Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-07-17T09:33:26.1847501Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/Dict_test'}, {'test_file': 'cpp/Dimname_test'}, {'test_file': 'cpp/NamedTensor_test'}, {'test_file': 'cpp/apply_utils_test'}, {'test_file': 'cpp/atest'}, {'test_file': 'cpp/basic'}, {'test_file': 'cpp/broadcast_test'}, {'test_file': 'cpp/cpu_generator_test'}, {'test_file': 'cpp/dlconvertor_test'}, {'test_file': 'cpp/extension_backend_test'}, {'test_file': 'cpp/lazy_tensor_test'}, {'test_file': 'cpp/legacy_vmap_test'}, {'test_file': 'cpp/native_test'}, {'test_file': 'cpp/operators_test'}, {'test_file': 'cpp/scalar_tensor_test'}, {'test_file': 'cpp/scalar_test'}, {'test_file': 'cpp/tensor_iterator_test'}, {'test_file': 'cpp/undefined_tensor_test'}, {'test_file': 'cpp/wrapdim_test'}], 'excluded': []} from test/test-reports/td_exclusions-ac7574d4ccd356d6303f.json is not a benchmark record, skipping 2025-07-17T09:33:26.1851364Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-07-17T09:33:26.1853125Z /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'cpp/test_tensorexpr'}], 'excluded': []} from test/test-reports/td_exclusions-7b08b2c08c047fac1ec4.json is not a benchmark record, skipping 2025-07-17T09:33:26.1854782Z warn(f"{result} from {filepath} is not a benchmark record, skipping") 2025-07-17T09:33:26.1945336Z ##[group]Run cat test/**/*_toprint.log || true 2025-07-17T09:33:26.1945749Z cat test/**/*_toprint.log || true 2025-07-17T09:33:26.1952085Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:26.1952474Z env: 2025-07-17T09:33:26.1952697Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:26.1953153Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:26.1953663Z DEVICE_NAME: 2025-07-17T09:33:26.1953898Z DEVICE_TYPE: 2025-07-17T09:33:26.1954126Z ##[endgroup] 2025-07-17T09:33:26.2044458Z cat: 'test/**/*_toprint.log': No such file or directory 2025-07-17T09:33:26.2081334Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-07-17T09:33:26.2081878Z kill "$MONITOR_SCRIPT_PID" 2025-07-17T09:33:26.2089674Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:26.2090351Z env: 2025-07-17T09:33:26.2090755Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:26.2091755Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:26.2092678Z DEVICE_NAME: 2025-07-17T09:33:26.2092942Z DEVICE_TYPE: 2025-07-17T09:33:26.2093215Z MONITOR_SCRIPT_PID: 42765 2025-07-17T09:33:26.2093516Z ##[endgroup] 2025-07-17T09:33:26.2242469Z Prepare all required actions 2025-07-17T09:33:26.2243046Z Getting action download info 2025-07-17T09:33:26.3951286Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-07-17T09:33:26.6118232Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-07-17T09:33:27.0264104Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-07-17T09:33:27.0264481Z with: 2025-07-17T09:33:27.0264794Z file-suffix: test-crossref-1-2-linux.2xlarge_46154839621 2025-07-17T09:33:27.0265177Z s3-bucket: gha-artifacts 2025-07-17T09:33:27.0265443Z env: 2025-07-17T09:33:27.0265772Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:27.0266242Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:27.0266741Z DEVICE_NAME: 2025-07-17T09:33:27.0266977Z DEVICE_TYPE: 2025-07-17T09:33:27.0267205Z ##[endgroup] 2025-07-17T09:33:27.0294404Z ##[group]Run # Remove any previous test jsons if they exist 2025-07-17T09:33:27.0294888Z # Remove any previous test jsons if they exist 2025-07-17T09:33:27.0295264Z rm -f test-jsons-*.zip 2025-07-17T09:33:27.0295705Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-07-17T09:33:27.0301713Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:27.0302091Z env: 2025-07-17T09:33:27.0302317Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:27.0302786Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:27.0303283Z DEVICE_NAME: 2025-07-17T09:33:27.0303514Z DEVICE_TYPE: 2025-07-17T09:33:27.0303833Z FILE_SUFFIX: test-crossref-1-2-linux.2xlarge_46154839621 2025-07-17T09:33:27.0304208Z ##[endgroup] 2025-07-17T09:33:27.0488126Z adding: test/test-reports/td_exclusions-bbca22ee4bc2edef7b02.json (deflated 16%) 2025-07-17T09:33:27.0492232Z adding: test/test-reports/td_exclusions-5e5bcfa3dd0e0866f371.json (deflated 82%) 2025-07-17T09:33:27.0492890Z adding: test/test-reports/td_exclusions-51169540946224cce3e0.json (deflated 14%) 2025-07-17T09:33:27.0493535Z adding: test/test-reports/td_exclusions-41c3536878d22e70b583.json (deflated 18%) 2025-07-17T09:33:27.0494189Z adding: test/test-reports/td_exclusions-ac7574d4ccd356d6303f.json (deflated 73%) 2025-07-17T09:33:27.0494851Z adding: test/test-reports/td_exclusions-7b08b2c08c047fac1ec4.json (deflated 16%) 2025-07-17T09:33:27.0523041Z ##[group]Run # Remove any previous test reports if they exist 2025-07-17T09:33:27.0523578Z # Remove any previous test reports if they exist 2025-07-17T09:33:27.0523978Z rm -f test-reports-*.zip 2025-07-17T09:33:27.0524476Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-07-17T09:33:27.0530375Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:27.0530760Z env: 2025-07-17T09:33:27.0530984Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:27.0531463Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:27.0531969Z DEVICE_NAME: 2025-07-17T09:33:27.0532196Z DEVICE_TYPE: 2025-07-17T09:33:27.0532493Z FILE_SUFFIX: test-crossref-1-2-linux.2xlarge_46154839621 2025-07-17T09:33:27.0532872Z ##[endgroup] 2025-07-17T09:33:27.0674648Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-874ec8a69816b4ef.xml (deflated 28%) 2025-07-17T09:33:27.0677903Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-7bfc0164327df1b8.xml (deflated 94%) 2025-07-17T09:33:27.0678876Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-9ec0b2003933c9d7.xml (deflated 28%) 2025-07-17T09:33:27.0681453Z adding: test/test-reports/python-pytest/lazy.test_ts_opinfo/lazy.test_ts_opinfo-5625f2f33ec7dbd2.xml (deflated 94%) 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test/test-reports/torch_np.test_reductions_1.1_452270ab235edad7_.log (deflated 96%) 2025-07-17T09:33:27.8144032Z adding: test/test-reports/profiler.test_profiler_tree_1.1_1b4364eea81bcad6_.log (deflated 75%) 2025-07-17T09:33:27.8153647Z adding: test/test-reports/test_type_promotion_1.1_d3027443ae4aa72e_.log (deflated 94%) 2025-07-17T09:33:27.8155632Z adding: test/test-reports/test_jit_autocast_1.1_7486a4f1c59b1704_.log (deflated 82%) 2025-07-17T09:33:27.8156527Z adding: test/test-reports/lazy.test_reuse_ir_1.1_3b6b70d806080333_.log (deflated 58%) 2025-07-17T09:33:27.8157488Z adding: test/test-reports/cpp.native_test_1.1_a85e979becb532a4_.log (deflated 73%) 2025-07-17T09:33:27.8195065Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-07-17T09:33:27.8195623Z # Remove any previous debugging artifacts if they exist 2025-07-17T09:33:27.8196038Z rm -f debug-*.zip 2025-07-17T09:33:27.8196327Z if [ -d 'test/debug' ]; then 2025-07-17T09:33:27.8196676Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-07-17T09:33:27.8197024Z fi 2025-07-17T09:33:27.8202645Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:27.8203015Z env: 2025-07-17T09:33:27.8203238Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:27.8203708Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:27.8204216Z DEVICE_NAME: 2025-07-17T09:33:27.8204434Z DEVICE_TYPE: 2025-07-17T09:33:27.8204748Z FILE_SUFFIX: test-crossref-1-2-linux.2xlarge_46154839621 2025-07-17T09:33:27.8205122Z ##[endgroup] 2025-07-17T09:33:27.8288543Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-07-17T09:33:27.8288877Z with: 2025-07-17T09:33:27.8289104Z s3-bucket: gha-artifacts 2025-07-17T09:33:27.8289441Z s3-prefix: pytorch/pytorch/16337959907/1/artifact 2025-07-17T09:33:27.8289797Z retention-days: 14 2025-07-17T09:33:27.8290041Z if-no-files-found: warn 2025-07-17T09:33:27.8290316Z path: test-jsons-*.zip 2025-07-17T09:33:27.8290573Z name: artifact 2025-07-17T09:33:27.8290796Z region: us-east-1 2025-07-17T09:33:27.8291029Z env: 2025-07-17T09:33:27.8291241Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:27.8291694Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:27.8292198Z DEVICE_NAME: 2025-07-17T09:33:27.8292426Z DEVICE_TYPE: 2025-07-17T09:33:27.8292637Z ##[endgroup] 2025-07-17T09:33:28.3550273Z NOTE: s3-prefix specified, ignoring name parameter 2025-07-17T09:33:28.3550770Z With the provided path, there will be 1 file uploaded 2025-07-17T09:33:28.3551224Z Uploading to s3 prefix: pytorch/pytorch/16337959907/1/artifact 2025-07-17T09:33:28.5086435Z Starting upload of test-jsons-test-crossref-1-2-linux.2xlarge_46154839621.zip 2025-07-17T09:33:28.6436787Z Finished upload of test-jsons-test-crossref-1-2-linux.2xlarge_46154839621.zip 2025-07-17T09:33:28.6721899Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-07-17T09:33:28.6722259Z with: 2025-07-17T09:33:28.6722480Z s3-bucket: gha-artifacts 2025-07-17T09:33:28.6722811Z s3-prefix: pytorch/pytorch/16337959907/1/artifact 2025-07-17T09:33:28.6723179Z retention-days: 14 2025-07-17T09:33:28.6723440Z if-no-files-found: error 2025-07-17T09:33:28.6723710Z path: test-reports-*.zip 2025-07-17T09:33:28.6723977Z name: artifact 2025-07-17T09:33:28.6724208Z region: us-east-1 2025-07-17T09:33:28.6724424Z env: 2025-07-17T09:33:28.6724647Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:28.6725112Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:28.6725612Z DEVICE_NAME: 2025-07-17T09:33:28.6725840Z DEVICE_TYPE: 2025-07-17T09:33:28.6726064Z ##[endgroup] 2025-07-17T09:33:29.0004595Z NOTE: s3-prefix specified, ignoring name parameter 2025-07-17T09:33:29.0005716Z With the provided path, there will be 1 file uploaded 2025-07-17T09:33:29.0006586Z Uploading to s3 prefix: pytorch/pytorch/16337959907/1/artifact 2025-07-17T09:33:29.0054582Z Starting upload of test-reports-test-crossref-1-2-linux.2xlarge_46154839621.zip 2025-07-17T09:33:29.2195483Z Finished upload of test-reports-test-crossref-1-2-linux.2xlarge_46154839621.zip 2025-07-17T09:33:29.2386070Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-07-17T09:33:29.2386424Z with: 2025-07-17T09:33:29.2386640Z s3-bucket: gha-artifacts 2025-07-17T09:33:29.2387068Z s3-prefix: pytorch/pytorch/16337959907/1/artifact 2025-07-17T09:33:29.2387754Z retention-days: 14 2025-07-17T09:33:29.2388153Z if-no-files-found: ignore 2025-07-17T09:33:29.2388781Z path: logs-*.zip 2025-07-17T09:33:29.2389264Z name: artifact 2025-07-17T09:33:29.2389739Z region: us-east-1 2025-07-17T09:33:29.2390197Z env: 2025-07-17T09:33:29.2390641Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:29.2391654Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:29.2392731Z DEVICE_NAME: 2025-07-17T09:33:29.2393199Z DEVICE_TYPE: 2025-07-17T09:33:29.2393680Z ##[endgroup] 2025-07-17T09:33:29.5612943Z NOTE: s3-prefix specified, ignoring name parameter 2025-07-17T09:33:29.5613470Z With the provided path, there will be 1 file uploaded 2025-07-17T09:33:29.5613960Z Uploading to s3 prefix: pytorch/pytorch/16337959907/1/artifact 2025-07-17T09:33:29.5659900Z Starting upload of logs-test-crossref-1-2-linux.2xlarge_46154839621.zip 2025-07-17T09:33:29.7896352Z Finished upload of logs-test-crossref-1-2-linux.2xlarge_46154839621.zip 2025-07-17T09:33:29.8084244Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-07-17T09:33:29.8084601Z with: 2025-07-17T09:33:29.8084815Z s3-bucket: gha-artifacts 2025-07-17T09:33:29.8085142Z s3-prefix: pytorch/pytorch/16337959907/1/artifact 2025-07-17T09:33:29.8085494Z retention-days: 14 2025-07-17T09:33:29.8085752Z if-no-files-found: ignore 2025-07-17T09:33:29.8086037Z path: debug-*.zip 2025-07-17T09:33:29.8086274Z name: artifact 2025-07-17T09:33:29.8086509Z region: us-east-1 2025-07-17T09:33:29.8086723Z env: 2025-07-17T09:33:29.8086939Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:29.8087406Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:29.8087911Z DEVICE_NAME: 2025-07-17T09:33:29.8088143Z DEVICE_TYPE: 2025-07-17T09:33:29.8088368Z ##[endgroup] 2025-07-17T09:33:30.1367600Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-07-17T09:33:30.1563047Z ##[group]Run # shellcheck disable=SC2156 2025-07-17T09:33:30.1563447Z # shellcheck disable=SC2156 2025-07-17T09:33:30.1564046Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-07-17T09:33:30.1570390Z shell: /usr/bin/bash -e {0} 2025-07-17T09:33:30.1570673Z env: 2025-07-17T09:33:30.1570885Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:30.1571358Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:30.1571869Z DEVICE_NAME: 2025-07-17T09:33:30.1572102Z DEVICE_TYPE: 2025-07-17T09:33:30.1572315Z ##[endgroup] 2025-07-17T09:33:30.4761352Z Prepare all required actions 2025-07-17T09:33:30.4762014Z Getting action download info 2025-07-17T09:33:30.5953798Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-07-17T09:33:30.5954182Z with: 2025-07-17T09:33:30.5954388Z job_id: 46154839621 2025-07-17T09:33:30.5954782Z job_name: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge) 2025-07-17T09:33:30.5955246Z workflow_name: pull 2025-07-17T09:33:30.5955505Z workflow_run_id: 16337959907 2025-07-17T09:33:30.5955790Z workflow_attempt: 1 2025-07-17T09:33:30.5956032Z env: 2025-07-17T09:33:30.5956239Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:30.5956709Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:30.5957217Z DEVICE_NAME: 2025-07-17T09:33:30.5957432Z DEVICE_TYPE: 2025-07-17T09:33:30.5957657Z ##[endgroup] 2025-07-17T09:33:30.5980921Z ##[group]Run echo "workflow_id: 16337959907" 2025-07-17T09:33:30.5981338Z echo "workflow_id: 16337959907" 2025-07-17T09:33:30.5981675Z echo "workflow_attempt: 1" 2025-07-17T09:33:30.5982095Z echo "workflow_Name: pull" 2025-07-17T09:33:30.5982405Z echo "job_id: 46154839621" 2025-07-17T09:33:30.5982898Z echo "job_name: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge)" 2025-07-17T09:33:30.5983408Z echo "artifact_prefix: " 2025-07-17T09:33:30.5983724Z python3 --version 2025-07-17T09:33:30.5989466Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:30.5989838Z env: 2025-07-17T09:33:30.5990065Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:30.5990542Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:30.5991057Z DEVICE_NAME: 2025-07-17T09:33:30.5991274Z DEVICE_TYPE: 2025-07-17T09:33:30.5991497Z ##[endgroup] 2025-07-17T09:33:30.6015306Z workflow_id: 16337959907 2025-07-17T09:33:30.6015817Z workflow_attempt: 1 2025-07-17T09:33:30.6016225Z workflow_Name: pull 2025-07-17T09:33:30.6016453Z job_id: 46154839621 2025-07-17T09:33:30.6016846Z job_name: linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge) 2025-07-17T09:33:30.6017313Z artifact_prefix: 2025-07-17T09:33:30.6028326Z Python 3.9.23 2025-07-17T09:33:30.6068894Z ##[group]Run nick-fields/retry@v3.0.0 2025-07-17T09:33:30.6069197Z with: 2025-07-17T09:33:30.6069408Z shell: bash 2025-07-17T09:33:30.6069895Z timeout_minutes: 5 2025-07-17T09:33:30.6070138Z max_attempts: 5 2025-07-17T09:33:30.6070383Z retry_wait_seconds: 30 2025-07-17T09:33:30.6070943Z command: set -eu python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7 2025-07-17T09:33:30.6071550Z polling_interval_seconds: 1 2025-07-17T09:33:30.6071827Z warning_on_retry: true 2025-07-17T09:33:30.6072102Z continue_on_error: false 2025-07-17T09:33:30.6072364Z env: 2025-07-17T09:33:30.6072566Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:30.6073039Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:30.6073553Z DEVICE_NAME: 2025-07-17T09:33:30.6073768Z DEVICE_TYPE: 2025-07-17T09:33:30.6073991Z ##[endgroup] 2025-07-17T09:33:30.9639002Z Defaulting to user installation because normal site-packages is not writeable 2025-07-17T09:33:31.0371818Z Collecting python-dateutil==2.8.2 2025-07-17T09:33:31.0515459Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-07-17T09:33:32.0148864Z Collecting boto3==1.35.42 2025-07-17T09:33:32.0182171Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-07-17T09:33:32.5245479Z Collecting pandas==2.1.3 2025-07-17T09:33:32.5279400Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-07-17T09:33:32.6648807Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-07-17T09:33:32.6674084Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-07-17T09:33:32.6720211Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0) 2025-07-17T09:33:32.6727032Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.4) 2025-07-17T09:33:32.6732513Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /home/ec2-user/.local/lib/python3.9/site-packages (from boto3==1.35.42) (1.35.99) 2025-07-17T09:33:32.7665849Z Collecting tzdata>=2022.1 2025-07-17T09:33:32.7698652Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-07-17T09:33:33.6081738Z Collecting numpy<2,>=1.22.4 2025-07-17T09:33:33.6118424Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-07-17T09:33:33.8078194Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-07-17T09:33:33.8112360Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (0.9.0) 2025-07-17T09:33:33.8117840Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from dataclasses_json==0.6.7) (3.26.1) 2025-07-17T09:33:33.8175810Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10) 2025-07-17T09:33:33.8305349Z Requirement already satisfied: packaging>=17.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (25.0) 2025-07-17T09:33:33.8409336Z Requirement already satisfied: typing-extensions>=3.7.4 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.14.1) 2025-07-17T09:33:33.8414093Z Requirement already satisfied: mypy-extensions>=0.3.0 in /home/ec2-user/.local/lib/python3.9/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0) 2025-07-17T09:33:34.0043895Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-07-17T09:33:39.0972195Z Attempting uninstall: boto3 2025-07-17T09:33:39.0974258Z Found existing installation: boto3 1.35.33 2025-07-17T09:33:39.1075890Z Uninstalling boto3-1.35.33: 2025-07-17T09:33:39.1090186Z Successfully uninstalled boto3-1.35.33 2025-07-17T09:33:39.1644819Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-07-17T09:33:39.7043366Z Command completed after 1 attempt(s). 2025-07-17T09:33:39.7100529Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-07-17T09:33:39.7101264Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-07-17T09:33:39.7101781Z  --workflow-run-id "16337959907" \ 2025-07-17T09:33:39.7102155Z  --workflow-name "pull" \ 2025-07-17T09:33:39.7102495Z  --workflow-run-attempt "1" \ 2025-07-17T09:33:39.7102827Z  --job-id "46154839621" \ 2025-07-17T09:33:39.7103320Z  --job-name "linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge)" \ 2025-07-17T09:33:39.7103840Z  --local-path "" \ 2025-07-17T09:33:39.7104150Z  --artifact-prefix "" 2025-07-17T09:33:39.7109873Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:39.7110273Z env: 2025-07-17T09:33:39.7110509Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:39.7110970Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:39.7111485Z DEVICE_NAME: 2025-07-17T09:33:39.7111724Z DEVICE_TYPE: 2025-07-17T09:33:39.7111948Z ##[endgroup] 2025-07-17T09:33:41.7792685Z repo: pytorch/pytorch 2025-07-17T09:33:41.7793085Z Search for test log in s3 bucket: ossci-utilization 2025-07-17T09:33:41.7793872Z Downloading logs-test-crossref-1-2-linux.2xlarge_46154839621.zip 2025-07-17T09:33:41.7794507Z extracting usage_log.txt from zip file logs-test-crossref-1-2-linux.2xlarge_46154839621.zip 2025-07-17T09:33:41.7795083Z Converted Log Model: UtilizationMetadata: 2025-07-17T09:33:41.7796445Z UtilizationMetadata(level='metadata', workflow_id='16337959907', job_id='46154839621', workflow_name='pull', job_name='linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge)', usage_collect_interval=1.0, data_model_version=1.0, start_at=1752735903, gpu_count=0, cpu_count=8, gpu_type=None, error=None) 2025-07-17T09:33:41.7797872Z [Db Segments] detected pytest cmd: 22, generated segments: 22 2025-07-17T09:33:41.7798271Z [db model] Peek db timeseries 2025-07-17T09:33:41.7798549Z :{ 2025-07-17T09:33:41.7798760Z "created_at": 1752744821, 2025-07-17T09:33:41.7799031Z "type": "utilization", 2025-07-17T09:33:41.7799290Z "tags": [ 2025-07-17T09:33:41.7799504Z "record" 2025-07-17T09:33:41.7799711Z ], 2025-07-17T09:33:41.7799930Z "time_stamp": 1752735903, 2025-07-17T09:33:41.7800216Z "repo": "pytorch/pytorch", 2025-07-17T09:33:41.7800561Z "workflow_id": 16337959907, 2025-07-17T09:33:41.7800838Z "run_attempt": 1, 2025-07-17T09:33:41.7801088Z "job_id": 46154839621, 2025-07-17T09:33:41.7801344Z "workflow_name": "pull", 2025-07-17T09:33:41.7801782Z "job_name": "linux-jammy-py3.13-clang12 / test (crossref, 1, 2, linux.2xlarge)", 2025-07-17T09:33:41.7802249Z "json_data": "{}" 2025-07-17T09:33:41.7802547Z } 2025-07-17T09:33:41.7803055Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.0/pytorch/pytorch/16337959907/1/46154839621/metadata 2025-07-17T09:33:41.7804006Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.0/pytorch/pytorch/16337959907/1/46154839621/metadata 2025-07-17T09:33:41.7804989Z Writing 1779 documents to S3 ossci-utilization/util_timeseries/v_1.0/pytorch/pytorch/16337959907/1/46154839621/time_series 2025-07-17T09:33:41.7806002Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.0/pytorch/pytorch/16337959907/1/46154839621/time_series 2025-07-17T09:33:41.8870171Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-07-17T09:33:41.8870653Z with: 2025-07-17T09:33:41.8870868Z env: 2025-07-17T09:33:41.8871079Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:41.8871558Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:41.8872069Z DEVICE_NAME: 2025-07-17T09:33:41.8872301Z DEVICE_TYPE: 2025-07-17T09:33:41.8872533Z ##[endgroup] 2025-07-17T09:33:41.8892349Z ##[group]Run set -eou pipefail 2025-07-17T09:33:41.8892685Z set -eou pipefail 2025-07-17T09:33:41.8892961Z  2025-07-17T09:33:41.8893326Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-07-17T09:33:41.8893813Z for _ in $(seq 1440); do 2025-07-17T09:33:41.8894160Z  # Break if no ssh session exists anymore 2025-07-17T09:33:41.8894511Z  if [ "$(who)" = "" ]; then 2025-07-17T09:33:41.8894818Z  break 2025-07-17T09:33:41.8895110Z  fi 2025-07-17T09:33:41.8895331Z  echo "." 2025-07-17T09:33:41.8895579Z  sleep 5 2025-07-17T09:33:41.8895816Z done 2025-07-17T09:33:41.8901791Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:41.8902179Z env: 2025-07-17T09:33:41.8902402Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:41.8902858Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:41.8903373Z DEVICE_NAME: 2025-07-17T09:33:41.8903602Z DEVICE_TYPE: 2025-07-17T09:33:41.8903813Z ##[endgroup] 2025-07-17T09:33:41.8928121Z Holding runner for 2 hours until all ssh sessions have logged out 2025-07-17T09:33:41.9011813Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-07-17T09:33:41.9012505Z # ignore expansion of "docker ps -q" since it could be empty 2025-07-17T09:33:41.9012947Z # shellcheck disable=SC2046 2025-07-17T09:33:41.9013308Z docker stop $(docker ps -q) || true 2025-07-17T09:33:41.9013656Z # Prune all of the docker images 2025-07-17T09:33:41.9013990Z docker system prune -af 2025-07-17T09:33:41.9019587Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:33:41.9019961Z env: 2025-07-17T09:33:41.9020183Z GIT_DEFAULT_BRANCH: main 2025-07-17T09:33:41.9020652Z DOCKER_CONTAINER_ID: e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:41.9021155Z DEVICE_NAME: 2025-07-17T09:33:41.9021387Z DEVICE_TYPE: 2025-07-17T09:33:41.9021612Z ##[endgroup] 2025-07-17T09:33:52.9648851Z e32f169f497f 2025-07-17T09:33:53.6174184Z Deleted Containers: 2025-07-17T09:33:53.6174814Z e32f169f497f33b339f02d12a92f23e0d3f55f661d4d6bfbe947661b105f2ebb 2025-07-17T09:33:53.6175335Z 2025-07-17T09:34:00.5781566Z Deleted Images: 2025-07-17T09:34:00.5782682Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3.13-clang12-01345e7669bb7198df9fce7a02a4a12ce8c84f2d 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'/home/ec2-user/actions-runner/_work/_temp/f0d8de27-ab10-4f54-8e21-5d1a57712ca9/.gitconfig' 2025-07-17T09:34:00.7509863Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/f0d8de27-ab10-4f54-8e21-5d1a57712ca9' before making global git config changes 2025-07-17T09:34:00.7510829Z Adding repository directory to the temporary git global config as a safe directory 2025-07-17T09:34:00.7515518Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-07-17T09:34:00.7564301Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-07-17T09:34:00.7595903Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-07-17T09:34:00.8015709Z Entering 'android/libs/fbjni' 2025-07-17T09:34:00.8074529Z Entering 'third_party/FP16' 2025-07-17T09:34:00.8137906Z Entering 'third_party/FXdiv' 2025-07-17T09:34:00.8194598Z Entering 'third_party/NNPACK' 2025-07-17T09:34:00.8257233Z Entering 'third_party/NVTX' 2025-07-17T09:34:00.8314402Z Entering 'third_party/VulkanMemoryAllocator' 2025-07-17T09:34:00.8370466Z Entering 'third_party/XNNPACK' 2025-07-17T09:34:00.8443529Z Entering 'third_party/aiter' 2025-07-17T09:34:00.8501070Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-07-17T09:34:00.8569270Z Entering 'third_party/benchmark' 2025-07-17T09:34:00.8627979Z Entering 'third_party/composable_kernel' 2025-07-17T09:34:00.8694540Z Entering 'third_party/cpp-httplib' 2025-07-17T09:34:00.8756077Z Entering 'third_party/cpuinfo' 2025-07-17T09:34:00.8813239Z Entering 'third_party/cudnn_frontend' 2025-07-17T09:34:00.8872486Z Entering 'third_party/cutlass' 2025-07-17T09:34:00.8939637Z Entering 'third_party/fbgemm' 2025-07-17T09:34:00.9016648Z Entering 'third_party/fbgemm/external/asmjit' 2025-07-17T09:34:00.9088210Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-07-17T09:34:00.9161604Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-07-17T09:34:00.9235944Z Entering 'third_party/fbgemm/external/cutlass' 2025-07-17T09:34:00.9322277Z Entering 'third_party/fbgemm/external/googletest' 2025-07-17T09:34:00.9395858Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-07-17T09:34:00.9462653Z Entering 'third_party/fbgemm/external/json' 2025-07-17T09:34:00.9523420Z Entering 'third_party/flash-attention' 2025-07-17T09:34:00.9584070Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-07-17T09:34:00.9649431Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-07-17T09:34:00.9718503Z Entering 'third_party/flatbuffers' 2025-07-17T09:34:00.9781369Z Entering 'third_party/fmt' 2025-07-17T09:34:00.9837975Z Entering 'third_party/gemmlowp/gemmlowp' 2025-07-17T09:34:00.9897132Z Entering 'third_party/gloo' 2025-07-17T09:34:00.9961100Z Entering 'third_party/googletest' 2025-07-17T09:34:01.0019961Z Entering 'third_party/ideep' 2025-07-17T09:34:01.0075178Z Entering 'third_party/ideep/mkl-dnn' 2025-07-17T09:34:01.0151273Z Entering 'third_party/ittapi' 2025-07-17T09:34:01.0211240Z Entering 'third_party/kineto' 2025-07-17T09:34:01.0269203Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-07-17T09:34:01.0327027Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-07-17T09:34:01.0388166Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-07-17T09:34:01.0445911Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-07-17T09:34:01.0504111Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-07-17T09:34:01.0557614Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-07-17T09:34:01.0615232Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-07-17T09:34:01.0677248Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-07-17T09:34:01.0734730Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-07-17T09:34:01.0796027Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-07-17T09:34:01.0853985Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-07-17T09:34:01.0913817Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-07-17T09:34:01.0972541Z Entering 'third_party/kleidiai' 2025-07-17T09:34:01.1032384Z Entering 'third_party/mimalloc' 2025-07-17T09:34:01.1090959Z Entering 'third_party/nlohmann' 2025-07-17T09:34:01.1149319Z Entering 'third_party/onnx' 2025-07-17T09:34:01.1227289Z Entering 'third_party/onnx/third_party/pybind11' 2025-07-17T09:34:01.1287721Z Entering 'third_party/opentelemetry-cpp' 2025-07-17T09:34:01.1348918Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-07-17T09:34:01.1406611Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-07-17T09:34:01.1466659Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-07-17T09:34:01.1522600Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-07-17T09:34:01.1580322Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-07-17T09:34:01.1636001Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-07-17T09:34:01.1696556Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-07-17T09:34:01.1752539Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-07-17T09:34:01.1811786Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-07-17T09:34:01.1870720Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-07-17T09:34:01.1947375Z Entering 'third_party/pocketfft' 2025-07-17T09:34:01.2005633Z Entering 'third_party/protobuf' 2025-07-17T09:34:01.2067545Z Entering 'third_party/protobuf/third_party/benchmark' 2025-07-17T09:34:01.2123472Z Entering 'third_party/protobuf/third_party/googletest' 2025-07-17T09:34:01.2180505Z Entering 'third_party/psimd' 2025-07-17T09:34:01.2237970Z Entering 'third_party/pthreadpool' 2025-07-17T09:34:01.2296823Z Entering 'third_party/pybind11' 2025-07-17T09:34:01.2353909Z Entering 'third_party/python-peachpy' 2025-07-17T09:34:01.2410980Z Entering 'third_party/sleef' 2025-07-17T09:34:01.2467877Z Entering 'third_party/tensorpipe' 2025-07-17T09:34:01.2523572Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-07-17T09:34:01.2581657Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-07-17T09:34:01.2637473Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-07-17T09:34:01.2693841Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-07-17T09:34:01.2747777Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-07-17T09:34:01.2828105Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-07-17T09:34:01.2849375Z http.https://github.com/.extraheader 2025-07-17T09:34:01.2859894Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-07-17T09:34:01.2894636Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-07-17T09:34:01.3202579Z Entering 'android/libs/fbjni' 2025-07-17T09:34:01.3242932Z http.https://github.com/.extraheader 2025-07-17T09:34:01.3278164Z Entering 'third_party/FP16' 2025-07-17T09:34:01.3318473Z http.https://github.com/.extraheader 2025-07-17T09:34:01.3353807Z Entering 'third_party/FXdiv' 2025-07-17T09:34:01.3393524Z http.https://github.com/.extraheader 2025-07-17T09:34:01.3426650Z Entering 'third_party/NNPACK' 2025-07-17T09:34:01.3464397Z http.https://github.com/.extraheader 2025-07-17T09:34:01.3500641Z Entering 'third_party/NVTX' 2025-07-17T09:34:01.3537980Z http.https://github.com/.extraheader 2025-07-17T09:34:01.3573912Z Entering 'third_party/VulkanMemoryAllocator' 2025-07-17T09:34:01.3611674Z http.https://github.com/.extraheader 2025-07-17T09:34:01.3646174Z Entering 'third_party/XNNPACK' 2025-07-17T09:34:01.3684223Z http.https://github.com/.extraheader 2025-07-17T09:34:01.3733464Z Entering 'third_party/aiter' 2025-07-17T09:34:01.3772731Z http.https://github.com/.extraheader 2025-07-17T09:34:01.3811351Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-07-17T09:34:01.3848713Z http.https://github.com/.extraheader 2025-07-17T09:34:01.3891822Z Entering 'third_party/benchmark' 2025-07-17T09:34:01.3929378Z http.https://github.com/.extraheader 2025-07-17T09:34:01.3963695Z Entering 'third_party/composable_kernel' 2025-07-17T09:34:01.4002126Z http.https://github.com/.extraheader 2025-07-17T09:34:01.4043842Z Entering 'third_party/cpp-httplib' 2025-07-17T09:34:01.4083858Z http.https://github.com/.extraheader 2025-07-17T09:34:01.4117858Z Entering 'third_party/cpuinfo' 2025-07-17T09:34:01.4156074Z http.https://github.com/.extraheader 2025-07-17T09:34:01.4193236Z Entering 'third_party/cudnn_frontend' 2025-07-17T09:34:01.4231120Z http.https://github.com/.extraheader 2025-07-17T09:34:01.4265627Z Entering 'third_party/cutlass' 2025-07-17T09:34:01.4304289Z http.https://github.com/.extraheader 2025-07-17T09:34:01.4350368Z Entering 'third_party/fbgemm' 2025-07-17T09:34:01.4388086Z http.https://github.com/.extraheader 2025-07-17T09:34:01.4423785Z Entering 'third_party/fbgemm/external/asmjit' 2025-07-17T09:34:01.4460141Z http.https://github.com/.extraheader 2025-07-17T09:34:01.4493641Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-07-17T09:34:01.4530012Z http.https://github.com/.extraheader 2025-07-17T09:34:01.4569328Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-07-17T09:34:01.4607944Z http.https://github.com/.extraheader 2025-07-17T09:34:01.4641517Z Entering 'third_party/fbgemm/external/cutlass' 2025-07-17T09:34:01.4678757Z http.https://github.com/.extraheader 2025-07-17T09:34:01.4720215Z Entering 'third_party/fbgemm/external/googletest' 2025-07-17T09:34:01.4756731Z http.https://github.com/.extraheader 2025-07-17T09:34:01.4790339Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-07-17T09:34:01.4828832Z http.https://github.com/.extraheader 2025-07-17T09:34:01.4864340Z Entering 'third_party/fbgemm/external/json' 2025-07-17T09:34:01.4902050Z http.https://github.com/.extraheader 2025-07-17T09:34:01.4939541Z Entering 'third_party/flash-attention' 2025-07-17T09:34:01.4977669Z http.https://github.com/.extraheader 2025-07-17T09:34:01.5013386Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-07-17T09:34:01.5051156Z http.https://github.com/.extraheader 2025-07-17T09:34:01.5091931Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-07-17T09:34:01.5131517Z http.https://github.com/.extraheader 2025-07-17T09:34:01.5176671Z Entering 'third_party/flatbuffers' 2025-07-17T09:34:01.5215877Z http.https://github.com/.extraheader 2025-07-17T09:34:01.5253448Z Entering 'third_party/fmt' 2025-07-17T09:34:01.5292313Z http.https://github.com/.extraheader 2025-07-17T09:34:01.5326324Z Entering 'third_party/gemmlowp/gemmlowp' 2025-07-17T09:34:01.5364299Z http.https://github.com/.extraheader 2025-07-17T09:34:01.5403073Z Entering 'third_party/gloo' 2025-07-17T09:34:01.5441479Z http.https://github.com/.extraheader 2025-07-17T09:34:01.5476292Z Entering 'third_party/googletest' 2025-07-17T09:34:01.5514590Z http.https://github.com/.extraheader 2025-07-17T09:34:01.5548071Z Entering 'third_party/ideep' 2025-07-17T09:34:01.5585769Z http.https://github.com/.extraheader 2025-07-17T09:34:01.5619577Z Entering 'third_party/ideep/mkl-dnn' 2025-07-17T09:34:01.5657075Z http.https://github.com/.extraheader 2025-07-17T09:34:01.5699965Z Entering 'third_party/ittapi' 2025-07-17T09:34:01.5742273Z http.https://github.com/.extraheader 2025-07-17T09:34:01.5777860Z Entering 'third_party/kineto' 2025-07-17T09:34:01.5815509Z http.https://github.com/.extraheader 2025-07-17T09:34:01.5850703Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-07-17T09:34:01.5888382Z http.https://github.com/.extraheader 2025-07-17T09:34:01.5923643Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-07-17T09:34:01.5961329Z http.https://github.com/.extraheader 2025-07-17T09:34:01.6000585Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-07-17T09:34:01.6039361Z http.https://github.com/.extraheader 2025-07-17T09:34:01.6074979Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-07-17T09:34:01.6112420Z http.https://github.com/.extraheader 2025-07-17T09:34:01.6147765Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-07-17T09:34:01.6185973Z http.https://github.com/.extraheader 2025-07-17T09:34:01.6220376Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-07-17T09:34:01.6259991Z http.https://github.com/.extraheader 2025-07-17T09:34:01.6300115Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-07-17T09:34:01.6337516Z http.https://github.com/.extraheader 2025-07-17T09:34:01.6372870Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-07-17T09:34:01.6414773Z http.https://github.com/.extraheader 2025-07-17T09:34:01.6450252Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-07-17T09:34:01.6488490Z http.https://github.com/.extraheader 2025-07-17T09:34:01.6524242Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-07-17T09:34:01.6561912Z http.https://github.com/.extraheader 2025-07-17T09:34:01.6599793Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-07-17T09:34:01.6637961Z http.https://github.com/.extraheader 2025-07-17T09:34:01.6674665Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-07-17T09:34:01.6711984Z http.https://github.com/.extraheader 2025-07-17T09:34:01.6750560Z Entering 'third_party/kleidiai' 2025-07-17T09:34:01.6790254Z http.https://github.com/.extraheader 2025-07-17T09:34:01.6826828Z Entering 'third_party/mimalloc' 2025-07-17T09:34:01.6865272Z http.https://github.com/.extraheader 2025-07-17T09:34:01.6900859Z Entering 'third_party/nlohmann' 2025-07-17T09:34:01.6941415Z http.https://github.com/.extraheader 2025-07-17T09:34:01.6980653Z Entering 'third_party/onnx' 2025-07-17T09:34:01.7020545Z http.https://github.com/.extraheader 2025-07-17T09:34:01.7077026Z Entering 'third_party/onnx/third_party/pybind11' 2025-07-17T09:34:01.7116834Z http.https://github.com/.extraheader 2025-07-17T09:34:01.7154063Z Entering 'third_party/opentelemetry-cpp' 2025-07-17T09:34:01.7193940Z http.https://github.com/.extraheader 2025-07-17T09:34:01.7232208Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-07-17T09:34:01.7274193Z http.https://github.com/.extraheader 2025-07-17T09:34:01.7309437Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-07-17T09:34:01.7347063Z http.https://github.com/.extraheader 2025-07-17T09:34:01.7381943Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-07-17T09:34:01.7418412Z http.https://github.com/.extraheader 2025-07-17T09:34:01.7452010Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-07-17T09:34:01.7488957Z http.https://github.com/.extraheader 2025-07-17T09:34:01.7526107Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-07-17T09:34:01.7563666Z http.https://github.com/.extraheader 2025-07-17T09:34:01.7598481Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-07-17T09:34:01.7636893Z http.https://github.com/.extraheader 2025-07-17T09:34:01.7672855Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-07-17T09:34:01.7710300Z http.https://github.com/.extraheader 2025-07-17T09:34:01.7744570Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-07-17T09:34:01.7785014Z http.https://github.com/.extraheader 2025-07-17T09:34:01.7823667Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-07-17T09:34:01.7861997Z http.https://github.com/.extraheader 2025-07-17T09:34:01.7899500Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-07-17T09:34:01.7937479Z http.https://github.com/.extraheader 2025-07-17T09:34:01.7994762Z Entering 'third_party/pocketfft' 2025-07-17T09:34:01.8035448Z http.https://github.com/.extraheader 2025-07-17T09:34:01.8070777Z Entering 'third_party/protobuf' 2025-07-17T09:34:01.8110533Z http.https://github.com/.extraheader 2025-07-17T09:34:01.8149553Z Entering 'third_party/protobuf/third_party/benchmark' 2025-07-17T09:34:01.8187863Z http.https://github.com/.extraheader 2025-07-17T09:34:01.8222121Z Entering 'third_party/protobuf/third_party/googletest' 2025-07-17T09:34:01.8258955Z http.https://github.com/.extraheader 2025-07-17T09:34:01.8298085Z Entering 'third_party/psimd' 2025-07-17T09:34:01.8337968Z http.https://github.com/.extraheader 2025-07-17T09:34:01.8373588Z Entering 'third_party/pthreadpool' 2025-07-17T09:34:01.8412036Z http.https://github.com/.extraheader 2025-07-17T09:34:01.8446856Z Entering 'third_party/pybind11' 2025-07-17T09:34:01.8485559Z http.https://github.com/.extraheader 2025-07-17T09:34:01.8520984Z Entering 'third_party/python-peachpy' 2025-07-17T09:34:01.8561603Z http.https://github.com/.extraheader 2025-07-17T09:34:01.8596248Z Entering 'third_party/sleef' 2025-07-17T09:34:01.8634070Z http.https://github.com/.extraheader 2025-07-17T09:34:01.8668330Z Entering 'third_party/tensorpipe' 2025-07-17T09:34:01.8706236Z http.https://github.com/.extraheader 2025-07-17T09:34:01.8743671Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-07-17T09:34:01.8781416Z http.https://github.com/.extraheader 2025-07-17T09:34:01.8819379Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-07-17T09:34:01.8856801Z http.https://github.com/.extraheader 2025-07-17T09:34:01.8891102Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-07-17T09:34:01.8929334Z http.https://github.com/.extraheader 2025-07-17T09:34:01.8963310Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-07-17T09:34:01.9001325Z http.https://github.com/.extraheader 2025-07-17T09:34:01.9035479Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-07-17T09:34:01.9074851Z http.https://github.com/.extraheader 2025-07-17T09:34:01.9201621Z A job completed hook has been configured by the self-hosted runner administrator 2025-07-17T09:34:01.9228071Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-07-17T09:34:01.9233330Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-07-17T09:34:01.9233731Z ##[endgroup] 2025-07-17T09:34:11.4405285Z Cleaning up orphan processes